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Digital Poster - Tuesday
Weekend and Oral

Digital Poster (no CME credit)

Monday Digital Poster Wednesday Digital Poster Thursday Digital Poster

Tuesday Digital Poster (No CME Credit)

General Cancer Imaging

08:15
2299 - 2398

Spectroscopy & Non-Proton MR

09:15
2474 - 2548

Neuro

09:15
2549 - 2648
13:30
2649 - 2821
14:30
2822 - 2993
15:45
2994 - 3164
16:45
3165 - 3338

Cancer Metabolism, pH & Oxygenation

Exhibition Hall
Tuesday 8:15 - 9:15
 General Cancer Imaging

2299
Computer 1
Magnetic Resonance Imaging of Oxygen Carriers in Treatment of Hypoxic Tumours
Emma Bluemke1, Joshua Owen1, Elinor Thompson2, Paul Kinchesh3, Sean Smart3, Eleanor Stride1, and Daniel Bulte1

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2University of Nottingham, Nottingham, United Kingdom, 3Department of Oncology, University of Oxford, Oxford, United Kingdom

It is established that tumour hypoxia is a predictor of cancer disease progression, treatment failures, and metastatic potential. There remains a need for oxygen delivery mechanisms for hypoxia reduction. The ideal method for measuring oxygen in tissue is noninvasive and quantitative, allowing tumour pO2 measurements to be obtained before, during, and after treatment. We investigated effects of oxygen nano-carriers on the longitudinal relaxation times of tumour tissues in vivo and a phantom. T1 decreased with increased oxygen concentration in phantom. The injection of the oxygenated nanobubbles resulted in a statistically significant decrease in T1-weighted signal when measured 6-8 minutes post-injection.

2300
Computer 2
Investigating the effects of hypoxia on fibroblast invasion and metabolism
Jesus Pacheco-Torres1, Tariq Shah1, Flonne Wildes1, Dimitry Artemov1, and Zaver M. Bhujwalla1,2,3

1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science. The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

Fibroblast are considered as a major source of Collagen 1 fiber in the tumor stroma and to play a fundamental role in extracellular matrix (ECM) modification. Thus, cancer associated fibroblast has been related with increased tumor proliferation, invasion and metastasis. In the present study, we want to characterize the effect of different tumor microenvironments, as hypoxia and acidic extracellular pH, in the ability of prostate fibroblast cells to invade and degrade the extracellular matrix (ECM), as well with changes in their metabolome. We used our MR compatible cell perfusion system to assess this.

2301
Computer 3
Choline kinase-α downregulation decreases prostate cancer associated fibroblast viability
Jesus Pacheco-Torres1, Flonne Wildes1, Tariq Shah1, Balaji Krishnamachary 1, and Zaver M Bhujwalla1,2,3

1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science. The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center. The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

Cancer associated fibroblasts (CAFs) significantly influence the proliferation, invasion, and metastasis of cancer cells.  CAFs are detected in most tumors and provide a ubiquitous target that is being actively investigated in cancer treatment.  In prostate cancer, fibroblasts have been shown to induce growth, confer castration-resistance, and increase metastatic potential.  Choline kinase (Chk)-α downregulation has been previously shown to significantly decrease cancer cell viability but its effect on CAFs has not been investigated before.  Here we found, for the first time, a significant decrease of prostate cancer fibroblast (PCAF) viability with Chk-α downregulation.

2302
Computer 4
Design and validation of an MRI-based oxygen sensor for a cervical cancer clinical trial
Gregory J. Ekchian1, Junichi Tokuda2, Brian Barnes1, Robert Cormack3, Larissa Lee3, and Michael Cima1,4

1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States, 3Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, United States, 4Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States

Many cancer patients experience lower survival rates if they have less well oxygenated tumors. Lower tumor oxygen levels can lead to a reduced effectiveness of radiation therapy. The ability to overcome this radiotherapy resistance has been severely limited by the lack of a clinically compatible quantitative oxygen sensing technology. We report the design and validation of a silicone-based oxygen sensor measured with MRI for an approved human clinical trial in patients with cervical cancer. The sensor has been validated for compatibility with the clinical workflow and is specifically designed to achieve the endpoints of the trial.

2303
Computer 5
Multiparamter MRI Investigation of High-Grade Glioma Response to CAR T Cell Immunotherapy
Harshan Ravi1, Olya Stringfield2, Gustavo De Leon3, Sandra Johnston4, Christine E Brown5, Kristin R Swanson3, Robert A Gatenby6, and Natarajan Raghunand1

1Department of cancer physiology, Moffitt Cancer research center, Tampa, FL, United States, 2Irat Shared service, Moffitt Cancer research center, Tampa, FL, United States, 3Mathematical NeuroOncology Lab Precision Neurotherapeutics innovation program, Mayo clinic, Phoenix, AZ, United States, 4Department of Radiology, University of Washington, Seattle, WA, United States, 5Department of Cancer Immunotherapy and Tumor Immunology, City of Hope Beckman Research Institute and Medical Center, Duarte, CA, United States, 6Department diagnostic and interventional radiology, Moffitt Cancer research center, Tampa, FL, United States

Immunotherapy is gaining interest for treatment of even poorly immunogenic cancers like gliomas. Pseudo-progression and pseudo-response are frequently noted on standard of care MRI in glioma patients receiving immunotherapy. We present a "Habitat" imaging approach to objectively follow response to CAR T cell therapy of glioma. 

2304
Computer 6
In vivo evaluation of pentose phosphate pathway activity in orthotopic glioma using hyperpolarized δ-[1-13C]gluconolactone
Georgios Batsios1, Pavithra Viswanath1, Peng Cao1, Celine Taglang1, Elavarasan Subramani1, Robert Flavell1, Peder Larson1, and Sabrina Ronen1

1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States

Flux via the pentose phosphate pathway (PPP) is typically upregulated in tumor cells. Imaging this upregulation could therefore help in monitoring tumor development and response to treatment. A previous study presented the use of hyperpolarized δ-[1-13C]gluconolactone to detect flux through PPP by monitoring its conversion to 6-phospho-[1-13C]gluconate in isolated perfused livers. Here, we demonstrate that HP δ-[1-13C]gluconolactone can also be used to monitor PPP activity in healthy brain and in gliomas, and that the ratio of HP 6-phospho-[1-13C]gluconate to 6-phospho-δ-[1-13C]gluconolactone is significantly higher in tumor regions compared to healthy brain.

2305
Computer 7
Tracking adoptive cell transfer of primary human and mouse T-cells in naïve NSG and Balb/c mice, respectively, using PET and MRI methods
Naomi S. Sta Maria1, Leslie A. Khawli2, Sharon W. Lin1, Vyshnavi Pachipulusu2, Long Zhen2, Daniel Cohrs3, Alan L. Epstein2, and Russell E. Jacobs1

1Zilkha Neurogenetic Institute, Keck School of Medicine of USC, Los Angeles, CA, United States, 2Pathology and Laboratory Medicine, Keck School of Medicine of USC, Los Angeles, CA, United States, 3Keck School of Medicine of USC, Los Angeles, CA, United States

We determined the biodistribution of adoptively transferred primary T-cells in naïve mice to create a basis for quantifying adoptively transferred modified T-cells in mice cancer models, using PET and MRI cell labeling techniques simultaneously. Separate populations of T-cells were labeled with either a PET (89Zr) or an MRI label (ferumoxytol), and were injected intravenously into mice together. Animals underwent simultaneous PET/MRI imaging up to 5 days following cell injection in an MR Solutions 7 Tesla scanner with a PET camera. We looked at two models: primary mouse T-cells in naïve Balb/c mice and primary human T-cells in naïve NSG.

2306
Computer 8
A Pre-Clinical PET/MRI/MRS Study on Lactate Transport Inhibition by Bitter Melon Juice in Pancreatic Cancer Models
Deepanshi Dhar1, Aaron Safadi2, Jenna L Steiner2, Raina Komal1, Chapla Agarwal1, Rajesh Agarwal1, and Natalie J Serkova2

1Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, United States, 2Radiology, University of Colorado Denver, Aurora, CO, United States

Pancreatic cancer (PDAC) is a highly aggressive malignancy, displaying poor response to the frontline chemotherapeutics. PDAC cells undergo cellular reprograming to meet their bioenergetic and biosynthetic demands, with glycolytic shift emerging as the primary metabolic hallmark of carcinogenesis. Bitter melon juice (BMJ) is a widely consumed vegetable in Asia; recent studies have reported an increased AMPK phosphorylation and activation in BMJ-treated tumor xenografts. Here, we report on an inhibition of lactate export in PANC1 cells upon BMJ treatment, leading to acidification and cell death mediated by decreased transporter expression of GLUT1 and MCT4, both in vitro and in vivo.

2307
Computer 9
13C Metabolomic and Fluxomic Study of Human Melanoma Metabolic Network in vivo
Alexander A. Shestov1, Seung-Cheol Lee1, Kavindra Nath1, Jeff Roman1, Clementina Mesaros2, David A. Nelson2, Dennis Leeper3, Ian A. Blair2, and Jerry D. Glickson1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2University of Pennsylvania, Philadelphia, PA, United States, 3Thomas Jefferson University, Philadelphia, PA, United States

Information from 13C isotopomers, which appear as multiplets in 13C spectra can be measured and quantified in vivo. Using this additional information alone with extended melanoma tumor  bionetwork model has enable simultaneous fitting of experimental dynamic isotopomer turnover curves and evaluation of metabolic parameters and fluxes

2308
Computer 10
Comparison of the Capability for Quantitative Distinguishing Malignant from Benign Solitary Pulmonary Nodules among actual DWI, computed DWIs with different b values and FDG-PET/CT
Yuji Kishida1, Masao Yui2, Yoshimori Kassai2, Shinichiro Seki3,4, Takeshi Yoshikawa3,4, Katsusuke Kyotani5, Takamichi Murakami1,5, and Yoshiharu Ohno3,4

1Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 2Canon Medical Systems Corporation, Otawara, Japan, 3Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 4Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Japan, 5Center for Radiology and Radiation Oncology, Kobe University Hospital, Kobe, Japan

    There are no major papers that compared differentiating capability of SPNs among actual DWI (aDWI), computed DWIs (cDWIs)with different b values and FDG-PET/CT in patients with SPN.  We hypothesize that cDWI obtained appropriate b value can improve the capability for differentiating malignant from benign SPNs as compared with aDWI and FDG-PET/CT.  The purpose of this study is to directly compare the capability for differentiating malignant from benign pulmonary nodules among aDWI, cDWIs with different b values and FDG-PET/CT.

2309
Computer 11
Towards a Small Molecule GDPD6 Inhibitor: Investigating Dipyridamole via 1H HRMRS and Computational Studies
Caitlin Tressler1, Kanchan Sonkar1, and Kristine Glunde1,2

1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

We are studying the role of GDPD6 in breast cancer, as well as its potential as a therapeutic target. GDPD6 silencing experiments showed decreased invasion and migration in breast cancer cells. There is currently no small molecule inhibitor for GDPD6. We have identified dipyridamole as potential GDPD6 inhibitor, which can be used both in the lab and potentially in the clinic. We are using a combination of 1H MRS and computational studies to determine how dipyridamole inhibits GDPD6 to evaluate its potential as an inhibitor and identify other potential small molecule inhibitors of GDPD6. 

2310
Computer 12
Time evolution of extracellular pH with BIRDS in a rabbit model of human liver cancer
Daniel Coman1, Lynn Jeanette Savic1, Isabel Schobert1, John Walsh2, Lucas Christoph Adam1, Nina Tritz1, MingDe Lin1,3, Julius Chapiro1, Albert John Sinusas1,4, Todd Constable1, Douglas Rothman1,2, James Duncan1,2, Fahmeed Hyder1,2, and Dana Peters1

1Radiology & Biomedical Imaging, Yale University, New Haven, CT, United States, 2Biomedical Engineering, Yale University, New Haven, CT, United States, 3Visage Imaging, Inc., San Diego, CA, United States, 4Cardiovascular Medicine, Yale University, New Haven, CT, United States

Here we report extracellular pH (pHe) mapping with BIRDS using TmDOTP5- in normal and VX2 tumors in rabbit liver tissue. Transarterial chemoembolization (TACE) was performed and the rabbits were scanned without TACE, or at 1 day and 2 weeks post TACE. The pHe maps show lower pHe in tumor and tumor edge compared to normal liver. Tumor acidity prior to TACE remain at 1 day post TACE, but it is almost normalized at 2 weeks post TACE. The ability to measure pHe in a translational model and compare it with “normal” tissue improves tumor detection and monitoring of tumor treatment.

2311
Computer 13
Toward Quantitative MRI Parameter Mapping of Triple Negative Breast Cancer Patient-Derived Xenographs: The Challenge of Tumor Heterogeneity
Xia Ge1, John A Engelbach1, James D Quirk1, Larry G Bretthorst1, Joel R Garbow1,2, and Joseph JH Ackerman1,2,3

1Departments of Radiology, Washington University, St Louis, MO, United States, 2Alvin J. Siteman Cancer Center, Washington University, St Louis, MO, United States, 3Department of Chemistry, Washington University, St Louis, MO, United States

Triple negative breast cancer patient-derived xenographs were implanted in the 4th abdominal mammary fat pads of mice enrolled in a ~60 minute, multi-contrast, same-day (morning vs. afternoon), test-retest MRI protocol. Quantitative T1, T2, and ADC maps were acquired. Parameter distributions were characterized by standard statistical measures (mean, median, standard deviation, skewness, and kurtosis) and a Bayesian implementation of the maximum-entropy method-of-moments density function. TNBC PDX T2 maps were found to be markedly more robust to test-retest assessment compared to T1 and ADC maps. These results will inform studies employing MRI assessment of TNBC PDX response to docetaxel/carboplatin therapy.

2312
Computer 14
OE-MRI, DCE-MRI and DWI provide complementary response evaluation in patients with rectal cancer treated with chemoradiotherapy
Ross A Little1, Anubhav Datta2, Adam K Featherstone1, Yvonne Watson1, Susan Cheung1, Lucy Buckley3, Mark P Saunders3, Geoff JM Parker1,4, and James PB O'Connor1,2,5

1Quantitative Biomedical Imaging Laboratory, University of Manchester, Manchester, United Kingdom, 2Department of Radiology, Christie Hospital, Manchester, United Kingdom, 3Department of Clinical Oncology, Christie Hospital, Manchester, United Kingdom, 4Bioxydyn Ltd, Manchester, United Kingdom, 5Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom

Biomarkers derived from functional MRI have potential to monitor response to therapy and stratify patient care. In this study of 22 patients with rectal cancer we evaluated the relative merits of using OE-MRI, DCE-MRI and DWI biomarkers to assess response to chemoradiotherapy. We show that OE-MRI is feasible in rectal cancer tumours and provides complementary information to that measured by DWI and DCE-MRI. Data suggests that OE-MRI may be useful as a pharmacodynamic tool to identify hypoxia modification as this was present by day 14, but not at day 7 into therapy. 

2313
Computer 15
Association between Metabolism Measured by PET/CT and Vascular Parameters Measured by Dynamic Contrast Enhanced MRI in Spinal Lesions
Jiahui Zhang1, Enlong Zhang1, Yanyan Zhang2, Yongye Chen1, Ning Lang1, Hon J Yu3, Huishu Yuan1, and Min-Ying Lydia Su3

1Department of Radiology, Peking University Third Hospital, Beijing, China, 2Department of Nuclear Medicine, Peking University Third Hospital, Beijing, China, 3Department of Radiological Sciences, University of California, Irvine, CA, United States

A total of 49 patients with spinal lesions receiving DCE-MRI and 18F-FDG PET/CT were analyzed. The ROI was manually placed on strongly enhanced area on MRI to measure DCE enhancement kinetics, and from which the wash-in and maximum enhancement ratio, wash-out slope, Ktrans and kep were extracted. SUVmax was measured from the corresponding lesion on FDG uptake map. The results showed that vascular parameters measured from DCE-MRI were not correlated with glucose metabolism measured by PET/CT; therefore, they represent different aspects of lesion, and may be combined for better staging or predicting prognosis rather than being used for diagnosis.

2314
Computer 16
Weekly T2’ and rOEF-mapping monitoring tumor oxygenation in patients with recurrent glioblastoma undergoing antiangiogenetic therapy
Katharina J. Wenger1, Elke Hattingen1, Joachim P. Steinbach2, Oliver Bähr2, Marlies Wagner1, Ralf Deichmann3, and Jan-Rüdiger Schüre1

1Institute of Neuroradiology, University Hospital Frankfurt, Frankfurt am Main, Germany, 2Dr. Senckenberg Institute of Neurooncology, University Hospital Frankfurt, Frankfurt am Main, Germany, 3Brain Imaging Center, University Hospital Frankfurt, Frankfurt am Main, Germany

For tumor treatment with bevacizumab (BEV), a VEGF-specific antibody, some preclinical reports describe a partial normalization of vessels resulting in a transient improvement in tumor oxygenation, while others observed a decrease in neovascularization, with induction of intratumoral hypoxia. By weekly monitoring rOEF with MRI in six glioblastoma patients until tumor progression according to RANO, we were able to discriminate between two tumor phenotypes with different biological behavior.

2315
Computer 17
Quantification of Cerebral Blood Flow using arterial spin labeling in glioblastoma multiforme; challenges of calibration in the presence of oedema.
Paula L Croal1,2, Flora Kennedy-McConnell1,2, Benjamin Harris3,4, Ruichong Ma4, Stasya M Ng3, Puneet Plaha4,5, Simon Lord3,4, Nicola R Sibson6, and Michael A Chappell1,2

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroscience, University of Oxford, Oxford, United Kingdom, 3Department of Oncology, University of Oxford, Oxford, United Kingdom, 4Oxford University Hospitals NHS Trust, Oxford, United Kingdom, 5Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom, 6Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom

Arterial spin labeling (ASL) offers a non-invasive and repeatable method for quantifying CBF, a promising biomarker in cancer imaging. However, the consensus for voxelwise calibration may not be appropriate for application in tumours. We hypothesise that voxelwise calibration in the presence of oedema will decrease sensitivity to alterations in CBF, and test this by measuring CBF with pseudocontinurous ASL in seven patients with glioblastoma multiforme, comparing the impact of voxelwise, white matter, and CSF calibration on tumour CBF. Calibration choice significantly affects absolute CBF; with a loss of CBF contrast in tumours when using voxelwise calibration, which may have clinical implication.

2316
Computer 18
The effect of sunitinib treatment assessed by intravital microscopy and DCE-MRI in pancreatic ductal adenocarcinoma xenografts
Jon-Vidar Gaustad1, Catherine S Wegner1, Anette Hauge1, Trude G Simonsen1, and Einar K Rofstad1

1Oslo University Hospital, Oslo, Norway

The effect of sunitinib treatment was evaluated by DCE-MRI, intravital microscopy, and immunohistochemistry in pancreatic ductal adenocarcinoma (PDAC) xenografts growing in dorsal window chambers or intramuscularly in the hind leg of mice. Sunitinib selectively removed small-diameter vessels and increased blood flow velocity. The increased blood flow velocity was not sufficient to compensate for the loss of tumor vessels, and, consequently, sunitinib-treated PDAC xenografts showed increased fractions of hypoxic tissue. Ktrans derived by pharmacokinetic analysis of DCE-MRI data was sensitive to microvascular density and hypoxia in both untreated and sunitinib-treated PDAC xenografts.

2317
Computer 19
Correlation of Multiparametric MRI with extracellular pH mapping in a Rabbit Model for Liver Cancer
Dana C Peters1, Lynn J Savic1, Steffen Huber1, John J Walsh1, Isabel Schobert1, Lucas Adam1, Nina Tritz1, Fahmeed Hyder1, Mingde Lin1, James S Duncan1, Douglas Rothman1, Albert J Sinusas1, Julius Chapiro1, R. Todd Constable1, and Daniel Coman1

1Yale University, New London, CT, United States

Hepatocellular Carcinoma (HCC) was studied using multiparametric MRI in a rabbit liver tumor model, comparing native T1 and T2* mapping, ADC, and dynamic contrast enhanced parameters, with extracellular pH maps. Tumor heterogeneity was well characterized by parametric mapping. 

2318
Computer 20
Implementation of A Novel Deep Learning Network on Predicting Isocitrate Dehydrogenase (IDH) Mutation in Patients with Gliomas
Haonan Xiao1 and Zheng Chang2

1Medical Physics Program, Duke Kushan University, Kunshan, China, 2Radiation Oncology, Duke University Medical Center, Durham, NC, United States

The purpose of this study is to investigate the feasibility of the Inception-ResNet to reduce image pre-processing and improve the prediction accuracy of the IDH status of gliomas. The T1w-post contrast, T2, and FLAIR images of 91 glioma patients after intensity normalization are fed to the network as training and validation set, and another group of 12 patients is randomly selected as the test set. The prediction accuracies of two repeated experiments are consistent,  both greater than 90%. The result shows that with Inception-Resnet, IDH status could be predicted at a high accuracy with minimal image pre-processing.

2319
Computer 21
Interrogations of Human Lung Cancer Metabolomics Measured from Intact Tissue Magnetic Resonance Spectroscopy with Mass Spectrometry Imaging
Stephen J Eyles1, Mari Mino-Kenudson2, Igor A Kaltashov1, Richard W Vachet1, Yiying Zhang3, Kristen Sikora1, Cedric Bobst1, David C Christiani4, and Leo L Cheng5

1University of Massachusetts Amherst, Amherst, MA, United States, 2MGH/Harvard Medical School, Combridge, MA, United States, 3MGH/Harvard Medical School, Charlestown, MA, United States, 4Harvard School of Public Health, Boston, MA, United States, 5Radiology and Pathlogy, MGH/Harvard Medical School, Charlestown, MA, United States

Current radiology can detect small lung cancer (LuCa) lesions. However, their high costs coupled with their unproven efficacies as screening tools have prevented their use in annual screening protocols to detect LuCa at early and clinically asymptomatic stages. A simple and non-invasive screening technique, preferably a blood test, is needed to control the disease. Here we present results from mass spectrometry imaging that can produce localized “microscopic” maps of cancer metabolomic distributions revealed by high-resolution magic angle spinning magnetic resonance spectroscopy (HRMAS MRS), and can further assist establish blood serum LuCa biomarkers from analyses of human LuCa tissue-serum paired samples.

2320
Computer 22
Differentiating infiltrative tumor from vasogenic edema in glioblastom using oxygen-enhanced MR imaging
Junchao Qian1, Xian Zhang1, Xiang Yu1, Qi Chen1, Junjun Li1, Le Zhang1, Huajing Xie1, Mei Zhu1, Jun Yang1, and Hongzhi Wang1

1Hefei Cancer Hospital, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

Glioblastoma (GBM) induces both vasogenic edema and extensive tumor cells infiltration, both of which present with similar appearance and not be differentiated on conventional MRI. To distinguish between these infiltrative tumor and vasogenic edema components within the nonenhancing lesion area using novel techniques thus holds great clinical importance. Oxygen-enhanced MRI may directly reflect tissue oxygenation, has shown promising applications in the measurement of hypoxia or radiation-induced necrosis. Therefore, in this study we explored the possibility to differentiate vasogenic edema from infiltrative tumor in patients with GBM using oxygen-enhanced MRI. The results showed significant more negative ΔR1 levels (p < 0.05) were observed in the infiltrative tumor area compared to those in the vasogenic edema and tumor site. Oxygen-enhanced MR imaging has thus the potential to differentiate infiltrative tumor from vasogenic edema in glioblastoma.

2321
Computer 23
Lactate chemical exchange saturation transfer MRI as a biomarker for differentiating lactate dehydrogenase activity in 9L and F98 glioma
Puneet Bagga1, Mohammad Haris2,3, Hari Hariharan1, and Ravinder Reddy1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Research Branch, Sidra Medicine, Doha, Qatar, 3Laboratory Animal research Center, Qatar University, Doha, Qatar

Lactate chemical exchange saturation transfer (LATEST) MRI method has been shown to be applicable in detecting and imaging changes in the lactate level in human subjects post heavy exercise and to measure the lactate in a mouse model of lymphoma. In this study, LATEST was implemented to differentiate the lactate dehydrogenase (LDH) activity in vivo in two different preclinical glioma models. The two gliomas studied are widely used 9L (highly immunogenic, gliosarcoma) and F98 (weakly immunogenic, glioblastoma). The LATEST contrast was found to be higher in the tumor region of F98 rats compared to the 9L glioma carrying rats.

2322
Computer 24
PET/MRI as a sensitive diagnostic tool for peritoneal carcinomatosis: early results from a single center prospective study
Amy Law1,2, Naik Vietti Violi1,3, Stefanie Hectors1,2, Eliahu Y. Bekhor4, Somali Gavane5, Daniel Labow4, and Bachir Taouli1,2

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Radiology, Lausanne University Hospital, Lausanne, Switzerland, 4Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Department of Nuclear Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The goal of our study was to assess the diagnostic value of PET/MRI for diagnosis and spatial localization of peritoneal carcinomatosis (PC) in patients prior to potential cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC). We found that PET/MRI is sensitive and accurate at predicting PC at the patient level as compared to surgery, the reference standard. However, PET/MRI was not to as accurate in localizing PC in the abdominopelvic cavity. Findings need to be validated in a larger study.

2323
Computer 25
PET/MRI versus PET/CT in Oncology: A Prospective Single-center Study Focusing on Implications for Patient Management and Cost Considerations
Marius Erik Mayerhoefer1,2, Helmut Prosch3, Lucian Beer3, Dietmar Tamandl3, Thomas Beyer3, Ivo Rausch3, Dominik Berzaczy3, Markus Raderer3, Christoph Hoeller3, Matthias Preusser3, Ahmed Ba-Ssalamah3, Georgios Karanikas3, Julia Kesselbacher3, Gerald Prager3, Michael Weber3, Bernhard Brauner4, Markus Mitterhauser3, Harald Eidherr3, and Alexander Haug3

1Medical University of Vienna, Wien, Austria, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Medical University of Vienna, Vienna, Austria, 4Siemens Healthineers, Vienna, Austria

To prospectively investigate the clinical impact of PET/MRI, compared to PET/CT, in a mixed population of cancer patients, and to perform an economic evaluation of PET/MRI. 263 patients (330 same-day PET/CT and PET/MRI examinations) were analyzed. PET/MRI was accurate in 319/330 examinations, and PET/CT in 277/330 examinations; respective accuracies (97.3% vs. 83.9%) differed significantly (P<0.001). Additional findings on PET/MRI had implications for clinical management in 21/263 patients (8.0%). Incremental cost-effectiveness ratios for PET/MRI were 22.47 EUR (~26.28 USD) per percent of diagnostic accuracy, and 37.64 EUR (~44.06 USD) per percent of correctly managed patients.


Cancer Therapy Response Assessment

Exhibition Hall
Tuesday 8:15 - 9:15
 General Cancer Imaging

2324
Computer 26
Golden angle radial undersampling to accelerate synthetic CT generation with generative adversarial networks for prostate MR-guided Radiotherapy
Matteo Maspero1,2, Tom Bruijnen1,2, Mark H F Savenije1,2, Linda GW Kerkmeijer1, Peter R Seevinck2,3, and Cornelis A T van den Berg1,2

1Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, 3Image Science Institute, UMC Utrecht, Utrecht, Netherlands

Synthetic-computed tomography (sCT) is crucial to enable MR-only radiotherapy and accurate MR-based dose calculations. In this work, we assessed the feasibility of using undersampled golden angle radial acquisition in combination with a conditional adversarial network to accelerate both acquisition and sCT generation for patients with prostate cancer. Golden angle radial acquisitions were simulated for several undersampling factors in a retrospective manner on 3D Cartesian spoiled gradient-echo data that were clinically acquired on fourty patients with prostate cancer. Dose planning demonstrated that accurate MR-based dose calculations were possible up to an undersampling factor 30 resulting in fast (<20s) sCT generation, which is of particular interest for online MR-guided radiotherapy.

2325
Computer 27
Rapid 4D-MRI reconstruction using a Deep RAdial ConvoLutionAl neural network: Dracula
Joshua N. Freedman1,2, Oliver J. Gurney-Champion1, Hannah E. Bainbridge3, Jennifer P. Kieselmann1, Michael Dubec4, Henry C. Mandeville3, Simeon Nill1, Marc Kachelrieß5, Uwe Oelfke1, Martin O. Leach2, and Andreas Wetscherek1

1Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2CR UK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 4Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, United Kingdom, 5Medical Physics in Radiology, The German Cancer Research Center (DKFZ), Heidelberg, Germany

4D-MRI could inform online treatment plan adaptation on MRI guided radiotherapy systems, but long iterative reconstruction times (> 10 minutes) limit its use. A deep convolutional neural network was trained to learn the joint MoCo-HDTV algorithm and high-quality 4D-MRI (1.25x1.25x3.3 mm3, 16 respiratory phases) were reconstructed from gridded raw data in 27 seconds. Calculated 4D-MRI exhibited a high structural similarity index (0.97 ± 0.013) with the iteratively reconstructed test images and only a minor loss of fine details. Despite exclusively training the network on data from a diagnostic scanner, 4D-MRI were successfully reconstructed from raw data acquired on an MR-linac.

2326
Computer 28
A deep neural network based model for treatment response prediction using longitudinal diffusion MRI
Yu Gao1,2, Vahid Ghodrati1,2, Anusha Kalbasi3, Jie Fu2,3, Dan Ruan2,3, Minsong Cao2,3, Chenyang Wang3, Fritz C. Eilber4, Nicholas Bernthal5, Susan Bukata5, Sarah M. Dry6, Scott D. Nelson6, Mitchell Kamrava7, John Lewis2,3, Daniel A. Low2,3, Michael Steinberg3, Peng Hu1,2, and Yingli Yang2,3

1Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine IDP, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States, 4Division of Surgical Oncology, Department of Surgery, University of California, Los Angeles, Los Angeles, CA, United States, 5Department of Orthopaedic Surgery, University of California, Los Angeles, Los Angeles, CA, United States, 6Department of Pathology, University of California, Los Angeles, Los Angeles, CA, United States, 7Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States

A deep neural network based model was proposed to predict post-radiotherapy treatment effect score for localized soft tissue sarcoma patient using longitudinal diffusion MRI. Diffusion images were acquired three times throughout patient’s hypofractionated radiotherapy treatment. A convolutional neural network was constructed to learn the most useful spatial features from the tumor ADC maps at each time point, which is then fed into a recurrent neural network to exploit the temporal information between the extracted features. Excellent prediction performance of 97.4% accuracy on slice-based classification, and 95% accuracy on patient-based classification were achieved on independent test sets.

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Investigation of Abdominal Organ Respiratory Motion Probability Distribution Function and its Inter-Fractional Reproducibility Assessment Using Fast Volumetric 4D-MRI for Probability-Based Radiotherapy Planning
Yihang Zhou1, Jing Yuan1, Oi Lei Wong1, Kin Yin Cheung1, and Siu Ki Yu1

1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, China

Respiratory motion is a major concern in radiotherapy (RT) in liver cancer patients.  Probability-based treatment planning is an evolving approach for tumor motion management. A major hurdle of this approach is that the dosimetric error is tightly linked to the reproducibility of the tumor motion probability density function (PDF). Previous studies in lung used single-slice dynamic MRI for PDF reproducibility evaluation that could only captured the 2D respiratory motion restricted by the MRI acquisition speed. Moreover, inter-subject and inter-fractional variability of time evolved PDF might be underestimated by using just two fractions. In this study, we aim to investigate the inter-fractional and inter-subject abdominal motion PDF and its reproducibility using an ultrafast volumetric 4D- MRI.

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Respiratory motion characterization and motion uncertainty estimation using a fast 3D+t MRI and bootstrapping for abdominal radiotherapy
Oi Lei Wong1, Jing Yuan1, Yihang Zhou1, Siu Ki Yu1, and Kin Yin Cheung1

1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong

Respiratory motion characterization and uncertainty estimation is important in radiotherapy treatment planning, and is hindered by the imaging capability of 4DCT or time-resolved single/multi-slice MRI (2D+t). In this study, characterization of the positional and orientation uncertainty of abdominal organ respiratory motion, extracted from the time-resolved volumetric 3D+t MRI, was done using bootstrapping and tensor analysis.

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Baseline Tumor Apparent Diffusion Coefficient Value Can Predict First-line Sunitinib Therapy Response of Stage IV Clear Cell Renal Cell Carcinoma
Liqiang Cui1, Yichen Wang2, and Yan Chen2

1Surgery, Peking Union Medical College Hospitall, Chinese Academy of Medical Sciences, Beijing, China, 2National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Our single-center retrospective study focused on Stage IV Clear Cell Renal Cell Carcinoma patients who received first-line sunitinib therapy and found that baseline tumor apparent diffusion coefficient value derived from 3T diffusion weighted imaging showed different level in different response group. Baseline tumor ADC value also had significant correlation with progression-free survival. Patients with higher tumor ADC value had significantly longer progression-free survival. Basline tumor ADC can be a potential predictor in assessing targeted therapy response of Stage IV ccRCC.  

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Treatment response and recurrence prediction on MR during radiotherapy in patients with head and neck squamous cell carcinoma
Tim Schakel1, Boris Peltenburg1, Remco de Bree2, Chris H.J. Terhaard1, and Marielle E.P. Philippens1

1Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Head and Neck Surgical Oncology, University Medical Center Utrecht, Utrecht, Netherlands

Weekly MR imaging allows for tumor monitoring during treatment. T2 weighted imaging and distortion-free DW-TSE SPLICE were acquired weekly in 20 patients. Changes in volume and ADC could be followed over the course of (chemo)radiotherapy: volume decreases and ADC increases. Tumor delineation is crucial and becomes increasingly difficult during treatment. For the current patient population, 4 patients developed recurrent disease. However, volume changes measured on T2 weighted imaging and ADC changes did not yet show to be prognostic of tumor recurrence.

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Respiratory motion variability in 4D-MRI for MR-guided radiotherapy
Bjorn Stemkens1,2, Max van Riel1,3, Tom Bruijnen1, Jan JW Lagendijk1, Cornelis AT van den Berg1, and Rob HN Tijssen1

1Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2MR Code B.V., Zaltbommel, Netherlands, 3Biomedical Engineering, University of Technology Eindhoven, Eindhoven, Netherlands

Respiratory-induced motion of abdominal tumors can lead to displacements up to five centimeter, making radiotherapy treatments very challenging. The respiratory motion can be characterized by a 4D-MRI, acquired prior to treatment. In this study we investigate how long the 4D-MRI is valid for after acquisition. Additionally, the longitudinal validity of a motion model, derived from the 4D-MRI is assessed. 

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Radiomic analysis to determine glioma’s IDH1 gene status based on multi-MR sequences
Yi Liu1,2, Tong Han2, Xiaoling Yan3, Xuebin Zhang3, and Zhengting Cai4

1graduate school, Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China, 3Department of Pathology, Tianjin Huanhu Hospital, Tianjin, China, 4Innovation Department, Huiying Medical Technology Co., Ltd, Beijing, China

The purpose of this retrospective study was to demonstrate the feasibility of radiomic methods to determine glioma’s IDH1 gene status based on MR imaging. We used a training set (99 patients)with a test set (29 patients), and extracted 1029 radiomic features from each sequence of T2WI, ADC, FLAIR, T1WI-CE and the combined, then reduced by Least absolute shrinkage and selection operator. Five logistic regression classifiers were built based on training set, evaluated using test set and compared by DeLong test. The results indicated the radiomics of combined four sequences had the best performance in distinguishing IDH1 gene status.

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Reproducible radiomic features from post-chemoradiation T2-weighted MRIs can more accurately discriminate pathologic T stage in rectal cancer patients
Amrish Selvam1, Jacob Antunes1, Justin T Brady2, Joseph E Willis3, Rajmohan Paspulati4, Anant Madabhushi1, and Satish Viswanath1

1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Department of General Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States

We present initial results for identifying radiomic features to effectively characterize pathologic chemoradiation response in rectal cancers, by ensuring feature reproducibility within reference non-tumor regions on post-chemoradiation T2w MRIs. Our approach used a new feature reproducibility measure to prune radiomic features and thus minimize variability due to acquisition or imaging differences. Microscale gradient radiomic features were found to be most reproducible and discriminable in segregating rectal cancer patients by post-chemoradiation pathologic stage independent of disease metastasis, across both training (AUC=0.75) and hold-out validation (accuracy = 84.6%) cohorts.

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Directional-gradient based radiomic descriptors from pre-treatment perfusion DSC-MRI to differentiate long-term from short-term survivors in Glioblastoma: Preliminary findings
Bolin Song1, Ramon correa1, Prateek Prasanna1, Niha Beig1, Anant Madabhushi1, and Pallavi Tiwari1

1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

We explored the utility of radiomic analysis to identify radiomic features (computer extracted features from MRI) that distinguish long-term survival patients from their short-term survival counterparts based on the pre-treatment perfusion DSC-MRI. Initial results indicate that dynamically extracted radiomic features from enhancing tumor and infiltrative edges on perfusion scans can segregate the 2 survival groups. A non-invasive means of predicting survival based on perfusion imaging may help clinicians to determine prognosis, and inform treatment strategy.

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Early non-invasive prediction of response to Temozolomide in low-grade glioma
Marina Radoul1, Elavarasan Subramani1, Chloe Najac1, Georgios Batsios1, Anne Marie Gillespie1, and Sabrina Ronen1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

Newly diagnosed low-grade glioma (LGG) patients have a relatively long survival, but nonetheless ultimately recur. New therapies are therefore being considered for LGG. One approach is the use of Temozolomide, previously reserved for treating high grade glioblastoma. However, early indicators of response are still needed. Here, we investigated response to Temozolomide treatment in an orthotopic LGG mouse model. Using 1H MRS we detected an early decrease in total choline and a surprising increase in both glutamine and glutamine plus glutamate that were associated with ultimate tumor shrinkage. This identifies potential early metabolic biomarkers of response to Temozolomide treatment in LGG.

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4DMRI-based abdominal corset study for radiotherapy purposes
Kai Dolde1,2,3, Christian Dávid3,4, Gernot Echner1,2, Ralf Floca2,5, Clemens Hentschke2,5, Nina Niebuhr1,2,3, Kai Ohmstedt1,2,6, Nami Saito7, Merkur Alimusaj8, Beate Flügel8, and Asja Pfaffenberger1,2

1Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany, 3Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 4X-Ray Imaging and Computed Tomography, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany, 6Department of Medicine, Heidelberg University, Heidelberg, Germany, 7Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany, 8Center for Orthopedic and Trauma Surgery, Heidelberg University Hospital, Heidelberg, Germany

Abdominal organ motion provides challenges for radiotherapy treatments, leading to inhomogeneous dose distributions with over- and underdosage regions in the target volume. Repeated 4D-MRI acquisitions, allow to analyze inter- and intrafractional spatial motion. The aim of this study was to investigate the impact of abdominal corsets for motion reduction purposes, based on repeated 4D-MRI data sets. We found pronounced reductions in cranio-caudal and anterior-posterior direction using corsets, which additionally lead to more reproducible motion amplitudes. Lower amplitudes and better reproducibility are beneficial for radiotherapy and could lead to smaller irradiation margins and dose reductions to healthy tissue.

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Response monitoring by DCE-MRI in an experimental prostate tumor after single dose 12C-ion and photon radiotherapy
Alina Leandra Bendinger1,2, Lisa Seyler3, Maria Saager4,5, Charlotte Debus5,6,7, Peter Peschke4,5, Dorde Komljenovic1, Jürgen Debus5,7,8, Jörg Peter1, Ralf Omar Floca5,9, Christian Peter Karger4,5, and Christin Glowa4,5,7

1Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen, Erlangen, Germany, 4Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany, 6Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany, 7Department of Radiation Oncology and Radiotherapy, University Hospital Heidelberg, Heidelberg, Germany, 8Clinical Cooperation Unit Radiation Therapy, German Cancer Research Center (DKFZ), Heidelberg, Germany, 9Department of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany

A series of DCE-MRI measurements was used to quantify the vascular changes after therapeutic and subtherapeutic doses of photon and 12C-ion irradiation of the anaplastic rat prostate tumor Dunning R3327-AT1. DCE-MRI data were analyzed by pharmacokinetic modelling employing the Extended Tofts model. Independent of dose, 12C-ions led to stronger and earlier treatment response than photons within the observation period indicated by increased Ktrans and ve parameters. Results were correlated to histological analyses for microvascular density, vessel maturity, tumor hypoxia, and proliferation that further underlined the faster, stronger, and more homogeneous treatment response after 12C-ion irradiation.

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Change of Radiotherapy Planning Target Volume Delineated on Pre-Treatment and mid-RT Follow-up MRI After 3-4 Weeks of Treatment
Yang Zhang1, Liming Shi2, Xiaonan Sun2, Tianye Niu2, Ning Yue3, Jeon-Hor Chen1,4, Tiffany Kwong1,3, Min-Ying Lydia Su1, and Ke Nie3

1Department of Radiological Sciences, University of California, Irvine, CA, United States, 2Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Department of Radiation Oncology, Rutgers-The State University of New Jersey, New Brunswick, NJ, United States, 4Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan

As tumor shows substantial shrinkage over the course of treatment, should radiation treatment volume be adjusted? A quantitative method using “radial distance”- the distance from the outer boundary of the tumor to the center of the rectum, was developed to evaluate the gross tumor volume (GTV) delineated on MRI acquired before treatment and after 3-4 weeks of radiation. In 35 patients, the mean tumor volume decreased from 19.1 to 10.5 cm3 but the mean radial distance only decreased slightly from 16.3 to 15.6 mm. When the remaining tumor was close to the rectal wall, the PTV should not be adjusted.

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Quantifying Information Content of Multiparametric MRI Data for Automatic Tumor Segmentation using CNNs
Lars Bielak1,2, Nicole Wiedenmann2,3, Thomas Lottner1, Hatice Bunea2,3, Anca-Ligia Grosu2,3, and Michael Bock1,2

1Dept.of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany, 3Department of Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

Multimodality imaging with CT, PET, and MRI is the basis for precise tumor segmentation in radiation therapy. We analyze which MR imaging contrasts mainly improve the segmentation performance of a CNN by training multiple networks using different input channels. The predictive value of 7 different contrasts is compared for two tumor regions, gross tumor volume and lymph node metastasis, in head and neck tumor patients.

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Integration of DCE-MRI Texture Features with Clinical Data for Improved Early Prediction of Breast Cancer Therapy Response
Archana Machireddy1, Guillaume Thibault1, Alina Tudorica1, Aneela Afzal1, May Mishal1, Kathleen Kemmer1, Arpana Naik1, Megan Troxell1, Eric Goranson1, Karen Oh1, Nicole Roy1, Neda Jafarian1, Megan Holtorf1, Wei Huang1, and Xubo Song1

1Oregon Health and Science University, Portland, OR, United States

This study investigated the effect of integrating clinical data with DCE-MRI texture features in early prediction of breast cancer therapy response. DCE-MRI data collected from 55 breast cancer patients before and after the first cycle of neoadjuvant chemotherapy were subjected to pharmacokinetic analysis.  Texture features were extracted from voxel-based DCE-MRI parametric maps.  Predictive performances with imaging features alone and in combination with clinical features were assessed and compared. Addition of clinical features to image texture features increased predictive capability in discriminating pathologic complete response (pCR) vs. non-pCR compared to using imaging features alone.

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Comparison of DCE-MRI Parametric Map-Based Features for Early Prediction of Breast Cancer Therapy Response
Archana Machireddy1, Guillaume Thibault1, Alina Tudorica1, Aneela Afzal1, May Mishal1, Kathleen Kemmer1, Arpana Naik1, Megan Troxell1, Eric Goranson1, Karen Oh1, Nicole Roy1, Neda Jafarian1, Megan Holtorf1, Wei Huang1, and Xubo Song1

1Oregon Health and Science University, Portland, OR, United States

DCE-MRI data from 55 breast cancer patients collected before and after the first cycle of neoadjuvant chemotherapy were subjected to pharmacokinetic analysis.  Four texture features, GLCM, RLM, single- and multi-resolution fractals extracted from DCE-MRI parametric maps, were analyzed for early prediction of therapy response. Generally, the multi-resolution fractal features from individual maps or the concatenated features from all parametric maps showed better predictive performance. The results suggest that multi-resolution analysis, which decomposes the texture at various spatial-frequency scales, may more accurately capture changes in tumor vascular heterogeneity as measured by DCE-MRI, and thus provide better early prediction of therapy response.     

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SLICs Algorithm for Non-Invasive Response Evaluation in Osteosarcoma with Multiparametric MR Imaging
Amit Mehndiratta1, Esha Badiya Kayal1, Sneha Patil 1, Sameer Bakhshi2, Raju Sharma3, and Devasenathipathy Kandasamy3

1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Medical Oncology, IRCH, All India Institute of Medical Sciences, New Delhi, India, 3Radio Diagnosis, All India Institute of Medical Sciences, New Delhi, India

Osteosarcoma is a highly morbid bone-tumor with poor prognosis. Neoadjuvant-chemotherapy(NACT) is the current standard of care. The response of NACT is judged on Histopathology-examination(HPE) after surgical resection of tumor. However, a non-invasive and accurate methods for evaluation of treatment response during the course of therapy is highly desirable. In this research, a Simple-linear-iterative-clustering supervoxels(SLICs) algorithm based methodology using multiparametric MRI (T2,DWI and ADC) has been developed for identification of sub-parts of tumor (active-tumor, necrosis). The volume of active-tumor and necrosis were estimated using this novel approach in patients with OS, before NACT(baseline) and after 3 cycles of NACT(follow-up). The level of necrosis estimated using SLICs and measure with HPE showed a close match. SLICs based estimation of necrosis level is a non-invassive technique that can be useful in response evaluation of cancer imaging.

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Diffusion-weighted MRI for assessing longitudinal effect of radiation (photon beam) versus proton beam therapy on cranial bone marrow in children treated for brain tumors
Erika Pace1,2, Enrico Clarke3, Henry Mandeville3,4, Andrew Mackinnon2,5, and Nandita M deSouza1,2

1Cancer Research UK Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom, 2MRI Unit, The Royal Marsden Hospital NHS Foundation Trust, Sutton, United Kingdom, 3Dept. of Clinical Oncology, The Royal Marsden Hospital NHS Foundation Trust, Sutton, United Kingdom, 4Children's and Young Person's Unit and Haemato-oncology Unit, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 5Department of Neuroradiology, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, United Kingdom

Bone marrow ADC measurements were feasible from the clivus in children. Measurements were reproducible (95% confidence intervals -5.5% to +11%). Following radiation (photon) treatment or proton beam therapy, there was an early rise in ADC at 2 months consistent with bone marrow edema, followed by a fall. The level of early ADC increase (39% for radiation therapy, 42% for proton beam therapy) and pattern of change was similar in both treatment regimens.

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Extended texture analysis of unenhanced T1 and T2 sequences on whole body MRI for evaluation of response to chemotherapy in patients with multiple myeloma
Kaspar Ekert1, Christopher Kloth2, and Marius Horger1

1Diagnostic and Interventional Radiology, University Hospital Tubinga, Tubinga, Germany, 2Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany

Extended texture analysis of unenhanced T1 and T2 sequences on whole body MRI for evaluation of response to chemotherapy in patients with multiple myeloma. Patients in a pre-treatment and post-treatment setting using a standardized imaging protocol and a standardized hematological and clinical surveillance were included. 107 features, based on the pyradiomics library, were analyzed for the main medullary lesion in myeloma patients. Extracted texture features were able to discriminate between responders and non-responders at follow-up in particular when using T2-imaga data.

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Genomically and Radiographically Adjusted Dose (GRAD) Framework for Biologically Adaptive MR-guided Radiotherapy
Zachary R. L. Boyd1, William A. Hall2, Douglas E. Prah2, and Eric S. Paulson1,2,3

1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

Tumor burden, tumor proliferation, and tumor hypoxia, all of which vary in space and time, are evidence-based contributors of radiotherapy failure. In addition, it has been demonstrated that gene expression can influence radiosensitivity.  We demonstrate here the initial feasibility of a framework to incorporate genomic and radiographic information to derive patient-specific, voxelwise radiation dose prescription maps for use in a biologically adaptive MR-guided radiotherapy (BAMRgRT) strategy.

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MRI Independent Predictors of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Lijuan Wan1, Hongmei Zhang2, and Chongda Zhang2

1Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

In order to tapped the potential of pCR prediction on T2WI comprehensively, both quantitative and qualitative parameters were evaluated in patients with locally advanced rectal cancer. A development group were enrolled to assess these parameters and an external validation group to verify the diagnostic performance. Post-nCRT CATV (CATVpost) and the reduction rate of SIT (SITRR) were proved that were independently associated with pCR and can help for pCR prediction.

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The Evaluation of Signal Intensity Related Predictors on T2-weighted for Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Lijuan Wan1, Chongda Zhang2, and Hongmei Zhang2

1Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

In order to evaluate the value of tumor signal intensity related parameters on T2-weighted magnetic resonance imaging (MRI) for pathological complete response (pCR) prediction, the signal intensity of tumor(SIT) and the muscle(SIM) were both measured automatically, SIT was defined as an absolute T2W signal intensity of tumor, and SIM was used to correct SIT, resulting in the relative T2W signal intensity(SIT/M), the reduction rate of SIT and SIT/M were calculated.Post-nCRT SIT(SITpost), post-nCRT SIT/M(SIT/Mpost), SITRR and SIT/MRR were proved to be significantly different between pCR and non-pCR, and The diagnositic efficiency is better in non-mucinous adenocarcinoma than mucinous adenocarcinoma.

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Application of 3D_NerveVIEW to neurography of nasopharyngeal carcinoma patients in radiotherapy treatment planning
Biaoshui Liu1, Yimei Liu1, Wenchao Diao1, Along Chen1, Yingjie Mei2, Qinping Gu2, Queenie Chan3, Jianhua Wu1, Chengguang Lin1, and Ying Sun1

1Sun Yat-sen University Cancer Center, Guangzhou, Guangdong Province, China, 2Philips Healthcare, Guangzhou, Guangdong Province, China, 3Philips Healthcare, Hongkong, China

In radiotherapy, CT/MR images are used to delineate the region of targets and normal structures. In this study, 3D_NerveVIEW sequence was performed on a volunteer, and then the image of cranial nerve was rigidly registered and fused to CT image. In the fused image, the cranial nerve had better visualization than CT and T1w images, and the contour of nerve was easily identified. Which could improve the accuracy of nerve contour and reduce the radiotherapy-induced nerve palsy.


Cancer Perfusion, Diffusion & Relaxometry

Exhibition Hall
Tuesday 8:15 - 9:15
 General Cancer Imaging

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An analysis of post-processing steps for residue function dependent DSC-MRI biomarkers through their clinical impact on glioma diagnosis for both 1.5 and 3T
Laura C. Bell1 and C. Chad Quarles1

1Barrow Neurological Institute, Phoenix, AZ, United States

Several recent initiatives have focused on optimizing and standardizing DSC-MRI imaging protocols and post-processing steps. With the availability of public imaging databases that include clinical outcomes, various post-processing steps can be carefully assessed for their impact on the clinical outcomes. Here we evaluated post-processing steps for advanced perfusion biomarkers that relay on determining the residue function by examining the clinical impact of each step. In summary we determined that updating the current deconvolution steps is beneficial, and that normalization allows for tumor grading across clinical field strengths.  

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Bolus arrival time estimation for DCE-MRI signals without fast up-slope
Alina Leandra Bendinger1,2, Charlotte Debus3,4,5, Christin Glowa4,5,6, Christian Peter Karger4,6, Jörg Peter1, and Martin Storath7

1Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany, 3Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany, 5Department of Radiation Oncology and Radiotherapy, University Hospital Heidelberg, Heidelberg, Germany, 6Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 7Natural Sciences and Humanities, University of Applied Sciences Würzburg-Schweinfurt, Schweinfurt, Germany

Accuracy in pharmacokinetic modelling of DCE-MRI data can be impaired due to a delay between the contrast agent arrival in the tissue of interest and an artery further upstream. To correct the delay, bolus arrival times (BATs) are estimated from the concentration curves. However, the state-of-the-art method for estimating BATs may give unsatisfactory results if the curves do not exhibit a fast up-slope. We propose a spline-based method for BAT estimation for concentration curves without fast up-slopes which are often observed in small animal data. The proposed method gives accurate results on simulated and in vivo acquired rat data.


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IDH Genotypes Differentiation in Glioblastomas Using DWI and DSC-PWI in the Enhancing and Peri-Enhancing Region
Hua Zhang1, Dairong Cao1, Zhen Xing1, Dejun She1, Yu Lin1, Zhongshuai Zhang2, and Mengxiao Liu2

1Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China, 2Scientific Marketing, SIEMENS Healthcare, Diagnostic Imaging, Shanghai, China

The purpose of this study is to evaluate the contribution of DWI and DSC-PWI in the peri-enhancing region for discriminating glioblastomas IDH genotypes. Further, the diagnostic value of this two MR techniques were compared with those in the enhancing portion. Features of conventional MRI, rADCmin-t, rADCmin-p, rCBVmax-t and rCBVmax-p were compared between IDH-m and IDH-w glioblastomas. IDH-mutated glioblastomas tended to present in frontal lobes and younger patients. Both rCBVmax-t and rCBVmax-p show significant difference between two subgroups, while rADCmin-t and rADCmin-p do not. The results showed that the accuracy of rCBVmax-p is higher than that of rCBVmax-t in the diagnosis of IDH-m glioblastomas. rCBVmax-p may have a better diagnostic value than rCBVmax-t in predicting IDH glioblastomas genotypes.

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Evaluating the effectiveness of preload in mitigating the leakage effect of dynamic contrast susceptibility MRI
Xin Li1, Seymur Gahramanov2, Ramon F Barajas3, and Edward A Neuwelt4

1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Department of Neurosurgery, University of New Mexico, Albuquerque, NM, United States, 3Diagnostic Radiology, Oregon Health & Science University, Portland, OR, United States, 4Neurology, Oregon Health & Science University, Portland, OR, United States

Dynamic Susceptibility Contrast (DSC) Magnetic Resonance Imaging (MRI) with low molecular weight Gadolinium based contrast agent (GBCA) is often confounded by GBCA’s leakage into intersitium space. Thus,  pre-DSC injection of GBCA (preload) is often used to mitigate the underestimation of relative cerebral blood volume (rCBV) due to the leakage of GBCA. Here, we present results to demonstrate that preload is generally effective. However, small dose effect could still be expected in the process.

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Bayesian Pharmacokinetic Modeling of Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Validation and Application
Andreas Mittermeier1, Birgit Ertl-Wagner2, Jens Ricke1, Olaf Dietrich1, and Michael Ingrisch1

1Department of Radiology, LMU University of Munich, Munich, Germany, 2Div of Paediatric Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada

We implemented a tracer-kinetic model within a Bayesian framework which infers full posterior probability distributions for parameter estimates. We validate our Bayesian model using a digital reference object and compare it to a standard non-linear least squares approach. Furthermore, we use this approach to obtain pharmacokinetic parameter distributions during the course of a therapy for breast cancer DCE-MRI data, and we demonstrate how Bayesian posterior distributions can be utilized to assess treatment response.

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Investigating How to Optimally Combine Multimodal MRI Data to Better Identify Glioblastoma Infiltration.
Haitham Al-Mubarak1, Antoine Vallatos2, Joanna Birch3, Lindsay Gallagher1, Lesley Glmour4, Anthony Chalmers5, and William Holmes4

1Glasgow Experimental MRI Center, University of Glasgow, Glasgow, United Kingdom, 2Centre of Clinical Brain Science, Edinburgh, United Kingdom, 3Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom, 4University of Glasgow, Glasgow, United Kingdom, 5Glasgow university, Glasgow, United Kingdom

The infiltration of glioblastoma tumour cells into normal tissue presents a major obstacle to effective treatment, may then be responsible for tumour recurrence after surgery. Clinical MRI failed to detect the invasion of tumour cells. The purpose of this study is to investigate how the information contained in the individual MR images and multi-regression analysis can be used to probe of invasion, applying a mouse model of an infiltrative brain tumour.

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Accuracy and precision of DCE-MRI acquired with golden-angle radial k-space under-sampling
Andrew J Fagan1, Silvin P Knight2, Matthew Clemence3, and James F Meaney2

1Radiology, Mayo Clinic, Rochester, MN, United States, 2National Centre for Advanced Medical Imaging (CAMI), St James Hospital / Trinity College University of Dublin, Dublin, Ireland, 3Philips Healthcare, Surrey, United Kingdom

The effects of using a continuous golden-angle radial k-space sampling trajectory, with varying degrees of under-sampling and compressed sensing image reconstruction, on the accuracy and precision of pharmacokinetic modeling of DCE data, were quantitatively investigated.  DCE image temporal resolutions (Tres)  ranging from 1.85s to 0.09s (corresponding to radial sampling densities of 100% to 4.68%) produced absolute accuracy/precision errors in all Ktrans, ve and kep values of ≤ 2%/4% (for Tres =1.85s) to ≤ 12%/11% (for Tres =0.09s), respectively.  These results demonstrate that DCE image acquisition protocols can be designed which constrain pharmacokinetic parameter value errors within prescribed thresholds.

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Optimized tumor volumes by dynamic contrast enhanced MR imaging for assessing response to neoadjuvant chemotherapy in triple negative breast cancer
Benjamin Charles Musall1, Beatriz E Adrada2, Abeer H Abdelhafez2, Hagar S Mahmoud2, Ken-Pin Hwang1, Jong Bum Son1, Lumarie Santiago2, Gary J Whitman2, Huong Le-Petross2, Tanya W Moseley2, Rosalind P Candelaria2, Bora Lim3, Senthil Damodaran3, Jennifer K Litton3, Stacy L Moulder3, Wei T Yang2, Jingfei Ma1, Mark D Pagel4, and Gaiane M Rauch2

1Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 2Diagnostic Radiology, MD Anderson Cancer Center, Houston, TX, United States, 3Breast Medical Oncology, MD Anderson Cancer Center, Houston, TX, United States, 4Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States

We evaluated several methods of measuring tumor volumes on DCE MRI for assessment of treatment response in triple negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy (NAC), including functional tumor volume (FTV), enhanced tumor volume(ETV), and clinical tumor volume (CTV). We compared different parameters for measurement of functional tumor volume at baseline as well as its changes during therapy, and established optimal parameters for FTV measurements. We found that optimized FTV and ETV have potential to serve as an imaging biomarker for evaluation of NAC treatment response in TNBC patients

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Quantitative ADC measurement of breast cancer with ssEPI and reduced FOV diffusion weighted imaging techniques
Benjamin Charles Musall1, Beatriz E Adrada2, Abeer H Abdelhafez2, Hagar S Mahmoud2, Ken-Pin Hwang1, Jong Bum Son1, Lumarie Santiago2, Gary J Whitman2, Huong Le-Petross2, Tanya W Moseley2, Rosalind P Candelaria2, Thorunn Helgason3, Elizabeth E Ravenburg3, Jennifer K Litton3, Stacy L Moulder3, Wei T Yang2, Jingfei Ma1, Mark D Pagel4, and Gaiane M Rauch2

1Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 2Diagnostic Radiology, MD Anderson Cancer Center, Houston, TX, United States, 3Breast Medical Oncology, MD Anderson Cancer Center, Houston, TX, United States, 4Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States

The goal of this study was to assess differences in quantitative ADC of breast cancer between ssEPI and rFOV DWI techniques. The two techniques were used to acquire breast DWI images in 27 patients at three different time points during their neoadjuvant chemotherapy. Tumor ADC from the two techniques at baseline and mid-treatment scans show strong correlation and minimal bias. However, tumor ADC from the two techniques at pre-surgery correlated more moderately and showed a slight bias. The relative and absolute changes in ADC at mid-treatment or pre-surgery from baseline showed only moderately-strong non-parametric correlation between the two techniques.

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Non-gaussian IVIM-DWI for HPV-related oropharyngeal cancer patients who received marked dose de-escalation in chemo-radiotherapy: Intra-treatment imaging response evaluation
Ramesh Paudyal1, Nadeem Riaz2, Vaios Hatzoglou3, Nancy Lee2, and Amita Shukla-Dave1,3

1Medical Physcis, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

This study aims to evaluate treatment response in human papillomavirus-related (HPV+) oropharyngeal squamous cell carcinoma using pre- treatment (TX), intra- TX week 1, 2, 3, and post-TX week 4 quantitative imaging metrics derived from non-Gaussian IVIM DWI.  ADC and D showed a significant increase between pre- and post-TX week 4 in complete response (CR) group, who were treated with dose de-escalation to 30Gy chemo-radiation therapy.

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Readout-segmented vs. Single Shot Diffusion MRI for Radiation Therapy Planning in Head and Neck Tumor
Lars Bielak1,2, Nicole Wiedenmann2,3, Thomas Lottner1, Hatice Bunea2,3, Anca-Ligia Grosu2,3, and Michael Bock1,2

1Dept.of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany, 3Department of Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

Image distortion is a major limitation in radiation therapy (RT) planning, especially for diffusion weighed imaging in regions with strong B0-inhomogeneity. In this study we analyze the improvement of Readout-segmented-EPI over conventional single shot EPI in the geometrically challenging anatomical region of the neck. RS-EPI effectively increases geometric accuracy in head and neck tumor DWI and significantly reduces ghosting artifacts at the cost of a slightly prolonged acquisition time. Therefore it has proven a clear clinical benefit compared to standard SS-EPI.

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Combined diffusion and perfusion MRI in Glioblastoma predicts glial stem cells proliferation and aggressiveness
Tanguy Duval1, Jean-Albert Lotterie1,2, Anthony Lemarié3, Caroline Delmas3, Christine Toulas3, Elizabeth Moyal3, and Vincent Lubrano1,2

1UMR 1214 Toulouse Neuroimaging Center, INSERM, Toulouse, France, 2Department of Neurosurgery, University Hospital of Toulouse, Toulouse, France, 3U1037 Toulouse Cancer Research Center, INSERM, TOULOUSE, France

Interpretation of diffusion and perfusion MRI in the hyper-FLAIR is challenging. In this work, biopsies were extracted from 16 subjects and infiltrative tumorous stem cells were counted and cultivated intraoperatively to measure their aggressiveness. Diffusion was found to be a good predictor of the time to form tumorous neurospheres. Glioblastoma stem cells were found preferably in regions with strong perfusion, that is to say near vascular niches.

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Getting more from less: a morphological model of diffusion in the prostate for improving the predictive power of DWI in identifying tumors.
David Willis1, Donnie Cameron1, Paul Malcolm2, and Glyn Johnson1

1Norwich Medical School, University of East Anglia, Norwich, NR4 7UQ, UK, United Kingdom, 2Department of Radiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom

We constructed a morphological model of diffusion in the prostate from a limited number of diffusion-weighted images to increase the sensitivity of such diffusion imaging to the presence of prostate cancer. Estimating the measurement error (9.9%) and characterizing the prostate from a large public dataset (n=206) has shown morphological relationships (|r|>0.5) and provided distributions and relationships within the available ADC measures. A model can then be used to give expected values to test against, and enable much larger datasets to be synthesized with the aim of testing various machine learning approaches.

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Serial ADC measurements in the T2 hyperintense, but otherwise normal-appearing white matter of glioblastoma patients correlates with survival
Aaron Rulseh1, Jan Sroubek2, Jan Klener2, and Josef Vymazal1

1Department of Radiology, Na Homolce Hospital, Prague, Czech Republic, 2Department of Neurosurgery, Na Homolce Hospital, Prague, Czech Republic

Glioblastoma is the most common malignant primary intracranial tumor and, despite multi-modal treatment, the prognosis remains poor. Additional tools to improve early detection or evaluate treatment response are highly desirable. We evaluated serial ADC measurements in the T2-hyperintense, but otherwise normal-appearing white matter at 1.5 T in thirty-five subjects diagnosed with glioblastoma and treated by surgical resection, radiotherapy, temozolomide and tumor-treating fields. We found that serially increasing ADC in the T2-hyperintense, but otherwise normal-appearing white matter in glioblastoma patients is prognostically favorable, with significantly greater overall survival and progression-free survival in patients with increasing ADC.

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Characterising early stage cervical cancer using radiomic features derived from T2- and diffusion-weighted images: a potential prognostic tool in surgical management?
Ben Wormald1,2, Simon Doran1, James D'Arcy1, James Petts1, Thomas Ind3,4, and Nandita M deSouza1,2

1Cancer Research UK Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom, 2MRI Unit, The Royal Marsden Hospital NHS Foundation Trust, Sutton, United Kingdom, 3Gynaecology Unit, The Royal Marsden Hospital NHS Foundation Trust, London, United Kingdom, 4Gynaecology, St. Georges University Hospital, London, United Kingdom

Radiomic features were compared between cervical tumors below and above the volume threshold of eligibility for trachelectomy (< or >4 cm3) to determine their potential prognostic value. Textural feature differences between smaller and larger tumors were similar for both the T2-W and the ADC data. Homogeneity and Energy were increased and Entropy, Contrast and Cluster Prominence decreased in larger tumors. This may reflect the transition from a mixed morphology (tumor elements interspersed with normal glands and stroma) in smaller tumors to more homogenous sheets of malignant cells as tumors increase in size and de-differentiate.

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Cluster analysis of IVIM parameter maps reveals tumor subregions of different proliferative status
Oscar Jalnefjord1,2, Mikael Montelius1, Jonathan Arvidsson1,2, Eva Forssell-Aronsson1,2, Göran Starck1,2, and Maria Ljungberg1,2

1Department of Radiation Physics, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden

Tumors are often heterogeneous, which can be seen with various imaging techniques. Even so, analysis based on quantitative imaging is often restrained to average tumor parameter values. In this study we used cluster analysis to identify tumor subregions based on IVIM parameter maps. The tumor subregions showed strong agreement with proliferative status as derived from histological analysis.

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Longitudinal diffusion kurtosis MRI in an intracranial rat glioblastoma model
Clementine Lesbats1, Claire Kelly1, Gabriela Czanner2, and Harish Poptani1

1Centre for Preclinical Imaging, University of Liverpool, Liverpool, United Kingdom, 2Department of Applied Mathematics, Liverpool John Moores University, Liverpool, United Kingdom

Diffusion kurtosis MRI was used to evaluate the longitudinal changes in a tumor microstructure of a rat model of glioblastoma. F98 tumor cells were injected into six rat brains and imaged longitudinally 8, 11 and 14 days post-implantation. For DKI, an EPI-DTI sequence was used with 2 b-values (1000-2000 s/mm2) and 15 directions. Diffusional kurtosis parameters increased in the tumor compared to the contralateral healthy brain. No significant change with time in the tumor was observed for any diffusion or kurtosis parameters.


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Probing the combined effects of collagen concentration and cell density on MR diffusion and relaxivity using a model system
Hannah MacDonald1, David J Collins1, and Nandita M deSouza1

1Cancer Research UK Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom

Cell-encapsulating collagen-based models can be used to investigate the relative contributions of the intra and extracellular compartments to ADC, T1 and T2. ADC is mostly affected by cell density, while T2 is influenced primarily by the collagen density; a 120% reduction in T2 was seen when collagen density was increased seven-fold, but this reduction was only 80% in cell containing collagen gels. ADC was not altered by increasing collagen density, unless cell density was also increased.

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Diffusion Weighted Imaging at 7T for Differentiation by Grade and Cellularity of Murine Endogenous Pancreatic Ductal Adenocarcinoma
Irina Heid1, Geoffrey Topping2, Florian Englert1, Katja Steiger3, Ernst Rummeny1, Markus Schwaiger2, Franz Schilling2, and Rickmer Braren1

1Radiology, Technical University of Munich, Munich, Germany, 2Nuclear Medicine, Technical University of Munich, Munich, Germany, 3Institute of Pathology, Technical University of Munich, Munich, Germany

DWI of mice with endogenous PDAC tumours were acquired in a 7T MRI system without breath gating.

Inclusion of DWI with b-values above 800 s/mm2 in fits substantially improves the qualitative appearance and reduces variance of uniform region fit ADC.

Tumours were grouped (based on histology) by cellularity (amounts of neoplastic cells and stroma, and clustering) and separately by grade. ADC reliably distinguishes tumours of different cellularity (PDAClow 1.58±0.08; PDACmed 1.35±0.07; PDAChigh 1.17 ± 0.11; P<0.0001). Grades G2 and G3 were not distinguishable via ADC (1.43±0.15 vs. 1.43±0.16 10-3 mm2/s), however G4 had significantly lower ADC (1.16±0.10 10-3 mm2/s, P<0.0001).


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Detection of pre-metastatic niches in perfused mouse livers by diffusion-weighted imaging at ultra-high field
Rui Vasco Simões1, Sergio Caja-Galán1, Rafael Neto Henriques1, Bruno Costa-Silva1, and Noam Shemesh1

1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal

Cancer cells can induce phenotypic modifications at future sites of dissemination (pre-metastatic niches), which support tumor growth and metastasis. Here we evaluated whether diffusion-weighted imaging (DWI) could detect mouse liver pre-metastatic niches (LPM) ex vivo using ultrahigh magnetic field MRI. Our results show that mean diffusivity (MD) and mean kurtosis (MK) can depict microstructural changes associated with LPM formation, consistent with a more fibrotic and cellular microenvironment revealed by histologic analysis of the same samples. These results represent a solid step toward the development of a non-invasive imaging tool for pre-metastatic niche diagnosis.

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T1 relaxivity in the bone marrow to monitor response to therapy in acute myeloid leukemia xenografts
Ana L. Gomes1, Diana Passaro1, Dominique Bonnet1, and Bernard Siow2

1Haematopoietic Stem Cell Laboratory, The Francis Crick Institute, London, United Kingdom, 2In Vivo Imaging, The Francis Crick Institute, London, United Kingdom

Mouse models of cancer are extensively used to better understand the pathobiology of the disease, to test potential novel therapies, and for the development of diagnostic and prognostic imaging tools. Currently, diagnosis of acute myeloid leukemia (AML) is quite invasive. It is based predominantly on blast quantification in the blood and bone marrow (BM) analysis, and imaging is not part of the clinical follow-up of the patients. T1 relaxivity of the mouse BM has not been reported previously. . BM of mice injected with AML cells from patients present higher T1 relaxation values than normal BM, and it further increased after chemotherapy treatment. Although analysis of bigger cohorts of patients would be required, our data suggest a good potential for BM T1 monitoring as a non-invasive marker for AML resistance to therapy.

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Quantitative Imaging of Pharmacodynamics in a Phase 1 Clinical Study of the Vascular Disrupting Agent Crolibulin (EPC2407)
Andres M. Arias Lorza1, William L. Read2, Raoul Tibes3, Ronald L. Korn4, and Natarajan Raghunand1,5

1Department of Cancer Physiology, Moffitt Cancer Center, TAMPA, FL, United States, 2Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, United States, 3Perlmutter Cancer Center, NYU Langone Health, New York, NY, United States, 4Imaging Endpoints, LLC, Scottsdale, AZ, United States, 5Department of Oncologic Sciences, University of South Florida, Tampa, FL, United States

Diffusion and DCE-MRI were performed at baseline and 2-3 days following Crolibulin (EPC2407) treatment in a phase 1 clinical study of this vascular disrupting agent. ADCw, Ktrans, Ve, and Vp parameter maps were computed and co-registered across scan dates. Over 10 subjects there was an average of 44% decrease in mean tumor Ktrans 2-3 days after initiation of therapy relative to baseline Ktrans values. The decrease in whole-tumor Ktrans was significantly greater in subjects who received 24 mg/m2 drug relative to those who received 13 mg/m2 Crolibulin. Voxel-wise analysis of changes in ADCw, Ktrans, Ve, and Vp will be presented.

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Optimisation of luminal water imaging for classification of prostate cancer
Fiona Gong1, William Devine1, Francesco Giganti2, Edward Johnston1, David Atkinson1, and Shonit Punwani1

1Centre for Medical Imaging, University College London, London, United Kingdom, 2Department of Radiology, University College London Hospital NHS Foundation Trust, London, United Kingdom

Luminal Water Imaging (LWI) using a multi-echo T2 sequence with 64 echoes has been proposed for microstructural assessment of prostate cancer. We have previously demonstrated that LWI could be simplified and performed using 32 echoes. The purpose of this study was to investigate whether further reduction in echo train length is possible. Reducing echo train length reduces SAR and provides the opportunity to improve LWI resolution and/or volume coverage without exceeding maximum SAR requirements for imaging patients.

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The influence of different ROI delineation strategies for relaxation measurements in nasopharyngeal carcinoma using Synthetic MR imaging
Liangru Ke1, Tie-bao MENG1, Hui-ming LIU1, Long Qian2, Bing Wu2, Hui Li1, Yun He1, Hao-qiang HE1, and Chuan-miao XIE1

1Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 2GE Healthcare, MR Research China, Beijing, China

Recently, a novel quantification method named synthetic MRI have attracted more and more attention in the field of clinical research, such as neural disorders and tumor since the first study in 2008. However, this quantitative assessment of diseases based on relaxation times requires regions of interest (ROI), the delineation of which can impact the accuracy of estimated values. To evaluate how the distinct methods of ROI delineation would impact the relaxation value estimation, in current study, 30 patients with nasopharyngeal carcinoma (NPC) were acquired using synthetic MRI.

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Intravoxel Incoherent Motion Diffusion-weighted Imaging for Monitoring the Immune Response to Cyclophosphamide in C57BL/6 Mice with GL261 gliomas
Junjiao Hu1, Long Qian2, and Xiangran Cai1

1Medical image center, The First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research China, GE Healthcare, Beijing, China

It is known that the intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) has been widely applied to the detection and characterization of tumors. However, there were no studies to investigate the use of IVIM-DWI in the evaluation of anti-neoplastic agents induced immune response. In this work, to assess whether IVIM-DWI can predict the immune response to anti-neoplastic agents, six C57BL/6 mice with GL261 mouse gliomas were applied using Metronomic cyclophosphamide. Our results indicated that IVIM-DWI is sensitive to detect the Cyclophosphamide-induced Immune Response.


Cancer Detection & Monitoring

Exhibition Hall
Tuesday 8:15 - 9:15
 General Cancer Imaging

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Correlation of breast tumor grade and lymphovascular invasion with biomechanical properties: first results from a breast cancer trial
Sweta Sethi1,2, Daniel Fovargue3, Stefan Heinz Hoelzl3, Ayse Sila Dokumaci3, Emma Burnhope3, Jurgen Runge3, Sanjay Mistry1, Keshthra Satchithananda4, Arnie Purushotham2, and Ralph Sinkus3

1Guy's and St.Thomas' NHS Foundation Trust, London, United Kingdom, 2Division of Cancer Studies, King's College London, London, United Kingdom, 3Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 4King's College Hospital, London, United Kingdom

Magnetic Resonance Elastography (MRE) has been considered a promising novel imaging modality in the quantification of viscoelastic properties of breast tumours. The purpose of this study was to evaluate reproducibility and repeatability of a newly developed MRE breast system and investigate whether aberrant biomechanical properties correlate with tumour histopathology. MRE was conducted on 20 healthy volunteers and 15 breast cancer patients. Malignant lesions demonstrated an increase in viscoelasticity when compared to adipose or fibroglandular tissue. While lesions with lymphovascular invasion demonstrated a tendency towards more elevated viscoelasticity than those without lymphovascular invasion, histological grades clearly did not correlate with biomechanics.

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MRI-based radiomic to predict lipomatous soft tissue tumors malignancy
Benjamin Leporq1, Amine Bouhamama2, Fabrice Lame2, Catherine Bihane2, Michael Sdika1, Jean-Yves Blay3, Frank Pilleul2, and Olivier Beuf4

1CREATIS CNRS UMR 5220; Inserm U1206; INSA-Lyon; UCBL Lyon 1, Université de Lyon, Villeurbanne, France, 2Department of Radiology, Centre de lutte contre le cancer Léon Berard, Lyon, France, 3Department of Oncology, Centre de lutte contre le cancer Léon Berard, Lyon, France, 4CREATIS CNRS UMR 5220; Inserm U1206; INSA-Lyon; UCBL Lyon 1, Université de Lyon, Lyon, France

In this study a MRI-based radiomic method was developed to predict lipomatous soft tissue tumors malignancy. 81 subjects with lipomatous soft tissue tumors whose histology was known and with fat-suppressed T1w contrast enhanced MR images available were retrospectively enrolled to constitute a database. A linear support vector machine was used after learning base dimension reduction to develop the model. Results demonstrate that the evaluation of lipomatous tumor malignancy is feasible with good diagnosis performances using a routinely used MRI acquisition in clinical practice.

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Quality assurance of quantitative MRI for biomarker discovery in locally advanced cervical cancer
Petra J van Houdt1, Kari Tanderup2, Jesper F Kallehauge2, Remi A Nout3, Robert Hudej4, Supriya Chopra5, Jamema Swamidas5, Zdenko J van Kesteren6, Cornelis A.T. van den Berg7, Michaela Daniel8, Dietmar Georg8, Eirik Malinen9, Jean-Charles Côté10, Ives R Levesque11, and Uulke A van der Heide1

1Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands, 2Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark, 3Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands, 4Institute of Oncology Ljubljana, Ljubljana, Slovenia, 5Radiation Oncology, Tata Memorial Centre, Mumbai, India, 6Radiation Oncology, Amsterdam University Medical Center, Amsterdam, Netherlands, 7Radiatiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 8Radiotherapy, Medical University of Vienna, Vienna, Austria, 9Medical Physics, Oslo University Hospital, Oslo, Norway, 10Centre Hospitalier de l'Universite de Montreal, Montreal, QC, Canada, 11Medical Physics Unit, McGill University, Montreal, QC, Canada

Large multi-center studies are needed to realize the utilization of quantitative MRI (qMRI) as a biomarker for cervical cancer. In this study we created a framework for a multi-center imaging biomarker study, maximizing the consistency between quantitative results in the presence of a large variety of MRI systems. This way, large deviations in qMRI values can be detected and corrected before enrolment of patients in a study. Furthermore, these results can be used to determine the statistical power of the study.

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The value of 1.5T contrast-enhanced T1 SPACE sequence in the simulation and planning for Cyberknife stereotactic radiosurgery of brain metastases: patient positioning accuracy, lesion detectability, and target delineation reliability
Jing Yuan1, Oilei Wong1, Winky WK Fung2, Gladys G Lo3, Franky KF Cheng2, Yihang Zhou1, George Chiu2, Kin Yin Cheung1, and Siu Ki Yu1

1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, 2Department of radiotherapy, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, 3Department of Diagnostic and Interventional Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong

Stereotactic radiosurgery (SRS) is increasingly used for multiple brain metastases (BM) treatment and imposes critical requirements on the accuracy of BM detection, localization and definition in the treatment planning. SPACE sequence is valuable in BM detection for diagnosis, while its value in the BM SRS planning has rarely been explored. We prospectively and quantitatively assessed CE-T1-SPACE in the treatment simulation and planning of Cyberknife-guided BM SRS on a 1.5T MRI-simulator. The results showed that CE-T1-SPACE facilitated high patient positioning accuracy, superior BM detectability and reliable GTV delineation, showing great value in the treatment planning of BM SRS.

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Measuring eye deformation between planning and proton beam therapy position using MRI.
Myriam Jaarsma-Coes1, Megan Schuurmans2, Kilany Hassan2, Eleftheria Astreinidou3, Marina Marinkovic4, Femke Peters3, and Jan-Willem Beenakker1

1Radiology & Ophthalmology, Leiden University Medical Center, Leiden, Netherlands, 2Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Radiotherapy, Leiden University Medical Center, Leiden, Netherlands, 4Ophthalmology, Leiden University Medical Center, Leiden, Netherlands

MRI is becoming a new important imaging modality for ocular tumours. The acquisition of the MR-images for therapy planning are acquired in supine position, but proton beam radiotherapy is performed with the patient in sitting position. By performing scans in supine and in flexed position, we found that this change in gravity direction produces no substantial changes (<0.3mm) in eye and tumour shape. Our results indicate that supinely acquired MR images can be used to accurately plan proton beam radiotherapy of ocular tumours.

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Understanding the Biomechanical Signature of Pressurised Tumour on the Surrounding Tissue: a Modelling Study
Marco Fiorito1, Jack Lee1, Daniel Fovargue1, Adela Capilnasiu1, David Nordsletten1,2, and Ralph Sinkus1,3

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3U1148, INSERM, Paris, France

Solid tumour growth is often associated with the accumulation of mechanical stresses acting on the surrounding host tissue. These forces alter the biomechanics of the adjacent soft tissue, generating a variation in stiffness resulting in a signature pattern that can be probed through MR-Elastography. The probed stiffness, however, is strongly dependent on the direction of propagation of the employed shear waves, leading to the reconstruction of anisotropic mechanical properties of the peri-tumoural tissue. Here we present, using theoretical and experimental means, a closed theoretical understanding of the observed alteration of tangent stiffness of soft tissue generated by pressurised tumour expansion.

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Molecular MRI differentiation between thyroid papillary carcinoma and thyroid adenoma without cystic degeneration using endogenous protein-based Amide Proton Transfer  Signals
guomin li1, yingjie mei2, and jianhao yan1

1Department of Radiology, Guangdong Second Provincial General Hospital, guangzhou, China, 2Philips Healthcare,Guangzhou, China, guangzhou, China

To identify thyroid papillary carcinoma from thyroid adenoma, we acquired amide proton transfer(APT) value of the both by using the 3T MRI. The differences of APT value of the both were statistically compared by means of nonparametric methods and receiver operating characteristic (ROC) curve analyses were used. The results showed statistical differences among the two nodules, suggesting that APTw imaging can be considered for differentiation of thyroid carcinoma from benign thyroid carcinoma.

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Detailed MRI Report Findings Play Important Role in Establishing Predictive Machine Learning Models For Recurrence in Nasopharyngeal Carcinoma
Weijing Zhang1, Chunyan Cui1, Huali Ma1, Li Tian1, Annan Dong1, Zhiqiang Tian2, Xinlei Deng3, Xucheng Zhang3, Nian Lu1, Haojiang Li1, and Lizhi Liu1

1Sun Yat-sen University Cancer Center, Guangzhou, China, 2Xi’an Jiaotong University, Xi an, China, 3Sun Yat-sen University, Guangzhou, China

To compare different machine-learning approaches, develop the best predictive model for recurrence, and explore interactions between different types of data in non-metastatic nasopharyngeal carcinoma (NPC). Auto Machine Learning (AutoML) classifier plus the minimum redundancy and maximum correlation (mRMR) method achieved the best predictive accuracy to build prediction model for recurrence in NPC. The model incorporating databases including T/N stage data, clinical data, or detailed MRI report findings showed the best performance. Detailed MRI report findings have potential as useful biomarkers in predicting NPC recurrence, which may help develop more individualized multidisciplinary treatment and follow-up strategies.

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In vivo MR imaging of pelvic lymph nodes at ultra-high magnetic field (7T)
Tom Scheenen1,2, Bart Philips1, Rutger Stijns1, Ansje Fortuin1, Marloes Van Der Leest1, Mark Ladd3, Harald Quick2,4, Jelle Barentsz1, Stefan Rietsch2,4, Sacha Brunheim2,4, Stephan Orzada2, and Marnix Maas1

1Radiology and Nuclear Medicine, Radboud university medical center, Nijmegen, Netherlands, 2Erwin L Hahn Institute, Essen, Germany, 3German Cancer Research Center, Heidelberg, Germany, 4University Hospital Essen, Essen, Germany

The presence of metastases in pelvic lymph nodes marks the transition from local to systemic disease in many primary cancers in the lower abdomen. This crucial step in disease progression determines prognosis and the choice of treatment. Detection of metastatic lymph nodes is currently done with invasive diagnostic surgery, but could profit from USPIO-enhanced MRI. In this 7T study we present an in vivo anatomical baseline of number, size and location of visible lymph nodes in healthy volunteers, as well as the feasibility of using USPIO-enhanced MRI to detect suspicious lymph nodes in patients with prostate and rectal cancer.

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Detection and Risk-stratification of Prostate Cancer with MR Molecular Imaging using Extradomain-B Fibronectin as a Biomarker
Zheng-Rong Lu1, Amita M Vaidya1, Nadia Ayat1, Jing-Can Qin1, and Sarah Roelle1

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Early detection and differential diagnosis of high-risk prostate cancer is imperative, so as to enable risk-stratification and decision-making in disease management. This research shows that the ECM oncoprotein Extradomain-B Fibronectin (EDB-FN) is strongly associated with high-risk prostate tumors and with low-risk prostate tumors that evolve into high-risk tumors, highlighting the potential of EDB-FN as a promising diagnostic biomarker for prostate cancer imaging. In addition, we have developed EDB-FN-specific peptide targeted MRI contrast agents that facilitate accurate differential detection and risk-stratification of prostate cancers.

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The Effects of Ground Truth Variance on Radio-Pathomic Mapping in Prostate Cancer
Sean D McGarry1, John D Bukowy2, Kenneth A Iczkowski3, Wei Huang4, Tatjana Antic5, Gladell Paner5, Allison K Lowman2, Tucker Keuter6, Anjishnu Banerjee6, Alex Barrington2, Samuel Bobholz1, Petar Duvnjak2, Michael Griffin2, Mark Hohenwalter2, Kenneth Jacobsohn7, and Peter S LaViolette2

1Biophysics, Medical College of Wisconsin, Wauwatosa, WI, United States, 2Radiology, Medical College of Wisconsin, Wawautosa, WI, United States, 3Pathology, Medical College of Wisconsin, Wawautosa, WI, United States, 4Pathology, University of Wisconsin Madison, Madison, WI, United States, 5Pathology, University of Chicago, Chicago, IL, United States, 6Biostatistics, Medical College of Wisconsin, Wawautosa, WI, United States, 7Urological Surgery, Medical College of Wisconsin, Wawautosa, WI, United States

achine learning provides a framework for non-invasively extracting more information from a clinical prostate scan by leveraging aligned post-surgical tissue samples with in-vivo imaging to create predictive models of histological characteristics. Many of these algorithms rely on a pathological diagnosis as the ground truth for the classification or regression task. This study aims to investigate the effects of varying the ground truth label in generating voxel-wise radio-pathomic maps of epithelium and lumen density in prostate cancer.

2385
Computer 87
Feasibility of Magnetic Resonance Fingerprinting of Glioblastoma Multiforme
Joshua D Kaggie1, Fulvio Zaccagna1, Mary McLean2, Dimitri A Kessler1, Guido Buonincontri3, Rolf F Schulte4, Amy Frary1, Martin J Graves1, Ferdia A Gallagher1, and Tomasz Matys1

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cancer Research UK, Cambridge, United Kingdom, 3IMAGO7 Foundation, Pisa, Italy, 4GE Healthcare, Munich, Germany

Magnetic Resonance Imaging (MRI) research seeks to establish fast, sensitive, repeatable, and quantitative methods.  The reduction of MRI acquisition times is important for patients who have significant disease, such as glioblastoma multiforme (GBM), and therewith difficulties with lengthy scan sessions.  Magnetic Resonance Fingerprinting (MRF) is a method that can enable fast quantitative T1 and T2 mapping by exploiting transient signals caused by the variation of pseudorandom sequence parameters.  This work demonstrates the feasibility of MRF in three patients with GBM, showing two before and after gadolinium contrast.

2386
Computer 88
Zero TE based pseudo CT conversion: impact of different HU value assignment methods for bones in the Head.
Cristina Cozzini1, Mikael Bylund2, Sandeep Kaushik3, Joakim H Jonsson2, Josef A Lundman2, Mathias Engström4, Tufve Nyholm2, and Florian Wiesinger1

1GE Healthcare, Munich, Germany, 2Umeå University, Umeå, Sweden, 3GE Global Research, Bangalore, India, 4GE Healthcare, Stockholm, Sweden

Patient specific and accurate pseudo CT are needed for the adoption of MR-only in the radiation therapy workflow. Zero TE (ZTE) acquisition has proven to be very robust and reliable for bone segmentation, with the additional advantage of showing a reproducible inverse linear correlation with corresponding CT HU for ZTE intensity values in the bone range. Here we specifically investigate the impact on the dose accuracy of continuous versus single HU value assignment for bones and the strength of the Zero TE inverse linear correlation to CT values for accurate pseudo CT conversion.

2387
Computer 89
Statistical prediction of recurrence-free survival at 10 years in breast cancer patients
Isha Punn1, Renee Cattell1, Pauline Huang1, James Kang1, Thomas Ren1, Varsha Talanki1, Ashima Muttreja1, Sarah Dacosta1, Jules Cohen1, Haifang Li1, Lea Baer1, Cliff Bernstein1, Sean Clouston1, Roxanne Palermo1, and Timothy Duong1

1Stony Brook University, Stony Brook, NY, United States

This study examined whether axillary lymph-node size accurately predicts or improves prediction of 10-year recurrence-free survival. We found that for single-variable analysis, the top predictor of recurrence-free survival was pre-neoadjuvant chemotherapy (NAC) nodal volume (AUC=0.67), followed by pre-NAC tumor volume (AUC=0.66). In 4-variable analysis, the top set of predictors was pre-NAC nodal volume, human epidermal growth factor receptor 2 (HER2) positivity, pre-NAC tumor volume, and tumor volume difference between pre- and early-NAC time points (AUC=0.79). This is the first study of investigating prediction performance of recurrence-free survival using longitudinal volume change of axillary lymph-node volume in breast cancer patients.

2388
Computer 90
Gradient-entropy based radiomic features to predict molecular sub-types of pediatric Medulloblastoma on Gadolinium-enhanced T1w MRI
Sukanya Iyer1, Marwa Ismail1, Benita Tamrazi2, Ashley Margol3, Ramon Correa1, Prateek Prasanna1, Niha Beig1, Ruchika Verma1, Volodymyr Statsevyc4, Anant Madabhushi1, and Pallavi Tiwari1

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, Children's Hospital Los Angels, Los Angels, CA, United States, 3Hematology, Children's Hospital Los Angels, Los Angels, CA, United States, 4Diagnostic Radiology, Cleveland Clinic Foundation, Cleveland, OH, United States

Genomic Characterization of Medulloblastoma (MB) has recently identified 4 distinct molecular subgroups: Sonic Hedgehog (SHH), wingless (WNT), Group 3, and Group 4. These subgroups have shown different clinical behaviours and benefits to subgroup-specific treatments. We explored the feasibility of a new gradient-entropy radiomic feature, CoLlAGe, to distinguish molecular sub-types of MB on Gd-T1w MRI.  Our results using multi-class comparison via one way ANOVA and post-hoc comparison showed significant differences in CoLlAGe features obtained across molecular sub-types. Our feasibility results suggest that the CoLlAGe features in different tumor regions observed on routine Gd-T1w MRI may potentially serve as surrogate markers to non-invasively characterize molecular sub-types of pediatric MB.

2389
Computer 91
Characterization of the arrest and retention of iron-labeled breast cancer cells and the growth and progression of brain metastases in NSG mice
Natasha Knier1,2, Amanda M. Hamilton1, Ashley V. Makela1,2, and Paula J. Foster1,2

1Robarts Research Institute, London, ON, Canada, 2Medical Biophysics, The University of Western Ontario, London, ON, Canada

Patient-derived xenografts in NSG mice provide a novel and more clinically relevant model of studying breast cancer brain metastasis in comparison to traditional cell lines in nude mice. NSG and nude mice both received brain-seeking breast cancer cells and were imaged with MRI to assess cell arrest, retention, and growth. Images revealed significantly more brain metastases and overall whole-body tumour burden in NSG mice than nudes. These results provide characterization of the NSG mouse as a preclinical platform for PDX models and demonstrates the importance of imaging to establish this model for future advancements in drug development and personalized medicine.

2390
Computer 92
Stacked In-plane Histology for Quantitative Validation of Non-invasive Imaging Biomarkers: Application to an Infiltrative Brain Tumour Model
Haitham Al-Mubarak1, Antoine Vallatos2, Joanna Birch3, Lindsay Gallagher1, James Mullin4, Lesley Glmour4, John Foster5, Anthony Chalmers6, and William Holmes1

1Glasgow Experimental MRI Center, University of Glasgow, Glasgow, United Kingdom, 2Centre of Clinical Brain Science, Edinburgh, United Kingdom, 3Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom, 4University of Glasgow, Glasgow, United Kingdom, 5Department of Clinical Physics and Bioengineering, Greater Glasgow Health Board and University of Glasgow, Glasgow, United Kingdom, 6Institute of Cancer Sciences, Glasgow university, Glasgow, United Kingdom

Despite the advance in medical imaging, it is important to validate new imaging biomarkers for a particular disease against histopathology, which is considered the ground truth. Here we propose a methodology for the quantitative validation of MRI biomarkers by the co-registration of histological probability maps with MR images. Using a mouse model of infiltrative brain tumours, we show this approach is far more robust than those currently applied.

2391
Computer 93
Reductive microenvironment responsive gadolinium-based polymers as potential safe MRI contrast agents
Xueyang Xiao1, Shiwei Guo2, Kui Luo2, and Qiyong Gong2

1Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University, Chengdu, Sichuan, China, 2Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University, Chengdu,Sichuan, China

The abstract provided an alternative strategy to develop highly efficient and safe gadolinium-based MRI macromolecular contrast agents (Gd-mCAs) via conjugation of small molecular DOTA-Gd to a stimuli-responsive biodegradable and amphiphilic block DHPMA copolymer through a ROX-sensitive biocleavable disulfide bond. Also, its potential as efficient and safe MRI mCAs for cancer diagnosis have been investigated. 

2392
Computer 94
MR spectroscopy to assess decreased tumor choline as a marker of response to choline kinase inhibitors
Claire Louise Kelly1, Clementine Lesbats1, Sofya Osharovich 2, Arthur Taylor1, Violaine See3, Edward Jim Delikatny2, and Harish Poptani1

1Centre for Preclinical Imaging, University of Liverpool, Liverpool, United Kingdom, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Biochemistry, Centre for Cell Imaging, Liverpool, United Kingdom

Tumor volume and single voxel in vivo ¹H MRS were used to assess the effects of the choline kinase inhibitor JAS239 in the F98 rat glioblastoma (GBM) model. Five F344 rats were inoculated with GBM cells and subsequently treated for 5 consecutive days with 4 mg/kg JAS239 or saline. A reduction in total choline (tCho) in tumors treated with JAS239, along with tumor growth arrest was noted in comparison to saline treated rats. JAS239 preferentially inhibited choline metabolism in tumors as no changes were observed in tCho levels from the contralateral brain.  

2393
Computer 95
High-Throughput Automatic Tumor Detection and Segmentation in Small-Animal MR Imaging of Patient-Derived Tumor Xenografts
Sudipta Roy1 and Kooresh Shoghi1

1Washington University in St. Louis, Saint Louis, MO, United States

Computer aided tumor detection and segmentation of small animal MR images are prone to spurious lesion, false detection, under segmentation, over segmentation, incompatibles of huge number of images for small animal MR imaging. We propose computer aided method using the combination of fast C-means, morphology and single-phase level set to detect and segment tumor lesions from T2 weighted MR images. Proposed method gives over 90% accuracy when applied to homogeneous tumors.

2394
Computer 96
Blood oxygen level dependent MRI detects changes in hepatocellular carcinoma induced by sorafenib treatment
Keith Michel1, Nina Munoz2, Kiersten Maldonado1, James Bankson1, Jia Sun3, Aliya Qayyum4, and Rony Avritscher2

1Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 2Department of Interventional Radiology, UT MD Anderson Cancer Center, Houston, TX, United States, 3Department of Biostatistics, UT MD Anderson Cancer Center, Houston, TX, United States, 4Department of Diagnostic Radiology, UT MD Anderson Cancer Center, Houston, TX, United States

Imaging biomarkers are needed for assessing treatment response in hepatocellular carcinoma (HCC). We evaluated BOLD MRI with hyperoxic challenge in an orthotopic rodent model of HCC for animals treated with the widely used kinase inhibitor sorafenib. A reduction in ΔT2* in tumor and background liver was exhibited for rats treated with sorafenib relative to untreated controls, while no significant change was observed in skeletal muscle. These results demonstrate that BOLD MRI could be a useful tool for detecting treatment effects in HCC.

2395
Computer 97
TrueFISP MRI assay for fast & reliable tumor stage classification  in  carcinogen induced orthotopic  bladder cancer
Daniele Procissi1, Alexander P Glaser 2, Yanni Yu3, and Joshua J Meeks3

1Radiology & Biomedical Engineering, Northwestern University, Chicago, IL, United States, 2Surgery, Division of Urology, Northshore University Health System, Evanston, IL, United States, 3Urology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States

Using a TrueFISP sequence we implemented a non-invasive assay for stage classification of bladder tumors using  a orthotopic murine bladder cancer model.  Because generation of this tumor model is achieved by administration of carcinogenic agents it is naturally heterogeneous. The imaging method proposed allows accurate assessment of tumor burden and provides a tool for  randomization to experimental treatments.

2396
Computer 98
Spleen metabolism altered by human pancreatic cancer xenografts
Santosh Kumar Bharti1, Paul T Winnard1, Raj Kumar Sharma1, Yelena Mironchik1, Marie-France Penet1,2, and Zaver M. Bhujwalla1,2,3

1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 33Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

  Cachexia is a poorly understood metabolic syndrome characterized by cancer-induced tissue wasting and weight loss. Cachexia occurs with the highest frequency and severity in pancreatic ductal adenocarcinoma (PDAC). To further understand this syndrome, here we used 1H MRS to analyze spleen metabolites in normal mice and mice with and without cachexia-inducing PDAC. We detected profound spleen weight loss in cachectic mice. 1H MR spectra identified significant depletion of amino acids, cholines, creatine in cachectic mice that provide new insights into the syndrome that may present novel strategies to prevent or reduce cachexia-induced weight loss and the morbidity and mortality associated with the syndrome

2397
Computer 99
3D non-rigid motion correction for quantitative assessment of hepatic lesions with dynamic contrast enhanced MRI
Matteo Ippoliti1, Tobias Schaeffter2, Marcus Richard Makowski1, and Christoph Kolbitsch2

1Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany

Dynamic Contrast Enhanced (DCE) MRI of the liver is a powerful qualitative and quantitative clinical methodology used to identify lesions and characterize their functional behavior. Respiratory motion can lead to artefacts, impairing the calculation of contrast uptake curves and quantitative functional information. Here we present an approach, which provides non-rigid motion-corrected endothelial permeability (Ktrans) maps obtained from DCE images with temporal resolution of 6s and isotropic spatial resolution of 1.5mm3 acquired during free-breathing. The proposed framework was evaluated in 10 patients and led to an improved visualization of hepatic lesions and subsequent derivation of Ktrans maps.

2398
Computer 100
A novel imaging biomarker for cancer from multicomponent T1 relaxometry
Ana-Maria Oros1, Anna Weglage2, and N. Jon Shah2,3,4,5

1Institute of Neuroscience and Medicine, Research Centre Juelich, Juelich, Germany, 2Institute of Neuroscience and Medicine (INM-4), Research Centre Juelich, Juelich, Germany, 3JARA-BRAIN-Translational Medicine, Research Centre Juelich, Aachen, Germany, 4Institute of Neuroscience and Medicine (INM-11, JARA), Research Centre Juelich, Juelich, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany

We hypothesised that T1 relaxation curves sampled with very high temporal resolution reflect the existence of several environments in healthy and brain tumour tissue. Relaxation properties of healthy as well as tumour tissue, identified by FET-PET in a hybrid MR-PET environment, were investigated using a Look-Locker inversion recovery sequence sampled with a 17ms time resolution and 460 time points. The properties of normal appearing tissue were very similar in patients and healthy volunteers. In addition, a novel component was identified in brain tumour patients, which seems characteristic of the presence of tumour and oedema.


Optimizing Reconstruction

Exhibition Hall
Tuesday 8:15 - 9:15
 Acquisition, Reconstruction & Analysis

2399
Computer 101
Optimization of a 3-channel gradient waveform for FRONSAC encoding
E. H. Bhuiyan1, Nadine L. Dispenza1, R. Todd Constable1, and Gigi Galiana1

1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States

This work reports the performance of various gradient waveforms for Fast Rotary Nonlinear Spatial Acquisition (FRONSAC) encoding, varying the amplitude, frequency and phase of the oscillation on different channels. Waveforms using three NLG channels were used to image an American College of Radiology (ACR) phantom, and root-mean-square error (RMSE) relative to a fully sampled reference was used to evaluate performance. Experimentally observed trends support those reported in previous work, which was based on theory and simulations.  For the given hardware, the results suggest that the best combination for C3, S3 and Z2 are 64, 64 and 32 cycles per readout and 1.74×106mTm-3, 1.74×106mTm-3 and 3.05×106mTm-2 respectively.

2400
Computer 102
Feasibility Study of Improving SPIRiT by Exploiting Artificial Sparsity in Dynamic MRI
Jucheng Zhang1, Zhikang Wang1, Wenhong Ding2, Xia Kong3, and Zhifeng Chen4,5

12nd Affiliated Hospital, Zhejiang University, Hangzhou, China, 2Radiology, 2nd Affiliated Hospital, Zhejiang University, Hangzhou, China, 3School of Computer and Information Science, Hubei Engineering University, Xiaogan, China, 4School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 5Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China

Improving spatiotemporal resolution is of great importance for dynamic MRI in clinical circumstances. An improved SPIRiT method using artificial sparsity and PCA denoising is proposed in this work. Simulated cardiac perfusion phantom and in-vivo cardiac cine experiments were conducted. The proposed method showed better image quality compared with GRAPPA and the frame-by-frame SPIRiT method.

2401
Computer 103
PHASE OFFSET CORRECTION METHODS FOR 7T MRI
Shaeez Usman Abdulla1, David Reutens1, Steffen Bollmann1, and Viktor Vegh1

1Centre for advanced Imaging, University of Queensland, Australia, Brisbane, Australia

At the 7T MRI field, the absence of a volume reference coil results in inter channel phase offsets. It is therefore important to understand the impact of using different phase offset correction methods for producing combined phase images. We quantitatively analysed multi-channel offset corrected 7T GRE-MRI phase images of a phantom obtained using five established methods. Magnetic susceptibility images of a brain were assessed qualitatively in addition. We found that methods which phase offset correct using echo time dependent signal phases contain systematic errors, whereas single echo time methods produce more accurate results.

2402
Computer 104
System conditioning during GRAPPA kernel training improves temporal SNR in accelerated EPI-based functional, diffusion, and perfusion MRI applications
W Scott Hoge1,2,3 and Jonathan R Polimeni2,3,4

1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

This work examines methods to improve the conditioning of the linear system of equations used to compute GRAPPA and Dual-Polarity GRAPPA reconstruction coefficients, and it's effect on temporal SNR in applications that employ accelerated EPI data.  We test three methods: (i) system normalization, (ii) simple Tikhonov regularization, and (iii) 2D k-space filters applied to the calibration data prior to the linear system formation. Examples of tSNR improvement are shown, drawing from EPI-based in-vivo functional, diffusion, and perfusion imaging data acquired at 3T and 7T.

2403
Computer 105
Low-Latency Reconstruction for Real-Time Speech MRI
Sagar Sudhakara1, Yongwan Lim1, Weiyi Chen1, Shrikanth Narayanan1, and Krishna S. Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States

Real-time MRI provides the ability to visualize dynamic processes as they occur. This may require low latency, defined as the total time between when a pose occurs and when a digital representation appears on a screen for interpretation and/or use by the scan operator. We explore the tradeoff between image quality and latency for speech production imaging, where high-latency constrained reconstruction is the current state-of-the-art. We demonstrate that image quality adequate for a) confirmation of stimuli compliance and b) identification of subject motion can be provided to the scan operator with a latency less than 70ms.

2404
Computer 106
Simultaneous multislice reconstruction for spiral MRI using slice-SPIRiT
Changyu Sun1, Yang Yang2, Craig H. Meyer1, Xiaoying Cai1, Michael Salerno1,2,3, Daniel S. Weller1,4, and Frederick H. Epstein1,3

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Medicine, University of Virginia, Charlottesville, VA, United States, 3Radiology, University of Virginia, Charlottesville, VA, United States, 4Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States

Simultaneous multislice (SMS) imaging provides through-plane acceleration.  While current reconstruction methods for non-Cartesian imaging (and also for Cartesian imaging) utilize either in-plane or through-plane coil information, we reasoned that a slice-SPIRiT model could utilize both in-plane and through-plane kernel calibration information, and potentially outperform methods like conjugate-gradient SENSE (CG-SENSE).  We developed a slice-SPIRiT method and compared it to CG-SENSE for spiral cardiac cine imaging.  Slice leakage artifacts using slice-SPIRiT were 52.9% lower than using CG-SENSE in phantoms, and the artifact power of slice-SPIRiT was 24.2% less than CG-SENSE in five volunteers.   Slice-SPIRiT is a promising method for spiral SMS imaging.

2405
Computer 107
Self-Estimated Subspace Reconstruction for Highly-Accelerated Dynamic Golden-Angle Radial MRI
Li Feng1, Qiuting Wen2, Hersh Chandarana3, and Ricardo Otazo1,4

1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, United States, 3Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 4Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

Subspace-constrained reconstruction is a powerful technique to accelerate dynamic MRI. However, its performance is relatively limited for applications where a robust temporal model is not available. This work proposes to estimate temporal basis from undersampled dynamic golden-angle radial data without the need of a model or additional navigators, and to apply the estimated temporal basis for subspace-constrained reconstruction of undersampled dynamic images. The reconstruction algorithm also enforces an additional low-rank constraint on the resulting low dimensional dynamic images in the subspace. The proposed self-estimated subspace-constrained reconstruction technique was demonstrated for DCE-MRI of the prostate.

2406
Computer 108
Refined-subspaces for two iteration single shot T2-Shuffling using dictionary matching
Yamin Arefeen1, Nick Arango1, Siddharth Iyer1,2, Borjan Gagoski3,4, Kawin Setsompop2,4,5, Jacob White1, and Elfar Adalsteinsson1,5,6

1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, Cambridge, MA, United States

Half-Fourier-acquisition-single-shot-turbo-spin-echo (HASTE) serves as a valuable tool for fetal MRI as it is robust to fetal motion and produces images with T2-weighted contrast. However, due to T2-decay and T1-recovery during the acquisition, clinically applied HASTE with sub-180° refocusing pulses and partial-fourier readouts, often yield images with compromised diagnostic quality compared to multi-shot T2-weighted imaging. T2-shuffling exploits a forward model of signal evolution to mitigate blurring and improve contrast in image reconstruction. We propose single-shot imaging with a refined-subspace, iterative application of T2-shuffling, with demonstration in numerical models, that reduces blurring artifacts and improves image contrast in comparison to conventional HASTE.

2407
Computer 109
Improving the Performance of Accelerated Image Reconstruction in K-Space: The Importance of Kernel Shape
Rodrigo A. Lobos1 and Justin P. Haldar1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States

A variety of popular k-space reconstruction methods (e.g., GRAPPA, SPIRiT, SAKE, LORAKS) assume that missing k-space data can be interpolated by convolving the k-space data with appropriate filters.  In most of these methods, the kernel shape is usually chosen to be rectangular.  However, when these filters are interpreted in the spatial domain, the use of rectangular kernels implies that the filters will have anisotropic resolution.  In this work, we investigate the use of elliptical kernels that have more isotropic resolution.  Results demonstrate that elliptical kernels have better reconstruction performance, lower computational complexity, and lower memory usage than rectangular kernels. 

2408
Computer 110
Improved Parallel Imaging with a 3D Spiral Staircase Trajectory
Ashley G Anderson III1, Dinghui Wang2, and James G Pipe2

1Philips Healthcare, Gaineseville, FL, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States

A flexible 3D “Spiral Staircase” (SSC) trajectory is introduced that reduces g-factor losses from through-plane parallel imaging acceleration, regardless of coil geometry. Results demonstrate up to a 5x g-factor improvement over Cartesian SENSE for through-plane acceleration in axial brain acquisition with R = 3.

2409
Computer 111
Making Reconstruction WORK (Weighted Optimized Reconstruction of K-Space): Improving CNR/SNR via non-FFT Weighted Reconstruction
Vincent Jerome Schmithorst1 and Ashok Panigrahy1

1Radiology, UPMC Pittsburgh Children's Hospital, Pittsburgh, PA, United States

FFT-based reconstruction is suboptimal in the presence of signal decay during acquisition and between-excitation (shot-to-shot) variance in relaxation parameters.  We present a novel reconstruction algorithm, Weighted Optimized Reconstruction of K-space (WORK), which weights each k-space point differently, optimizing for all sources of variance.  Simulation results demonstrate the potential for 2X temporal SNR improvement in gradient-echo EPI acquisitions compared to standard FFT reconstruction while preserving spatial information.  Substantial SNR improvement is also demonstrated for a pCASL 2D GE-EPI-SMS acquisition.

2410
Computer 112
kz-GRAPPA for 3D parallel imaging with localized estimation of interpolation kernels
Steen Moeller1, Sudhir Ramanna1, Essa Yacoub1, Kamil Ugurbil1, and Mehmet Akcakaya1,2

1University of Minnesota, Minneapolis, MN, United States, 2Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States

A kz-dependent shift-variant 3D GRAPPA approach for reconstructing 2D under-sampled k-space is proposed. The method results in equal or lower g-factors compared to a conventional shift-invariant 3D kernel. In turn, this permits higher 2D ky-kz accelerations, and promises significant advantages for functional and diffusion imaging. The method is demonstrated with anatomical and diffusion imaging using thin slabs.

2411
Computer 113
Full 3D ky-kz-kx GRAPPA reconstruction of SMS MB EPI
Chan Hong Moon1, Hoby P. Hetherington 1, and Jullie W. Pan2

1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2Neurology, University of Pittsburgh, Pittsburgh, PA, United States

EPI with sub-second sampling rates is essential for fMRI to increase tSNR and filter out physiological noise. Simultaneous multiple slice (SMS)-EPI using multi-band (MB) slice excitation has been successfully applied to acquire whole brain fMRI data in < 1s. However, the reconstruction of SMS-EPI remains in separate 2D/1D GRAPPA or partial 3D GRAPPA in ky-kz’-kx domains. To further increase acquisition speed, TR< 500ms, higher k-space dimensional GRAPPA can be used to improve reconstruction performance, e.g. increase SNR and decrease aliasing artifacts. To meet this need we developed a full 3D ky-kz-kx GRAPPA reconstruction for SMS-EPI validated it by simulation and experiment at 7T.

2412
Computer 114
Reducing g-factor for TGRAPPA accelerated real-time cardiac cine imaging
Sen Jia1,2, Haifeng Wang1, Xin Liu1, Hairong Zheng1, and Dong Liang1,2

1Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China, 2Medical AI Research Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

TGRAPPA acceleration alleviates the intense tradeoff between spatial and temporal resolutions for real-time cardiac cine imaging. However, it suffers from significant noise amplification due to ill-conditioned inverse reconstruction at high acceleration factors. A quadruple extended TGRAPPA reconstruction model is established to jointly utilize the additional spatial encoding capability of background phase and the high-order noise model by nonlinear kernel method. Prospective real-time cine experiments showed superior noise suppression of this non-iterative technique at 6-8X acceleration.

2413
Computer 115
Virtual Slice Concept for Improved Simultaneous Multi-Slice MRI Employing an Extended Leakage Constraint
Suhyung Park1, Liyong Chen2, Alexander Beckett1, and David Feinberg1,2

1University of California, Berkeley, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States

Simultaneous multi-slice (SMS) MRI has recently drawn attentions in its use by acquiring linearly combined signals contributed from all excited slices. In this work, we introduce a novel, SMS reconstruction that extends an inter-slice leakage constraint to intra-slice aliasing with virtual slice concept by generalizing parallel MRI as a special case, thus directly estimating the individual slices from undersampled SMS data. Motivated by the leakage block, we generate virtual slices from intra-slice aliasing signals and then penalize these virtual slices as well as real slices simultaneously by keeping only aliasing-free slice of interest while enforcing inplane aliasing and neighboring slices to zeros, respectively.

2414
Computer 116
Enhanced MR-STAT by a multi-coil reconstruction framework
Oscar van der Heide1, Mike A. Eijbersen1, Cornelis A.T. van den Berg1, Peter R. Luijten1, and Alessandro Sbrizzi1

1Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands

MR-STAT is a framework for obtaining multi-parametric quantitative MR maps using data from single short scans. A large-scale optimization problem is solved in which spatial localisation of signal and estimation of tissue parameters are performed simultaneously by directly fitting a Bloch-based volumetric signal model to the time domain data. Previously, only data from a single receive channel could be incorporated into the reconstruction. In this work we extend the MR-STAT framework to allow parameter maps to be reconstructed from multi-coil data resulting in a more robust reconstruction process that has higher scan-efficiency and is less prone to coil shading artefacts.

2415
Computer 117
Correcting MRI-specific biases introduced when Bland-Altman plots are used to compare the performance of reconstruction algorithms
Michael Smith1, Ishani DasGupta1, and Elise Fear1

1University of Calgary, Calgary, AB, Canada

The Bland-Altman plot is a commonly-used graphical method to compare two measurement techniques and look for systematic biases or outliers.  We have identified that the Bland-Altman approach of plotting the differences between the two techniques against their average will introduce false biases in an MRI context.  These biases are introduced by the magnitude operation necessary to display or analyze MRI images. We demonstrate a modified Bland-Altman approach that corrects these biases.

2416
Computer 118
Acoustic Noise Reduction Using Digital Filters
JP Jordaan1, Andre Van der Kouwe1,2, Ali Alhamud1,3,4, and Ernesta M. Meintjes1,3

1Department of Human Biology, University of Cape Town, Cape Town, South Africa, 2Athinoula A. Martinos Centre for Biomedical Imaging, Massachusetts General Hospital, Massachusetts, MA, United States, 3Cape Universities Body Imaging Centre (CUBIC-UCT), University of Cape Town, Cape Town, South Africa, 4MRI Research Unit, University of Tripoli, Tripoli, Libyan

We explored the use of digital low-pass filters to reduce the acoustic noise produced during DTI acquisitions, focusing mainly on the EPI readout. The filters attenuate the high-frequency harmonics of the gradient waveforms which results in reduced spectral content of the mechanical vibrations induced in the gradient coil assembly. Results showed a reduction of 2.9 dBA for peak sound pressure level (SPL) and 2 dBA for equivalent continuous sound level (Leq) with no acquisition time penalty or reduction in image quality. The proposed method has the potential to be generalized to most gradient waveforms.

2417
Computer 119
Method for Reduction of Reconstruction Time for Compressed Sensing of Multi-Image Series
Andrew J Wheaton1, Samir D Sharma1, and Antonios Matakos1

1Canon Medical Research USA, Mayfield, OH, United States

This proof-of-concept study demonstrates a method to reduce CS reconstruction time for multi-image series (e.g.  relaxometry mapping, multi-echo, or dynamic) by leveraging the similarity of data across the image series.  The method consists of two components: a) re-using auto-calibrated coil sensitivity maps computed from data of the first image[0] and b) warm starting the iterative reconstruction of each image[i] using the final output from the reconstruction of the previous image[i-1] in the series.  One insight is a ‘hybrid warm start’ created by combining the magnitude from the previous image[i-1] reconstruction and the phase of the back-projection of the current image[i].

2418
Computer 120
Optimization of increasing signal-to-noise ratio (SNR) and contrast of black-blood T1-weighted images in carotid artery
Yuhki Hamada1, Daisuke Yoshimaru1, Ayumi Ueno1, Ayumu Funaki1, Chifumi Maruyama1, Tatsunori Sone1, and Masataka Sato1

1Department of Radiological Service, Tokyo Women’s Medical University Yachiyo Medical Center, YACHIYO, Japan

We have developed a new black-blood imaging with radial scan (multi vane) method and improved motion sensitized driven equilibrium (iMSDE). In this study, we changed the following parameters [refocusing flip angle (RFA), TE prep, flow velocity encoding (VENC)]. In addition, we measured SNR and Contrast ratio (CR) to optimize image quality. As RFA increased in radial scan with iMSDE, SNR of muscle rose gently and CR increased. With the extension of TE prep, SNR of muscle declined and CR also declined. As VENC decreased, CR rose gently. There was a significant difference compared with the conventional method.

2419
Computer 121
Rapid prOtotyping of 2D non-Cartesian K-space trajEcTories (ROCKET)
Pavan Poojar1, Sairam Geethanath1,2, Ashok Kumar Reddy3, and Ramesh Venkatesan3

1Dayananda Sagar Institution, Bangalore, India, 2Columbia Magnetic Resonance Research Centre, Columbia University, New York, NY, United States, 3Wipro GE Healthcare, Bangalore, India

Rapid prOtotyping of 2D non-CartesIan K-space trajEcTories (ROCKET) aims to aid researchers interested in rapid development and testing of new MR methods starting from pulse sequence design to image analysis. This was achieved by utilizing Pulseq for pulse sequence design and graphical programming interface for image reconstruction and analysis. ROCKET was demonstrated on two non-Cartesian k-space trajectories – FID based radial and spiral. Each trajectory was tailored into three different trajectories based on rotating angle – standard, golden angle and tiny golden angle.  All studies were performed on Siemens scanner demonstrated on in-vitro phantom and in-vivo healthy brain acquisitions and SNRs were computed.

2420
Computer 122
Dual-venc phase contrast MRI with increased flow encoding efficiency
Maria Aristova1, Alireza Vali1, Hassan Haji-Valizadeh1, Liliana Ma1, Suvai Gunasekaran1, Daniel Kim1, Michael Markl1, and Susanne Schnell1

1Radiology, Northwestern University, Chicago, IL, United States

To decrease scan time while maintaining SNR and velocity dynamic range of dual-venc 2D phase-contrast MRI with 3-directional velocity encoding, the sequence was modified to zero-fill the extremes of k-space in the high-venc (HV) acquisition while collecting fully sampled low-venc (LV). In vitro sensitivity analysis shows antialiasing success over 95% with up to 50% zero-filled HV scans. Preliminary data from a healthy control aorta indicate that antialiasing success approaching 100% can be maintained using HV scans. This promising approach may be extended to further improve flow encoding efficiency in volumetric scans.

2421
Computer 123
A Neural Network for Rapid Generation of Cardiac MR Fingerprinting Dictionaries with Arbitrary Heart Rhythms
Jesse Ian Hamilton1, Danielle Currey2, Mark Griswold1,3, and Nicole Seiberlich1,3

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Computer Science, Johns Hopkins University, Baltimore, MD, United States, 3Radiology, University Hospitals, Cleveland, OH, United States

Cardiac MR Fingerprinting with ECG gating typically requires that a new Bloch equation simulation be performed after each scan so that the subject’s cardiac rhythm is incorporated in the dictionary. However, this may be challenging for clinical translation and online reconstruction. This study proposes to use a neural network to rapidly generate the dictionary when given input ranges for T1 and T2, as well as the cardiac rhythm (RR intervals). The network produces dictionaries for arbitrary cardiac rhythms and is more than 100 times faster than performing a Bloch equation simulation. 

2422
Computer 124
THE IMPACT OF MR IMAGES ACQUISITION PROCESS ON RADIOMIC FEATURES: PHANTOM STUDIES TO SUPPORT CLINICAL RESEARCH
Linda Bianchini1,2, Francesca Botta3, Daniela Anna Origgi3, Marta Cremonesi3, Paolo Arosio1,2, and Alessandro Lascialfari1,2

1Physics Department, Università degli Studi di Milano, Milan, Italy, 2INSTM, Milan, Italy, 3IEO, European Institute of Oncology IRCCS, Milan, Italy

Radiomic analysis of radiological images allows the extraction of quantitative features that can represent a support tool for clinical decision. The investigation of these features stability during the MR image acquisition process represents the aim of this study. The features short- and long-term repeatability was tested on a common MR phantom, imaged with the clinical protocol for gynecological imaging. The non-repeatable features were identified and can be excluded a priori in potential clinical studies. Simultaneously, a dedicated phantom was designed to mimic the pelvis and to investigate the stable features, especially the ones characterizing the texture of the imaged tissue. 

2423
Computer 125
On the Selection of Slice Profile for Through-Plane Resolution in Multi-Slice MR Imaging
Eric G. Stinson1, Soudabeh Kargar2, Roger C. Grimm1, and Stephen J. Riederer1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Biomedical Engineering and Physiology, Mayo Clinic, Rochester, MN, United States

Multislice imaging is a mainstay of clinical MR exams, but image reformatting is limited by through-plane resolution. Some methods aim to overcome this by acquiring overlapping slices and deconvolving the slice profile. However, slice profiles which have zero crossings in the Fourier (spatial frequency) domain preclude the recovery of those spatial frequencies. Here, we describe the problem and provide a solution in the form of slice profiles without zero crossings in $$$k_Z$$$-space.


Image Reconstruction

Exhibition Hall
Tuesday 8:15 - 9:15
 Acquisition, Reconstruction & Analysis

2424
Computer 126
90 min in 12 min? Accurate Surface Reconstruction from Short Ultra-High (0.5mm iso) Resolution T1-Weighted Image
Giovana Cover1, Andre van der Kouwe2, and Reza Farivar1

1McGill Vision Research Unit, Research Institute - Montreal General Hospital, Montreal, QC, Canada, McGill, Montréal, QC, Canada, 2Massachusetts General Hospital, Charlestown, MA, United States

Gray matter (GM) thickness is a marker of injury and is detected using magnetic resonance imaging (MRI). Even though it possible to acquire images that has substantially higher resolution, they suffer from high noise, requiring multiple acquisitions and averaging to yield suitable quality. In this work, we aimed to improve the sensitivity of surface-based GM estimation from 0.5mm resolution MRI acquired over a clinically-normal time. We evaluated four denoising filters and compared the GM thickness estimates using surface reconstruction from the results, showing that it is possible to reduce MRI acquisition time and maintain relevant features for the GM thickness.

2425
Computer 127
Compressed Sensing Velocity Encoded Phase Contrast Imaging:  Monitoring Skeletal Muscle kinematics
Vadim Malis1, Usha Sinha2, and Sinha Shantanu3

1Physics, UC San Diego, San Diego, CA, United States, 2Physics, San Diego State University, San Diego, CA, United States, 3Radiology, UC San Diego, San Diego, CA, United States

Velocity Encoded Phase Contrast (VE-PC) imaging is an established technique for monitoring muscle kinematics.  Dynamic studies require consistent repeated execution of motion paradigms to map skeletal motion. The high number of repeated contractions limits studies to low % maximum voluntary contraction and limits participation of cohorts with compromised muscle function. We explore combining multi-coil data with compressed sensing and reconstruction to reduce acquisition times. VE-PC images acquired with different compressed sensing factors are assessed for accuracy of velocities and strain rate tensor during isometric contractions. Our results show that CS undersampling by 4 yields accurate velocity and strain tensor values. 

2426
Computer 128
A GPU-based Modified Conjugate Gradient Method for Accelerating Wave-CAIPI Reconstruction
Haifeng Wang1, Shi Su1, Xin Liu1, Yuchou Chang2, and Dong Liang1

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Computer Science and Technology Engineering, University of Houston-Downtown, Houston, TX, United States

Wave-CAIPI is a novel 3D imaging method with corkscrew trajectory in k-space to speed up MRI acquisition. However, the 3D data acquisitions of Wave-CAIPI are also tremendous for reconstruction calculations. In order to accelerate the reconstruction procedure, we realized a Wave-CAIPI reconstruction using a modified GPU-based conjugate gradient (CG) algorithm to reduce time cost of reconstructions. The experiments of in vivo human brain dataset show that using our GPU-based Wave-CAIPI reconstruction can achieve similar image results as the conventional CPU-based Wave-CAIPI reconstruction with less time cost than the conventional CPU-based Wave-CAIPI reconstruction.

2427
Computer 129
Spatial-Temporal Super-Resolution Technique on Complex-Valued T2*-Weighted Dynamic MRI
Duohua Sun1, Chidi Patrick Ugonna1, Marc Lindley1, and Nan-kuei Chen1

1Biomedical Engineering, University of Arizona, BIO5 institute, Tucson, AZ, United States

We present an approach for improving spatial and temporal resolution of complex-valued T2*-weighted dynamic MRI. Compared with traditional magnitude-valued spatial super-resolution method, our technique can better recover signal loss caused by the susceptibility dephasing effect. We propose that phase information can be utilized in spatial super-resolution to reduce the dephasing artifact. The feasibility of temporal super-resolution using complex-valued data is also separately evaluated for time-signal variation recovery. One limitation of our temporal super-resolution approach, which will be addressed in our future work, is the presence of leakage artifacts in the recovered time-signal due to linear interpolation bias.

2428
Computer 130
Robust 3D UTE T2* Mapping in MSK Using Fractional Order Bloch Equation
Dorottya Papp1, Gyula Kotek1, Stephan Breda1, Dirk H.J. Poot2, Edwin H.G. Oei1, and Juan Antonio Hernandez-Tamames1

1Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands, 2Medical informatics, Erasmus Medical Center, Rotterdam, Netherlands

Determination of the T2* relaxation times with biexponential and monoexponential models has limitations, especially in case of complex, heterogeneous materials1. Using fractional order fitting model we can overcome these limitations8,9. In this model the introduced  α parameter is the measure of the deviation from the monoexponential decay, and it accounts for micro-structural complexity. To evaluate the fractional order fitting, it was performed in patella tendon from UTE measurements, and we could demonstrate that compared to biexponential and monoexponential models it is less sensitive to variations to SNR. 

2429
Computer 131
Native Space Outlier Rejection (NaSOR) for Arterial Spin Labelling
Courtney Alexandra Bishop1, Mari Lambrechts2, James O'Callaghan2, Adam Connolly1, and Roger Gunn1

1Analysis, Invicro LLC, London, United Kingdom, 2MRI, Invicro LLC, London, United Kingdom

ASL suffers from relatively low signal-to-noise, so data cleaning strategies are required to optimise its utility. A previous method for outlier rejection of 2D-PASL data required time-consuming spatial normalization to standard space, degrading the original ASL data, and was limited to single inversion-time (TI) 2D-PASL. We therefore developed two native-space processing workflows, termed Native Space Outlier Rejection (NaSOR) and Native Space Perfusion-weighted Outlier Rejection (NaSPOR). The two native-space workflows performed comparably to an implementation of the previous standard-space method, in terms of both percentage of outliers rejected and coefficients of variation (CV) for test-retest CBF values, suggesting clinical utility.

2430
Computer 132
Verification and Validation of Merging Patient-Specific Computational Fluid Dynamics and 4D-Flow MRI
Alexandria M Miller1, Ali Bakhshinejad2, Mojtaba Fathi Firoozabad3, Ahmadreza Baghaei4, Raphael Sacho2, Kevin M Koch5, Christoff Roloff6, Philipp Berg6, and Roshan M D'Souza1

1Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 3University of Wisconsin-Milwaukee, Milwaukee, WI, United States, 4New York Institute of Technology, Long Island, NY, United States, 5Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 6Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany

In this work, we present the result of verification and validation of our previously developed method that enabled merging of patient-specific Computational Fluid Dynamics (CFD) and 4D-Flow MRI using Proper Orthogonal Decomposition (POD) to address limitations of both modalities. A constant fluid flow boundary condition was applied on a transparent in vitro aneurysm phantom geometry and the volumetric velocity field was scanned using 4D-Flow MRI, and tomographic Particle Image Velocimetry (tPIV). The latter has much higher spatial resolution and can be used to verify the accuracy of the results of merging CFD and volumetric 4D-Flow MRI. Results show that the POD-based merging algorithm enables reconstruction of fine flow details not seen in 4D-Flow MRI due to limited spatial resolution. 

2431
Computer 133
Single-lung dynamics assessed using XD-GRASP MRI and automatic segmentation
Artem Mikheev1, Nicole Wake1, Henry Rusinek1, and Hersh Chandarana1

1Department of Radiology, NYU School of Medicine, New York, NY, United States

MRI is an attractive modality for monitoring dynamic lung function since it does not expose patients to ionizing radiation.  In this study, a method to automatically segment the right and left lungs using XD-GRASP MRI was developed.  The accuracy of our segmentation algorithm was assessed by comparing the automated segmentation results to manual segmentations outlined by expert observers.  Excellent agreement was seen between the automated technique and the ground truth, suggesting clinical applicability of the method.

2432
Computer 134
Intra-Session, Intra-Day and Inter-Day Reproducibility of MRI Image Quality Metrics in a Controlled Scan Setup
Till Huelnhagen1,2,3, Ricardo Corredor-Jerez1,2,3, Michael Amann4,5,6, Emmanuelle Brès1, Pavel Falkovskiy1,2,3, Philippe Cattin5, Tobias Heye6, Oliver Bieri6, Till Sprenger7, Christoph Stippich6, Jens Wuerfel4,5, Ernst-Wilhelm Radue4, and Tobias Kober1,2,3

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 3Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Medical Image Analysis Center (MIAC), Basel, Switzerland, 5Department of Biomedical Engineering (DBE), University of Basel, Basel, Switzerland, 6Department of Radiology, University Hospital Basel, Basel, Switzerland, 7Department of Neurology, DKD Helios Klinik, Wiesbaden, Germany

Image quality plays a vital role in automated pipelines for medical image processing. Automated tools have thus been developed to detect low-quality images and ensure reliability of downstream results. These tools, however, often rely on image processing algorithms that can be sensitive to certain image features. In this study, we investigate the reproducibility of image quality measures provided by the open source image quality control tool MRIQC with respect to different scan setups. Results show that the reproducibility of some IQ measures is linked to the variation in the scan setup while for others it is less dependent on it.

2433
Computer 135
GPU Based Parallel Framework for the Estimation of Receiver Coil Sensitivities in SENSE Reconstruction
Afaq Ashfaq1, Muhammad Adil Khalil1, Hassan Shahzad2, Sohaib Ayyaz1, and Hammad Omer1

1Electrical Engineering, COMSATS University Islamabad, Islamabad, Pakistan, 2National Centre for Physics, Islamabad, Pakistan

The estimation of receiver coil sensitivity information is important for SENSE (Sensitivity Encoding) reconstruction. Inaccurate sensitivity profiles degrade the reconstructed image quality. However, the methods to estimate the receiver coils sensitivity information are computationally intensive. This work proposes a parallel framework (for GPU implementation) for a recently proposed method of sensitivity estimation (which uses Eigen value decomposition of the multi coil low resolution images). The results show that the proposed method provides a 3.5x speed in our experiments while maintaining the reconstructed image quality.

2434
Computer 136
A novel feature based image reconstruction for neuro-interventional MRI
Kang Yan1, Blanca Zufiria1,2, Alexa Singer1,2, Xudong Chen1, Zhiyu Yang1, Shuo Li1, Suhao Qiu1, Huajun She1, Bomin Sun3, Yiping Du1, Zhipei Liang4, and Yuan Feng1

1Biomedeical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2KTH Royal Institute of Technology, Stockholm, Sweden, 3Functional Neurosurgery, Shanghai Jiao Tong University, Shanghai, China, 4Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Interventional MRI (I-MRI) provides exceptional advantages to other imaging modalities in image-guided neurosurgery. However, real-time imaging presents great challenges for temporal/spatial resolution, image contrast, and SNR. We presented a novel feature based image reconstruction algorithm using golden-angle sampling and compressed sensing. Images were decomposed into the reference part and the novel feature reflecting the interventional process. Experiments of using porcine brain for biopsy showed the proposed method had better performance in terms of SNR and computational time. It demonstrated that the proposed method have potentials in applications of MR-guided intervention such as image-guided epilepsy treatment.

2435
Computer 137
Efficient Motion-Corrected, Model-Driven Reconstruction for Simultaneous Multi-Contrast MPnRAGE
Steven Kecskemeti1 and Andrew Alexander1

1University of Wisconsin, Madison, WI, United States

A model-based denoising algorithm is developed for efficient reconstruction of a large number of images with different T1 contrasts using MPnRAGE.   The method takes only 50% the time of a single iteration of traditional constrained reconstruction methods.  

2436
Computer 138
High performance GPU enabled GRAPPA reconstruction using CUDA
Omair Inam1, Hamza Akram1, Zoia Laraib1, Mahmood Qureshi1, and Hammad Omer1

1Electrical Engineering, COMSATS University Islamabad, Islamabad, Pakistan

GRAPPA is a parallel MRI technique that enables accelerated data acquisition using multi-channel receiver coils. However, processing a large data limits the performance of GRAPPA in terms of reconstruction time. This work presents a new GPU-enabled-GRAPPA reconstruction method using optimized CUDA kernels, where multiple threads simultaneously communicate and cooperate to perform: (i) parallel fittings of GRAPPA kernel on auto-calibration signals; (ii) parallel estimations of reconstruction coefficients; (iii) parallel interpolations in under-sampled k-space. In-vivo results of 8-channel, 1.5T human head dataset show that the proposed method speeds up the GRAPPA reconstruction time up to 15x without compromising the image quality.

2437
Computer 139
Self-Calibrated GRAPPA Operator Gridding (SC-GROG) for radially encoded Multi-Slice (SMS) Imaging
ZOONA JAVED1, IBTISAM ASLAM2, and HAMMAD OMER2

1ELECTRICAL ENGINEERING, COMSATS UNIVERSITY ISLAMABAD, ISLAMABAD, Pakistan, 2COMSATS UNIVERSITY ISLAMABAD, ISLAMABAD, Pakistan

This work proposes a novel approach using Self-calibrating GRAPPA operator gridding (SC-GROG) for radially encoded simultaneous multi-slice imaging (SMS). The proposed method is implemented by combining non-Cartesian (NC) under-sampling (radial) with CAIPRINHA phase manipulation to accelerate data acquisition in SMS. Radial datasets are gridded using SC-GROG and reconstructed iteratively using Projection onto convex sets (POCS) algorithm. The results are compared with conventional NUFFT with POCS at increasing accelerations factors and quantified in terms of SSIM, PSNR and Artifact Power. It can be inferred from the results that the proposed method produces accurate reconstructions of SMS datasets.

2438
Computer 140
Rapid Abdominal Imaging Using Highly Accelerated Projection Imaging (HAPI
L. Tugan Muftuler1,2, Nikolai J. Mickevicius3, Andrew S. Nencka2,4, and Eric S. Paulson3

1Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 2Center for Imaging Research, Medical College of Wisconsin, Milwaukee, WI, United States, 3Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

Our group recently reported a new fast radial imaging method called Highly Accelerated Projection Imaging (HAPI) with coil sensitivity encoding. We demonstrated that radial projections acquired at specific angles and at high resolution resulted in a well-conditioned matrix equation. In the previous work, the performance of HAPI was demonstrated with simulations and a simple phantom scan using an 8-channel receive array. In the study presented here, the HAPI method was tested in vivo with volunteers.

2439
Computer 141
Sparse-SENSE Reconstruction of GROG gridded Radial MRI
Khan Afsar1, Ibtisam Aslam1, and Hammad Omer1

1Electrical Engineering, COMSATS University Islamabad, Pakistan, Islamabad, Pakistan

Under-sampled non-Cartesian trajectories play a vital role in accelerating MRI scan time; however, the solution image may have aliasing artifacts. In this work, a GROG gridding based Sparse-SENSE reconstruction is presented to get the solution image from the non-Cartesian under-sampled radial MR data. The proposed method is tested on 1.5T human head data at different acceleration factors (i.e. 4, 6 and 9) and compared with pseudo-Cartesian GRAPPA scheme. The results show that the proposed method provides significant improvement (e.g. 87% improvement in AP at AF=4) in the reconstructed images as compared to conventional pseudo-Cartesian GRAPPA reconstruction.

2440
Computer 142
A novel reconstruction method using regional constraints, designed for the dual-band EPI scanned with four-channel receiver coil elements
Hiroshi Toyoda1, Sosuke Yoshinaga2, Mitsuhiro Takeda2, and Hiroaki Terasawa2

1National Institute of Information and Communications Technology, Suita, Japan, 2Department of Structural Bioimaging, Kumamoto University, Kumamoto, Japan

A novel reconstruction method was proposed for dual-band EPI in an MRI system equipped with four-channel receiver coils. This method was based on a conventional kernel method utilizing an iterative calculation with regional constraints in the image domain. The method significantly improves the quality of the reconstructed images, even in the regions with less coil sensitivity. The results showed higher signal-to-noise ratio, less signal leakage, and better long-term stability in repetitions in comparison to the conventional method. The proposed method can be applied to clinical systems that have relatively few receiver coils, as well as animal systems. 

2441
Computer 143
Rapid Parallel MRI with Convolution-based Reconstruction (CORE) and Deblurring by Compressed Sensing
Efrat Shimron1, Andrew G. Webb2, and Haim Azhari1

1Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel, 2Department of Radiology, Leiden University Medical Center (LUMC), Leiden, Netherlands

Methods combining Compressed Sensing (CS) and Parallel MRI (PI) for accelerated MRI have shown great promise, yet they are commonly hindered by heavy iterative computations. This work introduces the novel CORE-Deblur method for accelerated MRI, which integrates CS and PI and offers fast computations with very few iterations. CORE-Deblur utilizes the recently introduced CORE-PI technique and introduces the novel concept of using CS for image deblurring. Experiments with in-vivo data show that for highly subsampled k-space (R=5) CORE-Deblur reduces the number of CS iterations by 10-fold (from 95 to about 5-7) and improves the reconstruction accuracy by 5%-8%.

2442
Computer 144
Navigated Steady-State Free Precession with Water-Excitation for Real-Time Cardiac Imaging at 3 Tesla
Xi Peng1,2 and Sutton Brad1,3

1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, China, 3Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Real-time imaging offers the opportunity to be performed without the need for ECG synchronization and breath holding while requiring good contrast and high spatiotemporal resolution to resolve the myocardium dynamics. We propose a novel method employing bSSFP acquisition with partial separable model for high quality real-time cardiac imaging. For acquisition, the new method interleaves a self balanced spiral-in and spiral-out navigator with Cartesian acquisition for temporal basis estimation. A (1-1) binomial water excitation pulse is adopted to suppress lipid signal and achieve steady-state of the water.  For reconstruction, the new method exploits the partial separable model with "soft" SENSE and sparsity constraints. In vivo experiments have been conducted and results show that the proposed method is able to produce high quality dynamic cardiac images.

2443
Computer 145
A localized reconstruction method for parallel imaging in MRI
Seohee So1, Hyunseok Seo2, and HyunWook Park1

1School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2School of Medicine Stanford University, Palo Alto, CA, United States

Conventional parallel imaging methods reconstruct MR images from subsampled data, which utilizes spatial sensitivity information of multi-channel RF coil. In this study, localization of receiving coil sensitivity along readout direction (x) is introduced to efficiently utilize the coil sensitivity for parallel imaging. In the x-ky space, localization window is applied for estimation of missing data. Sensitivity localization in the readout direction makes near channels more weighted than distant channels for calculating estimation kernel. The proposed reconstruction method for parallel imaging considers the correlation between spatial sensitivities along the readout direction of receiving channels and region to be reconstructed.

2444
Computer 146
Robust Cardiac and Respiratory Self-Gating Using an Adapted Singular Spectrum Analysis (SSA-FARI): Application to Simultaneous-Multi-Slice Imaging
Sebastian Rosenzweig1,2, Nick Scholand1, H. Christian M. Holme1,2, and Martin Uecker1,2

1Institut für Diagnostische und Interventionelle Radiologie, University Medical Center Göttingen, Göttingen, Germany, 2Partner site Göttingen, German Centre for Cardiovascular Research (DZHK), Göttingen, Germany

In cardiac MRI we have to deal with both cardiac and respiratory motion. Nowadays, breath holds and the use of external devices such as ECG are clinical practice to deal with this motion. However, not all patients can hold their breath and external devices are error-prone. Therefore, self-gating techniques have been developed to extract the respiration and cardiac signal from the k-space data itself. Many of those require various pre- and post-processing steps like filtering or averaging and lack robustness. Here, we present a novel and robust, yet easy to implement self-gating approach based on Singular Spectrum Analysis.

2445
Computer 147
Joint Iterative Image Reconstruction and Field Map Estimation In Low Field MRI
Kirsten Koolstra1, Merel de Leeuw den Bouter2, Thomas O'Reilly1, Peter Börnert1,3, Rob Remis4, Martin van Gijzen2, and Andrew Webb1

1C.J. Gorter Center for High Field MRI, Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Institute of Applied Mathematics, Delft University of Technology, Delft, Netherlands, 3Philips Research Hamburg, Hamburg, Germany, 4Circuits and Systems, Delft University of Technology, Delft, Netherlands

Inaccuracies and temporal fluctuations in field map measurements form a major problem in image reconstruction for permanent magnet based low field MRI systems. These inaccuracies can potentially be corrected by using a joint image reconstruction and field map estimation algorithm. Simulation results show improved image quality when using a new updating scheme compared to standard iterative reconstructions.

2446
Computer 148
Nonlocal multispectral MRI upsampling for enhanced quality of high-resolution imaging reconstruction
Nikkita Khattar1, Richard G. Spencer1, and Mustapha Bouhrara1

1National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, United States

High-resolution (HR) image reconstruction, or upsampling, is used widely in MRI post-processing analyses including image segmentation and registration. The nonlocal means (NLM) upsampling approach is simple to implement and has demonstrated excellent performance for HR image reconstruction from low-resolution images. Here, we extend this to incorporate multispectral (MS) data sets in which multiple images are acquired over a variable acquisition parameter. Further, we show that the use of our recently introduced nonlocal estimation of multispectral magnitudes filter for upsampling further enhances the quality of the reconstructed HR images as compared with use of the NLM filter or its MS version.

2447
Computer 149
A ­Partial-Fourier Method Recovering Signal Loss from Off-resonance
Seul Lee1, Haisam Islam2, and Gary Glover3

1Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 2Department of Bioengineering, Stanford University, Stanford, CA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States

Functional MRI (fMRI) can have signal dropout due to off-resonance at susceptibility interfaces between air and tissue. Partial Fourier reconstruction is used for fMRI since it reduces scan time, however, existing partial Fourier reconstruction is vulnerable to off-resonance. In a previous study, we introduced a new partial Fourier reconstruction (even/odd (E/O)) and showed the new method was more robust to off-resonance compared to homodyne through simulation from fully sampled data. In this study, we acquired subsampled hypercapnia task fMRI data using both homodyne and E/O and showed there is less signal dropout and higher activation with E/O.

2448
Computer 150
A fully automated method for concealing patient identity in 3D multi-contrast brain MR images
Ke Gan1 and Weitian Chen1

1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China

In addition to personally identifying information (PII) commonly found in metadata of medical images, superficial anatomical features contained in 3D brain MR images pose a unique challenge to medical privacy, and this place a serious obstacle for data sharing in large-scale collaborative efforts. A fully automated method for concealing patient identity in 3D multi-contrast brain MR images is presented. The proposed method is training-free and can be applied to automatically conceal patient’s identity information in the 3D brain MR images, which makes this approach particularly useful for handling brain MR images in large neuroimaging databases.


Image Processing & Analysis

Exhibition Hall
Tuesday 8:15 - 9:15
 Acquisition, Reconstruction & Analysis

2449
Computer 151
Image fusion of multiple independent MRI brain slabs to cover a whole Dugong brain in a small-bore, high-field pre-clinical scanner
Simone Zanoni1, Kenneth WS Ashwell2, and Andre Bongers1

1Biological Resources Imaging Laboratory, The University of New South Wales, Sydney, Australia, 2Department of Anatomy, The University of New South Wales, Sydney, Australia

This study we report about MRI of a fixed Dugong brain in a small bore pre-clinical MRI scanner. To enable the scanning of the brain that exceeds the sensitive scanner dimensions we propose a multi-slab imaging approach that uses an optimized image post-processing pipeline to merge independent slabs into a continuous high-resolution high-contrast 3D volume. We demonstrate that using this imaging and post-processing approach it is feasible to investigate relatively large objects in a pre-clinical scanner and retain full 3D information with the full benefit from the superior high resolution imaging capabilities of a high field pre-clinical scanner.

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Integrated image-space and Fourier-space analyses for unwrapping phase images of low signal-to-noise ratio
Nan-kuei Chen1 and Pei-Hsin Wu2

1Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

We report a new post-processing procedure that integrates image-space and Fourier-space data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low signal-to-noise ratio (SNR).

Our data demonstrate that the new phase-unwrapping method outperforms the conventional procedures in critical brain regions (e.g., near the air-tissue interfaces), and should prove valuable for studies that require accurate measurements of MRI phase values, such as quantitative susceptibility mapping (QSM), B0 field mapping, and temperature mapping.


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Bayesian Hierarchical Modelling for Analyzing Neuroimaging Results
Christopher Hammill1, Benjamin C Darwin1, Darren Fernandes2, and Jason Lerch1,2

1Neuroscience and Mental Health, The Hospital For Sick Children, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada

The most common analysis of structural brain MRIs involves massively univariate modelling. Such analyses separately approach different levels of resolution (whole brain, regional, and voxel) and do not provide an easy solution to understanding whether some areas of the brain are more or less affected than others. Here we explore applying hierarchical bayesian modelling to simultaneously analyze brain MRI studies at multiple levels of resolution while allowing for the explicit interrogation of whether brain areas are differentially affected. In addition, we show that hierarchical modelling provides improved parameter recapture, sign error rate, and model fit.

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TemplateFlow: Standardizing standard 3D spaces in neuroimaging
Oscar Esteban1, Rastko Ciric1, Christopher J Markiewicz2, Yaroslav O Halchenko3, Mathias Goncalves4, Satrajit S Ghosh4, Russell A Poldrack1, and Krzysztof J Gorgolewski2

1Psychology, Stanford University, Stanford, CA, United States, 2Stanford University, Stanford, CA, United States, 3Dartmouth College, Hanover, NH, United States, 4Massachusetts Institute of Technology: MIT, Cambridge, MA, United States

New community templates are generated to improve the resolution of data, to offer better alignment of brain structures across individuals incorporated into the template, and to ensure a better correspondence between the study cohort and the template. The resource is modular, thereby allowing researchers to easily use templates "off-the-shelf" or add new templates to the repository. Spatial mappings are distributed with the templates to allow transferring brain landmarks, masks, surfaces, segmentations, and parcellations between templates.

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SEGUE Unwraps MRI Phase Images Acquired in Mouse Brains at 9.4 Tesla Faster than PRELUDE
Anita Karsa1, Rosie Goodburn2, and Karin Shmueli1

1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2The Royal Marsden NHS Foundation Trust, London, United Kingdom

MRI phase images are increasingly used for Susceptibility Mapping or distortion correction. Spatial phase unwrapping is crucial but challenging: the computation time of PRELUDE, the current gold-standard method for robust, 3D unwrapping, increases rapidly with higher field strengths and longer echo times. A new method we have developed, SEGUE, produces similar results to PRELUDE in multi-echo brain and head-and-neck images, 1.6 to 83 times faster, but SEGUE has not been tested in pre-clinical high-field-strength phase images. Here, we show that SEGUE is similarly accurate and up to 4 times faster than PRELUDE in mouse brain images at 9.4 Tesla.

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Automated perfusion lesion delineation in stroke: comparison with experts and alternative automated strategies
Dave Saraswat1,2, Jiun-Yiing Hu1,2, Ivana Galinovic1, Jochen Fiebach1, and Ahmed Khalil1,3,4

1Center for Stroke Research Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany, 2International Graduate Program Medical Neurosciences, Charité – Universitätsmedizin Berlin, Berlin, Germany, 3Berlin School of Mind & Brain, Humboldt Universität zu Berlin, Berlin, Germany, 4Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

This study aimed to validate an in-house script that detects perfusion lesions in dynamic susceptibility contrast magnetic resonance images of acute stroke patients and compare its performance with commercially available software. Perfusion lesions were estimated from time-to-maximum and mean transit time maps of 94 stroke patients using our algorithm, Perfscape/Neuroscape, PMA, and Stroketool. These automatically delineated lesions were volumetrically and spatially compared with those delineated by a trained expert. Our algorithm performs comparably to other programs on the market and overestimates lesion volumes to a lesser extent; however, it is currently limited by its reliance on manual input.

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Knowledge-based definition of morphological alterations in brain MRI through the angle-based thresholding approach
Yusuke Tomogane1, Jill Chotiyanonta 1, Can Ceritoglu2, Kumiko Oishi2, Michael I Miller2, Susumu Mori1, Kenichi Oishi1, and for the Pediatric Imaging, Neurocognition and Genetic study3

1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Center for Imaging Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3for the Pediatric Imaging, Neurocognition and Genetic study, multiple cities and states, CA, United States

An automated method to detect brain morphological alterations was developed, which was designed for clinical pediatric brain MRIs with heterogeneous clinical conditions. Numerous image-feature-recognition algorithms have successfully defined abnormalities related to specific diseases, but there has been little research into a method that could identify a wide-range of radiological findings that could vary depending on the type and severity of different pathologies. A proposed approach—structural image parcellation followed by an angle-based outlier detection (ABOD) algorithm—could identify mild morphological alterations with high sensitivity and excellent specificity, when applied to clinical pediatric brain MRIs.

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Scanner Variability of MR Based Radiomics Features
Peter Gibbs1, Eun Sook Ko1, Meredith Sadinski1, and Elizabeth Morris1

1Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

This work utilizes an MR phantom to determine the repeatability, quartile coefficient of dispersion and potential efficacy of textural parameters calculated from gray level co-occurrence matrices, run length matrices, size zone matrices and neighborhood gray tone difference matrices. Images were obtained at 3 different field strengths, across 3 different manufacturers. Parameters based on gray level co-occurrence matrices showed excellent repeatability and low dispersion, whilst still demonstrating excellent discrimination between contrasting regions of interest.


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Segmenting Brain Metastases Using Deep Learning on Multi-Modal MRI
Darvin Yi1, Endre Grøvik2,3, Michael Iv3, Elizabeth Tong3, Greg Zaharchuk3, and Daniel Rubin1

1Department of Biomedical Data Science, Stanford University, Stanford, CA, United States, 2Department for Diagnostic Physics, Oslo University Hospital, oslo, Norway, 3Department of Radiology, Stanford University, Stanford, CA, United States

Detecting and segmenting brain metastases is a tedious and time-consuming task for many radiologists, particularly with the growing use of multi-modal 3D imaging. Using deep learning to learn from the comprehensive pixel-wise labeled MRI-data, this work aims to train a fully convolution neural network for automatic detection and segmentation of brain metastases using multi-modal MRI. By training and testing on over 100 and 50 patients, respectively, including a variety of size and number of brain metastases from several primary cancers, this work provides a comprehensive investigation on the value and potential use of machine learning in a clinically relevant setting.

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Signal Enhancement and Optimum Receiver Arrays For Human Hyperpolarized 13C MR Spectroscopic Imaging
Hsin-Yu Chen1, Adam Autry1, Jeffrey R. Brender2, Shun Kishimoto2, Murali C. Krishna2, Maryam Vareth1,3, Robert A. Bok1, Galen D. Reed4, Albert P. Chen4, Lucas Carvajal1, Jeremy W. Gordon1, Mark van Criekinge1, David E. Korenchan1, Duan Xu1, Yan Li1, John Kurhanewicz1, Peder E.Z. Larson1, and Daniel B. Vigneron1

1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States, 3Berkeley Institute for Data Science, Berkeley, CA, United States, 4GE Healthcare, Chicago, IL, United States

A data-driven processing framework was proposed for dynamic hyperpolarized 13C-MR Spectroscopic Imaging to maximally extract diagnostic information from existing datasets and techniques that utilized whitened-SVD2 to optimally combine array data, and tensor-low-rank denoising3,4 to enhance SNR. The framework was applied and evaluated on brain, abdomen, and pelvic datasets acquired using multi-channel arrays or single-element receivers. Substantial improvement in quality of low-SNR lactate and alanine was observed with 30+ fold apparent SNR gain, whereas high-SNR pyruvate remained largely artifact-free. Correlation of high kPL with biopsy-confirmed cancer strongly indicated that this recovered important pathological information.

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Reduction of Gibbs artifacts with the Domain Decomposition Fourier Continuation Method
Ruonan Shi1, Jae-Hun Jung1,2, and Ferdinand Schweser3,4

1Department of Mathematics, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2Department of Data Science, Ajou University, Yeongtung-gu, Korea, Republic of, 3Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 4Center for Biomedical Imaging, Clinical and Translational Research Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States

Magnetic Resonance (MR) images are obtained from the measured k-space Fourier coefficients. Due to acquisition time limitations and noise typically only a limited part of the k-space is acquired, resulting in Gibbs ringing on the images. We propose an efficient and accurate local reconstruction method that removes the Gibbs ringing and yields sharp image profiles near local edges. 


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Association of geometric features with genetic markers in glioblastoma multiforme
Adam Hasse1, Mark Dapash2, Yong Jeong3, Star Su4, Abrianna Cummings4, Sameer Ansari5, Daniel Ginat6, and Timothy J Carroll6

1Graduate Program in Medical Physics, University of Chicago, Chicago, IL, United States, 2Pritzker School of Medicine, University of Chicago, Chicago, IL, United States, 3Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States, 4MedIx REU Program, Depaul University, Chicago, IL, United States, 5Department of Radiology, Northwestern University, Chicago, IL, United States, 6Department of Radiology, University of Chicago, Chicago, IL, United States

A data analysis pipeline was developed to study relationships between geometric imaging features and the underlying tumor phenotype. This pipeline was run on the tumors of 203 patients clinically diagnosed with glioblastoma multiforme. For each tumor, the tumor bulk and percent non-enhancing volume was calculated, along with the surface regularity of any tumor with a 3D T1-weighted post-contrast MR scan. These features were compared to the expression of P53 and Ki67 sampled from these tumors. Although there were significant differences between multiple features for both genes, only the surface regularity was a significant predictor of Ki-67 proliferative index.

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Spherical harmonics coefficients estimation using deep neural network
Zhangxuan Hu1, Zhe Zhang2, Yuhui Xiong1, Chun Yuan1,3, and Hua Guo1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 3Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, United States

Diffusion-weighted imaging can be used to detect orientations of fibers to study human brain connectivity using tractography techniques. Spherical deconvolution based techniques have been widely used for the estimation of fiber orientation distribution (FOD), in which FODs are represented using spherical harmonics coefficients. However, high quality FOD estimation still requires large number of measurements. In this study, a deep neural network based method is proposed to estimate high quality FODs using highly q-space undersampled measurements thus to improve the acquisition efficiency.

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A Simple Fully Automated Method for Skull-Stripping Quality Control in Brain MR Image Processing Pipelines Evaluated Using Multicenter Data
Till Huelnhagen1,2,3, Ricardo Corredor-Jerez1,2,3, Claudia Bigoni1, Veronica Ravano1, Mário João Fartaria1,2,3, Adrian Tsang4, Rodrigo D. Perea4, Sara Makaretz4, Maria Laura Blefari4, Yuchuan Zhuang4, Bénédicte Maréchal1,2,3, Elizabeth Fisher4, and Tobias Kober1,2,3

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 3Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Biogen, Cambridge, MA, United States

Automated brain segmentation approaches are increasingly being used for decision support in routine clinical settings. While segmentation may be considered a “solved problem” in research, it is still challenging to assure reliable performance of automated tools in clinical settings, which is a crucial requirement for diagnostic tools. To ensure correct results, automated quality control procedures are of vital importance, but they are often difficult to implement or time-consuming to run. We propose a simple and fast fully automated method to detect segmentation errors, and we evaluate its performance to detect skull-stripping-errors using results of two different brain segmentation algorithms on a large multicenter dataset. Results show that the method is able to detect skull-stripping-errors with high specificity.

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A brain extraction algorithm for infant T2-weighted images based on the fuzzy c-means thresholding
Inyoung Bae1, Dongchan Kim2, Jun-Young Chung1, and Yeji Han1

1Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, Korea, Republic of, 2College of Health Science, Gachon University, Incheon, Korea, Republic of

Brain extraction is an important step in image processing for research and diagnostic assessments using brain MR images. In this work, we proposed a brain extraction algorithm optimized for both 2D and 3D infant T2-weighted images based on the fuzzy c-means thresholding and spatial information of the neighboring slices. Quantitative analysis using the dice ratio was performed to compare the results of brain extraction using the proposed method, BET, iBEAT, and the manual segmentation.

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A 3D Fully Convolutional Network with various input dimension for brain extraction in MRI
Xibo Zhang1, Zhe Liu2, Pascal Spincemaille2, and Yi Wang2

1Tsinghua University, Beijing, China, 2Cornell University, New York, NY, United States

A 3D Fully Convolutional Network is proposed using cascade architecture and combining two different channels to overcome the low accuracy of traditional methods. The network is applied to do the brain extraction.

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Are Root Mean Squared Error (RMSE) and Structural Similarity Index (SSIM) the Most Appropriate Metrics for Assessment of MR Image Quality?
Allister Mason1,2, James Rioux1,2,3, Sharon Clarke2,3, Andreu Costa3, Matthias Schmidt3, Valerie Keough3, Thien Huynh3, and Steven Beyea1,2,3

1Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 2Biomedical Translational Imaging Centre (BIOTIC), Nova Scotia Health Authority, Halifax, NS, Canada, 3Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada

Quantifying MR image quality is important for the evaluation of new image acquisition and reconstruction techniques. Automated objective image quality metrics (IQMs) such as root mean squared error (RMSE) and the structural similarity index (SSIM) are commonly used surrogates for radiologists’ perception of image quality, which can be considered the gold standard. By calculating the correlation between radiologists’ subjective grading and various IQM scores on degraded MR images, we demonstrate that RMSE and SSIM do not correlate as well as other IQMs and are potentially  not the most appropriate metrics for assessment of MR image quality.

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Signal intensity form of Tofts model for quantitative analysis of dynamic contrast enhanced MRI data
Xiaobing Fan1, Aritrick Chatterjee1, Aytekin Oto1, and Gregory S. Karczmar1

1Radiology, University of Chicago, Chicago, IL, United States

The Tofts pharmacokinetic model requires contrast agent concentration as function of time (C(t)), which is normally calculated using the non-linear model that could contribute some errors. Here, we present signal intensity (S(t)) form of standard Tofts pharmacokinetic model without calculating C(t). Human prostate DCE-MRI data were analyzed to compare physiological parameters calculated from the Tofts model using S(t) and C(t). The Ktrans and ve calculated from S(t) were correlated strongly with the values calculated from C(t). Bland–Altman analysis showed moderate to good agreement between for the Ktrans and ve calculated from Tofts model with S(t) and C(t).

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Test-retest reliability of resting-state brain small-world network properties across different data processing and modeling strategies
Qianying Wu1, Ya Chai2, Hui Lei2, Fan Yang2, Jieqiong Wang2, Xue Zhong2, John Detre2, and Hengyi Rao2

1University of Science and Technology of China, Hefei, China, 2University of Pennsylvania, Philadelphia, PA, United States

Resting-state fMRI assessed with graph theoretical modeling provides a noninvasive approach for measuring brain network topological organization properties, yet their reproducibility remains uncertain. Here we examined the test-retest reliability of seven brain small-world network metrics from well-controlled resting-state scans of 16 healthy adults using different data processing and modeling strategies. Among the seven network metrics, Lambda exhibited highest reliability whereas Sigma performed the worst. Weighted network metrics provided better reliability than binary network metrics, while reliability from the AAL90 atlas outweighed those from the Power264 parcellation. Global signal regression had no consistent effect on reliability of these network metrics.

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Development of a Quantitative Assessment tool for Peripheral Artery Feature Extraction (pCafe)
Li Chen1, Thoetphum Benyakorn 1,2, Gador Canton1, Niranjan Balu 1, Thomas S Hatsukami 1, Jenq-Neng Hwang 1, and Chun Yuan 1

1University of Washington, Seattle, WA, United States, 2Thammasat University, Bangkok, Thailand

Peripheral artery disease is a relatively common disease, normally caused by reduced blood flow to the limbs due to atherosclerosis in the arteries supplying them. Peripheral arteries’ anatomy, including collateral circulation, and flow information enable disease status assessment. We developed pCafe to semi-automatically trace peripheral arteries from 3D magnetic resonance angiography and measure both morphometry (anatomy) and intensity features (velocity). pCafe was validated on subjects with, and without peripheral artery occlusion, showing excellent agreement with human reviewer’s measurement (intra-class coefficient of 0.998). pCafe may be a useful tool to quantitatively characterize peripheral vascular structures in peripheral artery disease research.

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Simultaneous Voxel-based Magnetic Susceptibility and Morphometry Analysis in Patients with Alzheimer’s Disease
Hirohito Kan1, Yuto Uchida2, Nobuyuki Arai1, Yoshino Ueki3, Yoshihiro Akagawa4, Harumasa Kasai1, Yasujiro Hirose1, Noriyuki Matsukawa2, and Yuta Shibamoto1

1Department of Radiology, Nagoya City University Hospital, Nagoya, Japan, 2Department of Neurology, Nagoya City University, Nagoya, Japan, 3Department of Rehabilitation Medicine, Nagoya City University, Nagoya, Japan, 4Department of Radiology, Toyokawa City Hospital, Yoyohashi, Japan

This abstract introduces an analysis pipeline of voxel-based magnetic susceptibility and morphometry (VBMSM) on single MR scan. To validate the proposed pipeline, we conducted VBMSM in control and Alzheimer’s disease (AD) groups. VBM was performed using the magnitude image. The susceptibility map was estimated by new dipole inversion utilized segmentation result. For whole brain susceptibility comparison, the susceptibility map was spatially normalized by the same transformation parameter for VBM. Significant susceptibility increases could be detected in regions associated withβ-amyloid deposition in AD. Brain atrophy also could be detected in AD. VBMSM is adaptable to neurodegenerative diseases including AD.



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Automated cloud-based workflow for quantification of MRI signal intensity – initial real-world clinical validation
Marc Ramos1, Vesna Prčkovska1, Paulo Rodrigues1, Jinnan Wang2, Franklin Moser3, Markus Blank2, Sheela Agarwal2, Jacob Agris2, and David Moreno-Dominguez1

1QMENTA Inc., Barcelona, Spain, 2Bayer Radiology, Whippany, NJ, United States, 3Cedars Sinai Medical Center, Los Angeles, CA, United States

One-third of the brain MRI scans performed worldwide make use of contrast agent injections to enable hyperintensities detection. The long-term consequences of these contrasts can be dangerous to patients and the standard procedure to measure contrast deposition is manual, labor-intensive and time-consuming. We present a fully automatic workflow which accelerates the investigation of contrast agent depositions by extracting the T1-weighted modal intensity value and applies appropriate corrections and normalizations to allow comparison across acquisitions and protocols. Automatic results matched up to 94% correlation with manual results and reduced the time by 90%.

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Accurate Prenatal Diagnosis of Cleft Palate Using Magnetic Resonance Imaging with 3D Super-resolution Reconstruction
Wei Yuan1, Na Lu1, Zhixian Deng2, Xuhong Peng2, Yingwei Qiu3, Ting Song3, Tianjing Zhang4, Zhongping Zhang4, and Guoxi Xie1

1Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 2Qingyuan People’s Hospital, Qingyuan, China, 3The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 4Philips Healthcare, Guangzhou, China

The routine clinical technique for prenatal diagnosis of cleft palate (CP) is ultrasound (US). However, the technique has difficulties on definitive diagnosis of fetal CP especially cleft posterior palate because of its technical limitations. Previous studies have demonstrated that magnetic resonance (MR) imaging can be a useful adjunct to the diagnosis of fetal CP and provides better diagnosis performance than US. However, these studies are mainly based on 2D MR imaging which has limited resolution along slice selective direction and cannot freely visualize the fetal palate from any orientation. To address this issue, we sought to use a 3D super-resolution reconstruction method to reconstruct 3D isotropic volumetric images from 2D images stacks and evaluate its feasibility of CP diagnosis. 

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Analysis of Coil Combination for bSSFP Elliptical Signal Model
Nicholas McKibben1, Grayson Tarbox2, Michael Mendoza1, and Neal K. Bangerter3

1Electrical and Computer Engineering, Brigham Young University, Provo, UT, United States, 2Brigham Young University, Provo, UT, United States, 3Imperial College London, London, United Kingdom

The elliptical model method for removing residual banding in balanced steady state free precession images requires accurate phase information to operate. Most datasets have separate data for each coil channel with different sensitivity, requiring combination either before or after processing using the elliptical model to eliminate differences in coil sensitivity. We demonstrate that the order in which these steps are taken matters, requiring coil combination after processing with the elliptical model depending on the method.

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Comparison of Spatial Interpolation and Inpainting Methods for Estimation of Bad Fittings in Chemical Shift Imaging Data
Angel Torrado-Carvajal1, Daniel S Albrecht1, Ovidiu C Andronesi1, Eva-Maria Ratai1, Vitaly Napadow1, and Marco L Loggia1

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States

Chemical Shift Imaging (CSI) allows for the quantification of brain metabolite concentrations across multiple voxels/slices. However, issues with model fit (e.g., suboptimal standard deviation, line width/full width at half-maximum, and/or signal-to-noise ratio) can result in the significant loss of usable voxels. Here, we show that an image restoration method called “inpainting” can be successfully used to restore poorly fitted CSI voxels. This method exhibits superior performance (lowest root-mean-square errors) compared to more traditional methods. Inpainting and similar techniques can prove particularly useful as a means of minimizing voxel loss in group voxelwise analyses in standard space.


MRSI Acquisition & Reconstruction

Exhibition Hall
Tuesday 9:15 - 10:15
 Spectroscopy & Non-Proton MR

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Feasibility of 7T 31P MRSI in lung tumors
Quincy van Houtum1, Catalina Arteaga de Castro1, Wybe van der Kemp1, Joost Verhoeff2, Jochem van der Voort van Zyp2, and Dennis Klomp1

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Oncology, University Medical Center Utrecht, Utrecht, Netherlands

In this study we show the feasibility of 31P MRSI acquisition from a lung carcinoma tumor in a patient using a 31P whole body birdcage coil at 7T. We showed that even without B0 shimming, 31P spectra could be aligned and averaged to differentiate several metabolites, related to membrane metabolism, in the lung tumor. 31P MRSI has great potential for the detection of therapy response in lung tumor cancer, as often the tumor is still relatively large to obtain sufficient spectral signal.

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Reducing Signal Spreading with Non-Cartesian Encoding Methods for abdominal 31P 3D-MRSI with Focus on the Gallbladder
Lorenz Pfleger1,2, Lukas Hingerl2, Albrecht Ingo Schmid2,3, Philipp Moser2, Wolfgang Bogner2,4, Yvonne Winhofer1, Siegfried Trattnig2,4, and Martin Krššák1,2,4

1Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria, 2High-field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria

This study focuses on 31P 3D MR spectroscopic imaging (MRSI) of the gallbladder and the reduction of voxel bleeding by Non-Cartesian encoded data sampling. Our results demonstrate on a phantom that the contamination due to point-spread-function (PSF) can be decreased compared to conventional Cartesian phase encoding. Qualitative improvements were investigated by metabolic mapping of biliary phosphatidylcholine (PtdC) originating from the gallbladder.

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Comparison of Reconstruction Methods for Compressed Sensing phosphorus 31P-MRSI
Alejandro Santos Diaz1,2 and Michael Noseworthy1,2,3

1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Center, St. Joseph's Healthcare, Hamilton, ON, Canada, 3Electrical and Computing Engineering, McMaster University, Hamilton, ON, Canada

Phosphorus MR spectroscopy and spectroscopic imaging (31P-MRS/MRSI) provide information about energy metabolism, membrane degradation and pH in vivo. However, these methods are not often used primarily because of excessive scan time. Recently, compressed sensing has awakened interest as an acceleration method for MR signal acquisition. In this work we present a 31P-MRSI sequence that combines a flyback-EPSI trajectory with compressed sensing, and we compared two reconstruction methods, conjugate gradient L1-norm minimization and low-rank Hankel matrix completion. Overall, our results showed good preservation of spectral quality for low acceleration factors and an improved performance with the low-rank approach.

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31P MRSI of the human brain at 9.4 T: Metabolic imaging applying low-rank denoising
Loreen Ruhm1,2, Johanna Dorst1,2, Nikolai Avdievich1, Andrew Wright1,2, Christian Mirkes1, Jonas Bause1,3, Klaus Scheffler1,3, and Anke Henning1

1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University of Tübingen, Tübingen, Germany, 3Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany

31P MRSI enables the imaging of important components of the energy and cell membrane metabolism but suffers from low intrinsic sensitivity. In this work, we tested the LORA and CLORA low-rank noise reduction approaches to improve the quality of 3D 31P MRSI data and present first in vivo results for 31P MRSI acquired from the human brain at ultrahigh field strength of 9.4 T.

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Accelerating High-Resolution Semi-LASER 1H-MRSI Using SPICE
Yibo Zhao1,2, Yudu Li1,2, Rong Guo1,2, Bryan Clifford1,2, Xin Yu3, and Zhi-Pei Liang1,2

1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Most of the current 1H-MRSI techniques have several major practical limitations, including long data acquisition time, low spatial resolution and poor SNR. To overcome these limitations, we accelerate the semi-LASER technique by incorporating subspace modeling. With this improvement, semi-LASER is cable of achieving 1.9×1.6 mm2 resolution in a 1.5 minutes scan, which is a significant improvement over the conventional semi-LASER. This imaging capability has been validated with in vivo experiments, and it may significantly enhance the practical utility of 1H-MRSI.

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Non-Water suppressed High-Resolution 1H-MRSI of the Brain Using Short-TE SPICE with semi-LASER Concentric Ring Trajectory Acquisition
Uzay Emir1,2, Pingyu Xia1, Ulrike Dydak1,3, Xiaopeng Zhou1, Albert Thomas4, Mark Chiew5, Rong Guo6,7, Yudu Li6,7, Yibo Zhao6,7, and Zhi-Pei Liang6,7

1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 4Department of Radiology, University of California Los Angeles, Los Angeles, CA, United States, 56Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 6Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Illinois Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, IL, United States, 7Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, IL, United States

Magnetic resonance spectroscopic imaging (MRSI) is an appealing technique in both research and clinical settings. However, the utility of MRSI has been hampered by long acquisition times and artifacts caused by lipid contamination and poor water suppression.  Recent advances in MRSI acquisition and preprocessing, like concentric rings (CRT) trajectories and SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation) (REF3), have overcome some of these issues. This work reports our success in integrating SPICE with CRT acquisitions to address the challenges of sensitivity, spectral quality, speed, and spatial resolution.

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Parallel Imaging for Concentric Circle Readouts with GRAPPA Reconstruction for Full-Brain 3D-FID-MRSI at 7T
Lukas Hingerl1, Bernhard Strasser2, Philipp Moser1, Gilbert Hangel1, Stanislav Motyka1, Eva Heckova1, Stephan Gruber1, Siegfried Trattnig1,3, and Wolfgang Bogner1

1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria, 2Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria

Non-Cartesian sampling methods for MRSI such as concentric ring trajectories (CRT) are highly suitable at field strenghts ≥7T while being SNR-efficient due to its self-rewinding property and low-pass k-space-weighting. However slewrate constraints enforce the CRT to sample the k-space periphery with 2-fold or 3-fold the time of the inner circles via more temporal interleaves (TI). The combination of variable density parallel imaging (PI) and CRT for MRSI allows high acceleration factors since the undesired but necessary variable TIs can be easily undersampled and allowing therefore higher accelerations in the k-Space periphery.

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In vivo echo-planar spectroscopic imaging (EPSI) at 7 tesla with readout segmentation for improved spectral bandwidth
Graeme A. Keith1, Marco Vicari2, Rosemary A. Woodward3, and David A. Porter1

1Imaging Centre of Excellence, University of Glasgow, Glasgow, Scotland, 2Fraunhofer MEVIS, Bremen, Germany, 3Glasgow Clinical Research Imaging Facility, NHS Greater Glasgow and Clyde, Glasgow, Scotland

The use of echo-planar spectroscopic imaging at ultra-high field strengths is attractive due to its suitability for high spatial and spectral resolution (HiSS) acquisitions. The drawback of the method at 7T and above is the decreasing spectral bandwidth as field strength increases. This work seeks to decouple the spectral bandwidth from the spatial resolution by the use of readout segmentation to achieve shorter echo spacing. Readout segmented EPSI spectra collected in vivo at 7T and comparable to a standard SVS method are presented. This allowed the calculation of metabolite maps for NAA, creatine and choline.

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Improved whole brain water suppression efficiency with four-pulse WET in echo-planar spectroscopic imaging (EPSI) at 7 tesla
Graeme A. Keith1 and David A. Porter1

1Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom

Water suppression in MR spectroscopic imaging can be sensitive to variations in B1 in the sample, such as are present at 7 tesla. This work compares two versions of the WET water suppression method, the standard 3-pulse method and the extended 4-pulse method which is expected to be less sensitive to B1 variation.  It is found that the 4-pulse method provides a greater consistency of water suppression efficiency across a range of B1 in both phantoms and the brain at 7T.

2483
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Fast  spectral imaging at 7T using COKE (COherent K-t-space Epsi) with a spatially selective IR pulse (achieved by controlling pTX coil phases)
Rita Schmidt1

1Neurobiology, Weizmann Institute of Science, Rehovot, Israel

In a recent study, we demonstrated the feasibility of the COKE (Coherent K-t-space EPSI) sequence at 3T MRI to halve acquisition time or double the spectral width (SW) compared to EPSI. In this study, we explored, on a phantom with mimicking brain properties, the benefits of COKE at 7T for fast spectroscopic imaging; using an SW of 2500Hz to better cover the metabolites' frequency range.  We combined it with spatially selective inversion recovery (IR) using B1 phases optimization in 8-channels transmit coil to minimize the signal drop in the center and to optimize the IR in the lipid region.  

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MR-SASSI-Accelerated, B1-Insensitive, Magnetic Resonance Spectroscopic Imaging at 7T: first in vivo results
Rebecca Emily Feldman1, Gaurav Verma1, and Priti Balchandani1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Magnetic Resonance Spectroscopic Imaging (MRSI) is a signal-starved technique compared to conventional magnetic resonance imaging. At ultra-high fields, such as 7 Tesla the increased signal to noise permits the acquisition of improved spectra. Spatial localization performed the volume of interest is can be time consuming. We created a multi-region excitation pulse embedded within a B1-insensitive MRSI sequence and demonstrated its use in vivo to excite two distinct spectroscopic grids which are simultaneously acquired and disentangle using a low-resolution reference scan, thus accelerating the acquisition of MRSI data.

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How does spatial resolution affect the spectral quality and quantification accuracy of whole-brain MRSI? A simulation study at 1.5T, 3T, 7T and 9.4T
Stanislav Motyka1, Philipp Moser1, Lukas Hingerl1, Gilbert Hangel1, Eva Heckova1, Bernhard Strasser2, Korbinian Eckstein1, Simon Robinson1, Benedikt A Poser3, Stephan Gruber1, Siegfried Trattnig1, and Wolfgang Bogner1

1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria, 2Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands

The quality of MRSI data depends strongly on B0 inhomogeneities, which cause broadening of metabolite resonances and decrease signal-to-noise ratios (SNR). B0 inhomogeneity is more severe at higher B0 field, diminishing the expected SNR and spectral resolution improvements. We have created simulation models which allow us to investigate how the spectral quality and quantification accuracy of MRSI changes with increasing spatial resolution and B0 field strength, using experimentally acquired data from 1.5T, 3T, 7T, and 9.4T. These simulations show not only that accurate MRSI quantification generally benefits from smaller voxels, but it does so particularly at UHF.

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Accelerated J-Resolved 1H-MRSI with Limited and Sparse Sampling of (k, tJ)-Space
Lihong Tang1, Yibo Zhao2,3, Yudu Li2,3, Rong Guo2,3, Bryan Clifford2,3, Chao Ma4, Zhi-Pei Liang2,3, and Jie Luo1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 3Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 4Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

J-resolved 1H-MRSI is a powerful tool for mapping brain molecules, especially those with large spectral overlaps (e.g., glutamate, glutamine and GABA), yet it requires very long data acquisition times. Building on work in accelerated subspace-based imaging, this work proposes an accelerated acquisition scheme with limited and sparse sampling of (k, tJ)-space, based on a physics-based spectral model and Cramer-Rao lower bound analysis. A model-based processing scheme is also proposed, which performs model-based reconstruction and spectral quantification directly from the measurement data. The proposed method has been evaluated with simulated and in vivo experiments which have yielded very encouraging results.

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Detection of Choline, Glycine and Myo-inositol in Malignant Breast Cancer In-vivo Using Multi-dimensional Spectroscopic Imaging
Andres Saucedo1, Manoj Kumar Sarma1, Sumit Kumar1, Kavya Umachandran1, Melissa Joines1, Stephanie Lee-Felker1, Maggie DiNome2, and Michael Albert Thomas1

1Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Surgery, University of California, Los Angeles, Los Angeles, CA, United States

Multi-parametric MR techniques have been used to diagnose and monitor the therapeutic outcome of cancer in the breast and other tissues and organs. One-dimensional MRSI has shown significantly elevated choline and higher water-to-fat ratio in malignant tumors as compared to healthy controls. Two-dimensional MRS resolves peaks along an additional spectral dimension which overcomes the overlap limitation of 1D MRSI, thereby providing more discriminatory information for developing non-invasive methods for cancer grade determination. This study presents the first application of an accelerated, echo-planar based technique that acquires correlated (2D) spectroscopy data for each voxel of 1.5ml resolution within a 3D volume (5D EP-COSI) in breast cancer. Our preliminary results in a pilot cohort of malignant and breast cancer patients demonstrate changes in unsaturated fatty acids and increased choline in malignant group compared to benign and healthy women. These pilot results indicate the potential application of the 5D EP-COSI technique which may be useful in improving the specificity of breast cancer.

2488
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High-Resolution T1 maps of Brain Metabolites
Antoine Klauser1, Frédéric Grouiller2, Sebastien Courvoisier1, and Francois Lazeyras1

1CIBM, Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 2Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland

High-resolution T1 maps are measured over the whole human brain with proton FID-MRSI with incremental flip-angles. MRSI datasets with multiple flip-angles are reconstructed simultaneously through a low-rank-total generalized variation model and T1 values are determined by fit of the steady state magnetization with B1 inhomogeneity correction. Twofold compressed-sensing acceleration enables acquisition of a single flip-angle in 5 min and resulting in acquisition of 3 flip-angles in 15 min. Precise determination of T1 would enables an accurate correction of signal loss and might provide important information on brain micro-structure.

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Comparison of ROI averaging and Spectral Localization by Imaging (SLIM) Using High Resolution 3D Echo Planar Spectroscopic Imaging (EPSI)
Sean Edmund Ellis1,2, Peter Adany1, Phil Lee1,2,3, and In-Young Choi1,2,3,4

1Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Bioengineering, University of Kansas, Lawrence, KS, United States, 3Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States, 4Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States

Conventional spectroscopic imaging methods have limitations that make acquiring metabolic information for complexly-shaped brain regions a challenge.  The following study compares two methods for acquiring the regional metabolic spectra for a complex compartment shape: spectral estimation via the spatial-averaging of voxels, and Spectral Localization by Imaging (SLIM).  Both techniques used the original data sets acquired from 3D Echo Planar Spectroscopic Imaging sequences.  The two methods were compared, with the results showing that SLIM could provide comparable compartment spectra using fewer voxel acquisitions without a significant drop in spectral quality.

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Validation of B0-adjusted and sensitivity-encoded spectral localization by imaging (BASE-SLIM) using High Resolution 3D EPSI
Peter Adany1, In-Young Choi1,2,3, Sean Ellis1, and Phil Lee1,3

1Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States, 3Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States

B0-adjusted and sensitivity-encoded spectral localization by imaging (BASE-SLIM) provides non-Fourier based localization for arbitrarily shaped compartments. We have extended BASE-SLIM to 3D and compared the outcome of BASE-SLIM reconstruction with that of voxel averaged high resolution 1H MRSI.

2491
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B0 Drift Correction in Proton Chemical Shift Imaging
XIANFENG SHI1, Young-Hoon Sung1, Douglas Kondo1, and Perry F. Renshaw1

1Psychiatry, University of Utah, Salt Lake City, UT, United States

This study aims to improve 1H CSI data quality, by presenting a novel method for correction of B0 instability (0.9 Hz/min drift) due to gradient system heating produced by application of DTI and fMRI sequences. The method tracks magnetic field drift using three reference lines in the 1H CSI data, which allow misaligned spectral data to be corrected in post-processing. This novel method may be combined with any spectroscopic technique that employs water suppression. Both phantom and in vivo data are presented, to demonstrate improved SNR and spectrum quality, with minimal influence on metabolite data acquisition or added cost.

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Retrospective motion compensation for edited MRSI data
Kimberly Chan1,2,3 and Peter Barker2,3

1Department of Biomedical Engineering, The Johns Hopkins University School, Baltimore, MD, United States, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

A retrospective motion compensation method for edited MR spectroscopic imaging (MRSI) data of the human brain is presented. The algorithm identifies movement-affected data by comparing the residual water and lipid peaks at the same k-space point, and either phase corrects, replaces or removes motion-affected FIDs. The method was applied to in vivo GABA-edited MRSI data: relative to uncorrected spectra, the corrected spectra had significantly less subtraction artifacts.  The method was also demonstrated for correction of glutathione-edited MRSI data.

2493
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Spectroscopic imaging of macromolecule-suppressed J-difference editing of GABA at 3 Tesla
Kimberly Chan1,2,3 and Peter Barker2,3

1Department of Biomedical Engineering, The Johns Hopkins University School, Baltimore, MD, United States, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

In this study, the feasibility of macromolecule-suppressed MR spectroscopic imaging (MRSI) of GABA in the human brain at 3T was investigated.  PRESS-localized MRSI was performed for both macromolecule (MM)) suppressed GABA and non-suppressed (GABA+) editing. GABA concentrations and MM fractions were assessed and compared.  Data quality metrics (B0 homogeneity, and GABA and water fit errors) were also calculated.  A significant linear correlation of GABA+ with GABA concentrations was found.  MM-suppressed GABA and GABA+ concentrations agreed with previously reported single-voxel values.  Data quality metrics were also similar to those of prior single-voxel acquisitions.

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Ultra high-field, high-resolution semi-LASER MRSI of the brain
Yan Li1, Artan Kaso2, Ralph Noeske3, Angela Jakary1, Rolf F Schulte3, Christopher P Hess1, Janine M Lupo1, and Peder E.Z. Larson1

1University of California, San Francisco, CA, United States, 2University of Maryland, Baltimore, MD, United States, 3GE Healthcare, Munich, Germany

The purpose of this study was to implement and optimize multi-voxel semi-LASER MRSI in brain regions that are frequently used in clinical studies, such as deep gray structures and motor cortex, within a clinically feasible time.

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Superresolution MRSI: a desirable acquisition trajectory.
Claudiu Schirda1

1Radiology, University of Pittsburgh, Pittsburgh, PA, United States

The smoothly varying waveform and sampling that starts at k=0 and the innate property of rewinding periodically to k=0, makes the rosette trajectory achieve the same spatial resolution and spectral bandwidth as other trajectories (EPSI, SSI, CONCEPT) using less than twice gradient strength and slew rate. This makes it an ideal candidate for superresolution MRSI and ultra-high field SI acquisitions.

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Effects of Point Spread Function and Regularization Information on the MRSI with Compressed Sensing
Jung-Hsiang Chang1, Yi-Hsun Yang1, Tzu-Cheng Chao2,3, and Cheng-Wen Ko1

1Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, 2Department of Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, 3MOST AI Biomedical Research Center, Tainan, Taiwan

Compressed Sensing can be very useful in accelerating Phase-encoded Proton MRSI. The sampling functions and the reconstruction settings have been known as critical factors in recovering the data of the accelerated acquisition. The present work compared the choices of sampling functions and the regularization information in the reconstruction in a hope to optimize the framework of Compressed Sensing based MRSI. The results suggest that the spectral quality can be retained for as high as five-fold acceleration with an appropriate undersampling and reconstruction setting.

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Undersampling strategies for compressed sensing accelerated MR spectroscopic imaging
Nutandev Bikkamane Jayadev1, Christopher Lawhorn1, John Chang2, and Vikram Kodibagkar1

1SBHSE, Arizona State University, Tempe, AZ, United States, 2Department of Radiology and Medical Imaging, Banner MD Anderson Cancer Center, Glibert, AZ, United States

Magnetic Resonance Spectroscopic Imaging (MRSI) is an invaluable tool in cancer diagnosis due to its specificity but long scan times makes it less popular for routine clinical use. Clinical integration of accelerating methods such as compressed sensing (CS) can improve patient throughput. Two different undersampling strategies were implemented and statistical fidelity was tested to obtain a five-fold reduction is acquisition time; 1) a conventional variable density pseudorandom undersampling and 2) an a priori information based strategy that exploits anatomical scans. Statistical results from in vivo studies show the feasibility of using CS accelerated MRSI without loss of data fidelity. 

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Compensation of Spectral Line Broadening in Proton-Echo-Planar-Spectroscopic-Imaging (PEPSI) using Dynamic Expansion of K-Space and Parallel Imaging
Stefan Posse1 and Bruno Sa De La Rocque Guimaraes 1

1Neurology,Physics and Astronomy, University of New Mexico, Albuquerque, NM, United States

This study introduces a novel MRSI approach using dynamically expanding k-space acquisition during spectral encoding to compensate B0 inhomogeneity related signal losses and spectral line broadening, taking advantage of the sparsity of the spectral signal in the time domain. 2D PEPSI with segmented increases in k-space to a maximum 6x6-fold expansion in kx and ky using spectral time domain and ky undersampling was implemented on a clinical scanner. The study characterizes signal gains and resulting spectral line narrowing in regions with B0 inhomogeneity in phantoms and in vivo. This approach complements emerging hardware solutions for improving higher-order shimming.


Other Nuclei MR

Exhibition Hall
Tuesday 9:15 - 10:15
 Spectroscopy & Non-Proton MR

2499
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Spectral Editing of NAD+/NADH in 31P NMR spectra of Human Brain
Jimin Ren1,2, A Dean Sherry1,2,3, and Craig R Malloy1,2,4

1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 3Department of Chemistry, University of Texas at Dallas, Richardson, TX, United States, 4VA North Texas Health Care System, Dallas, TX, United States

Nicotinamide adenine dinucleotides (NAD+/NADH) play an essential role in cellular redox reactions and many biological processes. Altered NAD+/NADH levels and redox state may be associated with development of neurodegenerative diseases and psychotic disorders. 31P MRS is currently the only non-invasive technique to measure NAD+/NADH levels and redox state in human brain in vivo. However, the present technique suffers two major drawbacks: (1) the severe overlapping of the NAD+/NADH signals with the α-ATP resonance, and (2) the distorted baseline underneath these signals. Here we present a novel spectral editing method that allows resolution of NAD+/NADH from α-ATP at baseline. 

2500
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Fast Quantification of Creatine Kinase Reaction Rate in Mouse Skeletal Muscle Using 31P Magnetic Resonance Fingerprinting
Kihwan Kim1, Charlie Wang 2, Yuning Gu2, Shuying Huang2, Bryan Clifford3, Zhi-Pei Liang4, and Xin Yu2

1Biomedical Engineering, Case Western Reserve University, cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, OH, United States

We evaluated the accuracy and efficiency of a 31P magnetic resonance fingerprinting (MRF) method for fast measurement of the creatine kinase (CK) rate constant in mouse skeletal muscle.  Our results showed consistent measurement of CK rate constant with less than 10% variations with only 6 signal averages, corresponding to 2 min acquisition.

2501
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Functional 31P Magnetic Resonance Spectroscopy of the Human Visual Cortex using Repeated Short-Term Stimulation at 7T
Vanessa Franke1, Ferdinand Zimmermann1, Arthur W. Magill1, Mark E. Ladd1, Peter Bachert1, and Andreas Korzowski1

1German Cancer Research Center (DKFZ), Heidelberg, Germany

Functional 31P Magnetic Resonance Spectroscopy allows the noninvasive observation of high-energy phosphate turnover in vivo, and might enable insight into the energy metabolism of activated brain areas. The purpose of this study was to investigate possible changes in 31P spectra of the human brain at B0 = 7T in response to repeated short-term visual stimulation. No significant changes in signal intensities and frequencies of 31P-containing brain metabolites were observed, which agrees with results from recent studies at ultra-high fields using long-term stimuli.  

2502
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Dynamic 31P-MRSI of Human Calf Muscles using Compressed Sensing and a Low Rank Reconstruction
Alejandro Santos Diaz1,2, Diana Harasym1,2, and Michael Noseworthy1,2,3

1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Center, St. Joseph's Healthcare, Hamilton, ON, Canada, 3Electrical and Computing Engineering, McMaster University, Hamilton, ON, Canada

Dynamic 31P-MRSI experiments require temporal resolution on the order of seconds to concurrently assess metabolic change in different muscles. In this study we developed a pulse sequence using a flyback-EPSI readout combined with compressed sensing (CS) to achieve a 9 second temporal resolution and tested it in 11 healthy volunteers during an exercise-recovery challenge of the lower leg muscles. Our results showed that the sequence was capable of assessing PCr depletion/recovery and intracellular pH at rest and following exercise, of multiple muscle groups simultaneously, using a clinical 3T MR system.

2503
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Dependence of 31P MRS Redox Ratio on T1 Saturation
Shizhe Steve Li1, Jan Willem van der Veen1, Li An1, JoEllyn Stolinski1, Maria Ferraris-Araneta1, Christopher Johnson1, and Jun Shen1

1National Institutes of Health, Bethesda, MD, United States

31P measurement of the oxidized (NAD+) and reduce form (NADH) of nicotinamide adenine dinucleotide has been applied to in vivo assessment of the redox state of the brain. Since uridine diphosphate glucose (UDPG) overlaps with the nicotinamide adenine dinucleotide peaks we examined the effect of changes in the relative intensities of the UDPG basis components on quantification of the redox ratio. We found that the fitted redox ratio is significantly dependent on the UDPG basis whose chemically distinct components are subject to different T1 saturation effect in vivo.

2504
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Human cardiac pH and Pi concentration during dobutamine stress measured by 7T 31P-MRS
Albrecht Ingo Schmid1,2, Andrew P Apps2, Ladislav Valkovic2,3, Elisabeth Tunnicliffe2, William T Clarke4, Mark A Peterzen2, Stefan Neubauer2, Oliver J Rider2, and Christopher T Rodgers2,5

1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 2Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford, United Kingdom, 3Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, 4Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford, United Kingdom, 5The Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom

The hydrolysis of adenosine triphosphate (ATP) to adenosine diphosphate (ADP) in the reaction ATP + H20 ⇌ ADP + Pi (inorganic phosphate) is used to drive all cellular processes, including those involved in ventricular contraction and relaxation. When spectral quality is sufficient to quantify the Pi peak, it is possible to assess the ratio of Pi to phosphocreatine (Pi/PCr), which is an established measure of the muscle control of energy production. It is also possible to assess cardiac intracellular pH from the Pi to PCr frequency offset. Most human cardiac 31P-MRS studies report only the PCr/ATP ratio, and are typically unable to quantify cardiac Pi because of partially overlapping resonances from 2,3-diphosphoglycerate in blood. We aimed to use ultra-high (7T) field strength and a novel 31P STEAM sequence to 1) non-invasively measure myocardial Pi/PCr and pH at rest and 2) for the first time record these parameters during catecholamine stress.

2505
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NOE enhancement for 31P-MRS of skeletal and cardiac muscle at 7T
Chang-Hoon Choi1,2, Ladislav Valkovic2,3, William T. Clarke4, Albrecht I. Schmid2,5, N. Jon Shah1,6,7,8, and Christopher T. Rodgers2,9

1Institute of Neuroscience and Medicine-4, Forschungszentrum Juelich, Juelich, Germany, 2Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom, 3Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislave, Slovakia, 4Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom, 5High-Field MR Centre, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 6Institute of Neuroscience and Medicine-11, JARA, Forschungszentrum Juelich, Juelich, Germany, 7JARA-BRAIN-Translational Medicine, Aachen, Germany, 8Department of Neurology, RWTH Aachen University, Aachen, Germany, 9The Wolfson Brain Imaging Centre, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom

Phosphorus MR spectroscopy (31P-MRS) is a proven method for probing tissue energetics and membrane metabolism. Nuclear Overhauser effect (NOE) enhancement can considerably improve the quality of 31P spectra. This has been demonstrated in the brain and prostate at 7T, but NOE has not yet been applied elsewhere in the human body at 7T. In this study, we evaluated NOE enhancement for 31P-MRS in human skeletal muscle and in the heart in vivo at 7T. We observe significant enhancements (e.g. for PCr/γ-ATP: 25%/16% in muscle, 31%/11% in heart), within regulatory SAR limits and without increasing the scan duration. 

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Nutritional ketosis increases NAD+/NADH ratio in healthy human brain: an in vivo study by 31P-MRS
Lijing Xin1, Özlem Ipek1, Maurice Beaumont2, Maya Shevlyakova2, Nicolas Christinat3, Mojgan Masoodi3, Norman Greenberg4, Rolf Gruetter1,5, and Bernard Cuenoud4

1Center for Biomedical Imaging, École polytechnique fédérale de Lausanne, Lausanne, Switzerland, 2Clinical Development Unit, Nestlé Research Center, Lausanne, Switzerland, 3Nestlé Institute of Health Sciences SA, Lausanne, Switzerland, 4Nestlé Health Science, Epalinges, Switzerland, 5Department of radiology, University of Lausanne and Geneva, Lausanne and Geneva, Switzerland

Ketones represent an important alternative fuel for the brain under glucose hypo-metabolic conditions induced by neurological diseases or aging, however their metabolic consequences in healthy brain remain unclear. Here we report that ketones can increase the redox NAD+/NADH ratio in the resting brain of healthy young adults. As NAD is an important energetic and signaling metabolic modulator, these results provide mechanistic clues on how nutritional ketosis might contribute to the preservation of brain health.

2507
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Metabolic fate of glucose in atypical meningioma studied by 13C NMR isotopomer analysis
Kumar Pichumani1, Omkar B Ijare1, and David S Baskin1

1Neurosurgery, Houston Methodist Hospital and Research Institute, Houston, TX, United States

Meningiomas are tumors arising from meninges, the membranes surrounding the brain and the spinal cord.  Majority of meningiomas (grade-1) are benign and grow slowly. However, atypical meningiomas (grade-2) exhibit increased cellular abnormalities, and grow at a faster rate than benign meningiomas. Moreover, atypical meningiomas prone to recurrence and show resistance to radiotherapy. Atypical meningiomas show higher 18F-FDG uptake in PET scans. No prior reports are available on investigating metabolic fate of glucose in atypical meningiomas. The goal of this study is to probe the metabolic fate of glucose using NMR based [U-13C]glucose isotopic tracing methods in patient-derived atypical meningioma cells.

2508
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An Optimized PRESS Sequence for the Detection of 13C4-Glutamate at 9.4 T
Brennen J. Dobberthien1, Anthony G. Tessier1,2, and Atiyah Yahya1,2

1Department of Oncology, University of Alberta, Edmonton, AB, Canada, 2Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada

Glutamate (Glu) incorporates 13C label on its C4 carbon (13C4-Glu) following a 13C-labelled glucose (Glc) infusion, resulting in a ≈2.51ppm proton “satellite” peak that provides an indirect measure of 13C4-Glu.  Quantification of the satellite peak is complicated at short echo time (TE) due to overlap with the ≈2.49ppm N-acetylaspartate (NAA) peak. A PRESS, point resolved spectroscopy, (TE1, TE2) combination of (20ms, 106ms) was found to be suitable for resolving the ≈2.51ppm 13C4-Glu proton peak from that of NAA at 9.4T by exploiting differences in J-coupling evolution. The efficacy of the technique is verified on rat brain during a [U-13C6]-Glc infusion.

2509
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Cardiac mechanical function and metabolism during hyperpolarized 13C experiments
Gregory P Barton1, Erin B Macdonald1, Kara N Goss2,3, Marlowe W Eldridge3,4, and Sean B Fain1,4,5

1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Medicine, University of Wisconsin-Madison, Madison, WI, United States, 3Pediatrics, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, University of Wisconsin-Madison, Madison, WI, United States

We investigated the relationship between contractile function and hyperpolarized (HP) [1-13C]pyruvate metabolism in a small animal model. We demonstrated significant functional changes in cardiac contractile function between pre- and post-infusion of [1-13C]pyruvate. The combined effect of infusion volume and pyruvate substrate likely explains most of the augmentation in myocardial mechanical function seen in these experiments. These data indicate the most appropriate time to image myocardial contractile function is soon as possible after HP 13C pyruvate infusion.

2510
Computer 37
Protocol for multi-site quantitative evaluation of 13C radio frequency coils
Galen D Reed1, Rolf F Schulte2, Jae Mo Park3, Craig R Malloy3, Rie B Hansen4, and Albert P Chen5

1GE Healthcare, Dallas, TX, United States, 2GE Healthcare, Munich, Germany, 3UT Southwestern Medical Center, Dallas, TX, United States, 4Technical University of Denmark, Kongens Lyngby, Denmark, 5GE Healthcare, Toronto, ON, Canada

We present a protocol for measurement of SNR profile of 13C RF coils for clinical imaging systems. This protocol makes use of standard, vendor-provided pulse sequences as well as the natural abundance 13CH3 resonance of the dimethyl silicone (DMS) phantoms which are widely distributed. We also provide an open source code for processing and analysis. 

 


2511
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Enhanced sodium quantification accuracy in a 3T clinical 23Na MR stroke study
Nadia Karina Paschke1, Roberta Egoriti1,2, Manuel Winkler1,3, Eva Neumaier-Probst4, Sherif Mohamed4, Melina Samartzi5, Marc Fatar5, and Lothar Rudi Schad1

1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Biomedical Engineering, Politecnico di Milano, Milan, Italy, 3Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Department of Neuroradiology, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany, 5Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

Tissue sodium quantification from sodium magnetic resonance acquisitions is a promising biomarker in ischemic stroke diagnostics and can be incorporated in clinical magnetic resonance protocols. Since no gold standard of protocol design and post-processing exists yet, we investigated three research questions for enhanced sodium quantification in 20 stroke patients: Are transmission field corrections necessary? Should the relaxation behavior be included in the quantification? Should manual evaluations of region of interests be replaced by automatic whole brain segmentation analyses? Based on this study, we propose to include user-independent segmentation and relaxation correction in 23Na whole brain analysis, while omitting transmission corrections.

2512
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Combined 23Na/39K MRI for the quantification of Na+ and K+ concentrations in human skeletal muscle at 7 T
Lena V. Gast1, Max Müller1, Bernhard Hensel2, Michael Uder1, and Armin M. Nagel1,3

1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Center for Medical Physics and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

A non-invasive determination of Na+ and K+ concentrations in skeletal muscle tissue is desirable to gain insights into pathological processes connected to various diseases. In this work, the feasibility of combined quantitative 23Na/39K MRI at 7 T using a double-tuned 23Na/39K birdcage calf coil was examined. In phantom measurements, a 23Na/39K SNR ratio of 46.8 was found. Moreover, Na+ and K+ concentrations close to the real concentrations were determined. In skeletal muscle tissue, fast transverse relaxation of 39K leads to underestimation of Kconcentrations if no relaxation correction is applied.

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Whole-brain 23Na multi-parametric mapping at 7 Tesla
Lisa Leroi1, Jacques Stout1, Arthur Coste1, Ludovic de Rochefort2, Mathieu D. Santin3, Romain Valabrègue3, Franck Mauconduit4, Cécile Rabrait-Lerman1, Fawzi Boumezbeur1, and Alexandre Vignaud1

1CEA - Neurospin, Paris, France, 2CRMBM, UMR 7339, Aix-Marseille University, Paris, France, 3CENIR, ICM, Hôpital Pitié-Salpêtrière, Paris, France, Paris, France, 4Siemens Healthineers, Saint-Denis, France

Quantifying physical properties of sodium could be of benefit to assess more specifically changes in cellular homeostasis accompanying neuroinflammatory or neurodegenerative processes. Here, we performed whole-brain Quantitative Imaging using Configuration States (QuICS) in vivo at 7 Tesla to assess simultaneously Total Sodium Concentration (TSC) and relaxation times (T1 and T2). An acquisition time of 20 minutes was sufficient for a 10 mm3 isotropic resolution. In the future, the use of non-Cartesian trajectories could further reduce the overall acquisition time, opening the way to the additional estimation of the trace apparent diffusion coefficient.

2514
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Optimizing Compressed Sensing for quantitative Sodium MRI of the human brain
Yasmin Blunck1,2, Scott C. Kolbe2,3, Bradford A. Moffat2,3, Roger J. Ordidge2,3, Jon O. Cleary2,3, and Leigh A. Johnston1,2

1Biomedical Engineering, University of Melbourne, Parkville, Australia, 2Melbourne Brain Centre Imaging Unit, University of Melbourne, Parkville, Australia, 3Medicine & Radiology, University of Melbourne, Parkville, Australia

The clinical application of Sodium MRI is hampered due to relatively low image quality and associated long acquisition times (TA). Compressed Sensing (CS) aims at a reduction of TA, but has been found to encompass quantitative estimation bias when used in low SNR x-Nuclei imaging. This work analyses CS in human brain Sodium MRI from both angles, acquisition speed-up and quantification, and presents an optimized setup allowing an up to four-fold TA reduction with recommendations for quantitative assessments. The demonstrated global optima of CS weighting parameters and achievable reduction in TA greatly support the transition of Sodium MRI into clinical routine.


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Measurement of 23Na MRI point-spread function (PSF) using a 3D printing resolution phantom
Paul Polak1,2, Rolf Schulte3, and Michael Noseworthy1,2

1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare, Hamilton, ON, Canada, 3GE Global Research, Munich, Germany

Acquisition of in vivo 23Na MRI suffers from many inherent technical challenges, including low signal, short T2 relaxation times, and the necessity of dedicated hardware for transmitting and receiving. Despite these issues, research remains attractive because of sodium’s essential role in cellular homeostasis, pH regulation and action potentials in neurons. Quantification of data acquisition and reconstruction techniques are essential in order to overcome 23Na MRI’s difficulties, and we present measurement of the point-spread functions of 3D radial pulse sequences in resolution phantoms with differing sodium concentrations.

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Comparison of Relaxometry-Weighted Sodium MRI and IDH Status in Cerebral Gliomas
Aliaksandra Shymanskaya1, Wieland A. Worthoff2, Karl-Josef Langen2,3,4, and N. Jon Shah1,2,3,5

1Forschungszentrum Juelich, INM-11, Juelich, Germany, 2Forschungszentrum Juelich, INM-4, Juelich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, 4Department of Nuclear Medicine, RWTH Aachen University, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany

Patients with cerebral gliomas were investigated using an enhanced SISTINA sequence to estimate sodium relaxation and its correlation to the IDH mutational status. Sodium MRI is used for the indirect assessment of sodium relaxation parameters through the relative change at two echo times in tumour and contralateral tissue. Sodium signals attributed to mostly restricted and non-restricted sodium are differentiated through the development of multiple quantum coherences. Changes in relaxation rates in total sodium correlate to the IDH mutational status on short time scale. This correlation could be caused by the change in sodium distribution in different compartments in diseased tissue. 

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Measurement of Intraneurite Sodium Concentration from NODDI-based Partial Volume Correction of in vivo 23Na MRI
Iris Asllani1,2, Guillaume Madelin3, Marco Bozzali1,4, and Mara Cercignani1,4

1Neuroscience, Brighton and Sussex Medical School, Brighton, United Kingdom, 2Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, United States, 3Radiology, New York University School of Medicine, New York, NY, United States, 4Neuroimaging, Santa Lucia Foundation, Rome, Italy

 The sodium ion plays a crucial role in maintaining healthy brain function and metabolism. Changes in sodium concentration measured with 23Na MRI have been implicated in several diseases in the brain and other organs. However, due to SNR and scanning time requirements, 23Na MRI remains a low resolution technique hampered by partial volume effects. Here, we combined a partial volume correction (PVC) algorithm, previously used in Arterial Spin Labeling perfusion MRI, with Neurite Orientation Dispersion and Density Imaging (NODDI) to extract sodium concentration values from intra-  and extra-neurite compartments in the brain in vivo using 23Na MRI at 3T. 

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Optimized 3D Dictionary-Learning Compressed-Sensing Reconstruction for Quantitative Sodium Imaging in the Skeletal Muscle
Matthias Utzschneider1,2, Sebastian Lachner1, Nicolas G.R. Behl3, Lena V. Gast1, Andreas Maier2,4, Michael Uder1, and Armin Nagel1

1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Division of Medical Physics in Radiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany, 4Erlangen Graduate School in Advanced Optical Technologies, Erlangen, Germany

Quantitative sodium MRI could be a sensitive tool for therapy monitoring in muscular diseases. However, sodium MRI suffers a low signal-to-noise ratio (SNR). 3D dictionary-learning compressed-sensing (3D-DLCS) enables SNR improvement and acceleration of sodium MRI, but it is dependent on parameterization. In this work a simulation based optimization method for 3D-DLCS is presented, which finds the most suitable parameters for 3D-DLCS in the context of sodium quantification. The method is applied in an in vivo study to quantify sodium in the skeletal muscle. The optimized 3D-DLCS yields a lower quantification error than the reference reconstruction method (Nonuniform FFT). 

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Ouabain Inhibition Reverses Sodium Fluxes in a Preclinical Model of Migraine: a 23Na MRI Study at 21.1 T
Nastaren Abad1,2, David Hike1,2, Jens T Rosenberg2, Michael G Harrington3, and Samuel C Grant1,2

1Chemical and Biomedical Engineering, Florida State University, Tallahassee, FL, United States, 2National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 3Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States

Increased sodium potassium ATPase(Na,K-ATPase) pump activity raises cerebrospinal fluid and brain sodium, resulting in the onset and progression of central sensitization [1-4]. With the goal of testing whether impaired Na,K-ATPase activity is implicit in the onset of migraine, this study makes use of ouabain to inhibit Na,K-ATPase activity and delineate sodium changes that may lie at the heart of migraine. At high spatial and temporal resolution, 23Na multislice CSI scans were acquired from a rodent migraine model, at 21.1 T following the onset or potential inhibition of central sensitization to identify localized sodium changes over 3-h after induction.

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Multi-layered radiofrequency coil design for X-nuclei Imaging
Tony Zhou1,2, Justin Lau1,2, Andrew Tyler1,2, Chris Randell3, Jack Miller1,2,4, and Damian Tyler1,2

1Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 3Pulse Teq Ltd, Woking, United Kingdom, 4Department of Physics, University of Oxford, Oxford, United Kingdom

A novel multi-layered radiofrequency coil for X-nuclei imaging is presented which implements stacked layers for improved B1+ and SNR. The multi-layer design increased B1+ by 27% in 23Na phantom experiments and 19% in electromagnetic simulations compared to a single layer coil. Transmit-receive efficiency for a 13C multi-layer coil was double that of a quadrature coil, requiring half the power to achieve a 90° flip. An averaged SNR map from CSI indicated receive sensitivity gain of 33% from the quadrature to multi-layer design.

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Density Adapted Stack of Stars Sequence for 23Na using Dictionary Learning Compressed Sensing Reconstruction
Fabian J. Kratzer1, Sebastian Flassbeck1, Armin M. Nagel1,2, Peter Bachert1, Mark E. Ladd1, and Nicolas G. R. Behl1

1German Cancer Research Center (DKFZ), Heidelberg, Germany, 2University Hospital Erlangen, Erlangen, Germany

Sodium plays important roles in many cellular processes, which motivates imaging of the 23Na distribution. Short relaxation times and low in-vivo signal result in the need of sequences with short echo times and techniques to improve the SNR. Therefore, we present a stack of stars (SOS) sequence with density adapted readout gradients to increase SNR. We combine this sequence with an anisotropic dictionary learning compressed sensing reconstruction to further reduce noise in the images.

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Quantitative susceptibility mapping and sodium imaging based analysis of susceptibility and sodium concentrations in the basal ganglia
Till M. Schneider1, Nicolas Behl2, Martin Bendszus1, and Sina Straub2

1Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany, 2Division of Medical Physics, German Cancer Research Center (DKFZ), Heidelberg, Germany

23Na concentrations and iron deposition in cerebral gray matter have both shown to be increased in degenerative and inflammatory cerebral diseases. This study employs sodium imaging and quantitative susceptibility mapping to assess differences in sodium concentrations and susceptibility within the basal ganglia in healthy volunteers at 7T. Results indicate a fundamentally different distribution of 23Na concentrations compared to the distribution of susceptibility within the nuclei of the basal ganglia and suggest that not only susceptibility but also 23Na concentrations may be physiologically distributed in a characteristic manner.  

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Using dynamic sodium imaging to assess furosemide action in the porcine kidney
James T Grist1, Esben Søvsø Szocska Hansen2, Rasmus Stilling Tougaard2, Frank Riemer3, Christoffer Laustsen4, and Ferdia A. Gallagher5

1University of Birmingham, Birmingham, United Kingdom, 2Aarhus Unviersity, Aarhus, Denmark, 3Unviersity of Cambridge, Cambridge, United Kingdom, 4University of Aarhus, Aarhus, Denmark, 5University of Cambridge, Cambridge, United Kingdom

The ability to image sodium is believed to be a powerful tool to understand physiological processes, however have yet to be effectivity translated to clinical realistic usage.  Through the use of an efficient k-space trajectory (3D cones) we have undertaken dynamic imaging of the renal sodium distribution pre and post- a furosemide injection. This work shows a decrease in the cortico-medullary sodium gradient over time, as well as being the first renal study on a clinical system with dynamic sodium imaging. 


MRS Clinical Application

Exhibition Hall
Tuesday 9:15 - 10:15
 Spectroscopy & Non-Proton MR

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Cerebellar GABA+/Glx ratios in essential tremor patients are correlated with tremor severity
Sofie Tapper1,2, Nathanael Göransson3, Peter Lundberg1,2, Peter Zsigmond4, and Anders Tisell1,2

1Department of Radiation Physics, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Biomedical Engineering and Department of Neurosurgery, Linköping University, Linköping, Sweden, 4Department of Clinical and Experimental Medicine, and Department of Neurosurgery, Linköping University, Linköping, Sweden

The aims of this study were to investigate whether GABA+ and Glx concentrations, and the relation between them, were altered in patients with severe essential tremor (ET) compared to healthy controls, and to investigate if the GABA and Glx concentrations were associated with the tremor severity. We observed an increasing GABA+/Glx ratio with tremor severity in the ET patients. Our conclusion was that this increasing cerebellar GABA+/Glx ratio mainly was driven by the decrease in Glx rather than an increase in GABA+, which suggests that an increasing tremor severity is partly due to a disturbance in the Glx concentration.

2525
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The Neurotransmitter NAAG in Different Phases of Relapsing-Remitting Multiple Sclerosis Patients
Patrik O Wyss1,2,3, Nikolai Pfender4, Roland Martin4, Andreas Lutterotti4, and Anke Henning2,3

1Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland, 2Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland, 3Max-Planck Institute for Biological Cybernetics, Tuebingen, Germany, 4Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital and University Zurich, Zurich, Switzerland

This study explores the alterations of N-Acetyl aspartate (NAA) and the neurotransmitter N-Acetyl aspartyl glutamate (NAAG) in the cerebral normal-appearing white tissue of multiple sclerosis patients with a relapsing-remitting course. A two-dimensional J-resolved single voxel spectroscopy sequence and two-dimensional prior-knowledge fitting is used to disentangle the resonance lines of NAA and NAAG.

2526
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High intrahepatic lipid content is associated with low choline status in humans-a 1H-MRS study at 3 Tesla
Pandichelvam Veeraiah1,2, Kay H M Roumans2, Joachim E Wildberger1, Patrick Schrauwen2, Lucas Lindeboom1,2, and Vera B Schrauwen-Hinderling1,2

1Department of Radiology, Maastricht University Medical Centre, Mastricht, Netherlands, 2Nutrition and Movement Sciences, NUTRIM school for Nutrition and Translational Research in Metabolism, Maastricht, Netherlands

Non-alcoholic fatty liver (NAFL) has become a major threat to metabolic health. Animal studies have suggested that disturbances in choline metabolism may be linked to the development of NAFL. However, to date, human data on the link of choline and NAFL is scarce. The trimethylammonium (TMA) group of choline can be detected with 1H-MRS at 3.20 ppm. Here, we investigated the relationship between intrahepatic choline levels and hepatic lipid content on healthy overweight/obese subjects using 1H-MRS at 3 Tesla. Our results showed that high hepatic lipid content is associated with low choline content in the liver.

2527
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Association of hepatic histologic features with magnetic resonance spectroscopy derived hepatic fat and water T1 and T2 estimates in adults with nonalcoholic fatty liver disease
Alexandra N Schlein1, Claude Sirlin1, Yingzhen Zhang1, Guilherme Cunha1, Rohit Loomba1, and Gavin Hamilton1

1Radiology, University of California, San Diego, San Diego, CA, United States

The purpose of this study is to assess possible associations between hepatic histologic features of NAFLD and the T1 and T2 of water and fat, measured by a multi TR, multi TE 1H  MRS STEAM sequence that acquires 32 spectra for a range of TRs and TEs in a single breath-hold. In evaluation of 51 adults Water T1 showed a positive association with fibrosis. Water T1 and T2 and Fat T1 and T2 all showed associations with steatosis grade; no other statistically significant associations were observed.  This may contribute to noninvasive methods of detection and monitoring of NALFD.

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J-edited Cerebral MR Spectroscopy in Patients with Hepatic Encephalopathy
Helge Jörn Zöllner1,2, Georg Oeltzschner3,4, Markus Butz1, Markus S. Jördens5, Nur-Deniz Füllenbach5, Dieter Häussinger5, Hans-Jörg Wittsack2, and Alfons Schnitzler1

1Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany, 2Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5Department of Gastroenterology, Hepatology and Infectiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

Hepatic encephalopathy (HE) associated with elevated brain ammonia levels. The detoxification of ammonia leads to regionally selective alterations in several brain metabolites. The present study investigates these neurotransmitter changes in HE patients in the GABAergic and glutamatergic system. Using MEGA-PRESS, MR spectroscopy was performed in cerebellum, thalamus, and motor cortex. Preliminary results unravel increased GABA levels accompanied by elevated glutamine and reduced myo-Inositol in the cerebellum, but an absence of GABA level changes in the two other regions. These initial findings may lead to further explanation of cognitive and motor deficits in HE, but need to be substantiated further.

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1 H MRS Analysis of Pancreas Metabolites altered by Cachexia
Raj Kumar Sharma1, Santosh K. Bharti1, Paul T. Winnard Jr1, Yelena Mironchik1, Marie-France Penet1,2, and Zaver M. Bhujwalla1,2,3

1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

Cancer induced cachexia is a syndrome characterized by tissue wasting and weight loss. Cachexia occurs with the highest frequency and severity in pancreatic ductal adenocarcinoma (PDAC).  To further understand this syndrome, we used 1H MRS to analyze pancreas metabolites in mice with and without cachexia-inducing PDAC xenografts. We detected significant weight loss in cachectic mice. 1H MR spectra identified significant differences in amino acids, BCAA, alanine, pyruvate, phosphocholine, niacinamide and NAD in cachectic mice that provide new insights into the morbidity and mortality associated with the syndrome that may lead to novel strategies to arrest this syndrome.

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Chemical deregulation in breast tissue of women at familial high risk of breast cancer correlates with the IBIS Breast Cancer Risk Evaluator Tool using 2D COSY at 3 Tesla
Natali Naude1, Gorane Santamaria2, Graham Galloway3, Chris Foster4, Aaron Urquhart3, Thomas Gaass5, Saadallah Ramadan6, Scott Quadrelli7, Lisa Rich8, Ian Bennett7, Jessica Buck6, Peter Malycha3, and Carolyn Mountford3

1Queensland University of Technology/Translational Research Institute, Brisbane, Australia, 2Princess Alexandra Hospital/Translational Research Institute, Brisbane, Australia, 3Translational Research Institute, Brisbane, Australia, 4Translational Research Institute, Woolloongabba, Australia, 5Siemens, Brisbane, Australia, 6University of Newcastle, Newcastle, Australia, 7Princess Alexandra Hospital, Brisbane, Australia, 8Translational Research Institute/Princess Alexandra Hospital, Brisbane, Australia

Evaluation of breast tissue of women with a high familial risk of developing breast cancer using in vivo 2D COSY as part of a standard 3T breast MRI showed statistically significant alterations in the type of double bonds in fatty acyl chains compared with controls. Further, when separating the familial cohort using the IBIS risk evaluatior tool into a group above and below 20% lifetime risk, statistically significant differences in both cholesterol and metabolites were recorded.

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Neurochemical profile of the human hippocampus at 3T after traumatic brain injury
Maria Yanez Lopez1 and David Sharp1

1Medicine, Imperial College London, London, United Kingdom

The aim of this work was to investigate the metabolic profile of the hippocampus in a clinical population (moderate/severe traumatic brain injury patients in the acute phase), using an MR Spectroscopy LASER sequence at 3T. With ongoing data acquisition, preliminary results show reduced levels of total choline (tCho), metabolite reflecting membrane turnover.

2532
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Whole-brain high resolution 3D MRSI for measuring 2HG and tumor metabolism in mutant IDH glioma patients
Bernhard Strasser1, Borjan Gagoski2,3, Bijaya Thapa4, Xianqi Li4, Wolfgang Bogner5, Julia Small6, Jorg Dietrich7, Daniel P. Cahill6, Tracy T. Batchelor7, and Ovidiu C. Andronesi4

1Department of Radiology, MGH, A.A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 5Department of Radiology, Medical University of Vienna, Vienna, Austria, 6Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States, 7Department Neurology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, United States

2-Hydroxyglutarate (2HG) detection using MRSI is a very promising, but challenging technique. Although high-resolution MRSI reduces the already small SNR of 2HG, it also reduces the spectral linewidth and provides more voxels for quantification. This study compares two high-resolution spiral MRSI sequences with a low-resolution MEGA-edited sequence, and one with a short echo time for 2HG detection in brain tumor patients. Three patients and three volunteers were measured with all four sequences. The two high-resolution sequences perform better with less false-positive 2HG detection in volunteers, and a more reliable 2HG quantification in IDH-mutated tumors.

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Comparison of MEGA-PRESS and Short Echo Time PRESS on Classification of IDH Mutation Using Machine Learning at 3T
Ayhan Gursan1, Gokce Hale Hatay1, Cengiz Yakicier2, M. Necmettin Pamir3,4, Koray Ozduman3,4, Alp Dincer3,5, and Esin Ozturk-Isik1

1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Neuroradiology Research Center, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Department of Radiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey

Isocitrate dehydrogenase (IDH) mutation is common in grade II and grade III gliomas, and results in better patient prognosis IDH mutant (IDH-mut) gliomas. Magnetic resonance spectroscopy (MRS) studies indicated an increase in 2-hydroxyglutarate (2HG) and decrease in glutamate (Glu) and glutathione (GSH) as a result of IDH mutation. The goal of this study is to compare IDH mutation classification performances of short echo-time (TE) PRESS and MEGA-PRESS by using machine learning in 60 glioma patients. Highest average classification accuracy was 75% with coarse decision trees for short TE PRESS, and 74% with ensemble of bagged of trees for MEGA-PRESS.

2534
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Metabolic Markers of Disease Progression in Pediatric Diffuse Intrinsic Pontine Gliomas
Stefan Bluml1,2, Brenda Kurland3, Marvin D Nelson1, Benita Tamrazi1, Rafael Ceschin4, Ian F Pollack5, and Ashok Panigrahy4

1Radiology, Children's Hospital Los Angeles/USC, Los Angeles, CA, United States, 2Rudi Schulte Research Institute, Santa Barbara, CA, United States, 3Biostatistics, UPMC Children's Hopital of Pittsburgh, Pittsburgh, PA, United States, 4Radiology, UPMC Children's Hopital of Pittsburgh, Pittsburgh, PA, United States, 5Neurosurgery, UPMC Children's Hopital of Pittsburgh, Pittsburgh, PA, United States

Diffuse intrinsic pontine gliomas (DIPG) are inoperable and highly resistant to chemo- and radiation therapy. DIPG carry the worst prognosis among pediatric brain tumors with progress in the development of therapies compromised by low patient numbers and unavailability of tissue samples to characterize disease status. In this work we present evidence, that non-invasive MR spectroscopy can provide robust early indicators that can assess the effectiveness (or ineffectiveness) of potential new therapeutic approach at an early stage and accelerate the completion of clinical trials in small cohorts of patients.

2535
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Evaluation of the elevated signal at 3.55 ppm in 1H MRS spectra of certain glioma patients
David Hundertmark1, Benjamin Bender1, and Uwe Klose1

1Diagnostic and Interventional Neuroradiology, University Hospital Tuebingen, Germany, Tuebingen, Germany

In MR-spectroscopy of gliomas, sometimes an elevation of the signal at 3.55 ppm at an echo time of 135 ms is found, which can be interpreted as myo-inositol or as glycine. Due to coupling effects, the signal of inositol should be reduced at an echo time of 90 ms, while the glycine signal should be larger than at TE 135 ms. In measurements of glioma patients, which show an enhanced signal at 3.55 ppm at TE 135ms, we found a decreased signal at TE 90. Therefore, we saw no indication of elevated glycine concentration in gliomas.

2536
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Neurometabolic consequences of perinatal HIV infection and exposure are still observed in children at 11 years
Amy Graham1, Martha Holmes1, Francesca Little2, Els Dobbels3, Mark Cotton3, Barbara Laughton3, Andre van der Kouwe4,5, Ernesta Meintjes1,6, and Frances Robertson1,6

1Department of Human Biology, University of Cape Town, Cape Town, South Africa, 2Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa, 3Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa, 4A.A. Martinos Centre for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States, 6Cape Universities Body Imaging Center, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa

HIV establishes reservoirs within the brain, causing damage despite individuals adhering to antiretroviral therapy. The long-term consequences of perinatal HIV infection and early treatment in children remain unclear. Proton magnetic resonance spectroscopy was carried out to assess the effects of HIV on neurodevelopment, at a metabolic level, comparing HIV-positive, HIV-exposed-uninfected (HEU) and HIV-unexposed children at 11 years old. Absolute metabolite concentrations were compared between these groups, through linear regression analysis. Elevated choline levels within two regions of interest suggest putative inflammation in HIV-positive children. A reduction of N-acetyl-acetate in a white-matter region of HIV-positive and HEU children implies axonal damage.

2537
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MR Spectroscopic Changes in Infants Exposed to Prenatal Opioids: A Pilot Study
Caroline Rae1, Danielle Christmas2, Ian Wright3, John Feller2, Mohamed Abdel-Latif4, Sara Clews5, Janet Falconer2, and Julee Oei2

1Neuroscience Research Australia, Randwick, Australia, 2UNSW, Kensington, Australia, 3University of Wollongong, Wollongong, Australia, 4ANU, Canbera, Australia, 5ANU, Canberra, Australia

Proton spectra were obtained from the left caudate, left hippocampus and subventricular zone of the brains of one week old babies born to mothers who were opioid users. The study suggests that decreased brain volumes after prenatal opioid-exposure are associated with hippocampal spectral abnormalities with increased severity related to multiple opioid use.

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Altered biochemical profiles in fetuses with congenital heart disease
Subechhya Pradhan1,2,3, Kushal Kapse3, Gilbert Vezina1, Mary Donofrio4, Jessica Lynn Quistorff3, Catherine Lopez3, Nicole Simard3, and Catherine Limperopoulos1,2,3

1Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC, United States, 2Pediatrics, George Washington Univeristy, Bethesda, MD, United States, 3Developing Brain Research Laboratory, Children's National Health System, Washington, DC, United States, 4Fetal Heart Program, Children's National Health System, Washington, MD, United States

Brain injury is a major complication in infants with complex congenital heart disease (CHD). There is growing evidence that impaired brain development has its origins in the fetal period. We prospectively characterized in vivo fetal brain metabolic profiles in 307 fetuses (210 health fetuses and 97 with CHD).  Findings from measurements of metabolite concentrations of NAA, Cr, and Cho increased with advancing GA in healthy and CHD fetuses. In CHD fetuses, tNAA/tCh ratios were significantly lower while lactate concentrations were significantly higher compared to healthy fetuses, suggesting early-life disturbances in fetal brain biochemistry.

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Accelerated Five-Dimensional Echo-Planar Correlated Spectroscopic Imaging to assess Lipids and Metabolite differences between Type-2 Diabetic and Healthy Calf Muscle
Andres Saucedo1, Manoj Kumar Sarma1, Christine Darwin2, Sumit Kumar1, Kavya Umachandran1, Rajakumar Nagarajan3, and Michael Albert Thomas1

1Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 3Institute for Applied Life Sciences, University of Massachusetts at Amherst, Amherst, MA, United States

Obesity-related diseases such as Type 2 Diabetes have become increasingly widespread. This condition can be characterized in part by changes in the fat composition of muscle, specifically in the relative concentrations of extra-myocellular (EMCL) and intra-myocellular (IMCL) lipids. Although 1D MRS techniques have been applied to assess skeletal muscle metabolite composition, they are hindered by lipid contamination from EMCL and spectral overlap which can complicate quantitation and differentiation from IMCL. 2D MRS improves spectral dispersion, allowing clear separation of both EMCL and IMCL and determination of the unsaturation index of muscle lipids. In this study, we apply a 5D (3D spatial + 2 spectral) echo-planer correlated spectroscopic imaging (EP-COSI) technique to assess the lipid and metabolic differences within the calf muscle among three groups of subjects – diabetic, age-matched healthy, and young healthy controls.

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Metabolic abnormalities in cingulate gyrus in HIV infection by 3D rosette spectroscopic imaging
Victor E. Yushmanov1, Jullie W. Pan1, Claudiu V. Schirda1, Hoby P. Hetherington1, Jeffry R. Alger2, Peter B. Barker3, Todd B. Parrish4, Ned Sacktor3, Michal Povazan3, and James T. Becker1

1University of Pittsburgh, Pittsburgh, PA, United States, 2University of California, Los Angeles, Los Angeles, CA, United States, 3Johns Hopkins University, Baltimore, MD, United States, 4Northwestern University, Chicago, IL, United States

The purpose of this study was to assess metabolic abnormalities in HIV infection by MRSI covering brain cortex and parts of striatum. Sixteen HIV-seropositive subjects (younger and older than 60) and age-matched 30 seronegative controls were evaluated using a fast rosette 3D MRSI sequence at 3T, segmentation and parcellation into 13 brain regions, and fGM regression statistics to evaluate abnormalities. MI/NAA, Cr/NAA, Ch/NAA and Ch/Cr increase in anterior and posterior cingulate as a function of HIV serostatus and age. Fast MRSI enables the detection of subtle metabolic abnormalities in HIV infection at clinically acceptable scan times (<10 min) at 3T. 

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Metabolite markers of glutamatergic activity and neuro-inflammation in the superior temporal gyrus in patients with schizophrenia.
Sai Krishna Merugumala1, M. A. Niznikiewicz2, E. Del Re2, K. Spencer2, H. Liao1, P. G. Nestor3, R. W. McCarley3, N. Bolo4, and A. P. Lin1

1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Laboratory of Neuroscience, Veterans Affairs Boston Healthcare System, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Beth Isreal Deaconess Medical Center, Boston, MA, United States

Many studies have shown that the superior temporal gyrus undergoes many changes in schizophrenia.  Magnetic resonance spectroscopy studies of the brain have also shown brain metabolite levels are altered in schizophrenia however the superior temporal gyrus has not been examined in detail.  The aim of this study was to compare brain metabolite levels in patients with schizophrenia and controls as well as examine their correlation with electrophysiology measures.

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The Potential Impact of Multiparametric MRS in the Early Detection of Neurodegeneration in Multiple Sclerosis
Assaf Tal1 and Ivan Kirov2

1Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2Radiology, New York University, New York, NY, United States

Clinical proton MRS conventionally measures metabolites' concentrations, but neglects to acquire their relaxation constants, despite the fact that these are known to vary in many pathologies. Using computer simulations and literature values for n-acetyl-aspartate, we show that incorporating this additional information can greatly facilitate the detection of neurodegeneration in early stage multiple sclerosis (MS), increasing the area under the corresponding receiver operating characteristic curves from 0.68 to 0.91. These results  strongly motivate the need for developing robust sequences for clinical multiparametric magnetic resonance spectroscopy .


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Mapping of Regional Distributions of Brain Metabolites in Healthy Young Adults using Three-dimensional Echoplanar Spectroscopic Imaging
Eric Petersen1, David Roalf1, Ruben Gur1, Raquel Gur1, Andrew Crow1, Ravinder Reddy2, Sumei Wang2, Suyash Mohan2, Andrew Maudsley3, and Sanjeev Chawla2

1Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 3Radiology, University of Miami, Miami, FL, United States

To determine the regional distributions of metabolites from different lobar regions of brain in a cohort of healthy individuals in late adolescence and early adulthood, a total of 19 subjects (mean age=22) underwent 3D-echoplanar spectroscopic imaging. The parametric maps of N-acetylaspartate (NAA), creatine (tCr), choline (tCho), myoinositol (mI) and glutamate/glutamine (Glx) were generated using sophisticated post-processing steps. These maps were normalized to MNI atlas.  Significant spatial variations in metabolite ratios of NAA/tCr, tCho/tCr, mI/tCr and Glx/tCr were observed across different lobar regions of brain. These findings will undergird future efforts to understand metabolite distributions in neurodevelopmental disorders.

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7T 1H-MRS of the anterior cingulate in patients with psychosis spectrum and mood symptoms
Eric Petersen1, Sanjeev Chawla2, Andrew Crow1, Theodore Satterthwaite1, Raquel E Gur1, Ruben C Gur1, Ravi Prakash Reddy Nanga2, Hari Hariharan2, Mark Elliott2, Ravinder Reddy2, and David R Roalf1

1Psychiatry, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, University of Pennsylvania, Philadelphia, PA, United States

Data from 12 typically developing (TD), 10 clinical high risk for psychosis (CHR), 6 psychosis (PSY) and 4 mood disorder (MD) participants who underwent 1HMRS at 7T. Short TE single voxel spectra (SVS) were obtained using a custom-modified PRESS sequence from the anterior cingulate gyrus. Data quality was high and tissue contribution within the acquisition voxel was similar across diagnostic groups. NAA, Creatine, Choline, GSH and Glu were significantly lower in PSY as compared to TD. CHR showed an intermediate pattern for all brain neurometabolites, except GSH, which was elevated as compared to TD. MD patients, in general, showed higher concentrations of NAA, Cho, GSH and Glu as compared to TD.

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Metabolic Alterations in the left dorsolateral prefrontal cortex in Sleep-Related Hypermotor Epilepsy: A Proton Magnetic Resonance Spectroscopy Study
Weina Wang1, Xiaorui Su1, Simin Zhang1, Qiang Yue2, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Radiology, West China Hospital of Sichuan University, Chengdu, China

Sleep-Related Hypermotor Epilepsy (SHE) is characterized by bizarre motor behavior during sleep. The aim of this present study was to investigate metabolic alterations in the bilateral DLPFC using 1H-MRS to understand the underlying pathophysiology of SHE. Thirty-nine subjects with SHE and 60 controls were studied. The left DLPFC NAA and mI concentrations of SHE patients were significantly lower than controls. There was an asymmetry of NAA in the control group. These findings may present executive function decline in SHE and further verify the left frontal lobe is more vulnerable in right-handed SHE patients.

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Longitudinal cerebral metabolic changes in delayed neurologic sequelae after carbon monoxide intoxication using 1H MR spectroscopy.
Hui-ru Tsai1, Jung-Hsiang Chang1, Ping-Hong Lai2,3, Jie-Yuan Li4,5, and Cheng-Wen Ko1

1Dept. of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, 2Dept. of Radiology, Veterans General Hospital-Kaohsiung, Kaohsiung, Taiwan, 3School of Medicine, National Yang-Ming University, Taipei, Taiwan, 4Dept. of Neurology, E-Da Hospital, Kaohsiung, Taiwan, 5School of Medicine, I-Shou University, Kaohsiung, Taiwan

In this study, we explored the metabolic changes in WM and GM of patients with and without DNS using 1H MRS longitudinally at onset, 1, 3, and 9 months after CO intoxication. Decreased tNAA/Cr and increased Cho/Cr were observed in WM of patients with DNS as literatures have reported. The longitudinal change of Glx/Cr and Ins/Cr in WM and GM of patients with DNS implies themselves that may provide valuable information for monitoring DNS development.

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Evidence for increasing hippocampal metabolite concentrations during healthy aging
Leo Sporn1,2, Erin L MacMillan3,4,5, Ruiyang Ge6, Kyle Greenway7, Cornelia Laule1,2,8, and Fidel Vila-Rodriguez6

1Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 3Philips Healthcare, Markham, ON, Canada, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5Mechatronic Systems Engineering, Simon Fraser University, Vancouver, BC, Canada, 6Psychiatry, Non-Invasive Neurostimulation Therapies, University of British Columbia, Vancouver, BC, Canada, 7Psychiatry, McGill University, Montreal, QC, Canada, 8Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

Previous magnetic resonance spectroscopy (MRS) studies have concluded that hippocampal metabolite concentrations remain stable during healthy adult aging. However, these studies used short repetition times (TR ≤ 2s), which leads to heavy T1-weighting. We used a longer TR (4s) to reduce T1-weighting and found hippocampal metabolite concentrations increase with age for N-acetyl-aspartate, creatine, choline and myo-inositol. Our findings illustrate the importance of using sufficiently long TR in MRS to avoid T1-relaxation effects influencing the measurement of metabolite concentrations.

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Effects of Transcranial Direct Current Stimulation on Metabolite Concentrations in Children
Chidera Nwaroh1,2,3,4, Lauran Cole2,3,5,6, Adrianna Giuffre2,3,5,6, Helen Carlson2,6,7, Frank P MacMaster2,3,4,7,8,9,10, Adam Kirton2,3,6,7, and Ashley D Harris1,2,3,4

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Alberta Children's Hospital Research Institute (ACHRI), Calgary, AB, Canada, 3Hotchkiss Brain Institute, Calgary, AB, Canada, 4Child and Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada, 5Department of Neuroscience, University of Calgary, Calgary, AB, Canada, 6Calgary Pediatric Stroke Program, Alberta Children's Hospital, Calgary, AB, Canada, 7Department of Pediatrics, University of Calgary, Calgary, AB, Canada, 8Department of Psychiatry, University of Calgary, Calgary, AB, Canada, 9The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada, 10Strategic Clinical Network for Addictions and Mental Health, Calgary, AB, Canada

Transcranial direct current stimulation (tDCS) is a form of non-invasive brain stimulation that safely modulates brain activity. Several studies have shown that tDCS of the motor cortex facilitates motor learning and plasticity but there is little information on the underlying mechanisms. This analysis of metabolite changes in response to 1mA tDCS using typical PRESS and MEGA-PRESS is important in developing a complete understanding of the effects of stimulation. In this pediatric study, we did not detect the same GABA and glutamate changes in response to tDCS that have been seen in the adult literature. 


Flow in the Brain

Exhibition Hall
Tuesday 9:15 - 10:15
 Neuro

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CSF Flow and Aging: An Early Marker of Pathology?
Arun Venkataraman1, Rashid Deane2, and Jianhui Zhong1

1Center for Advanced Brain Imaging and Neurophysiology, University of Rochester, Rochester, NY, United States, 2Neuroscience, University of Rochester Medical Center, Rochester, NY, United States

Phase Contrast-Magnetic resonance imaging (PC-MRI) provides detailed information on flow of spins, and has been applied to blood and cerebrospinal fluid (CSF) flow. In the field of CSF imaging, PC-MRI is mostly used as a clinical tool to look for frank CSF changes. However, subtle CSF changes are thought to occur in neurovascular pathologies, as well as neurodegenerative disorders such as AD. In addition, it has been shown that CSF flow may change during the aging process. In this abstract, we seek to select the optimal imaging parameters to investigate aging-related CSF changes.

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Visualization of irregular CSF flow by dynamic iMSDE SSFP using acceleration- selective motion - sensitized gradient (AS-MSG)
Tomohiko Horie1,2, Nao Kajihara1, Haruo Saito2, Shuhei Shibukawa1, Susumu Takano1, Natsuo Konta1, Makoto Obara3, Tetsuo Ogino3, Tetsu Niwa4, Kagayaki Kuroda5, and Mitsunori Matsumae6

1Department of Radiology, Tokai University Hospital, Isehara, Japan, 2Division of Diagnostic Image Analysis Graduate School of Medicine, Tohoku University, Sendai, Japan, 3Healthcare, Philips Electronics Japan Ltd., Shinagawa, Japan, 4Department of Radiology, Tokai University School of Medicine, Isehara, Japan, 5Course of Electrical and Electronic Engineering, Graduate School of Engineering, Tokai University, Hiratsuka, Japan, 6Department of Neurosurgery, Tokai University School of Medicine, Isehara, Japan

We reported a technique to visualize the irregular flow of cerebrospinal fluid (CSF) by using dynamic improved motion-sensitized driven-equilibrium steady-state free precession (dynamic iMSDE SSFP). The purpose of this study was to investigate the characteristics of intracranial CSF visualization with dynamic SSFP using acceleration selective motion sensitized gradient (AS-MSG). The dynamic SSFP using AS-MSG distinguished acceleration flow in CSF from constant flow. This technique is suggested to contribute to the diagnosis of various diseases in the CSF space.

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Microgravity-induced changes in pituitary morphology, brain volumetry, and cerebral spinal fluid hydrodynamics: relationship to spaceflight associated neuro-ocular syndrome
Larry A. Kramer1, Khader M. Hasan1, Michael B. Stenger2, Ashot Sargsyan2, and Brandon R. Macias2

1Diagnostic Imaging, UTSHC-Houston, Houston, TX, United States, 2NASA, Houston, TX, United States

A longitudinal study of astronauts with long duration exposure to microgravity showed intracranial volumetric expansion which did not return to baseline after a 1 year of  post-flight recovery. These findings were associated with increased cerebral spinal fluid pulsatility through the cerebral aqueduct suggesting diminished intracranial compliance. Additionally, there was development of pituitary gland deformity similar to that seen in idiopathic intracranial hypertension implicating the presence of elevated intracranial pressure during spaceflight. 

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Evaluation of Intracranial Pressure-Regulation by MRI-measured Cerebrospinal Fluid Pulsation
Masatomo Uehara1, Tosiaki Miyati1, Naoki Ohno1, Riho Okamoto1, Moemi Tachimoto1, Mitsuhito Mase2, Hiroshi Furusho1, Satoshi Kobayashi1, and Toshifumi Gabata1

1Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan, 2Department of Neurosurgery, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan

We conducted this study to determine the cerebrospinal fluid pulsation in the supine and sitting positions using multiposture MRI. The stroke volume of the aqueduct is not affected by intracranial pressure change. Cerebrospinal fluid pulsation measurements to evaluate the intracranial pressure-regulation function should be taken at the boundary between cranial and spinal cavities rather than in the aqueduct.

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Low b-value diffusion weighted imaging to evaluate cerebrospinal fluid dynamics
Toshiaki Taoka1, Shinji Naganawa1, Hisashi Kawai1, Toshiki Nakane1, and Katsutoshi Murata2

1Radiology, Nagoya University, Nagoya, Japan, 2Siemens Japan K.K., Tokyo, Japan

We evaluated the signal intensity of the CSF on low b-value (b=500 s/mm2) diffusion weighted images (DWI) in cases with ventricular dilatation versus controls by a scoring method. Although low b-value DWI cannot quantify the absolute flow speed, it may be possible to evaluate the distribution of altered CSF dynamics within the cranium in the cases of ventricular dilatation. We also evaluated the characteristic signal void findings adjacent to the septum pellucidum in the cases with ventricular dilatation, which was speculated to be due to a standing wave in a thinned septum pellucidum.

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Automated CSF Detection for Post-hemorrhagic Hydrocephalus in Preterm Infants Using 3D U-Net
Li Zhao1, Xue Feng2, Craig Meyer2, Kushal Kapse1, Matthew T. Whitehead1, Adre J. du Plessis3, and Catherine Limperopoulos1

1Diagnostic Imaging and Radiology, Childrens National Medical Center, Washington, DC, United States, 2Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 3Fetal Medicine, Childrens National Medical Center, Washington, DC, United States

Post-hemorrhagic hydrocephalus is a prevalent and severe neurological complication in very premature infants.  Converging evidence suggests that increased ventricular size is an important and potentially modifiable risk factor for adverse neurological outcomes. MRI measures of CSF volume often rely on manual measurements to quantify ventricular size because automatic neonatal brain segmentation methods often fail in the setting of severe brain injury. In this pilot study, we proposed and validated a deep convolutional neural network method, 3D U-Net, to automatically identify the lateral ventricular system and the external cerebrospinal fluid regions. The proposed method showed superior accuracy in a preliminary cohort of 19 scans of very preterm infants compared to a conventional method. 

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Assessment of Hemodynamic and Hydrodynamic alternations in Spontaneous Intracranial Hypotension by using MR-based Intracranial Pressure Method
JyhWen Chai1, Yi-Hsin Tsai2, Yi-Ying Wu1,3, Yi-Jhe Huang1, Hung-Chieh Chen1, and Clayton Chi-Chang Clayton Chen1,4

1Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, 2Department of Education, Taichung Veterans General Hospital, Taichung, Taiwan, 3Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Sciences and Technology, Taichung City, Taiwan, 4Department of Biomedical Engineering, Hung Kuang University, Taichung City, Taiwan

Epidural venous dilatation is commonly seen in patients with spontaneous intracranial hypotension, and its presence often indicates a distinctly altered cerebrospinal hemodynamic/CSF dynamic. With the MR-ICP technique, significant statistical differences were found in various hemodynamic and CSF dynamic parameters. The result suggests that EVD is a representative feature of hemodynamic/CSF-dynamic change in SIH, and also highlights the potential of MR-ICP as a reliable method of assessment for SIH.

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MRI assessment of glymphatic function in the non-human primate brain
Ian Tagge1, Steven Kohama2, Theodore Hobbs3, Jeffrey Pollock4, Thierno Madjou Bah5, Jeffrey Iliff5, and William Rooney1

1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, United States, 3Surgery, Oregon National Primate Research Center, Beaverton, OR, United States, 4Diagnostic Radiology, Oregon Health & Science University, Portland, OR, United States, 5Anesthesiology, Oregon Health & Science University, Portland, OR, United States

The astrocyte mediated exchange of cerebrospinal fluid and interstitial fluid comprise the glymphatic system, a physiology that facilitates waste removal in the brain parenchyma. Impaired solute and waste clearance may contribute to neurodegenerative conditions, and may also be associated with age. Here, we present preliminary measurements of glymphatic function in healthy adult and aged rhesus macaque brain via intrathecal injection and DCE-MRI. We demonstrate that kinetics of GBCA distribution in the CNS occur on timescales amenable to study using DCE-MRI techniques. Our preliminary results indicate that impairment in glymphatic physiology occurs with age in the rhesus macaque.

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Enhanced perivascular space contrast using T1-T2 fusion and adaptive spatial filtering
Farshid Sepehrband1, Giuseppe Barisano1,2,3, Nasim Sheikh-Bahaei3, Meng Law1,4, and Arthur W Toga1

1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Neuroscience graduate program, University of Southern California, Los Angeles, CA, United States, 3Department of Radiology, University of Southern California, Los Angeles, CA, United States, 4Department of Radiology, Alfred Health, Melbourne, Australia

Imaging the perivascular space (PVS), also known as Virchow-Robin space, has shown to be of significant clinical value. Its role in glymphatic system1 and reported pathological changes of the PVS in neurological disorders2–10 highlight the need for methodological development specific to this compartment. Here we propose a fusion framework that enhances PVS contrast, allowing robust clinical rating. The Enhanced PVS Contrast (EPC) was achieved by combining T1- and T2-weighted images that were adaptively filtered to remove non-structural high frequency spatial noise.

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Assessment of Cerebral Hemodynamics Change of Hypertension using Multi-TI Arterial Spin-Labeling
Qiuju Fan1, Zhen Yang1, Nan Yu1, Qi Yang1, Yong Yu1, Yue Li1, and Shaoyu Wang2

1Shaanxi University of Chinese Medicine, Xianyang, China, 2MR senior scientific marketing specialist, Siemens Healthineers, Xianyang, China

In our study, we evaluate the diagnostic value of mTI-ASL as a noninvasive method  to detect subtle hemodynamic abnormalities in hypertension at different stage. 

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Study of the cerebral blood flow metabolism in patients with Parkinson’s disease using arterial spin labeling MRI
Hong-Ying Zhang1 and Weiqiang Dou2

1Radiology, Northen Jiangsu people's hospital, Yangzhou, China, 2GE Healthcare, MR Research, Beijing, China

There are still debates on the alterations of subcortical metabolism in Parkinson’s disease. We performed 3D pseudo-continuous pulse ASL on PD and control groups. The absolute cerebral blood flow (CBF) values and relative CBF (rCBF) in subcortical regions were automatically extracted and calculated. We found widespread decreased absolute CBF in PD patients. However, the subcortical rCBF increased significantly. We conclude that widespread blood hypoperfusion in PD brain is absolute, and hyperperfusion in the subcortical brain regions is only relative to the whole brain level of patients themselves.

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Using Perfusion Weighted Imaging to Aid in Drawing Prominent Veins on Quantitative Susceptibility Mapping
Miller Fawaz1, Min-Gyu Park2, Luo Yu3, and E. Mark Haacke1

1The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 2Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea, Republic of, 3Radiology Department, Shanghai Fourth People's Hospital, Shanghai, China

Current literature references Asymmetrically Prominent Cortical Veins as a valid marker, but identification is user dependent. We aim to quantify APCV using PWI, greatly reducing the reliance on observer input. This method is a stepping stone for automatic APCV segmentation and has the potential to play a role in establishing a reliable identifier for ischemic penumbra from SWI data.

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Correlation between internal carotid artery flow and circle of Willis anatomy
Te-Chang Wu1 and Jeon Hor Chen2

1Department of Radiology, Chi-Mei Medical Center, Tainan, Taiwan, 22. Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan

Measurement of proximal cerebral inflow volume and individual cerebral angio-architecture are crucial for patient-specific analysis of hemodynamic effects of cerebrovascular disease. However, the detail of bilateral ICA flow in individuals of complete but asymmetric COW is lacking. This retrospective study included total 210 healthy adult for delineation of the relationship between detailed COW variations and bilateral ICA flow volume in healthy adults.  Furthermore, the correlation of ICA diameter to ICA flow in the setting of circle of Willis variants was also proposed.

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Perivascular spaces in healthy young subjects
Giuseppe Barisano1,2,3, Farshid Sepehrband1, Nasim Sheikh-Bahaei3, Meng Law1,3,4, and Arthur W. Toga1

1Laboratory of Neuroimaging, University of Southern California, Los Angeles, CA, United States, 2Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States, 3Department of Radiology, Keck Hospital of University of Southern California, Los Angeles, CA, United States, 4Department of Radiology, Alfred Health, Melbourne, Australia

Enlargement of perivascular spaces has been associated with a number of diseases. However, morphological features of perivascular spaces in healthy subjects and their clinical role are still not completely understood. We analyzed on MRI perivascular spaces in a large sample of healthy young subjects. Our results showed a high inter-subjects variability of perivascular spaces. Twins presented similar amount of perivascular spaces. Perivascular spaces in basal ganglia were significantly correlated with subjects’ height, brain volume, and brainstem volume. These findings are relevant for all future studies investigating the role of perivascular spaces.

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Computational assessment of enlarged perivascular spaces on brain magnetic resonance images in Vascular Dementia patients.
Martha Singh1, Anuja Pradhan2, Mustafa Salimeen2, Habib Tafawa2, Xianjun Li2, Miaomiao Wang2, Congcong Liu2, Guanyu Yang3, Qu Qiumin4, and Jian Yang2,5

1Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 2The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 3Xi’an AccuRad Network and technology Co. Ltd, Xi'an, China, 4Department of neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 5Department of Biomedical Engineering, School of Life Science and Technology, Xi’an, China, Xi'an, China

Enlarged perivascular spaces (EPVS) are common in Vascular Dementia (VaD) patients, associated with aging, inflammation, etc. Many studies address EPVS as it is related to count and volume but very few on the density using 3T MRI. Our aim in this study is to describe an effective and user-friendly computational method to aid in the perivascular spaces segmentation to yield EPVS count, volume and density in VaD patients. EPVS count, volume and density are significantly greater than in the control group (P<0.05). The results suggest that computational assessment of EPVS can further aid in an early diagnostic of VaD.

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Dynamic Contrast-Enhanced Imaging Reveals Region-Specific Blood-Brain Barrier Damage in Bipolar Depression
Lyn Kamintsky1, Kathleen A Cairns2, Ronel Veksler3, Chris Bowen1, Steven D Beyea1, Alon Friedman1, and Cynthia Calkin1

1Dalhousie University, Halifax, NS, Canada, 2Nova Scotia Health Authority, Halifax, NS, Canada, 3Ben-Gurion University, Beer Sheva, Israel

This study addresses the need for mechanism-based understanding and diagnosis of bipolar depression. Using dynamic contrast-enhanced MRI we identified extensive blood-brain barrier (BBB) leakage in 28% of bipolar patients (and zero controls). All bipolar patients with extensive BBB leakage also had insulin resistance and worse metabolic, psychiatric and cognitive symptoms. We found depression to be associated with region-specific BBB leakage, with the nucleus accumbens best predicting depression severity. Our findings highlight BBB damage as a mechanism contributing to the dysfunction of depression-associated brain regions, and suggest that insulin resistance increases the risk of extensive BBB leakage.

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Chronic anemic patients have impaired cerebral oxygen delivery using Pseudo Continuous Arterial Spin Labeling MRI
Yaqiong Chai1,2, Adam Michael Bush3, Chau Vu2, Natasha Lepore1, Thomas Coates4, and John Wood5

1Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Biomedical Engineering Department, University of Southern California, Los Angeles, CA, United States, 3Radiology, Stanford University, Palo Alto, CA, United States, 4Hemotology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 5Cardiology, Children's Hospital Los Angeles, los angeles, CA, United States

We quantified and compared cerebral blood flow (CBF) and oxygen delivery in patients with thalassemia intermedia and other chronic anemic patients and healthy controls, using arterial spin labeling MRI. Anemic patients exhibited elevated CBF globally and in grey matter (GM). While global and GM O2 delivery was preserved in anemic patients, white matter (WM) O2 delivery was 20% lower in this cohort compared to healthy controls. Age was the strongest predictor for both CBF and O2 delivery, but the mechanisms of decreased WM O2 delivery needs further study, given the inadequate neovascularization in response to chronic hypoxia and other factors.

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Sodium T2* Heterogeneity of Cerebrospinal Fluid in Healthy Brains and Neurological Disorders
Yongxian Qian1, Tiejun Zhao2, Kathik Lakshmanan1, Timothy Shepherd1, Yulin Ge1, Yvonne W. Lui1, and Fernando E. Boada1

1Radiology, New York University, New York, NY, United States, 2Siemens Healthineers USA, New York, NY, United States

The literature reports a wide variance in CSF T2* values (46-64ms). This variance may suggest T2* heterogeneity of CSF. Here we explore the possibility of CSF T2* heterogeneity among healthy and neurologically-disordered brains.

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The influence of draining veins on apparent grey matter volume changes caused by hypercapnia
Julia Huck1, Christopher J. Steele2,3, Anna-Thekla Jäger3, Audrey P. Fan4, Sophia Grahl3, Christine L. Tardif5,6, Uta Schneider3, Arno Villringer3, Pierre-Louis Bazin3,7, and Claudine J. Gauthier1,8

1Physics, Concordia University, Montreal, QC, Canada, 2Psychology, Concordia University, Montreal, QC, Canada, 3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Stanford University, Stanford, CA, United States, 5Biomedical Engineering, McGill University, Montreal, QC, Canada, 6Montreal Neurological Institute, Montreal, QC, Canada, 7Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands, 8Montreal Heart Institute, Montreal, QC, Canada

Past studies have shown that T1-weighted measures of grey matter volume (GMV) can be biased by differences in blood volume. Here, we investigate the vascular compartments associated with this bias by quantifying the spatial relationship between t-values for the apparent GMV increase observed during hypercapnia and the location of draining veins. Draining veins were identified using the VENAT atlas. Overall, the results of this analysis demonstrate that while proximity to veins is related to the presence of higher t-values (larger apparent GMV change during hypercapnia), large veins themselves are unlikely to be the main cause of this bias; suggesting that smaller veins or arteries may have a larger role in the observed bias.

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Hyperoxia Challenge in Healthy and Anemic Subjects using BOLD MRI
Chau Vu1, Julie Coloigner2, and John C. Wood3

1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2CIBORG lab, Division of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 3Division of Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

This study explores the brain’s response to 100% oxygen inhalation in anemic subjects using BOLD MRI. Hyperoxic challenge has previously been used to identify brain regions with increased oxygen extraction fraction from inadequate perfusion.  After controlling for changes in peripheral oxygen saturation, hyperoxic BOLD response was not significantly different between sickle cell disease patients, non-sickle anemic patients and healthy controls. Therefore, our results suggest that chronically anemic patients do not have increased oxygen extraction fraction from inadequate resting oxygen delivery under resting conditions.

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Imaging Cerebellum Venous Oxygenation: a T2-based approach
SHENGWEN DENG1, Dengrong Jiang2, Juan Antonio Vasquez, 1, Hanzhang Lu2, and Peter T Fox1

1Research Imaging Institute, University of Texas Health at San Antonio, San Antonio, TX, United States, 2Johns Hopkins University, Baltimore, MD, United States

Cerebellum has been used for normalization in fMRI and blood flow studies, and yet little for its oxygen metabolism. This abstract aims to explore T2-Relaxation-Under-Phase-Contrast (TRUPC) MRI to reliably image cerebellar venous oxygenation. We try to explore the regional small vein Yv and it adjacent sinus signals.   

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Extracranial space in healthy infants: an age-related study based on MRI anatomical images
XIAOHU WANG1, LEI ZHANG2, ZHUANQIN REN2, XIAOCHENG WEI3, and QING FAN2

1Baoji Center Hospital, baoji, China, 2Baoji Center Hospital, Baoji, China, 3GE Healthcare, Beijing, China

To date, there is no consensus exists on diagnostic criteria for pathological external hydrocephalus in infants and young children. In this study, extracerebral space of 212 healthy subjects were measured on different anatomical slices and their age correlation were analyzed. The results demonstrated that extra cerebral space measured both on axial and coronal plane features similar age-related change. The results of this study may be a valuable reference in diagnosis of external hydrocephalus.

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Quantitative Measurement of Glymphatic Flow in Man with Contrast-Enhanced MRI
Christopher G Filippi1,2, Jared M Steinklein1,2, Leah E Waldman1,2, Xiangzhi Zhou1,2, George Pinder3, and Richard Watts4,5

1Radiology, Lenox Hill Hospital, New York, NY, United States, 2Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, United States, 3Department of Civil and Environmental Engineering, University of Vermont, Burlington, VT, United States, 4Department of Psychology, Yale University, New Haven, CT, United States, 5Department Radiology, University of Vermont, Burlington, VT, United States

Impairment in glial lymphatic "glymphatic" flow is hypothesized to be an etiologic factor in the development of Alzheimer’s disease (AD). We report a quantitative study of glymphatic flow in man, combining intrathecal administration of gadobutrol (macrocylic gadolinium-based contrast agent) with serial T1-mapping to produce contrast concentration maps up to 3 days post-injection. This demonstrates proof-of-concept feasibility and offers data on the pharmacokinetics of glymhatic flow.

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Could Diffusion MRI monitor the brain glymphatic system? A proof-of-concept study using an aquaporin-4 channel inhibitor pharmacological challenge
Clement S. Debacker1, Tomokazu Tsurugizawa 1, Boucif Djemai1, Luisa Ciobanu1, and Denis Le Bihan1

1NeuroSpin, CEA, Gif-sur-Yvette, France

Dysfunction of the Glymphatic System (GS), which clears brain tissue from waste, has been proposed as a mechanism to several brain pathologies, including the Alzheimer’s disease. GS has been investigated with preclinical imaging through the invasive intracisternal injection of Gadolinium. In this study, we have show, using a pharmacological mouse brain model, that diffusion MRI, through the Sindex approach could reveal noninvasively changes in brain cortex tissue following injection of an Aquaporin 4 channel inhibitor known to interfere with the GS via the inhibition of astrocyte swelling.

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Intra-Voxel Incoherent Motion imaging as a potential marker of parenchymal glymphatic flow
Swati Rane1, Elaine Peskind2,3, Rebecca Hendrickson2,3, Murray Raskind2,3, and Jalal B Andre1

1Radiology, University of Washington Medical Center, Seattle, WA, United States, 2Northwest Network Mental Illness Research, Education, and Clinical Center, VA Puget Sound, Seattle, WA, United States, 3Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle, WA, United States

We tested the applicability of IVIM to detect increased glymphatic flow using the pseudo-diffusion coefficient (D*). Using known effects of prazosin, to increase interstitial fluid volume and glymphatic flow, we showed that D* increased significantly in 6 individuals before and 9-12 weeks after prazosin. This increase was greater than conventional diffusion. It was also larger than the inter-scan variability of D*, measured in 3 individuals 10 weeks apart.


Parkinson's Disease

Exhibition Hall
Tuesday 9:15 - 10:15
 Neuro

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MRI Evidence for the Ascending Spread Hypothesis of Parkinson’s Disease
Jamie C Blair1, Matthew J Barrett2, James Patrie3, and T Jason Druzgal1

1Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 2Neurology, University of Virginia, Charlottesville, VA, United States, 3Public Health Services, University of Virginia, Charlottesville, VA, United States

Ascending spread models of Parkinson’s disease neurodegeneration remain controversial despite being the dominant model of disease progression in the literature. This study conducted an in vivo evaluation of the ascending spread hypothesis for PD in early and late-stage Parkinson’s disease using measurements of regional grey matter density (GMD) obtained from T1-weighted MRI. Results of this study provide in vivo evidence that regions implicated in stages three and four of the ascending spread model are degenerating ahead of regions implicated in stages five and six. These results further support the proposed ascending pattern of pathological spread in PD.

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Cortical thinning pattern according to the differential nigrosome involvement in patients with Parkinson’s disease
Eung Yeop Kim1,2, Na-Young Shin2, Uicheul Yoon3, and Young Hee Sung4

1Department of Radiology, Gachon University Gil Medical Center, Incheon, Korea, Republic of, 2Department of Radiology, The Catholic University of Korea, Seoul, Korea, Republic of, 3Department of Biomedical Engineering, College ofHealth and Medical Science, Catholic University of Daegu, Gyeongsan-si, Gyeongbuk, Korea, Republic of, 4Department of Neurology, Gachon University Gil Medical Center, Incheon, Korea, Republic of

The dopaminergic neurons within the substantia nigra pars compacta form five clusters (nigrosomes 1-5 [N1-N5]), and N1 has been considered to be the most affected, followed by N2, N4, N3, and N5 in Parkinson’s disease (PD). Recently, N4 was defined on 3T MRI and found to be involved in late-stage PD compared to N1, suggesting sequential involvement from N1 to N4. We found wider cortical thinning in patients with N4 loss compared to those with N1 loss, similar to the cortical thinning propagation pattern seen with PD progression, which supports the sequential progression hypothesis.

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Olfactory bulb atrophy and smell deficits in H&Y stage-1 Parkinson’s disease
Rachel S Stanford1, Lauren Spreen1, Thyagarajan Subramanian2, Qing X Yang1, and Jianli Wang1

1Radiology, Penn State University, Hershey, PA, United States, 2Neurology, Penn State University, Hershey, PA, United States

The olfactory bulb (OB) is highly affected by Lewy bodies, the hallmark pathology of Parkinson's disease (PD). Hyposmia has been reported to occur in the majority of early-stage PD patients. We investigated whether there is olfactory bulb atrophy in early-stage PD patients. Our data demonstrated significantly reduced olfactory bulb volumes as well as lower psychophysical smell test scores in H&Y stage-1 PD patients compared to healthy controls.

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Meta-analysis of the diagnostic effect size of neuromelanin MRI in Parkinson’s disease
Abdul Halim Sapuan1, Saadnah Naidu1, Stefan Schwarz1, Yue Xing1, and Dorothee P Auer1

1Department of Radiological Sciences, University of Nottingham, Nottingham, United Kingdom

The clinical diagnosis and monitoring of Parkinson’s disease (PD) remain challenging which prompted substantial research efforts to develop pathophysiological meaningful biomarkers. Depigmentation of the substantia nigra (SN), pars compacta, is a pathological hallmark of PD that can be detected by neuromelanin-sensitive MRI (NM-MRI). We undertook a meta-analysis on the pooled diagnostic accuracy of NM-MRI in 14 case-control studies including 755 subjects (427 PD). We show a consistent decrease of SN NM signal in PD vs controls independent of the acquisition and analysis methods with a pooled standardized mean difference of SMD=1.06, 95% CI, 0.84, 1.28, p<0.00001. In conclusion, this meta-analysis supports NM-MRI metrics as a diagnostic biomarker of PD.

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Utility of Quantitative Susceptibility Mapping & Diffusion Kurtosis Imaging in the Diagnosis of Early Idiopathic Parkinson’s Disease
Septian Hartono1, Samantha Tan2, Ann Chu Ning1, Soo Lee Lim3, Tong San Koh2,4, Ming-Ching Wen1, Huihua Li3, Fiona Setiawan1, Samuel Ng1, Nicole Chia1, Saifeng Liu5, Mark Haacke6, Eng King Tan1,2, Louis Tan1,2, and Ling Ling Chan2,3

1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Graduate Medical School, Singapore, Singapore, 3Singapore General Hospital, Singapore, Singapore, 4National Cancer Centre Singapore, Singapore, Singapore, 5MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 6Wayne State University, Detroit, MI, United States

Parkinson's disease (PD) is characterised by dopaminergic neuronal loss and iron overload in the nigrostriatum. Diffusion Kurtosis Imaging (DKI) and Quantitative Susceptibility Mapping (QSM) allow quantification of alterations in tissue microstructure based on water diffusion and iron deposition respectively. Our case-control study in PD using DKI revealed greater cellular loss in the lateral SN and complex microstructural degradation in the putamen. QSM showed spatially variant iron deposition (Δχ) in the grey nuclei congruent with histochemical reports, and multivariate analysis showed that putaminal and lateral nigral Δχ significantly predicted UPDRS. Significant correlations between Δχ and DKI indices were found in the putamen.

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Longitudinal Changes in Cerebral Blood Flow Calculated by Arterial Spin Labeling MRI in Parkinson’s Disease
Dilek Betul Arslan1, Sevim Cengiz1, Kardelen Eryurek2, Ozan Genc1, Ani Kicik2, Emel Erdogdu2,3, Zeynep Tufekcioglu4, Basar Bilgic4, Hasmet Hanagasi4, Aziz Mufit Ulug1, Ibrahim Hakan Gurvit4, Tamer Demiralp2,5, and Esin Ozturk-Isik1

1Biomedical Engineering Institute, Bogazici University, Istanbul, Turkey, 2Hulusi Behcet Life Sciences Research Center, Istanbul University, Istanbul, Turkey, 3Institute of Psychology and Cognition Research, University of Bremen, Bremen, Germany, 4Department of Neurology, Istanbul University, Istanbul, Turkey, 5Department of Physiology, Istanbul University, Istanbul, Turkey

The aim of this study is to monitor perfusion changes over one and a half years in Parkinson’s disease with mild cognitive impairment (PD-MCI). Cerebral blood flow (CBF) maps were created for baseline and follow-up scans by fitting a kinetic curve model for each pixel of arterial spin labeling MR images. The CBF maps were registered to MNI152 brain atlas, and perfusion changes were assessed at 119 distinct brain regions. The CBF of PD-MCI patients decreased at occipital fusiform gyrus, right occipital fusiform gyrus, anterior part of left supramarginal gyrus, and anterior part of right middle temporal gyrus over time.

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Studying the effect of medication status on resting state network metrics in Parkinson’s disease
Saadnah Naidu1,2, Yue Lily Xing1,2, and Dorothee Auer2,3

1Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Nottingham NIHR Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom

Current drug therapies for Parkinson’s disease (PD) offer symptom control without the capability for disease modification. Furthermore, unpredictable on/off fluctuations and dyskinesias present challenges in titrating appropriate doses. Our study aims to utilise resting state functional MRI (fMRI) to determine the effect of PD medication, as preliminary step to future work to address these limitations. 

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Prognosis of body function in Parkinson’s disease using diffusion magnetic resonance imaging
Chih-Chien Tsai1, Po-Yuan Chen2, Sung-han Lin2, Shu-Hang Ng3, Yao-Liang Chen4, Chin-Song Lu5, Jur-Shan Cheng6, Yi-Hsin Weng5, Wey-Yil Lin7, Yi-Ming Wu3, and Jiun-Jie Wang2

1Healthy Aging Research Center, Chang Gung University, TaoYuan, Taiwan, 2Department of Medical Imaging and Radiological Sciences, Chang Gung University, TaoYuan, Taiwan, 3Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taiwan, 4Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung, Taiwan, 5Neuroscience Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan, 6Clinical Informatics and Medical Statistics Research Center, Chang Gung University, TaoYuan, Taiwan, 7Department of Neurology, Landseed Hospital, TaoYuan, Taiwan

Parkinson’s disease (PD) is a common progressive neurodegenerative disorder characterized by resting tremor, bradykinesia, restricted mobility, and postural instability. PD has a progressive course and is associated with increased mortality, with physical disability and non-motor symptoms exerting a significant negative impact on quality of life. Robust early prediction of clinical outcomes in Parkinson’s disease would be paramount for implementing appropriate management interventions. The predictive power varied according to the clinical measures used and was highest in the prediction of UPDRS. This finding was further confirmed by using bootstrap approach and leave-one-out cross-validation analysis.

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Analysis of changes in brain structure in patients with Parkinson's disease and their correlation with the Hoehn-Yahr stage using the MPRAGE sequence
Chunyan Zhang1, Ruichen Zhao1, Jinxia Zhu2, Tobias Kober3, Chen Chen1, Hong Lu4, Hongcan Zhu4, Bing Xue4, Hong Liang4, and Jingliang Cheng1

1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare, Ltd., Beijing, China, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

In this study, the volume changes of brain structure in Parkinson's disease (PD) patients were analyzed. We found extensive structural brain changes in PD patients, and most of these changes were correlated with the Hoehn-Yahr stage. The results showed that volume changes in some brain regions may be a potential imaging marker for early diagnosis of PD, and the MPRAGE sequence may be a suitable and quick method to provide a reference for clinicians to diagnose PD.

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Arteriovenous Structure and Blood Flow Abnormalities in Parkinson’s Disease
Chunyan Zhang1, Bo Wu2, Xiao Wang1, Chen Chen1, Ruichen Zhao1, Hong Lu3, Hongcan Zhu3, Bing Xue3, Hong Liang3, Sean Sethi4, E. Mark Haacke2,4, and Jingliang Cheng1

1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Wayne State University, Detroit, MI, United States, 3Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 4Magnetic Resonance Innovation INC, Detroit, MI, United States

Few researchers have paid attention to the vascular supply and venous outflow in Parkinson’s disease (PD). In this work, we evaluated arterial inflow and venous outflow and looked for the presence of abnormal venous structure. We found that there was a significant correlation of reduced arterial flow with reduced internal jugular vein (IJV) flow. We also found there were a large number of PD patients with no or little flow in the left IJV compared to healthy control group. These results suggest that abnormal flow could be one factor in the development of or progression of PD in some patients. 

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Voxel-Based Meta-Analysis of Mutant α-Synuclein transgenic Marmoset using Multiparametric MRI
Mai Mizumura1, Fumiko Seki2,3, Junichi Hata2, Yawara Haga1, Marin Nishio3, Hideyuki Okano2, and Akira Furukawa4

1Center for Brain Science, RIKEN, Wako, Japan, 2Keio University School of Medicine, Tokyo, Japan, 3Central Institute for Experimental Animals, Kanagawa, Japan, 4Tokyo Metropolitan University Graduate School, Tokyo, Japan

In this study, we evaluated the characteristics of the brain in a genetically modified marmoset model of Parkinson’s disease. Various contrast images were acquired using magnetic resonance imaging (MRI), and the whole brain underwent explorative investigation with each contrast. For each image, statistical evaluation was performed using SPM. Diffusion tensor MRI showed significance differences in the thalamus, while magnetization transfer ratio images showed a significant difference in the nigral striatum. The findings suggest that the marmoset is useful as a model animal to study human diseases.

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Differentiating Parkinson’s disease patients from healthy controls through high iron content deposition in the substantia nigra
Kiarash Ghassaban1, Naying He2, Sean Kumar Sethi3, Pei Huang4, Shengdi Chen4, Fuhua Yan2, and Ewart Mark Haacke3

1Department of Radiology, School of Medicine, Wayne State University, Detroit, MI, United States, 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China, 3Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 4Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

In this work, 25 Parkinson’s disease patients and 24 healthy controls (HC) were scanned in order to quantify brain iron content in eight major deep gray matter structures. In addition to comparing global iron deposition, a novel threshold-based method was used to assess regional high iron (RII) in these nuclei. Among all the structures, the substantia nigra (SN) was the only one showing significantly higher iron content in PD patients compared to that of the HC cohort with the regional analysis revealing more prominent results. There are two populations of PD patients, those that do not change iron content in SN and those that do. For the abnormally high SN iron content group, there was a significantly higher UPDRS-III than the group showing normal iron content.

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Classification of Parkinson’s disease based on multi-parametric data derived from MR Fingerprinting measurements
Thomas Amthor1, Peter Koken1, Mariya Doneva1, Vera Catharina Keil2, Stilyana Peteva Bakoeva2, Alina Jurcoane2,3, Wolfgang Block2, Ullrich Wüllner4,5, Burkhard Mädler6, and Elke Hattingen2,3

1Philips Research Europe, Hamburg, Germany, 2Department of Radiology, University Hospital Bonn, Bonn, Germany, 3Institute for Neuroradiology, University Hospital Frankfurt/Main, Frankfurt, Germany, 4Department of Neurology, University Hospital Bonn, Bonn, Germany, 5German Centre for neurodegenerative disease research (DZNE), Bonn, Germany, 6Philips Healthcare, Bonn, Germany

We investigated the potential of multi-parametric MR Fingerprinting measurements for the classification of Parkinson’s disease. For each measured quantity (T1, T2, proton density) and each segmented brain region, several statistical parameters were determined and used to train a Random Forest classification algorithm. An AUC of 0.92 was achieved for distinguishing Parkinson patients from healthy control subjects.

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Free-Water Imaging Improves the Evaluation of White and Gray-Matter in Early Parkinson’s Disease
Christina Andica1, Koji Kamagata1, Taku Hatano2, Yuki Takenaka1,3, Asami Saito1, Mana Kuramochi1,3, Wataru Uchida1,3, Akifumi Hagiwara1,4, Takashi Ogawa2, Haruka Takeshige-Amano2, Masaaki Hori1, Nobutaka Hattori2, and Shigeki Aoki1

1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan, 3Department of Radiological Sciences, Tokyo Metropolitan University, Graduate School of Human Health Sciences, Tokyo, Japan, 4Department of Radiology, The University of Tokyo, Graduate School of Medicine, Tokyo, Japan

We applied bi-tensor diffusion model to evaluate the microstructural changes of white (WM) and gray matter (GM) in patients with early Parkinson’s disease (PDs). Our results demonstrated that the bi-tensor diffusion model could be used to disentangle neuroinflammation and axonal degeneration in early PDs with more precise estimations of localized microstructural changes compared to the single-tensor model. Our findings also suggest that microstructural changes in early PD may be preceded by neuroinflammation and followed by axonal degeneration, with WM changes preceding GM changes. Finally, the bi-tensor model also enabled to show possible compensatory mechanisms in PD occurring in the cerebellum. 

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Linked alterations in microstructural morphology of white matter in patients with Parkinson’s disease: A multimodal magnetic resonance imaging study
Koji Kamagata1,2, Kouhei Kamiya3, Yuya Saito4, Taku Hatano5, Christina Andica1, Tomoko Maekawa1,3, Shohei Fujita1,3, Asami Saito6, Takashi Ogawa5, Genko Oyama5, Haruka Takeshige-Amano5, Yasushi Shimo5, Akifumi Hagiwara1,3, Masaaki Hori1, Nobutaka Hattori5, and Shigeki Aoki1

1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne & Melbourne Health, Parkville, Australia, 3Department of Radiology, the University of Tokyo, Tokyo, Japan, 4Department of Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan, 5Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 6Juntendo University Graduate School of Medicine, Tokyo, Japan

To identify relationships between Parkinson’s disease (PD) severity and microstructural changes in white matter (WM), we applied a multimodal data-fusion method known as linked independent component analysis (LICA) to a set of diffusion magnetic resonance (MR) and myelin-sensitive imaging data. LICA explained data variance with high sensitivity to PD severity, revealing widespread coordinated decreases in intracellular volume fraction, fractional anisotropy, and myelin volume fraction with increases in radial diffusivity. Our results show coordinated microstructural alterations in WM with disease severity and PD progression.

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Atlas based Diffusion Abnormalities in Substantia Nigra in Parkinson's Disease
Apoorva Safai1, Shweta Prasad2,3, Jitender Saini4, Pramod Pal2, and Madhura Ingalhalikar1

1Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India, 33Department of Clinical Neurosciences, National Institute of Mental Health and Neurosciences, Pune, India, 44Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neuro Sciences, Bangalore, India

Parkinson’s disease (PD) is characterized by neuronal loss of dopaminergic neurons in the substantia nigra (SN).  This study aims to gain deeper insights into the abnormalities in SN by evaluating the diffusion metrics of the SN in a large cohort of patients with PD. To precisely delineate the SN, neuromelanin sensitive MRI images were obtained from a set of healthy controls and were used to create a probabilistic atlas of the SN. Using this atlas, we observed significantly higher radial and mean diffusivity of bilateral SN in patients with PD suggesting microstructural abnormalities that could potentially serve as bio-markers for PD.

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Acupuncture Relieve Pain in Parkinson’s Disease Through Modulating Pain Matrix
Sung-han Lin1, Shao-Wen Yu2, Yu‐Chieh Huang3, Yih-Ru Wu4, and Jiun-Jie Wang1

1Medical Imaging and Radiology Science, Chang Gung University, TaoYuan, Taiwan, 2Department of acupuncture, Chang Gung Memorial Hospital, TaoYuan, Taiwan, 3Medical Imaging and Intervention, Chang Gung Memorial Hospital, TaoYuan, Taiwan, 4Neurology, Chang Gung Memorial Hospital, TaoYuan, Taiwan

Patients with Parkinson’s Disease may suffer from different pain for years, including aching and burning from muscles, skeleton, or even throughout their body. In the current study, we provide that acupuncture could relieve such specific pain in PD patients through modulating regions related to the pain matrix in brain, especially correlated with primary somatosensory cortex and middle temporal pole. This could be an effective and safe analgesic tool that would relieve patients’ suffering.

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Analysis of Structural Connectivity using Certain Nuclei as Seeds in Patients with Parkinson’s Disease
Haining Wei1, Zhangxuan Hu1, Yuhui Xiong1, Le He1, Yan Tong2, Yu Ma3, Hua Guo1, and Xuesong Li1,4

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Neuromodulation Center, Tsinghua University YuQuan Hospital, Beijing, China, 4School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

In this study, we aim to evaluate the relationships between fiber connectivity starting from specific nucleus regions to the whole brain and the Unified Parkinson’s Disease Rating Scale (UPDRS)-III scores in patients with Parkinson's disease. The results showed that the structural connectivity to the whole brain starting from bilateral internal global pallidus and caudate nucleus has significant negative correlations with the UPDRS-III scores. In the contrary, no significant correlations was found for the network starting from the putamen and external global pallidus. The strong negative correlation implies that these specific nuclei may play significant roles in the severity of Parkinson's disease. This finding is of great importance for further clinical research.

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Temporal Atrophy Predicts the Deterioration of Cognition in Multiple Domains: a Longitudinal Clinical Study in Parkinson’s Disease
Cheng Zhou1, Xiaojun Guan1, Tao Guo1, and Minming Zhang1

1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, HangZhou, China

To specify the critical structural alterations of cognitive deterioration in Parkinson’s disease (PD) and explored the underlying mechanism of structural changes. We combined cross-sectional and longitudinal VBM analyses to explore the structural topologies between PD patient who convert to mild cognitive impairment (PD converter). The relationships between dopamine transporter (DAT), CSF proteins and structural alterations were assessed. PD converters showed progressive temporal atrophy associated with multiple cognitive domains. DAT results were significantly associated with temporal atrophy. In conclusion, temporal lobe is a crucial node in modulating cognitive status in multi-domains. Dopamine deficiency may contribute to cognition-related temporal atrophy.

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Functional Brain Connectome and Mild Cognitive Impairment in Early Stage Parkinson Disease
Xueling Suo1, Du Lei1, Nannan Li2, Wenbin Li1, Lan Cheng2, Meiyun Wang3, Rong Peng2, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Neurology, West China Hospital of Sichuan University, Chengdu, China, 3Department of Radiology, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, Zhengzhou, China

To use graph theory approaches and resting-state functional magnetic resonance imaging (MRI) to explore the brain functional network in patients with early stage Parkinson's disease (PD) and mild cognitive impairment (MCI). The whole-brain functional network was constructed by thresholding the Pearson correlation matrices of 90 brain regions. The results showed a less small-worldization characterized by decreased global integration and decreased local segregation in PD patients relative to healthy controls (HC). On the basis of these between-group difference in global and nodal properties, PD patients with MCI showed the lowest properties values, followed by PD patients with normal cognition and HC.

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Altered cerebellar functional connectivity in Parkinson’s disease
Jason Langley1, Daniel E Huddleston2, and Xiaoping Hu3

1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Department of Neurology, Emory University, Atlanta, GA, United States, 3Department of Bioengineering, University of California Riverside, Riverside, CA, United States

Parkinson’s disease is a progressive, neurodegenerative disorder characterized by asymmetrical onset of motor symptoms such as bradykinesia, rigidity, and tremor. Mounting evidence suggests that the cerebellum plays a major role in the pathophysiology of PD. Prior imaging studies have found altered cerebellar activation during motor execution and motor learning, suggesting that altered activation in the cerebellum may reflect Parkinsonian-related impairment. Here, we use resting-state function MRI (fMRI) to ascertain connectivity changes in the cerebellum from Parkinson's disease found reduced connectivity in lobule V of the cerebellum as well as reduced connectivity between dentate nucleus and the cerebellar cortex.

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Disruption of cortical-basal ganglia motor network affects cognitive function in Parkinson’s disease: a high angular resolution diffusion imaging study
Chenfei Ye1, Zehong Yan1, Tao Wu2, and Ting Ma3

1Electronics and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China, 2Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing, China, 3Harbin Institute of Technology at Shenzhen, Shenzhen, China

Whether clinical phenotype in Parkinson's disease (PD) is affected by cortical-basal ganglia motor circuit (CBG) dysfunction remains to be investigated. In this study, we utilized a high angular resolution diffusion imaging (HARDI) technique to investigate association between white matter structural connectivity within CBG and cognitive function related to PD. We found that the structural connectivity between the M1 cortical area and other regions within the CBG circuit decreased for those PD patients with severe cognitive symptoms, indicating that the less effective information processing between cortical and subcortical regions in CBG network could lead to cognitive deficits in PD patients.

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Influence of Analytic Techniques on Comparing Diffusion Derived Measurements in Early Stage Parkinson’s Disease
Virendra R Mishra1, Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Dietmar Cordes1, and Ryan R Walsh2

1Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2Barrow Neurological Institute, Phoenix, AZ, United States

Using a well-characterized multi-site diffusion MRI (dMRI) dataset of early Parkinson’s disease (PD), this study suggests that DTI-TK and TBSS perform at the same accuracy of detection if skeletonwise analysis are conducted. However, DTI-TK is more sensitive than TBSS. Further, results from voxelwise or ROI-based analysis should be reported with caution as this study found a significant smoothing effect to detect differences in scalar dMRI-derived measures. Overall, our findings suggest that the conclusions for the hypothesis being tested are strongly dependent upon the choice of analytic techniques as different analysis techniques can lead to different conclusions.  

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Towards identification of neuroanatomical correlates of neuropsychological scores in Parkinson’s disease patients, with and without, memory impairment
Virendra R Mishra1, Karthik R Sreenivasan1, Ece Bayram2, Sarah J Banks3, Jason Longhurst2, Zhengshi Yang1, Xiaowei Zhuang1, Dietmar Cordes1, Aaron Ritter2, Jessica Caldwell2, and Brent Bluett4

1Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 3University of California, San Diego, San Diego, CA, United States, 4Department of Neurology and Neurosciences Stanford Movement Disorders Center (SMDC), Stanford University, Stanford, CA, United States

With a well-characterized dataset of Parkinson’s disease (PD) participants, with and without memory impairment, this study shows that there is a distinct structural network organization between PD with mild cognitive impairment (PD-MCI) and without MCI(PD-nMCI). This study further shows that while there are no discernible differences in scalar diffusion-MRI derived measures, fractional anisotropy in PD-nMCI is negatively associated with trail making test-A. Our study demonstrates the feasibility towards identifying neuroanatomical correlates of neuropsychological scores that will not only aid in our understanding of the underlying neural correlates of cognitive impairment in PD, as well as differentiating PD-MCI and PD-nMCI in an objective and reproducible manner.

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Altered Claustral Functional Connectivity in Parkinson’s Disease Patients with Mild Cognitive Impairment.
Karthik Sreenivasan1, Ece Bayram1, Sarah Banks2, Jason Longhurst1, Xiaowei Zhuang1, Zhengshi Yang1, Dietmar Cordes1, Aaron Ritter1, Jessica Caldwell1, Brent Bluett3, and Virendra Mishra1

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of California, San Diego, San Diego, CA, United States, 3Stanford University, Stanford, CA, United States

Studies have shown α-synuclein pathology in the claustrum of Parkinson’s disease (PD) patients and its correlation with the onset of cognitive dysfunction in PD. In this study we use resting state fMRI to examine claustral functional connectivity network changes in PD patients with mild cognitive impairment. Our results show increased claustral-cortical connectivity in the PD-MCI group, which may indicate additional effort is required in the PD-MCI group to maintain network integration. The increased load of claustrum is somewhat mitigated by medication in PD patients with cognitive impairment.


Treasure Chest of Neuro Gems

Exhibition Hall
Tuesday 9:15 - 10:15
 Neuro

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Investigation of brain plasticity during prolonged Braille learning in sighted subjects: a longitudinal diffusion MRI (dMRI) study
Malwina Molendowska1, Bartosz Kossowski1, Jacek Matuszewski1, Łukasz Bola1,2, Marcin Szwed2, Katarzyna Jednoróg3, and Artur Marchewka1

1Laboratory of Brain Imaging, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland, 2Department of Psychology, Jagiellonian University, Cracow, Poland, 3Laboratory of Psychophysiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland

Diffusion MRI can be used to evaluate the brain plasticity processes that occur during new skills acquisition. Commonly, one of the tasks used to investigate neuroplasticity of both blind and sighted subjects is Braille reading. In this work, we analyze DTI metrics based on 5 time points data and investigate the dynamics of the brain reorganization processes. In particular, our preliminary results depict neuronal brain changes within main WM tracts associated with somatosensory area development.  

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Increased Intracortical R1 in the Motor Cortex of Exercising Older Adults
Christopher Dennis Rowley1,2, Ralf Deichmann3, Tobias Engeroff4, Elke Hattingen5, Rainer Hellweg6, Ulrich Pilatus5, Eszter Füzéki4, Sina Gerten4, Lutz Vogt4, Winfried Banzer4, Johannes Pantel7, Johannes Fleckenstein4, Silke Matura7,8, and Nicholas A Bock9

1Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2Neuroscience, McMaster University, Hamilton, ON, Canada, 3Brain Imaging Center Frankfurt/M., Frankfurt, Germany, 4Department of Sports Medicine, Institute of Sports Sciences, Goethe University, Frankfurt, Germany, 5Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt, Germany, 6Department of Psychiatry and Psychotherapy, Charité University Medicine Berlin, Berlin, Germany, 7Institute of General Practice, Goethe University, Frankfurt, Germany, 8Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany, 9Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada

Exercise is known to be beneficial for brain health and performance; however, it is not known if changes in cortical microstructure underlie this effect. To investigate this, R1 maps acquired on cognitively healthy older adults (n=24, 65-90 years old) were analyzed before and after a 12-week exercise intervention. R1 prolongation indicating increased myelin levels were significant in the right (p=0.033) and trending in the left (p=0.052) leg motor regions with respect to a control group (n=22). ΔR1 correlated with aerobic cycling performance improvements (left: p=0.012, right: p=0.011). This study demonstrates that exercise promotes myelination in cortical motor regions.

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Investigating premanifest synucleinopathy: structural connectome of brainstem nuclei in REM sleep behavior disorder
Maria Guadalupe Garcia Gomar1,2, Laura Lewis1,2, Lawrence Wald1,2, Bruce Rosen1,2, Aleksandar Videnovic2,3, and Marta Bianciardi1,2

1Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Neurology, Massachusetts General Hospital, Boston, MA, United States

REM-sleep-behavior-disorder (RBD) is characterized by the absence of muscle-atonia during REM-sleep. RBD is strongly associated with presymptomatic-manifestations of neurodegenerative-synucleinopathies. Thus, it allows the investigation of early/premanifest neurodegenerative-stages when treatment can be most effective in delaying the development of full-blown-disease. Changes in brainstem-nuclei-connectivity are expected in RBD/premanifest-synucleinopathy based on animal- and ex-vivo-human-studies. Yet, their investigation in living-humans is understudied. Through high-spatial-resolution 7Tesla-MRI and a recently-developed probabilistic-brainstem-nuclei-atlas, we built a brainstem-based structural-connectome in living RBD-patients and age-matched controls. Interestingly, in RBD-patients we detected structural-connectivity-changes within the brainstem, with the striatum and cerebellum in line with the pathophysiology of RBD in animal-models.

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Changes in GABA associated with a sham-controlled transcranial direct current stimulation language intervention for primary progressive aphasia.
Ashley D Harris1,2, Zeyi Wang3, Bronte Ficek4, Kim Webster4,5, Richard AE Edden6,7, and Kyrana Tsapkini4

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Children’s Hospital Research Institute and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 4Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States, 5Department of Otolaryngology Head & Neck Surgery, Johns Hopkins School of Medicine, Baltimore, MD, United States, 6Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, United States, 7F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Primary Progressive Aphasia is a neurodegenerative disorder primarily affecting language. We applied GABA-edited MRS to examine GABA changes with anodal tDCS to augment language-therapy for patients with PPA. With tDCS targeting the left inferior frontal gyus, we see a decrease in IFG GABA following the intervention. No changes were observed in the sham group. While all patients showed improvements with language therapy, those receiving tDCS showed greater improvements that were maintained at 2 months follow-up. This work supports the use of tDCS to augment language therapy in PPA.

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Structural MRI abnormalities and the immune system are correlated with neuroinflammation in Neuropsychiatric Systemic Lupus Erythematosus: a retrospective study on a large and well-defined patient cohort.
Francesca Inglese1, Ilse Kant2, Ece Ercan3, Mark van Buchem1, Margreet Steup-Beekman4, Tom Huizinga4, Cesar Magro-Checa4, Itamar Ronen1, and Jeroen de Bresser1

1Department of Radiology, LUMC, Leiden, Netherlands, 2Department of Radiology, UMCU, Utrecht, Netherlands, 3Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 4Department of Rheumatology, LUMC, Leiden, Netherlands

Neuropsychiatric Systemic Lupus Erythematosus (NP-SLE) is associated with cerebral abnormalities, but their relation to the inflammatory and ischemic clinical phenotypes is unknown. We performed a retrospective structural brain study within a large, clinically well-defined patient cohort of NP-SLE patients (inflammatory and ischemic) and non-NP-SLE patients. Patients with inflammatory, but not ischemic, NP-SLE showed lower grey matter and white matter volumes, and higher White Matter Hyperintensity volumes compared to non-NP-SLE patients. Brain abnormalities were also associated with the complement system. In conclusion, only inflammatory NP-SLE showed more severe structural brain abnormalities, and these were associated with a specific complement component.

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Elucidating the influence of healthy aging on white matter microstructure: A comparison of different diffusion MRI models
Salman Shahid1, Qixiang Lin1, Antoine Hone-Blanchet1, Allan Levey1, James Lah1, Bruce Crosson1,2, and Deqiang Qiu2,3

1Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, GA, United States, 3Joint Department of BioMedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

To understand microstructural changes associated with healthy aging, multi-shell diffusion-weighted images were acquired in a group of 71 cognitively normal volunteers (31-young, 40-old). Signal representation and tissue specific models were used to assess relationship between age and WM microstructural changes. TBSS was performed for group-comparison. Results showed that FA and NODDI-based indices exhibited highest degree of sensitivity with overlap in much wider regions. The results also showed regional differences among FA and ODI. The influence of DKI was more regionalized and complemented by FA. The study demonstrated the sensitivity of higher-order models to the age-related changes in tissue microstructure. 

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MRI Detection of Amyloid Related Imaging Abnormalities (ARIA) in a Non-Human Primate Model of Sporadic Cerebral Amyloid Angiography at 7-Tesla
Dina Ramadane1,2, Thomas Genovese1, Lori Hill3, Charles Kingsley4, Lawrence Williams3, Thomas Wisniewski1, Henrieta Scholtzova1, and Youssef Zaim Wadghiri1,2

1Department of Radiology, Bernard & Irene Schwartz Center for Biomedical Imaging & Center for Advanced Imaging Innovation & Research (CAI2R), New York, NY, United States, 2Preclinical Imaging Laboratory, Division of Advanced Research Technologies NYU Langone Health & NYU School of Medicine, New York, NY, United States, 3University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Here we describe a non-invasive brain imaging method studying the pathogenesis and long-term effects of ARIA (amyloid-related imaging abnormalities) in an aged squirrel monkey (Saimiri Boliviensis), a non-human primate model of naturally occurring cerebral amyloid angiopathy. We investigated both ARIA-E, characterized by vasogenic edema, and ARIA-H, characterized by MRI evidence of hemosiderin deposits as potential biomarkers to use in a MRI methodology to monitor newly developed AD treatments. 

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Dynamics of white matter tract covariance across lifespan assessed with diffusion spectrum imaging
Yi-Xi Peng1, Chang-Le Chen2, Yung-Chin Hsu3, and Wen-Yih Isaac Tseng2,4,5

1Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, 2Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan, 3Acroviz Technology, Inc., Taipei, Taiwan, 4Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, 5Molecular Imaging Center, National Taiwan University College of Medicine, Taipei, Taiwan

In this study, we calculated tract covariance to describe the phenomenon of white matter differentiation and de-differentiation across lifespan, using diffusion spectrum imaging (DSI) and whole brain tract-based automatic analysis (TBAA) techniques. Differentiation was found to be highest in the 2nd decade and de-differentiation started to emerge at 3rd decade and peaked at 6th decade.

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Investigation of hypoxia after brain injury using a hypoxia-binding T1 contrast agent GdDO3NI
Babak Moghadas1, Vimala N Bharadwaj1, Sarah E. Stabenfeldt1, and Vikram D Kodibagkar1

1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States

In this study we have used the hypoxia-targeted MR contrast agent GdDO3NI, (a nitroimidazole-based T1 MRI contrast agent) to image the development of hypoxia in the rodent brain after traumatic brain injury (TBI). Our results indicate a statistically significant ~ 50% signal enhancement over baseline in the injury region using GdDO3NI compared to baseline values (~ 0%) observed with non-specific Gadoteridol (as control) at 3hours post injection. This study further demonstrates the utility of GdDO3NI in imaging tissue hypoxia and applicability to traumatic brain injury.

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Pituitary R2 values at 3T to assess risk of iron-mediated hypogonadal hypogonadism.
Andrew L Cheng1, Thomas D Coates1, and John C Wood2

1Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Pediatrics and Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

Pituitary R2 at 1.5 Tesla has been validated as a sensitive marker of pituitary siderosis and risk of clinical hypogonadism. We cross-validated pituitary R2 measurements at 3T and 1.5T in 26 patients with iron overload syndromes. Pituitary R2 scaled linearly across field strength with a relative enhancement of 42%, consistent with previous liver R2 cross-field validations.  When 3T pituitary values were transformed into equivalent 1.5T R2 values, the resulting Z-score estimates were unbiased with native 1.5T R2 estimates. Thus it is not necessary to acquire normative R2 data at 3 Tesla in order to interpret 3T pituitary R2 values.

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Thalamus in chronic low back pain: vertex-based morphometry and connectivity-based thalamic white-matter studies
Huiling Peng1, Jason Craggs2, Kelly Boland2, and Carmen Cirstea2

1Psychology, Temple University, Philadelphia, PA, United States, 2University of Missouri-Columbia, Columbia, MO, United States

Chronic low back pain (CLBP) is now considered a central nervous system disease. Thalamus is a key relay station for processing and transmission of nociceptive information to the cerebral cortex. We used vertex-based morphometry and connectivity-based diffusion tractography to test the hypothesis that the CLBP is associated with altered thalamic shape and altered white matter integrity of the thalamic projections to cortical regions in frontal and parietal lobes. Compare to controls, CLBP exhibited significant surface depression in left thalamus and lower fractional anisotropy in left thalamic projections to the posterior parietal cortex. This may represent a degenerative pain-related process.

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HIV alters brain activation during semantic memory processing demands
Joanna Poweska1, Anna Rita Egbert2, Marta Sobańska1, Agnieszka Pluta1,3, Tomasz Wolak3, Łukasz Okruszek1, Natalia Gawron1, Bogna Szymańska-Kotwica4, Ewa Firląg-Burkacka4, Andrzej Horban4, Przemysław Bieńkowski5, Halina Sienkiewicz-Jarosz6, Anna Ścińska-Bieńkowska6, Robert Bornstein7, Stephen Rao8, and Emilia Łojek1

1University of Warsaw, Warsaw, Poland, 2University of British Columbia, Vancouver, BC, Canada, 3Institute of Physiology and Pathology of Hearing, World Hearing Center, Kajetany, Nadarzyn, Poland, 4The Central Hospital for Infectious Diseases, Warsaw, Poland, 5Medical University of Warsaw, Warsaw, Poland, 6The Institute of Psychiatry and Neurology, Warsaw, Poland, 7The Ohio State University, Columbus, OH, United States, 8The Cleveland Clinic, Cleveland, OH, United States

Memory and executive dysfunctions burden HIV patients even in the highly active antiretroviral treatment (HAART) era. The neurobiological correlates of these cognitive symptoms remain unclear limiting development of targeted treatment options. Functional magnetic resonance imaging (fMRI) is a promising route to estimate neural signature of HIV-related neurocognitive decline. We examined brain activity in HIV+/HAART+ vs. healthy individuals during execution of semantic memory task. Results show that famous names induce lower activation in left caudate, right thalamus and left middle occipital gyrus in HIV+ vs. healthy group, despite lack of behavioral differences. Such hypoactivation suggests brain functional reorganization in HIV+/HAART+ patients.

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A Method for Evaluating Whole Brain Health of the Aging Brain: Assessment of Multiple MRI Detectable Brain Changes using the Brain Atrophy and Lesion Index (BALI)
Lukas A. Grajauskas1, Tory Frizzell2, Hui Guo3, Caressa Liu2, Ryan C.N. D'Arcy2, and Xiaowei Song3

1Biomedical Physiology and Kinesiology, Simon Fraser University, Surrey, BC, Canada, 2Faculty of Applied Science, Simon Fraser University, Surrey, BC, Canada, 3ImageTech Laboratory, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada

As our population ages, there is a need for better methods of assessing neurodegeneration. However, current methods are based on a diagnostic model and assess changes in isolation, failing to account for the interconnected nature of the brain and the heterogeneity of the aging process. To address this, we introduced the Brain Atrophy and Lesion Index (BALI) an MRI based tool for the assessment of structural neurodegeneration across the whole brain. Here, we compare results from eight datasets to which BALI was applied (n=3295), and present a literature review to understand consensus regarding the brain changes assessed by the BALI.

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Plastic Changes of the Language-related Brain Regions for Children with Non-syndrome Cleft of Lip with or without Palate (NSCL/P)
Bo Rao1, Hua Cheng1, Yang Fan2, Wenjing Zhang3, Xuhong Liao4, Renji Chen3, and Yun Peng1

1Beijing Children’s Hospital, Capital Medical University, beijing, China, 2MR Research China, GE Healthcare, beijing, China, 3Beijing Stomatological Hospital, Capital Medical University, beijing, China, 4Beijing Normal University, beijing, China

Using multimode MRI technique, this study attempt to find structural and functional alterations of brain regions for children with non-syndrome cleft of lip with or without palate (NSCL/P). Compared with control group, both structural and functional changes were detected in distributed cortical regions for NSCL/P group, which mainly located on the dorsal stream of language pathways. Besides, significant correlations were found between ALFF values and Chinese language clear degree scales for NSCL/P children. 

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A multiparametric study of prion disease
Eleni Demetriou1, Mohamed Tachrount2,3, Matthew Ellis4, Jackie Linehan5, Sebastian Brandner4, Karin Shmueli6, Mark Farrow7, and Xavier Golay1

1Brain Repair and Rehabilitation, Institute of Neurology, London, United Kingdom, 2Brain repair and rehabilitation, Institute of Neurology, London, United Kingdom, 3University of Cardiff, Brain research imaging centre, Cardiff, United Kingdom, 4Neurodegenerative diseases, Institute of Neurology, London, United Kingdom, 5MRC prion unit, Institute of Neurology, London, United Kingdom, 6Medical Physics and Biomedical Engineering, University College of London, London, United Kingdom, 7MRC Prion unit, Institute of Neurology, London, United Kingdom

In this work, we hypothesize that the metabolic changes occurring in the brain of prion-infected mice due to conformational changes of prion protein can be mapped using CEST MRI following previous in vivo work. Our previous findings include reduced Nuclear Overhauser Effect mediated by exchange-relayed signals in thalamus and cortex of prion-infected mice possibly related to up normal prion protein folding. Here we extend our studies by including a rich multipower acquisition scheme for targeting exchange processes falling at different regimes. For understanding the origin of CEST signal alternations T1, T2, and MT maps are included as well as histological findings. 

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MR neuroimaging and pons proton spectroscopy in type 1 narcolepsy
Stefania Evangelisti1, Claudia Testa2, Laura Ludovica Gramegna1,3, Fabio Pizza3,4, David Neil Manners1, Elena Antelmi3,4, Lia Talozzi1, Claudio Bianchini1, Giuseppe Plazzi3,4, Raffaele Lodi1,3, and Caterina Tonon1,3

1Department of Biomedical and NeuroMotor Sciences, Functional MR Unit, University of Bologna, Bologna, Italy, 2Department of Physics and Astronomy, University of Bologna, Bologna, Italy, 3IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 4Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy

Narcolepsy type 1 (NT1) is a rare and life-long disease, characterized by central hypersomnia and cataplexy typically triggered by emotions. NT1 is linked to a selective loss of hypothalamic hypocretin neurons. To characterise neurodegeneration, we combined pons 1H-MRS and whole brain structural analysis in a large and homogenous sample of adult NT1 patients. 1H-MRS showed evidence of pontine neuronal dysfunction, consistent with its key role in REM sleep regulation. Grey matter loss was detected in brain regions implicated in the disease pathophysiology, including frontal-prefrontal cortices, putamen nuclei, thalami, hypothalamus, amygdalae, cerebellum, and widespread subtle tissue microstructural alterations were also found.

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Ex-vivo MR investigation of microstructures in globus pallidus in QSM: a histological validation study
Jinhee Jang1, Yoonho Nam1, Tae-Ryong Riew2, Sung Won Jung2, Sang Hyun Kim2,3, and In-Beom Kim 2,3

1Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of, 2Department of Anatomy, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of, 3Catholic Institute for Applied Anatomy, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of

Linear paramagnetic structures were frequently seen in globus pallidus (GP), and interesting calcific densities are overlapping on these paramagnetic structures. This study aimed to explore the microstructural findings of GP using ex-vivo MRI scan and histologic validation. We found that the source of paramagnetism were mineral deposition of perforating vessels in GP. Those mineral depositions were paramagnetic on MR images, and calcific density on CT scan. Histologic study showed simultaneous deposition of iron and calcium along the arterial wall. High resolution MRI might have potential to demonstrate vascular degeneration and mineral deposition, which might be associated with aging and metabolic brain diseases.

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The change of cerebral cortex in children with Tourette syndrome
Lei Kong1, Yue Liu1, Shao Meng Cao2, Lv Bin 2, and Yun Peng1

1Beijing Children's Hospital, Beijing, China, 2China Academy of Information and Communications Technology, Beijing, China

 Tourette syndrome (TS) is a developmental neuropsychiatric disorder and is characterized by multiple motor and vocal tics. To understand the developmental cause of such changes, we investigated microstructural changes of cortical thickness , cortical sulcus, cortical curvature, and LGI in TS children by using sagittal three-dimensional T1-weighted image (3DT1WI) Magnetization. The TS children had the significant differences in cortical thickness, cortical sulcus, cortical curvature, and LGI compared with controls.

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Altered cortical thickness relevance in the early blind, late blind during the critical developmental time
Ankeeta Ankeeta1, S Senthil Kumaran2, N R Jagannathan2, and Rohit Saxena3

1Neurology, All India Institute of Medical Sciences, New Delhi, India, 2NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 3Rajendra Prasad Centre of Opthalmology, All India Institute of Medical Sciences, New Delhi, India

Visual impairment induces structural and functional modification in the visual cortex. There is significant modification observed between early blind subjects with thicker V1 compared to sighted controls, however late blind subjects with showed no significant differences in the V1 in age group of 6-12 years but there is differences observed between 13-19 years age range. Hence implicating the role of age of blindness onset may induce significant possessions on the expansion of cortical thickness of the V1.

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Gradient profiles of myelin and microstructure metrics across the developing brain
Erika P Raven1, Maxime Chamberland1, Sila Genc1,2,3, Kate Duffy1, Chantal Tax1, Greg Parker1, Maxime Descoteaux4, and Derek K Jones1

1Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 2Developmental Imaging, Murdoch Children’s Research Institute, Parkville, Australia, 3Department of Paediatrics, University of Melbourne, Parkville, Australia, 4University of Sherbrooke, Sherbrooke, QC, Canada

Myelinogenesis follows a protracted sequence, with distinct pathways being myelinated at various times throughout development. To test this with MRI, we used magnetization transfer and diffusion metrics with tractography to investigate along-tract profiles of myelin and microstructure metrics in children and adolescents. Profiles demonstrated sensitivity to along-tract metrics, with midline regions having increased myelin and restricted diffusion indices indicative of maturation. 

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Altered brain structure associated with cognitive changes of end-stage renal disease patients without dialysis and with maintenance hemodialysis
Xueying Ma1, Dun Ding1, Peng Li1, Pan Zhang1, Shaohui Ma1, and Ming Zhang1

1Medical Imaging department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China

The theory of kidney-brain axis has provided more information for the interpretation of brain damage in ESRD patients. However, the factor of dialysis was ignored in this theoretical system. We analyzed the cortical structural changes and cognitive changes from different dimensions and also analyzed their relationship in ESRD patients with and without hemodialysis. We found that both the patients with dialysis and the patients without dialysis showed decreased cortical thickness when compared with healthy people, while the patients without dialysis presented with a more extensive decreased cortical thickness when compared with patients with maintenance hemodialysis. The brain structural changes were correlated with the cognitive changes. Our results suggested that the hemodialysis might be a protective factor for the brain, but the protective effect of hemodialysis was limited.

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Chemotherapy-induced gray matter abnormalities in cancer survivals: a voxel-wise neuroimaging meta-analysis.
Running Niu1, Mingying Du1, Lu Lu2, and Peng Zhou1

1Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, 2Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China

The present meta-analysis investigated the grey matter abnormalities in non-CNS cancer survivals treated with chemotherapy using Anisotropic Effect Size Signed Differential Mapping (AES-SDM) according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guides. Compared with controls, the non-CNS cancer survivals treated with chemotherapy exhibit widespread grey matter abnormalities in brain, especially in prefrontal-temporal pathway, which was significantly affected by the time length since chemotherapy. This pattern of grey matter volume changes might improve our understanding of the pathophysiological nature of chemotherapy related cognitive dysfunctions.

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Quantitative R2 mapping reveals information of myelin content in rat brain at 7T
Ping-Huei Tsai1,2, Tsai-Jou Su1, Hua-Shan Liu3, Fei-Ting Hsu4, Yu-Chieh Kao5, Chia-Feng Lu6, Hsiao-Wen Chung7, and Cheng-Yu Chen5

1Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 2Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan, 3School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan, 4Department of Biological Science and Technology, China Medical University, Taichung, Taiwan, 5Research Center of Translational Imaging, School of Medicine, Taipei Medical University, Taipei, Taiwan, 6Department of Biomedical Imaging and Radiological Sciences, Yang Ming University, Taipei, Taiwan, 7Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

Information of myelin content can reflect the microstructural difference between brain white matter (WM) and gray matter (GM), and particularly facilitating in detection of WM abnormalities during disease progression. This study aims to optimize a quantitative R2 mapping method of rat brain at 7T MRI and to evaluate the relationship between the measured R2 values and myelin content in discrepant brain tissues. Our findings demonstrated that quantitative R2 measurements could be an alternative to provide information of myelin content in rat brain at 7T, which may have potential to assess microstructural changes of brain WM and GM in demyelinating diseases.

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White Matter Tract Abnormalities are Associated with Cognitive Dysfunction in CADASIL
Shiyu Ban1, Jingjing Su2, Mengxing Wang1, Shuai Xu1, and Xiaoxia Du*1

1Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, China, 2Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

This study was to investigate the white matter microstructural abnormalities and the relationship between white matter alterations and cognitive impairment in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), by diffusion tensor imaging (DTI). Patients with CADASIL showed significant extensive reductions in fractional anisotropy (FA), and increases in axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD) compared to healthy controls. Furthermore, these white matter microstructural alterations were significantly correlated with Cognitive scores, and Stroke scale scores. It indicated that damage of white matter play an important role in cognition impairment in CADASIL

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Preoperative brain MRI features and postoperative delirium
Ilse M.J. Kant1,2, Jeroen de Bresser3, Simone J.T. van Montfort1, Myriam Jaarsma-Coes3, Theo Witkamp2, Henri J.M.M. Mutsaerts2, Claudia Spies4, Jeroen Hendrikse2, and Arjen Slooter1

1Department of Intensive Care, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 4Department of Anesthesiology and Operative Intensive Care Medicine, Charité Universitätsmedizin, Berlin, Germany

Postoperative delirium is associated with impaired cognitive outcome, longer hospital stay and an increased risk of dementia. To date, the pathophysiology of delirium remains largely unknown. Therefore, we studied the association of preoperative brain MRI features and the occurrence of postoperative delirium in a large group of older patients. We measured preoperative brain volumes, white matter hyperintensity shape, cerebral infarcts and cerebral perfusion. Preoperative cortical brain infarct volume was associated with postoperative delirium. Other preoperative brain MRI features were not significantly associated with postoperative delirium. Patients with a larger burden of cortical infarcts may have a decreased brain reserve, increasing the risk of postoperative delirium.


Neuroanatomy: Seeing Is Believing

Exhibition Hall
Tuesday 9:15 - 10:15
 Neuro

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Development of a Standardized Normative Pediatric Spinal Cord structural template: Demonstration of an automatic estimation of Spinal Cord Cross Sectional Area measurements (SCCSA).
Shiva Shahrampour1, Benjamin De Leener2, Devon Middelton3, Kavya Jonnavithula4, Mahdi Alizadeh5, Hiba F Pediyakkal6, Laura Krisa7, Adam Flanders8, Scott Faro9, Julien Cohen-Adad2, and Feroze Mohamed7

1Bioengineering, Temple University, Philadelphia, PA, United States, 2Electrical Engineering, NeuroPoly Lab, Institute of Biomedical Engineering, Montreal, QC, Canada, 3Radiology, Thomas Jeffesron University, Philadelphia, PA, United States, 4School of Biological Sciences, University of California, Irvine, Irvine, CA, United States, 5Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States, 6Department of Chemistry, Boston University, Boston, MA, United States, 7Thomas Jefferson University, Philadelphia, PA, United States, 8Radiology, Thomas Jefferson University, Philadelphia, PA, United States, 9School of Medicine, Johns Hopkins, Baltimore, MD, United States

Template-based analysis of MRI data of the spinal cord lay the foundation for standardization and reproducibility , improves patient diagnosis and helps the discovery of new biomarkers of spinal-related diseases.

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Automated MP2RAGE-based Brain Volumetry for Pediatric Patients: A Clinical Usability Study
Maxence Serru1, Benedicte Marechal2,3, Tobias Kober2, Leo Ribier4, Catherine Sembely Taveau1, Jean Philippe Cottier5, Dominique Sirinelli1, and Baptiste MOREL1

1Pediatric Radiology, CHRU of Tours, Tours, France, 2Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland, 3Radiology, Lausanne University Hospital, Lausanne, Switzerland, 4Pediatric Radiology, CHRU of Tours, Tours, Switzerland, 5Neuroradiology, CHRU of Tours, Tours, France

Antenatal and mostly post-natal periods are crucial for brain development, characterized by volume increase, brain maturation, neuronal proliferation, neural migration, and myelination. Head circumference is a reliable clinical assessment of brain volume, correlated with neurodevelopmental outcomes (psychomotor and cognitive development). Particularly in young children, it is a fast and inexpensive tool for brain growth follow-up. Complementarily, brain MRI is becoming more frequently used as a first-line examination for suspected brain development abnormality. In this work, we evaluate the potential of an automated MP2RAGE-based brain volumetry method to objectively support radiologists to better assess brain physiological and pathological cerebral growth.  

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Sex differences in structural variability of brain regions in development and young adults
Natalie Forde1, Grace Jacobs1, Erin Dickie1, Aristotle Voineskos1,2, and Stephanie Ameis1,2

1CAMH, Toronto, ON, Canada, 2Psychiatry, University of Toronto, Toronto, ON, Canada

Increased variability of brain metrics is suggested to relate to increased vulnerability for psychiatric disorders. 

Here we investigate sex differences in variability of brain structure (global and subcortical volume, regional cortical thickness and surface area) in young adults (n=1,032, 22-35 years, Human Connectome Project [HCP]) and through development (n=1,347, 8-21 years, Philadelphia Neurodevelopmental Cohort [PNC]).

Both volume and surface area were observed to be  generally more variable in males compared to females in both development and adulthood. This increased variability may relate to the elevated vulnerability for psychiatric disorders seen in males compared to females. 


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Brain Microstructure Changes in Healthy Aging Revealed by Quantitative Multi-parametric MRI
Qixiang Lin1, Salman Shahid1, Antoine Hone-Blanchet1, Allan Levey1, James Lah1, Bruce Crosson1,2, and Deqiang Qiu2,3

1Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, GA, United States, 3Joint Department of BioMedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

This study aims to reveal the alterations of biologically relevant measurements in healthy aging using multi-parametric quantitative MRI. Multi-parametric quantitative MRI scans of the whole brain were performed in 20 healthy elderly and 21 young adults. Whole-brain voxel-wise analysis showed increased quantitative T1 value in the right hippocampus and right insula, and widespread increases in the subcortical and cortical area of R2*, suggesting microstructural alteration associated with healthy aging in these regions. Quantitative multi-parametric measurements might provide sensitive neuroimaging biomarkers for the microstructure changes during normal aging and related neurodegeneration diseases.

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Development and evaluation of a 0.5mm isotropic resolution structural template of the older adult brain
Mohammad Rakeen Niaz1, Abdur Raquib Ridwan1, Xiaoxiao Qi1, David A. Bennett2, and Konstantinos Arfanakis1,2

1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University, Chicago, IL, United States

Human brain structural MRI templates with low spatial resolution lack important fine details due to partial volume effects. The purpose of this work was twofold: a) to introduce a novel approach for high-resolution template construction based on principles of super-resolution, and b) using this technique, to develop a high-resolution structural template of the older adult brain based on MRI data from 222 non-demented older adults.

2629
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Longitudinal tensor-based morphometry in healthy aging
Laura D Reyes1,2, Neda Sadeghi2, François M Lalonde3, and Carlo Pierpaoli2

1Henry M. Jackson Foundation, Bethesda, MD, United States, 2NIBIB, National Institutes of Health, Bethesda, MD, United States, 3NIMH, National Institutes of Health, Bethesda, MD, United States

Previous studies of healthy elderly populations combined a longitudinal design with tensor-based morphometry (TBM) and found significant gray matter (GM) atrophy over short time periods. We examined a separate healthy elderly population using a different method to determine if previous results are biologically driven, and investigated the relationship between GM and cognition. We also detected significant GM atrophy, but did not find a link between GM, age, and cognition. Our longitudinal TBM approach is sensitive to subtle, short-term GM changes, but further investigation is necessary to examine the effect of different methodological approaches on the relationship between GM and cognition.

2630
Computer 157
A knowledge-based linear registration for brain MRI morphology
Xinyuan Zhang1,2, Yanqiu Feng1, Qianjin Feng1, and Susumu Mori2,3

1Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Linear registration is an essential first step for image registration. However, linear registration often fails when the brain shapes, locations, orientations of the target and template images are severely different. To solve this problem, we proposed a knowledge-based approach, in which a large number of MR images were prepared as intermediate images, which were semi-automatically registered to the template a priori to ensure accurate registration. A new target image was first registered to all intermediate images and best intermediate image was selected based on a goodness-of-fit metric. The final transformation was then calculated by combining the pre-determined intermediate-to-target transformation.

2631
Computer 158
Evaluating lifespan tissue structure: Comparing CSD signal fraction and VBM grey matter density
Jamie C Blair1, Benjamin T Newman1, Lisa A Post2, and T Jason Druzgal1

1Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 2University of Virginia, Charlottesville, VA, United States

Constrained spherical deconvolution (CSD), a recently developed diffusion MRI analysis technique, can be used to obtain whole-brain signal fractions from grey-matter-like, white-matter-like, and CSF-like tissue. This study evaluates the CSF compartment present in grey matter (GM-CSF) over the lifespan, and compares it to grey matter density (GMD), obtained through Voxel Based Morphometry. Results of this study reveal a complimentary relationship between GM-CSF and GMD across the lifespan, but not amongst a younger cohort. Results suggest further research is necessary to understand differences between these techniques, and how they may relate to tissue structure.

2632
Computer 159
Characterizing age-related microstructural changes in locus coeruleus and substantia nigra
Jason Langley1, Justino J. Flores2, Sana Hussain3, Ilana J. Bennett2, and Xiaoping Hu3

1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Department of Psychology, University of California Riverside, Riverside, CA, United States, 3Department of Bioengineering, University of California Riverside, Riverside, CA, United States

Characterization of age-related alterations in composition and morphology of locus coeruleus and substantia nigra pars compacta will aid in the development of new biomarkers and may provide insight in the development of novel interventions to arrest progression of Alzheimer's disease or Parkinson's disease. Imaging these structures with diffusion-weighted images is difficult due to their small stature (locus coeruleus is 1.5 mm in diameter and 15 mm long) and location in the brain stem. In this abstract, we utilize a high resolution diffusion-weighted protocol to examine age-related microstructural changes in locus coeruleus and substantia nigra pars compacta.

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Microstructural Changes in Human Substantia Nigra with Aging as Revealed by Non-Gaussian Diffusion MRI
Zheng Zhong1,2, Muge Karaman1,2, Kaibao Sun1, and Xiaohong Joe Zhou1,2,3

1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology and Neurology, University of Illinois at Chicago, Chicago, IL, United States

Aging is considered a major factor in the development of neurodegenerative disease. The aging process can result in brain tissue microstructural alterations, particularly in regions relevant to neurodegeneration, such as the substantia nigra (SN). In this study, we employed a non-Gaussian diffusion model – the continuous-time random-walk (CTRW) model – together with a high-resolution diffusion acquisition technique to investigate the possible microstructural changes in the SN in normal aging. Two CTRW model parameters have exhibited significant differences in the SN between young and elderly healthy human subjects.

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The visualization of the morphology change within depigmented substantia nigra using high field postmortem MRI
Hansol Lee1, Sun-Yong Baek2, Eun-Joo Kim3, Gi Yeong Huh4, Jae-Hyeok Lee5, and HyungJoon Cho1

1Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of, 2Department of Anatomy, Pusan National University School of Medicine, Yangsan, Korea, Republic of, 3Department of Neurology, Pusan National University Hospital, Busan, Korea, Republic of, 4Department of Forensic Medicine, Pusan National University School of Medicine, Yangsan, Korea, Republic of, 5Department of Neurology, Pusan National University Yangsan Hospital, Yangsan, Korea, Republic of

 The purpose of this study was to determine the alteration of the morphology in the substantia nigra using MRI with histopathological validation for the patients of atypical Parkinsonism. MR experiments for formalin fixed autopsied brains were operated using a 7T imaging system. Specific visualization of ferric iron and neuromelanin from MR relaxometry was used to identify the neuromelanin distribution within the normal brain and the brain of Perry syndrome. The loss of neuromelanin pigment within the substantia nigra of Perry syndrome was consistently confirmed both from MR relaxometry and from the directly captured picture during the cryo-section.

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Simultaneous imaging of neuromelanin and nigrosome 1 in substantia nigra using 3D multi-echo gradient echo acquisition with magnetization transfer preparation
Yoonho Nam1, Na-Young Shin1, and Eung Yeop Kim2

1Department of Radiology, Seoul St. Mary's Hospital, The Catholic University of Korea., Seoul, Korea, Republic of, 2Department of Radiology, Gachon University Gil Medical Center, Incheon, Korea, Republic of

Recently, neuromelanin and nigrosome 1 imaging techniques have been developed to assess the substantia nigra in Parkinsons’s disease. Typically, the neuromlanin contrast is maximized by magnetization transfer pulses and the nigrosome 1 contrast is maximized by susceptibility weighting for the surrounding iron-rich regions, respectively. Since the contrast mechanisms of the two images are different, the separated scans are required to obtain the two contrasts. In this study, we investigate the potential utility of a 3D multi-echo gradient echo acquisition for simultaneous imaging of neuromelanin and nigrosome 1 in the substantia nigra.

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Visualization of the Substantia Nigra Pars Compacta: comparison between DANTE T1-SPACE and T1-SPACE
Sonoko Oshima1, Yasutaka Fushimi1, Tomohisa Okada2, Akira Yamamoto3, Satoshi Nakajima1, Gosuke Okubo1, Hikaru Fukutomi1, Yusuke Yokota1, John Grinstead4, Sinyeob Ahn5, and Kaori Togashi1

1Department of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 3Integrated Clinical Education Center, Kyoto University Hospital, Kyoto, Japan, Kyoto, Japan, 4Siemens Healthineers, Portland, OR, United States, 5Siemens Healthineers, San Francisco, CA, United States

Neuromelanin-sensitive magnetic resonance techniques have been used for depicting neuromelanin-rich structures such as the substantia nigra pars compacta (SNpc). We compared visualization of the SNpc between delay alternating with nutation for tailored excitation-prepared T1-weighted variable flip angle turbo spin echo (DANTE T1-SPACE) and T1-SPACE without DANTE pulse (T1-SPACE) in 8 healthy volunteers. DANTE T1-SPACE provided better delineation of the SNpc and showed higher contrast than T1-SPACE. DANTE T1-SPACE may be a viable tool for evaluating the SNpc.

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Assessment of inter-fractional positional accuracy of anterior visual pathway in a frameless stereotactic radiosurgery using an MR-simulator
Jing Yuan1, Yihang Zhou1, Oilei Wong1, Winky WK Fung2, Franky KF Cheng2, Kin Yin Cheung1, George Chiu2, and Siu Ki Yu1

1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, 2Department of radiotherapy, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong

In hypofractionized stereotactic radiosurgery (SRS), radiation-induced optic neuropathy (RION) might associate with the local radiation injury to anterior visual pathway (AVP), while the irradiated dose to AVP is much influenced by its positional variation. We for the first time assessed the inter-fractional AVP positional variation in a hypofractionized frameless SRS setting on 13 volunteers using a 1.5T MR-simulator. The results suggested that sub-millimeter AVP positional accuracy could be achieved in the frameless SRS after brain alignment. However, the dose uncertainty in the most anterior optical nerves should be concerned (1.2±2.6 mm positional variability) in a sharp dose gradient of SRS.

2638
Computer 165
Visualizing and Characterizing the Habenula with Magnetic Resonance Imaging
Naying He1, Sean Kumar Sethi2, Chencheng Zhang3, Yan Li1, Yongsheng Chen4, Bomin Sun3, Fuhua Yan1, and Ewart Mark Haacke2

1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China, 2Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 3Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Department of Radiology, Wayne State University, Detroit, MI, United States

The habenulae are a small pair of nuclei which serve as a hub between the limbic forebrain and midbrain monoameric neurons. It is a target for the treatment of major depressive disorder using deep brain stimulation, which requires precise pre-treatment mapping. We visualized and characterized the habenula using multiple MRI contrasts and maps to quantify its properties and delineate the structure between lateral and medial side. Axially, we observed elevated iron in the posterior aspect, which we believe to be the lateral habenula. Quantitatively, we also noted similarities of the lateral habenula specifically to white matter.

2639
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Localization of the habenula and stimulating electrodes in pre/post-DBS surgery using MRI
Yan Li1, Naying He1, Ewart Mark Haacke2, and Fuhua Yan1

1Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 2Department of Radiology, Wayne State University, Detroit, MI, United States

Deep brain stimulation of the lateral habenula is a common approach to treat refractory depression and other psychiatric diseases. It is very important to know the exact position of the habenula before positioning the electrodes. We conducted phantom experiments using a clinical DBS wire to determine the characteristics of the artifacts stemming from the electrodes and also scanned 6 pre/post-DBS patients on a 1.5T scanner. Both T2W TSE and high resolution GRE imaging clearly visualized the electrodes through the geometric distortion artifacts. 3D T1 MPRAGE, T2W TSE and 3D GRE provided a rapid protocol for scanning patients pre/post-DBS treatment.

2640
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An anatomical atlas for segmentation of thalamic nuclei from conventional 3T MRI
Manojkumar Saranathan1, Jennifer Becker1, and Stephen Z Rapcsak2

1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Neurology, University of Arizona, Tucson, AZ, United States

Thalamic nuclei are typically invisible on conventional T1 and T2 MRI. We propose here an anatomical atlas based on 7T White matter nulled MP-RAGE data which can be used for a variety of applications including targeting the VIM nucleus for neurosurgical applications and thalamic nuclear volumetry for tracking disease progression using conventional MRI sequences like MP-RAGE or FLAIR.

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Biological brain age prediction using structural MRI: Insights from dimensionality reduction techniques
Arna Ghosh1,2, Alba Xifra-Porxas2,3, Georgios D. Mitsis4, and Marie-Hélène Boudrias2,5

1Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada, 2Montréal Center for Interdisciplinary Research in Rehabilitation (CRIR), Montréal, QC, Canada, 3Graduate Program in Biological and Biomedical Engineering, McGill University, Montréal, QC, Canada, 4Department of Bioengineering, McGill University, Montréal, QC, Canada, 5School of Physical and Occupational Therapy, McGill University, Montréal, QC, Canada

The human brain changes with age and these age-related changes have been used as biomarkers for several brain-related disorders. Therefore, being able to accurately predict the biological age of the brain from T1-weighted MR images yields significant potential for clinical applications. The present study evaluates regression models coupled with dimensionality reduction techniques for biological brain age prediction and concludes that Canonical Correlation Analysis (CCA) enhances prediction performance of Gaussian Process Regression (GPR) models. The proposed analysis also reveals brain areas that are strongly anti-correlated with age, in agreement with previous aging studies.


2642
Computer 169
Volumetric analysis of selected brain regions for multi-parametric diagnostic investigation of atrophic brain diseases - Comparison of different volumetric analysis methods
Svea Seehafer1, Olav Jansen1, and Thomas Lindner1

1Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany

In this study three freeware tools for volumetric image post-processing were compared. The study population was subdivided by age decades. Our results show no major deviations between the selected analytical methods.

2643
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A Time-Averaged MRI Brain Template for the Infant Rhesus Macaque
Jason Moody1, Steve Kecskemeti2, Douglas Dean III2, Jonathan Oler3, Do Tromp3, Andrew Alexander4, and Ned Kalin3

1Department of Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Waisman Center, University of Wisconsin Madison, Madison, WI, United States, 3Department of Psychiatry, University of Wisconsin Madison, Madison, WI, United States, 4Department of Medical Physics, Department of Psychiatry, Waisman Center, University of Wisconsin Madison, Madison, WI, United States

Anatomical templates are extremely prevalent in human brain imaging research, but comparatively rare in non-human primate MRI studies, particularly for the early-developing brain. Utilizing a custom T1-weighted imaging sequence (MPnRAGE), we have constructed a finely-sampled (0.469 mm isotropic), T1-weighted, time-averaged, population template of the infant rhesus macaque brain, generated from 35 rhesus monkeys, scanned at five different time points throughout their first year of life (including 4 scans within the first 6 months). This time-averaged template of the early-developing rhesus macaque brain provides an invaluable anatomical framework for characterizing and assessing early brain development in non-human primates.

2644
Computer 171
A novel ex vivo MR imaging template of the Japanese quail to study stress-selected lines.
David André Barrière1, Raïssa Yebga Hot1, Marine Siwiaszczyk2, Justine Beaujoin1, Ivy Uszynski1, Scott Love2, Baptiste Mulot3, Ludovic Calandreau2, Élodie Chaillou2, and Cyril Poupon1

1Neurospin, CEA, Gif-sur-Yvette, France, 2PRC, INRA CNRS IFCE, Nouzilly, France, 3Zooparc Beauval & Beauval Nature, Saint-Aignan, France

In neuroscience, birds are becoming interesting animal models to study learning and memory but also response to stress. Nevertheless, bird’s brain organization and physiology suffers from a lack of neuroimaging tools to perform non-invasive and longitudinal investigations. In this study, we proposed a novel brain template of the Japanese quail (Coturnix Japonica), built from twenty animals dedicated to voxel-based morphometry approach. Using these tools we investigate differences in grey matter concentration (GMC) between two divergent lines of quails selected from their response to fear. Our results report structural differences between the both quail lineages within cognitives, motivational and motor systems.

2645
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High-Resolution Magnetic Resonance Imaging of Juvenile Minke Whale Brain at 7T
Gaurav Verma1, Alan Seifert1, Bridget A. Wicinski2, Kuang-Han Huang1, John W. Rutland1, Rebecca Emily Feldman1, Bradley Neil Delman3, Patrick R. Hof2, and Priti Balchandani1

1Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The brain of a 15-foot juvenile brain that washed ashore in the Bronx, New York City was scanned using a 7T whole-body MRI scanner. After fixation in PBS solution and vacuum removal of air pockets, the specimen was scanned using a battery of high-resolution anatomical MRI sequences, including T1-weighted MP2RAGE, 3D MERGE, Proton Density weighted imaging, T2-weighted FLAIR imaging and Diffusion Tensor Imaging. Post-processing included brain masking to alleviate bright background from the PBS solution in most imaging modalities. Anatomical imaging from three high resolution datasets is presented along with a 3D reconstruction generated by volumetric projection of data segmented using the FreeSurfer 6 algorithm.

2646
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A high-resolution MRI template for adult Beagle dog
Xueru Liu1,2, Rui Tian2,3,4, Zhentao Zuo1,2,4, Hui Zhao3,5, Liang Wu2,3, Yan Zhuo1,2,4, Yongqing Zhang2,3,4, and Lin Chen1,2,4

1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics,Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China, 4CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China, 5Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China

High-resolution T1w and T2w templates from 10 male adult purebred beagles were created in this study. According to the tissue probability map, descriptive statistics of brain tissue volumes and brain sizes exhibit our template with smaller variance. Significant correlation between brain size from dorsal to ventral and gray matter volume was found. This high-resolution purebred canine brain template lays the foundation for further studies aimed at in-vivo analysis of the development of canine brain anatomy and function.

2647
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An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain
Dana Goerzen1, Caitlin Fowler2, Gabriel A. Devenyi3,4, Jurgen Germann3, Dan Madularu3,5, Mallar Chakravarty2,3,4, and Jamie Near2,3,4

1Dept. of Neuroscience, McGill, Montreal, QC, Canada, 2Dept. of Biomedical Engineering, McGill, Montreal, QC, Canada, 3Centre d'Imagerie Cérébrale, McGill, Montreal, QC, Canada, 4Dept. of Psychiatry, McGill, Montreal, QC, Canada, 5Center for Translational NeuroImaging, Northeastern University, Boston, MA, United States

Neuroscientific research involving preclinical rodent models often requires the ability to precisely identify anatomical brain regions. This project reports the development of a high-resolution MRI atlas of the Fischer 344 adult rat. The atlas is composed of 98 manually delineated structures through 256 coronal slices. The atlas was developed using 41 adult Fischer 344 rats to generate a co-registered average brain. The template was segmented by intensity contrast in conjunction with the Paxinos and Watson paper atlas. This atlas is intended to be a resource for researchers working with Fischer 344 rats and is provided open-access in MINC2.0 and NIfTI.

2648
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High resolution diffusion magnetic resonance imaging based atlas of the C57BL/6J adult mouse brain: a tool for examining mouse brain structures
Tanzil Mahmud Arefin1, Choong Heon Lee1, Orlando Aristizábal1,2, Youssef Zaim Wadghiri3,4, Daniel Turnbull1,2, and Jiangyang Zhang1

1Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Skirball Institute of Biomolecular Medicine, New York, NY, United States, 3Bernard & Irene Schwartz Center for Biomedical Imaging, New York, NY, United States, 4Preclinical Imaging Center, New york, NY, United States

Mouse models have been widely used in the neuroscience research to evaluate brain development, micro-structural and functional phenotypes in response to gene mutations and neurological diseases which require a baseline for comparison, such as an atlas. Where existing atlases vary in contrast mechanisms, number of structures and resolution, very few reports detailed neuroanatomical parcellations based on diffusion magnetic resonance imaging. This study was therefore aimed to develop high resolution diffusion MR-based mouse brain atlas database with thorough labels for cortical and subcortical structures compatible with the Allen Mouse Brain Atlas (AMBA) which will be freely available to the research community.


Neurovascular 1

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

2649
Computer 1
High resolution MRI in Diagnosis of Cerebral Arterial Thrombosis
Chao Zhang1, Xinyi Wang2, and Weiqiang Dou3

1Taishan Medical University, Tai'an, China, 2Qianfoshan Hospital Affiliated to Shandong University, Jinan, China, 3MR Research, GE Healthcare, Beijing, China

This study aimed to investigate the feasibility of CUBE MRI for high resolution imaging in the detection of intraluminal thrombi in acute stroke patients. The T1-weighted CUBE images showed dark blood signal in arteries and high signal or iso-signal filling in the lumen. In our study, the sensitivity of T1 weighted CUBE in the detection of intraluminal thrombi reached 100% and the corresponding area under curve(AUC) value was higher than SWI. We therefore demonstrated that the T1-weighted CUBE MRI can effectively help to diagnosis the intraluminal thrombi.

2650
Computer 2
Functional and Microstructural Changes in the Brain After Carotid Endarterectomy
Marc D Lindley1, Adam Bernstein1, Andrew McKinnon2, Chidi Ugonna1, Denise Bruck3, Kevin Johnson3, Maria Altbach3, Lee Ryan2, Gloria Guzman3, Nan-kuei Chen1, Ying-hui Chou2, Theodore Trouard1, and Craig Weinkauf4

1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Psychology, University of Arizona, Tucson, AZ, United States, 3Medical Imaging, University of Arizona, Tucson, AZ, United States, 4Vascular Surgery, University of Arizona, Tucson, AZ, United States

Carotid endarterectomy (CEA) for clinically asymptomatic patients has been shown effective in reducing stroke risk. The impact that CEA has on functional connectivity or microstructure in the brain has not been studied. 14 clinically asymptomatic underwent resting state fMRI (rs-fMRI), diffusion MRI (dMRI), and neurocognitive testing pre-operatively and 4-6 months post-operatively.  Functional correlation analysis on rs-fMRI was performed by analyzing the average within network correlations. Apparent fiber density calculations were performed to assess the microstructural changes before and after surgery.  RS-fMRI and dMRI analysis showed changes before and after CEA.

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Deep Learning Augmented Cerebral Blood Flow Measurement Using Arterial Spin Labeling Technique in Moyamoya Disease Before and After Direct Bypass Surgery
David Yen-Ting Chen1,2, Yosuke Ishii1,3, Jia Guo4, Audrey Peiwen Fan1, and Greg Zaharchuk1

1Radiology, Stanford University, Palo Alto, CA, United States, 2Medical Imaging, Shuan-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan, 3Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan, 4Bioengineering, University of California Riverside, Riverside, CA, United States

We used single-delayed (SD) pseudo-continuous arterial spin labeling (PCASL), multi-delay (MD) ASL and a new, synthesized (Synth) ASL to longitudinally monitor cerebral blood flow (CBF) before and after direct bypass surgery in Moyamoya disease. The Synth-ASL was generated from a deep convolutional neural network, previously trained on a simultaneous [15O]-water PET/MRI dataset to generate a PET-like CBF map from MRI inputs. The Synth-ASL demonstrated a more homogenous CBF change across the brain and significantly greater CBF increase globally and regionally than SD-ASL and MD-ASL after surgery. Synth-ASL reduces bias in long arterial delay and measurement noise, and may enable robust CBF imaging follow-up in cerebrovascular patients.

2652
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HIV-Associated Cerebral Small Vessel Disease Measured by Quantitative Susceptibility Mapping
Kyle Douglass Murray1, Arun Venkataraman1, Pascal Spincemaille2, Lu Wang1, Yi Wang2, Madalina Tivarus1, Xing Qui1, Jianhui Zhong1, and Giovanni Schifitto1

1University of Rochester, Rochester, NY, United States, 2Cornell University, Ithaca, NY, United States

HIV-infected older individuals are at increased risk of developing cerebral small vessel disease (CSVD). Quantitative susceptibility mapping (QSM) can be used to asses tissue susceptibility, which can be a measure of CSVD. CSVD tends to occur more frequently in HIV-positive individuals. Limited information in the literature is available on HIV-associated changes in brain tissue susceptibility. In this abstract, we seek to discover relationships between HIV and QSM measures. Brain segmentation and region-based statistics were performed to discover region-based links between HIV and QSM measures and cardiovascular risk factors.

2653
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A multi-site round robin assessment of ASL using a perfusion phantom
Aaron Oliver-Taylor1, Thomas Hampshire1, Henk-Jan Mutsaerts2,3,4, Patricia Clement5, Esther Warnert6, Joost P.A. Kuijer2, Koen Baas3, Jan Petr7,8, Jeroen C.W. Siero4,9, José P Marques10, Stefan Sunaert11, Ronald J.H. Borra12, Matthias J.P. van Osch13, Xavier Golay1,14, and Eric Achten5

1Gold Standard Phantoms Limited, London, United Kingdom, 2Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU Medical Center, Amsterdam, Netherlands, 3Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, Netherlands, 4Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 5Department of Diagnostic Sciences, Ghent University, Ghent, Belgium, 6Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 7Helmholtz-Zentrum Dresden-Rossendorf, Institute for Radiopharmaceutical Cancer Research, Dresden, Germany, 8Kate Gleason College of Engineering, Rochester Institute of Technology, Rochester, NY, United States, 9Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 10Donders Institute For Brain Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 11Dept. of Imaging & Pathology, Translational MRI, KULeuven, Leuven, Belgium, 12Medical Imaging Center (MIC), University Medical Center Groningen (UMCG), Groningen, Netherlands, 13C.J. Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 14Institute of Neurology, University College London, London, United Kingdom

Arterial Spin Labelling shows great promise for perfusion measurements; however, despite numerous volunteer reproducibility studies, comparisons have not been made using a phantom to establish differences due to the acquisition hardware and pulse sequences.  We present data from a multi-site study using a perfusion phantom, targeting 3T MRI systems from a single vendor running the same software version.

2654
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Test-retest Reproducibility and associations with cognitive impairment of 3D PCASL in Elderly Subjects at Risk of Small Vessel Disease
Kay Jann1, Xingfeng Shao1, Samantha J Ma1, Giuseppe Barisano1, Marlene Casey1, Lina M D'Orazio2, John M Ringman2, and Danny JJ Wang1

1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine at USC, Los Angeles, CA, United States, 2Neurology, Keck School of Medicine at USC, Los Angeles, CA, United States

We assessed the reproducibility 3D pCASL in an elderly cohort with risk for small vessel disease and its associations with clinical assessments and vascular risk factors. We found a high test-retest reproducibility of regional CBF and an association of subcortical MCA perfusion territories of the lenticulostriate arteries with cognition and vascular risks. Hence, 3D pCASL perfusion in MCA perfusion territory might be a potential imaging marker to identify early small vessel changes related to vascular cognitive impairment and dementia.

2655
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The value of high-resolution magnetic resonance vascular wall imaging in the diagnosis and treatment of central nervous system vasculitis
Shuai Han1, Xinyi Wang2, and Weiqiang Dou3

1Taishan Medical University, Jinan, China, 2Qianfoshan Hospital Affiliated to Shandong University, Jinan, China, 3GE Healthcare, MR Research, Beijing, China

Three-dimensional (3D) CUBE MRI for high-resolution vascular wall imaging can reveal the morphological characteristics of vessel wall. To investigate its feasibility in the diagnosis of central nervous system vasculitis, we applied the contrast-enhanced 3D T1-weighted CUBE imaging in the patients with vasculitis. We found significant alterations of the vessel wall imaging in signal-to-noise-ratio and contrast-to-noise-ratio before and after clinical treatment. With these, we can demonstrate that 3D CUBE MRI can effectively help to diagnose the central nervous system vasculitis and evaluate the treatment effect.

2656
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A test-retest multi-site reproducibility study of 4D flow MRI on neurovascular system
Yang Fan1, Xiaocheng Wei1, Long Qian1, Jing Wang2, and Bing Wu1

1GE Healthcare China, Beijing, China, 2Center for Medical Device Evaluation, NMPA, Beijing, China

4D flow MRI shows great potential in neurovascular disorders such as stenosis, atherosclerotic disease, aneurysms, and vascular malformations. Its widespread application in neurovascular system requires evidence of good test-retest multi-center reproducibility. The purpose of this study is to assess the multi-center reproducibility and test-retest reliability of 4D flow MRI in measurements of cerebral blood flow/velocity in main intracranial vessels. As a result, high multi-center reproducibility and test-retest reliability was shown for 4D flow MRI in the measurements of blood flow and peak velocity of main intracranial vessels for healthy volunteers.

2657
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Evaluation of image quality of pituitary dynamic contrast-enhanced MRI using TWIST and IT-TWIST.
Yusuke Yokota1, Yasutaka Fushimi1, Tomohisa Okada2, Hikaru Fukutomi1, Akira Yamamoto1, Satoshi Nakajima1, Gosuke Okubo1, Sonoko Oshima1, Koji Fujimoto2, and Kaori Togashi1

1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan

To compare the image quality of pituitary dynamic contrast-enhanced (DCE) MRI using TWIST and iterative reconstruction TWIST (IT-TWIST). IT-TWIST images were created from the identical rawdata of TWIST. ROI analyses were conducted to evaluate enhancement slope in PS, PL, bilateral cavernous sinus (CS) in enhancement slope map. Four ROIs were applied to temporal SD map as an indicator of temporal noise to evaluate image noise. Enhancement slope of all ROIs but PS was significantly higher in IT-TWIST than that in TWIST. Temporal noise in IT-TWIST was significantly less than that in TWIST in all ROIs.

2658
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Imaging the Cerebral Vasculature Using Ferumoxytol Enhanced Susceptibility Weighted Imaging and Quantitative Susceptibility Mapping at 3T
Yongsheng Chen1,2, Yulin Ge3, Saifeng Liu2, Jiani Hu1,2, and E. Mark Haacke1,2

1Department of Radiology, Wayne State University, Detroit, MI, United States, 2The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 3Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States

Imaging the major arteries in the brain is straightforward using MR angiography either with or without a contrast agent. However, imaging vessels at the 250μm level is challenging and imaging vessels at the 50μm to 100μm level is essentially impossible even with high field systems. One potential approach to bring them to life is using an iron-based contrast agent to enhance SWI. In this work, we extend the use of Ferumoxytol to image the small cerebral arteries and veins to 3T and show that within a reasonable scanning time, one can obtain superb images of the vasculature of the brain.

2659
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Comparison of the BOLD-evoked response to hypercapnic challenge in mice anesthetized under isoflurane and dexmedetomidine.
Gabriel Desrosiers-Grégoire1, Daniel Gallino2, Gabriel Devenyi2,3, and M. Mallar Chakravarty2,4,5

1Integrated Program in Neuroscience, Mcgill university, Montreal, QC, Canada, 2Douglas Mental Health University Institute, Montreal, QC, Canada, 3Department of Psychiatry, McGill University, Montreal, QC, Canada, 4Department of Psychiatry, Mcgill university, Montreal, QC, Canada, 5Biological & Biomedical Engineering, McGill University, Montreal, QC, Canada

Small animal functional magnetic resonance imaging has great potential in a range of basic neuroscientific applications. To maintain stable experimental conditions, animals are usually anesthetized during acquisition. However, anesthesia regimes influence neural activity through their influence on neurovascular coupling. To investigate these mechanisms, we compared the BOLD response following hypercapnia in mice anesthetized under isoflurane or dexmedetomidine. We found that the impact of hypercapnia is much more potent in animals anesthetized under dexmedetomidine, but that FC is much stronger under isoflurane, suggesting that this response does not predict a more pronounced reduction in FC as a consequence of anesthesia.

2660
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Synthetic MR Angiography: A Feasibility Study of MR Angiography based on 3D Synthetic MRI
Shohei Fujita1, Akifumi Hagiwara1,2, Masaaki Hori1, Otsuka Yujiro1,3, Fukunaga Issei1, Nao Takano1, Christina Andica1, Tomoko Maekawa1,2, Ryusuke Irie1,2, Koji Kamagata1, Akihiko Wada1, Michimasa Suzuki1, and Shigeki Aoki1

1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Milliman Inc., Tokyo, Japan

Quantitative synthetic MRI allows creation of various contrast-weighted image that can be used in clinical settings from a single acquisition. However, clinically widely used MRA was unable to obtain using synthetic MRI. We demonstrate an arithmetic approach to produce MRA-like images from the 5 raw images of 3D-QALAS. Qualitative and quantitative evaluations were performed to compare image qualities of synthetic MRA with TOF-MRA. Proximal segments of intracranial arteries were clearly visualized on synthetic MRA, with comparable quality to that of TOF-MRA. Synthetic MRA may function as a screening tool to detect lesions of major intracranial arteries, without additional scanning time.

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Assessment of cerebral pulsatility using high temporal-resolution MRI
Kevin J Ray1, Alastair Webb2, and Peter Jezzard1

1Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Stroke Prevention Research Unit, University of Oxford, Oxford, United Kingdom

High frequency resting state BOLD MRI (rs-fMRI, TR=0.43s) detects effects of blood flow pulsatility on the cerebrovasculature, but no systematic comparison of analysis methods has been performed. In ten healthy subjects, we compared three pulsatility quantification methods (iterative GLM, mean-squared coherence (MSC), number of standard deviations (nSD)), with or without external physiological measurements. MSC detected the greatest proportion of voxels with significant pulsatility, but iGLM analysis was the most specific method, identified greater normalised pulsatility magnitude in arteries, and was the only approach that produced similar estimates of pulsatility magnitude and extent independently of external physiological data.

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High-resolution Brain 3D-TOF MRA of Critical Fine Branches from Major Trunks Using Deep Learning Reconstruction and High-gradient Magnetic Field
Miho Gomyo1,2, Kazuhiro Tsuchiya1,2, Yoshioka Tatsuya3, Sanae Takahashi3, Shichirou Katase1, Arisa Ohara1, Isao Miyazaki3, Haruhiko Machida1, and Kenichi Yokoyama1

1Radiology, Korin University Faculty of Medicine, Mitaka, Japan, 2Radiology, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan, 3Radiology, Korin University Hospital, Mitaka, Japan

Problem

Using a 3-T MRI scanner with a high gradient magnetic field (100mT/m), we evaluated the depiction of the intracranial fine branches on high-resolution 3D-TOF MRA (HR-TOF). We also assessed whether depiction can be improved by deep learning reconstruction (DLR). 

Methods

Ten healthy volunteers were imaged by HR-TOF with DLR, and the sharpness of origin and the overall depiction of branches were assessed.

Results

SNR, the sharpness of the origin and the overall depiction of branches were superior in HR-TOF with DLR. 

Conclusion

HR-TOF can well depict fine branches from major trunks. By performing DLR processing, depiction can be improved.


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Optimization of a new accelerated time-of-flight Brain MR angiography using spiral data acquisition: Spiral MRA
Yutaka Hamatani1, Kayoko Abe2, Yasuhiro Goto1, Masami Yoneyama3, Isao Shiina1, Kazuo Kodaira1, Yoshihiro Ikeda1, Mamoru Takeyama1, Isao Tanaka1, and Shuji Sakai2

1Department of Radiological Services, Tokyo Women's Medical University Hospital, Tokyo, Japan, 2Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, 3Philips Electronics Japan, Tokyo, Japan

Spiral MRA is a new accelerated time-of-flight MR angiography (TOF MRA) with spiral data acquisition, which acquires MR data by traveling through k-space with spirals. Acquisition window (AW) is a new parameter, which indicates the degree of under-sampling related to image quality and acquisition time. In this study, suitable flip angle (FA) and AW for Spiral MRA was evaluated by a 5-point scale and signal profile analysis. In conclusion, the suitable FA was 25° to demonstrate each artery and suppress the background signals. AW should be set to 10 or less to avoid vessel blurring.

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A new accelerated time-of-flight Brain MR angiography (Spiral MRA) with a combination technique of spiral acquisition and fat suppression: ProSet
Kayoko Abe1, Kazufumi Suzuki1, Masami Yoneyama2, and Shuji Sakai1

1Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, 2Philips Electronics Japan, Ltd., Tokyo, Japan

Spiral MRA is a new accelerated time-of-flight MR angiography (TOF-MRA), the k space is filled with data in a spiral trajectory on the frequency and phase encoding directions. In this study, the effect of TONE and ProSet on Spiral MRA was evaluated by comparing image quality between Spiral MRA and conventional TOF-MRA. As the result, TONE was rarely effective on Spiral MRA, and Spiral MRA with ProSet provided high quality images, and reduced the acquisition time by approximately 70%, compared to conventional TOF-MRA with ProSet. In conclusion, Spiral MRA with ProSet is a useful, accelerated technique without image quality deterioration.

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Dual Coil Continuous ASL of the human brain at 9.4 T
Markus Schreiyäck1, Jonas Bause1, Klaus Scheffler1,2, and Rolf Pohmann1

1Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany

Arterial Spin Labeling (ASL) is expected to profit highly from ultra high magnetic fields because of the high SNR and the long longitudinal relaxation time. Here we show first images from dual coil continuous ASL measurements in the human brain at 9.4 T. A separate transmit channel was established to feed two small labeling coils placed at the neck. A power limiter was used to ensure subject safety. First images show strong perfusion contrast and high SNR.

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Measure Cerebral Microstructure Alterations in SVD and BVD Using Diffusion Kurtosis Imaging and Investigate the Correlation with Cognitive Impairment
Wenjing Lan1, Shuang Xu1, Yang Liu1, Kaiyu Wang2, and Lizhi Xie2

1The First Hospital of Jilin University, Changchun, China, 2GE Healthcare, China, Beijing, China

Diffusion tensor imaging (DTI) is one of the most popular diffusion MRI methods in the study of ageing. Diffusion kurtosis imaging, which is a recent novel extension of DTI to provide additional metrics quantifying non-Gaussianity of water diffusion in brain tissues, was applied throughout the study. We investigated diffusional alternations arising from brain small vessel disease, and compared results with age and educational level-matched big vessel disease and healthy controls.  We also investigated the correlation between these diseases and cognitive impairment.

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Super selective arterial spin labeling technique in the assessment of blood supply from external carotid artery in Moyamoya Disease: comparison with digital subtraction angiography
Jing Yuan1, Jianxun Qu2, and Yaou Liu1

1Radiology Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2MR Research, GE Healthcare, China, Beijing, China

Super selective arterial spin labeling (ssASL) is a MR territory perfusion technique based on arterial spin labeling. The efficacy of this technique to demonstrate the blood supply of external carotid artery (ECA) into the brain has not been studied. This study demonstrated ssASL was in good agreement with DSA, the gold standard for cerebral vessels, in the evaluation of preoperative ECA collaterals, superficial temporal artery  to middle cerebral artery bypass and synangiosis-induced vessels in Moyamoya disease.

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Correlation of cerebrovascular reserve assessed by acetazolamide-stress SPECT with collaterals on arterial spin-labeling MRI in patients with carotid occlusive disease
Hyunkoo Kang1 and Yoone Kim1

1Seoul Veterans Hospital, Seoul, Korea, Republic of

We evaluated the correlation between cerebrovascular reserve (CVR) on acetazolamide (ACZ) -stress SPECT brain scans and collaterals on ASL MRI in ICA stenosis. 86 patients with ICA stenosis (>70%) were enrolled in this study. On ASL, late-arriving flow appears as serpiginous high ASL signal within cortical vessels, which has been termed arterial transit artifact (ATA). 82/86 ICA stenosis patients underwent SPECT imagings with Tc-99m-ECD in the resting and after ACZ challenge. Significant positive relationship was observed between normal CVR group and ATA showing group in ICA stenosis patients on ASL brain perfusion (p=0.035, chi-square test).

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MRI Evaluation of Cerebrovascular Reactivity in Obstructive Sleep Apnea
Pei-Hsin Wu1, Ana E Rodríguez-Soto1, Erin K Englund1, Michael C Langham1, John A Detre2, Richard J Schwab3, Andrew Wiemken3, and Felix W Wehrli1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, United States, 3Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Obstructive sleep apnea (OSA) is a chronic disorder caused by intermittent obstruction of the upper airways during sleep. OSA patients are prone to cardiovascular disease and stroke. Cerebrovascular reactivity (CVR) is an index to assess the degree of impairment of cerebrovascular regulation. Here, a breath-hold index (BHI) was introduced as a surrogate for CVR to evaluate subjects with OSA and their controls. Preliminary results from an ongoing study found BHI to be significantly elevated in OSA for both BOLD based regional, and global CBF. The results agree with a recent MRI-based CVR study using an exogenously administered hypercapnia stimulus. 

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Changes to Blood-Brain Barrier Water Permeability After CPAP Treatment in Patients with Obstructive Sleep Apnea
Xiang He1, Kenneth Wengler2, Karl Spuhler2, Muhammed Amin3, and Chuan Huang1

1Radiology, Stony Brook University, Stony Brook, NY, United States, 2Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3Medicine, Stony Brook University, Stony Brook, NY, United States

In patients with obstructive sleep apnea (OSA), intermittent ischemia and re-oxygenation leads to disruption of blood-brain barrier (BBB) integrity. In this study changes in BBB water permeability parameters, water extraction fraction (Ew) and water permeability surface area product (PSw), in patients with OSA before and after 8-weeks of continuous positive airway pressure (CPAP) treatment were investigated using the recently developed Intrinsic Diffusivity Encoding of Arterial Labeled Spins (IDEALS) technique. Compared to healthy controls, OSA patients exhibited lower CBF, PSw and Ew before CPAP. After 8-weeks of CPAP, patients showed increased CBF, PSw and Ew demonstrating the improvement of BBB integrity.

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4D Flow MRI Analysis of Cerebral Blood Flow Before and After The Superficial Temporal Artery to Middle Cerebral Artery Bypass Surgery for Atherosclerotic Disease
Tetsuro Sekine1, Erika Orita1, Yasuo Murai2, Ryo Takagi3, Yasuo Amano3, Takahiro Ando1, Kotomi Iwata1, Masashi Ogawa1, Makoto Obara4, and Shin-ichiro Kumita1

1Radiology, Nippon Medical School, Tokyo, Japan, 2Neurosurgery, Nippon Medical School, Tokyo, Japan, 3Radiology, Nihon University, Tokyo, Japan, 4Philips Electronics Japan Ltd, Tokyo, Japan

The purpose of this study was to clarify the change in the hemodynamics after superficial temporal artery to middle cerebral artery (STA-MCA) bypass surgery using 4D Flow MRI. We enrolled 20 patients who underwent 4D Flow MRI preoperatively and 3 weeks after the surgery. The blood flow volume (BFV) of ipsilateral STA and ipsilateral ICA significantly increased after the surgery (0.53±0.22 vs. 1.78±0.54 ml/sec (p< 0.001); 2.37±5.09 vs. 1.82±3.42 ml/sec (p=0.03)). While, no significant difference was observed in total-BFV (p = 0.24). It may indicate that ipsilateral STA and intracranial native artery supply blood flow complementarily after surgery.

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Validation of zTE MRA in the characterization of cerebrovascular diseases: a feasibility study
Song'an Shang1, Jing Ye1, Weiqiang Dou2, Jianxun Qu2, Xianfu Luo1, and Jingtao Wu1

1Department of Radiology, Northern Jiangsu People’s Hospital, Yangzhou, China, 2MR Research China, GE Healthcare, Beijing, China

In this study, we aimed to investigate the feasibility of zero echo time magnetic resonance angiography (zTE-MRA) in the characterization of cerebrovascular diseases. Comparing with the time of flight (TOF) MRA, zTE-MRA showed more robust performance in depicting cerebrovascular diseases with dramatically reduced acoustic noise, higher signal homogeneity, less venous signal/artifact and higher inter-modality agreement and correlation with computed tomography angiography (CTA). We therefore demonstrated that zTE MRA could be a promising technique and further applied routinely in the clinic for patients with cerebrovascular diseases.

2673
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Estimating hemodynamic response functions using motor task and resting-state EEG-fMRI data acquired during wakefulness with eyes open
Prokopis C. Prokopiou1, Alba Xifra-Porxas2, Michalis Kassinopoulos2, Marie-Helene Boudrias3, and Georgios D. Mitsis4

1Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada, 2Graduate Program in Bioengineering and Biomedical Engineering, McGill University, Montreal, QC, Canada, 3School of Physical And Occupational Therapy, McGill University, Montreal, QC, Canada, 4Department of Bioengineering, McGill University, Montreal, QC, Canada

In this work, we quantify the fMRI hemodynamic response function (HRF) using task-based (motor) and resting-state EEG-fMRI. We developed a methodology that does not require any assumptions regarding the HRF shape or the relative contribution of different EEG spectral bands to obtain region-specific estimates of the HRF. During the motor task, the EEG β-band was found to have a more pronounced contribution to BOLD variations compared to other bands, and the HRF was mainly negative due to β-band desynchronization and post-movement β-rebound. During resting-state, the contribution of different EEG bands and the HRF estimates varied between subjects, possibly due to low SNR and differences in the subjects’ brain state.


Psychoradiology: Depression, Bipolar Disorder, Anxiety & More

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

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Cortical structure mediates the effect of childhood maltreatment on depression relapse during longitudinal follow-up
Harald Kugel1, Nils Opel2, Ronny Redlich2, Katharina Dohm2, Dario Zaremba2, Janik Goltermann2, Jonathan Repple Repple2, Claas Kaehler2,3, Dominik Grotegerd2, Elisabeth J. J. Leehr2, Joscha Böhnlein2, Katharina Förster2, Susanne Meinert2, Verena Enneking2, Lisa Sindermann2, Fanny Dzvonyar2, Daniel Emden2, Ramona Leenings2, Nils Winter2, Tim Hahn2, Walter Heindel1, Ulrike Buhlmann4, Bernhard T. Baune5, Volker Arolt2, and Udo Dannlowski2

1Institute of Clinical Radiology, University of Münster, Münster, Germany, 2Department of Psychiatry, University of Münster, Münster, Germany, 3Department of Mathematics and Computer Science, University of Münster, Münster, Germany, 4Department of Clinical Psychology and Psychotherapy, University of Münster, Münster, Germany, 5Department of Psychiatry, University of Melbourne, Melbourne, Australia

Childhood maltreatment is a strong risk factor for the onset of major depressive disorder (MDD) and associated with unfavorable course of the disease. Both, maltreatment and MDD have been independently associated with structural alterations in partly overlapping brain regions suggesting that brain structural changes could mediate the adverse influence of maltreatment on clinical outcome in MDD. In this study the relationship between childhood trauma, brain structural alterations and adverse disease course was investigated in a longitudinal design. Our results suggest that cortical surface area reductions might mediate the prospective association between early life stress and future depression relapse. 

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Evidence for an association between low-grade peripheral inflammation and brain structural alterations in major depression
Harald Kugel1, Nils Opel2, Micah Cearns3, Scott Clark3, Catherine Toben3, Dominik Grotegerd2, Walter Heindel1, Anja Teuber4, Heike Minnerup4, Matthias Nauck5, Klaus Berger4, Udo Dannlowski2, and Bernhard T. Baune6

1Institute of Clinical Radiology, University of Münster, Münster, Germany, 2Department of Psychiatry, University of Münster, Münster, Germany, 3Discipline of Psychiatry, University of Adelaide, Adelaide, Australia, 4Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany, 5Institute of Laboratory Medicine, University of Greifswald, Greifswald, Germany, 6Department of Psychiatry, University of Melbourne, Melbourne, Australia

Preliminary research suggests that major depressive disorder (MDD) is associated with structural alterations of brain regions relevant for emotion regulation and associated with low-grade peripheral inflammation as indicated by high sensitive C-reactive protein (hsCRP) serum levels. This association between structural brain alterations and low-grade inflammation as potentially interrelated biological correlates of MDD was investigated. In MDD patients, but not healthy controls, prefrontal gray matter volume reductions were significantly associated with higher hsCRP levels.

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Abnormal functional connectivity of ACC sub-regions in patients with major depressive disorders
Xiaolong Peng1, Xiaoping Wu2, Pan Lin3, Ruxue Gong4, Rui Yang5, and Wenzhen Zhu1

1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Department of Radiology, the Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, Xi'an, China, 3Key Laboratory of Cognitive Science, College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, China, 4Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 5Department of Psychiatry, the Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, Xi'an, China

Major depressive disorder (MDD) is a common mental disorder characterized by cognitive and affective deficits. Prior works indicated that anterior cingulate cortex (ACC) is related to high-level cognitive and emotion process, which is also thought to be pivotal to depression. Here, we examined the resting FC of ACC sub-regions in fist-episode MDD patients. The current results revealed reduced ACC sub-regional FC with IPL and SPL while increased FC was found in dmPFC. Additionally, FC with IPL also negatively correlated with symptom severity (HDRS), indicating that depression may disrupt the normal interactions within the DMN. These findings on alteration of ACC sub-regional FC may contribute to the comprehension in pathophysiology of MDD.

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Structural MRI at 7T reveals amygdala nuclei and hippocampal subfield volumetric association with Major Depressive Disorder symptom severity
Stephanie S. G. Brown1, John W. Rutland1, Gaurav Verma1, Rebecca Feldman1, Judy Alper1, Molly Schneider1, Bradley N. Delman1, James Murrough1, and Priti Balchandani1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Subcortical volumetric changes in MDD have been purported to underlie the symptoms of MDD, however, the evidence to date remains inconsistent. Here, we investigated the relationship between structural limbic brain measurements and MDD symptomology through high-resolution segmentation of the amygdala and hippocampus. We report the novel finding that MDD severity is consistently negatively associated with amygdala nuclei, linking volumetric reductions with worsening depressive symptoms. 

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Anomalous functional connectivity in subregional amygdala networks in major depressive disorder
Shi Tang1, Hailong Li1, Lu Lu1, Lianqing Zhang1, Xuan Bu1, Xiaoxiao Hu1, Yingxue Gao1, Xinyu Hu1, Yanlin Wang1, Qiyong Gong1, and Xiaoqi Huang1

1Huaxi Magnetic Resonance Research Center (HMRRC), Chengdu, China

The LB, CM, SF and Astr are four main subregions of the amygdala. In this study, we use seed-based functional connectivity method to determine amygdala network dysfunction in MDD. Compared with HC, patients with major depressive disorder showed hypoconncetivity in AStr/LB- OFC circuits, in CM /SF-brainstem/cerebellum circuits and in AStr/CM/SF-thalamus/striatum circuits. These dysfunction in amygdala networks may modulate different emotional and cognitive function in derpession.

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Abnormal Blood-Brain Barrier Water Permeability in Major Depressive Disorder
Kenneth Wengler1, Kwan Chen2, Turhan Canli3, Christine DeLorenzo4, Mark E Schweitzer2, and Xiang He2

1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiology, Stony Brook University, Stony Brook, NY, United States, 3Psychology, Stony Brook University, Stony Brook, NY, United States, 4Psychiatry, Stony Brook University, Stony Brook, NY, United States

Blood-brain barrier (BBB) disruption may be the key mechanism leading to neuronal dysfunction and neuroinflammation in major depressive disorder (MDD). Active pathways account for a large portion of trans-membrane water exchange, providing a link between BBB water permeability and metabolism. In this study alterations in BBB water permeability parameters, water extraction fraction (Ew) and water permeability surface area product (PSw), in patients with MDD were investigated using the recently developed Intrinsic Diffusivity Encoding of Arterial Labeled Spins (IDEALS) technique. Compared to healthy subjects, MDD patients exhibited significantly lower PSw and Ew with no differences in cerebral blood flow.

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Investigation of Cerebral Small Vessel Disease induced Depression using Diffusion Kurtosis Imaging - A preliminary Region-specific Study
Kun Li1, Dongtao Liu2, Qiao Bu1, Xiuqin Jia3, Rui Jia1, Xiaojiao Pei1, Yuchang Yan1, Xiang Feng4, Qinglei Shi4, Zhenyu Pan1, and Tao Jiang3

1Department of Radiology, Beijing Chaoyang Hospital (Jingxi Campus), Capital Medical University, Beijing, China, 2Department of Neurology, Beijing Chaoyang Hospital (Jingxi Campus), Capital Medical University, Beijing, China, 3Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 4MR Scientific Marketing, Siemens Healthcare, Beijing, China

This abstract presents a preliminary study of cerebral small vessel disease induced depression using diffusion kurtosis imaging (DKI). Different DKI-derived parameters in specific brain structures were compared between depression and non-depression groups, as well as between anxiety and non-anxiety groups. The correlation between DTI- and DKI-derived parameters and clinical scores were also investigated.

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7 Tesla Phase Sensitive Imaging of Brain Regions with Metabolic Alterations in Major Depressive Disorder
Angela Jakary1, Audrey Yin1,2, Scott Mackin3, Stuart Eisendrath3, Janine Lupo1, and Yan Li1

1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2UCSF, San Franciwsco, CA, United States, 3Psychiatry, UCSF, San Francisco, CA, United States

Ultra high-field phase sensitive imaging can help elucidate subtle changes in brain iron content. Recent research implicates brain iron deposition in the pathophysiology of major depressive disorder (MDD). Our previous work involving MDD patients detected symptom-related metabolic alterations in deep brain structures and anterior cingulate cortex. In our current analysis, we apply 7T phase sensitive imaging in these same brain regions to evaluate the role of iron accumulation in neurocognitive and depressive symptoms in this vulnerable population.

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Relationship Between Gray Matter Volume Reductions and TPH1 Polymorphisms in Depressive Disorder Patients with Suicidal Attempts
Geon-Ho Jahng1, Jin Kyung Park2, Seong Jong Yun1, Chang-Woo Ryu1, Wook Jin1, and Dal Mo Yang1

1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Psychiatry, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of

To investigate relationship between gray matter volume (GMV) changes and TPH1 polymorphisms in depressive disorder (DD) patients with suicidal attempts (SA), 13 DD-SA patients and 20 healthy controls were scanned three-dimensional (3D) T1-weighted image to obtain GMV in the brain. In addition, TPH1 rs1800532 and rs1799913 polymorphisms were obtained. The patients showed significant GMV reduction. The right precentral and postcentral gyri GMV values of AA and CA genotypes patients were significantly decreased compared to those of CC genotype subjects, indicating that both GMV reductions and TPH1 A allele may be involved in the pathogenesis of DD-SA patients.

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Alterations of White Matter Tracts in Suicidal and Non-suicidal Brain with Major Depressive Disorder
Kaili Liang1,2, Xuan Bu1, Lianqing Zhang1, Yanli Wang1, Xinyu Hu1, Lu Lu1, Hailong Li1, Xiaoxiao Hu1, Shi Tang1, Yingxue Gao1, and Xiaoqi Huang1

1Huaxi Magnetic Resonance Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2West China School of Public Health, Sichuan University, Chengdu, China

We investigated the white matter alterations at the individual level in MDD patients with and without suicide attempts using Automated Fiber Quantification (AFQ) approach. The three major left hemispheric white matter tracts including arcuate, CST and ATR suggested to play an important role in suicidal brain, which implies deficits of dominant hemisphere specialization with cognitive processes such as reading, writing and speaking. Our study contributes to revealing neurobiological mechanism of suicide attempts.

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Study of gender differences in major depressive disorder by using resting state brain functional magnetic resonance imaging
Lihua Qiu1,2, Lan Mei2, Jingping Mou2, Xinyu Hu1, and Qiyong Gong1

1Radiology, West China Hospital of Sichuan University, Chengdu, China, 2The Second People’s Hospital of Yibin, Yibin, China

Sex differences are observed in epidemiological and clinical symptoms of major depressive disorder (MDD); yet, little is known about about the gender difference of brain function in MDD. In this work, variance analysis were used to assess the sex differences of amplitude of low frequency fluctuation (ALFF) alterations in male, female MDD patients and matched controls. We found the gender differences of ALFF in bilateral caudate nucleus and posterior cingulate gyrus. Our findings suggest that sex specific functional alterations existed in MDD, and these alterations may associated with the clinical symptoms.

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Structural brain abnormalities in MDD patients with suicide: A DARTEL-enhanced voxel-based morphometry study
Huiru Li1, Huawei Zhang1, Li Yin2, Zhiyun Jia1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China

We performed a VBM analysis with DARTEL to analysis the different structure in healthy controls, MDD patients with or without suicidal actors. The result shows suicidal patients had reduced GMV than patient controls in precuneus/cuneus, anterior cingulate cortex and orbital frontal gyrus. Particularly, we found suicidal ideators have reduced GMV in middle frontal gyrus compared to suicidal attempters. Negative correlation was found between clinical characters and volume of some regions. The dysfunction of self-awareness, emotional processing and impulsivity control function caused by the abnormalities of these brain regions may be associated suicidal behavior.

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Hippocampus-related regional and network functional deficits in first-episode drug-naïve major depressive disorder: a resting-state functional MRI study
Xiaoxiao Hu1, Xinyu Hu1, Hailong Li1, Lianqing Zhang1, Lu Lu1, Xuan Bu1, Shi Tang1, Yingxue Gao1, Yanlin Wang1, Qiyong Gong1, and Xiaoqi Huang1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, Chengdu, China

Previous neuroimaging studies have suggested that major depressive disorder (MDD) may be correlated with changes in regional- or network-level brain function. The purposes of the present study were to investigate changes of amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) in bilateral hippocampus by resting-state functional magnetic resonance imaging (rs-fMRI) in first-episode drug-naive major depressive disorder (MDD) patients. Our findings demonstrate that the hippocampus and dACC contribute to the underlying pathophysiology of MDD at an early-stage.

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The Importance of Identifying Functional Val158Met Polymorphism in Catechol-O- Methyltransferase (COMT) when Assessing MRI-based Volumetric Measurements in Major Depressive Disorder
Mario Serrano-Sosa1, Kruthika Sampathgiri2, Christine DeLorenzo2, Ramin Parsey2, and Chuan Huang2,3

1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, 3Radiology, Stony Brook Radiology, Stony Brook, NY, United States

Using voxel-based morphology we investigated the relationship between COMT gene polymorphism and volumetric abnormalities in major depressive disorder patients and healthy controls. A significant difference in the right hippocampus (p=0.015) was found between the interaction of diagnosis and genotype, which suggests that COMT polymorphism must be considered during any volumetric analysis for depression.

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Differences in Brain Microstructural Alterations between Bipolar and Major Depression Revealed by Diffusion Kurtosis Imaging
Daisuke Sawamura1, Khin Khin Tha2, Naoki Hashimoto3, Hisashi Narita3, Shin Nakagawa3, and Hiroki Shirato4

1Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 2Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 3Hokkaido University Hospital, Sapporo, Japan, 4Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan

This prospective study evaluated if bipolar and major depression patients had microstructural brain alterations detectable on DKI. The results showed significant alterations in these patients, of which some clusters correlated with clinical symptoms. Mean kurtosis also differed significantly between the two groups. 

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Studying disease-related brain alterations in bipolar disorder with combined analysis of DKI and VBM
Kouhei Kamiya1,2, Naohiro Okada3, Kingo Sawada3, Kentaro Morita3, Susumu Morita3, Shintaro Kawakami3, Yuichi Suzuki4, Shiori Amemiya1, Harushi Mori1, Akira Kunimatsu1, Koji Kamagata2, Masaaki Hori2, Shigeki Aoki2, Kiyoto Kasai3, and Osamu Abe1

1Department of Radiology, the University of Tokyo, Tokyo, Japan, 2Department of Radiology, Juntendo University, Tokyo, Japan, 3Department of Neuropsychiatry, the University of Tokyo, Tokyo, Japan, 4Department of Radiology, the University of Tokyo Hospital, Tokyo, Japan

Brain abnormalities in bipolar disorder were investigated with diffusion kurtosis imaging and voxel-based morphometry, using a framework for data-driven feature extraction from multivariate data. The result showed two components capturing effect of diagnosis, and these were driven by diffusion kurtosis measures in the white matter including the prefrontal-striatal-thalamic pathways, cerebellum, and medial temporal lobes. Our results indicate diffusion kurtosis imaging can provide unique information that is sensitive to the abnormalities in bipolar disorder, and that interrelationship among different measures is a promising avenue to study neuronal circuits relevant to the disease.

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Altered white matter microstructure correlates with cognitive functions in children and adolescents with bipolar disorder
Tianjia Zhu1,2, Chenying Zhao2,3, Minhui Ouyang2, Ruchir Arvind4, Johanna Saxena4, Sherin Kurian4, Kirti Saxena4, and Hao Huang2,5

1Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 3Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 4Baylor College of Medicine-Texas Children’s Hospital, Houston, TX, United States, 5Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Cognitive impairments and white matter (WM) microstructural alterations have been found in subjects with bipolar disorder (BD). However, the relationship between WM microstructural alterations and impulsivity, a prominent cognitive trait, in children/adolescents with BD is not known. In this study, diffusion MRI and cognitive assessments were obtained from 19 children/adolescents diagnosed with BD and 23 age-matched healthy controls. We found increased radial diffusivity(RD), reflecting disrupted myelin, in major WM tracts such as corpus callosum. Significant correlation between RD in WM tracts regulating impulsivity and response time to affective words was found, suggesting the association between WM myelin disruption and impulsivity.

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Individual Prediction of Symptomatic Converters in Youth Offspring of Bipolar Parents Using Magnetic Resonance Spectroscopy
Wenjing Zhang1, Maxwell Tallman2, Li Yao1, Su Lui1, Qiyong Gong1, and Melissa DelBello2

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, United States

Whether the neurochemicals are associated with the vulnerability of bipolar disorder has not been studied before, findings of which may extend our understanding of neurobiological factors associated with the pathogenesis. In this study, a cohort of bipolar offsprings were enrolled and later divided into two symptomatic (converters) and healthy bipolar offspring (non-converters). Baseline MRS data was obtained and examined in predicting the disorder conversion. The measures of mI, Cr and Cho in the left VLPFC achieved the highest prediction accuracy, which indicated that some specific neurochemicals are associated with the vulnerability of bipolar disorder.

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Altered functional connectivity and spectroscopic metabolites related to treatment response in adolescents with bipolar disorder
Siyi Li1, Wenjing Zhang1, Bo Tao1, and Su Lui1

1Radiology, West China Hospital of Sichuan University, Chengdu, China

The reason for the inconsistency of bipolar disorder (BD) patients’ brain functional status and metabolic levels of treatment response is still not clear. This task-based fMRI study was carried out to figure out the relationship between medication treatment and brain status in function and metabolites. By analyzing functional connectivity and correlating metabolic markers in treatment response and no response BD patients, we found medication can affect the brain functional status and metabolic level in BD patients, and precentral gyrus is a key region during BD illness course.

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Exploring White Matter Functional Networks at Rest in Boys with Attention Deficit/Hyperactivity Disorder Using Clustering Analysis and Tractography
Xuan Bu1, Yingxue Gao1, Hailong Li1, Yanlin Wang1, Lianqing Zhang1, Xinyu Hu1, Shi Tang1, Lu Lu1, Xiaoxiao Hu1, Lanting Guo2, and Xiaoqi Huang1

1Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Mental Health Center, Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Chile

In current study, we identified nine white matter functional networks and their relations to structural white matter fibers identified by DTI. Sensorimotor network and dorsal attention network, which show good spatial correspondence with specific anatomical tracts, present higher amplitude in ADHD. Our results uncover the altered intrinsic functional organization of white matter in ADHD, and indicate that changes in neural activity are encoded in BOLD variations within white matter.

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Stronger small-worldizition of structural networks in drug-naïve children and adolescents with ADHD:A graph theory analysis
Lu Lu1, Shi Tang1, Lianqing Zhang 1, Xinyu Hu1, Xuan Bu1, Hailong Li1, Xiaoxiao Hu1, Yingxue Gao1, Yanlin Wang1, John Adrian Sweeney1,2, Qiyong Gong1, and Xiaoqi Huang1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States

Structural connectomes of patients with ADHD showed a shift toward “stronger small-worldization” which provided a structural basis for higher rates of information transfer in this disorder. These global network alterations, together with increased connectivity within and among DMN and task-positive networks including FPN, DAN and VAN, could lead to disruptions of attention and goal-oriented behavior that are the primary clinical hallmarks of ADHD. 

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Association of explicit memory dysfunction with regional brain volume alterations in patients with generalized anxiety disorder
Chung Man Moon1,2 and Gwang Woo Jeong2

1National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States, 2Radiology, Chonnam National University Medical School, Gwangju, Korea, Republic of

Generalized anxiety disorder (GAD) causes emotional dysregulations and/or cognitive deficits, including excessive anger, impairments of explicit and implicit memories and poor attention. A DARTEL-based voxel-based morphometry (VBM) study for assessing the relationship between morphometric abnormalities and explicit memory dysfunction in patients with GAD has not yet been reported. Therefore, the purpose of this study is to investigate the regional gray matter (GM) and white matter (WM) volume alterations over the whole brain in patients with GAD, as well as the correlation between the brain structural abnormality and explicit memory dysfunction. Our findings would be helpful to understand the association between the brain structure abnormality and the functional deficit in the explicit memory in GAD.

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Brain regional connectome-wide search identified a resting-state functional connectivity locus within precunes associated with rumination symptom severity in mood and anxiety disorders
Masaya Misaki1, Aki Tsuchiyagaito1,2, Obada A Zoubi1,3, Martin Paulus1, and Jerzy Bodurka1,4

1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Japan Society for the Promotion of Science, Tokyo, Japan, 3Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, United States, 4Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States

We identified a precise locus within the precuneus that has resting-state functional connectivity (rsFC) associated with rumination symptom severity for mood and anxiety (MA) disorder patients. We devised brain regional connectome-wide association analysis, which used multivariate distance matrix regression for searching voxels with connectivity correlated with the Ruminative Responses Scale (RRS) within the posterior cingulate cortex and the precuneus. The analysis identified voxels in the precuneus having rsFC significantly associated with RRS. Functional connectivity between the precuneus and bilateral temporoparietal junction (TPJ) had a significant positive correlation with RRS in MA patients but not in the healthy participants.

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Age-related alteration in topological efficiency of structural network in children with autism aged 2-7 years
Minhui Ouyang1, Hua Cheng2, Di Hu2, Limei Song1, Yun Peng2, and Hao Huang1,3

1Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, Beijing Children's Hospital, Capital Medical University, Beijing, China, 3Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Relatively flat white matter (WM) microstructural changes have been found in children with autism spectrum disorder (ASD) aged 2-7 years yet faster WM microstructural maturation in typically developing (TD) children were observed. In this study, we further investigated the WM structural networks in children with ASD and TD children using diffusion MRI tractography and graph-theory-based analysis. Higher global and local topological efficiencies were found in the ASD. Similar to age-related WM microstructural maturation pattern, the global, local and nodal efficiencies established with structural network increase significantly faster in TD children than those in children with ASD. 

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Functional and Structural Abnormality in Patients with Alcohol Use Disorder Combined VBM and FC Analysis
Yaqi Wang1 and Jun Chen1

1Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China

We combined voxel-based morphometry (VBM) and seed-based functional connectivity (FC) analysis to identify functional and structural characteristics in patients with alcohol use disorder using high resolution T1-weighted structure images and functional MRI. AUD group showed significantly decreased gray matter volume mainly in the default mode network, and decreased FC in the default mode network and executive control network when compared with the HC group. Combining VBM and FC provides a new perspective on the pathophysiological and clinical manifestations in AUD patients.


Segmentation & Processing

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

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Along-tract statistics of NODDI diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with glioma
Valentina Pieri1, Francesco Sanvito1, Sara Cirillo1, Marco Riva2,3, Andrea Falini1, and Antonella Castellano1

1Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy, 3Unit of Oncological Neurosurgery, Humanitas Research Hospital, Rozzano (MI), Italy

Along-tract statistical extraction of quantitative diffusion metrics is crucial to unravel the variability of these parameters within white matter fiber bundles. Here for the first time we extracted NODDI-derived microstructural diffusion estimates along the main eloquent fiber tracts in fifteen healthy subjects and in a pilot cohort of glioma patients. We constructed a robust reference database of normative along-tract microstructural values to describe the anatomical variability of NODDI metrics within tracts and to localize and quantify differences in pathological cases. Normal and pathological conditions can be statistically compared between-groups, as well as at the single-subject level. 

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Evaluation of Compressed SENSE in Quantitative Susceptibility Mapping
Katsuhiro Inoue1, Shiho Isoshima1, Maki Umino2, Tsunehiro Yamahata1, Shinichi Takase1, Makoto Obara3, Hajime Sakuma2, and Masayuki Maeda4

1Department of Radiology, Mie University Hospital, Tsu, Mie, Japan, 2Department of Radiology, Mie University School of Medicine, Tsu, Mie, Japan, 3MR Clinical Science, Philips Japan, Tokyo, Japan, 4Department of Advanced Diagnostic Imaging, Mie University School of Medicine, Tsu, Japan

Quantitative Susceptibility Mapping (QSM) is reportedly useful for the early diagnosis of Parkinson’s disease. However, the imaging time for QSM is very long because of the additional acquisition of 3D FFE; compressed SENSE (C-SENSE) could resolve this problem. The susceptibility values of the putamen, globus pallidus, caudate nucleus, substantia nigra, and nucleus ruber in seven healthy volunteers were measured as well as evaluated using SENSE and C-SENSE QSM. The results suggest that good reproducibility and validity for C-SENSE QSM can be obtained when high factors are used. C-SENSE QSM can reduce acquisition time, and is therefore expected to be widely used in the clinical setting.

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A Surface-Constrained Dynamic Elasticity Model for Deformable Registration of Infant Brain MRI
Sahar Ahmad1, Zhengwang Wu1, Gang Li1, Li Wang1, Weili Lin1, Pew-Thian Yap1, and Dinggang Shen1

1Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, United States

Spatial registration of infant brain images is challenging owing to significant changes in image appearance in association with rapid growth in the first year of life. In this abstract, we introduce a volumetric registration method that is constrained by cortical correspondences for consistent cortical and sub-cortical alignment.

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Robust, Atlas-Free, Automatic Segmentation of Brain MRI in Health and Disease
Govind Nair1, Kartiga Selvaganesan1, Emily Whitehead1, Paba M DeAlwis1, Mathew K Schindler1, Bryan Smith1, Avindra Nath1, Steven Jacobson1, Daniel S Reich1, Ziad Saad2, Souheil Inati3, and Sara Inati1

1NINDS, National Institutes of Health, Bethesda, MD, United States, 2NIMH, National Institutes of Health, Bethesda, MD, United States, 3Inati Analytics, Potomac, MD, United States

An atlas-free, brain-segmentation algorithm that uses derivative-based features and logistic regression classifier was optimized and tested on images of healthy volunteers and individuals clinically diagnosed with a variety of neuroimmunological diseases.The algorithm was trained to classify gray and white matter, CSF, globus pallidus, white matter lesions, and “other” tissue classes from all the images routinely acquired at our center. The algorithm achieved highly accurate brain segmentations and outperformed widely used techniques for brain segmentation and lesion detection. The algorithm has been found to be versatile in brain segmentation using images acquired at other collaborator sites.

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Effect of fitting models and its error analysis in GRE based MWI
Junghyeob Kim1, Hongpyo Lee1, and Dong-Hyun Kim1

1Electrical & Electronic Engineering, Yonsei university, Seoul, Korea, Republic of

The MWF fitting through the GRE sequence was performed in various models to determine which model is effective. Models such as magnitude 2-, 3-pool, complex 2-, and 3-pool modeling were used.

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Deep learning-based diffusion method alleviates spurious group differences due to head motion
Ting Gong1, Hongjian He1, Zhiwei Li2, Zhichao Lin2, Feng Yu2, and Jianhui Zhong1,3

1Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China, 2Department of Instrument Science & Technology, Zhejiang University, Hangzhou, China, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States

Head motion occurring during the acquisition of diffusion-weighted (DW) images will cause deterioration in quality of diffusion model reconstruction, which could lead to spurious group differences of DW measures when there is difference in head motion for different groups. We have previously developed a method for robust diffusion kurtosis mapping of motion-contaminated data. In this study, we applied it in a group level, and the results demonstrated its ability in ameliorating spurious group differences due to head motion. The method can be applied to data with different motion level thus improving the utilization and statistic power of some valuable but motion-corrupted DW data.

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ExploreASL: a collaborative effort to process and explore multi-center ASL data
Henk Jan Mutsaerts1, Jan Petr2, Paul Groot1, Silvia Ingala1, Andrew Robertson3, Lena Vaclavu1, Inge Groote4, Hugo Kuijf5, Owen O'Daly6, Fernando Zelaya6, Pieter Vandemaele7, Alle Meije Wink1, Ilse Kant5, Matthan Caan1, Catherine Morgan8, Jeroen de Bresser5, Elisabeth Lysvik4, Anouk Schrantee1, Zahra Shirzadi9, Joost Kuijer1, Udunna Anazodo10, Edo Richard1, Reinoud Bokkers11, Liesbeth Reneman1, Mario Masellis9, Eric Achten7, Matthias Günther12, Bradley MacIntosh9, Xavier Golay13, Jeroen Hendrikse5, Michael Chapell14, Matthias van Osch15, David Thomas13, Enrico De Vita16, Atle Bjornerud4, Aart Nederveen1, Iris Asllani17, and Frederik Barkhof1

1Amsterdam University Medical Center, Amsterdam, Netherlands, 2Helmholtz-Zentrum Dresden-Rossendorf, Institute for Radiopharmaceutical Cancer Research, Dresden, Germany, 3Schlegel-UW Research Institute for Aging, University of Waterloo, Waterloo, ON, Canada, 4University of Oslo, Oslo, Norway, 5University Medical Center Utrecht, Utrecht, Netherlands, 6Institute of Psychology, Kings College London, London, United Kingdom, 7Ghent University Hospital, Ghent, Belgium, 8University of Auckland, Auckland, New Zealand, 9Sunnybrook Research Institute, Toronto, ON, Canada, 10Lawson Health Research Institute, London, ON, Canada, 11University Medical Center Groningen, Groningen, Netherlands, 12Mevis Fraunhofer, Bremen, Germany, 13University College London, London, United Kingdom, 14Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 15Leiden University Medical Center, Leiden, Netherlands, 16Kings College London, London, United Kingdom, 17Rochester Institute of Technology, Rochester, NY, United States

Arterial spin labeling (ASL) has undergone significant development since its inception; yet, standardized images processing procedures remain elusive. We present ExploreASL, a robust open source ASL image processing pipeline for clinical studies. Initiated through the European COST action ASL network, this joint effort provides integration and analysis of both single- and multi-center datasets across different operating systems. ExploreASL is optimized for both native- and standard-space analyses, and provides visual and automatic quality control on all intermediate and final images, allowing exploration of  ASL datasets from multiple perspectives.

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Artificial Observer and Cost Function for Image Registration, MARLINA: Mean Absolute Regional LINear correlation Algorithm
Roman Fleysher1, Lazar Fleysher2, Asif Suri1, Molly Zimmerman3, Mark Jenkinson4, Craig A Branch1, and Michael L Lipton1

1Department of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 2Department of Radiology, Mount Sinai School of Medicine, New York, NY, United States, 3Department of Psychology, Fordham University, Bronx, NY, United States, 4Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, University of Oxford, Oxford, United Kingdom

Upon visual inspection of intra-subject rigid body registrations in large studies, we have observed higher than desired rate of unsatisfactory alignments. To address misregistartions, we designed a battery of 13 candidate transformations, one of which was selected as best  during visual inspection. Tediousness of the inspections stimulated development of artificial observer to aid and subsequently to replace the human inspector. Here, we describe artificial observer MARLINA, characterize its ability to identify the best rigid body transformation as compared to human inspectors and propose it as a future cost function. 

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A novel DWI-based thalamus segmentation method using Constrained Spherical Deconvolution
Charles Iglehart1, Adam Bernstein2, Martin Monti3,4, Joshua A. Cain3, and Manojkumar Saranathan1,5

1Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 3Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States, 4Department of Neurosurgery Brain Research Center, University of California, Los Angeles, Los Angeles, CA, United States, 5Department of Medical Imaging, University of Arizona, Tucson, AZ, United States

Existing methods to segment the thalamus via diffusion weighted MRI are inhibited by several factors. The largely gray matter composition of the thalamus makes the local diffusion activity indistinct and some of the more successful DWI-based methods require time consuming and computationally expensive cortical parcellation for thalamus masking. This study addresses these limitations by using multi-tissue constrained spherical deconvolution to isolate desired diffusion activity and a novel template based technique for thalamus masking. Segmentation outputs are evaluated and we conclude with a discussion of the method’s advantages over existing techniques.

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A comparison of structural and diffusion-based MRI thalamus segmentation methods
Charles Iglehart1, Martin Monti2,3, Joshua A. Cain2, and Manojkumar Saranathan1,4

1Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Neurosurgery Brain Research Center, University of California, Los Angeles, Los Angeles, CA, United States, 4Department of Medical Imaging, University of Arizona, Tucson, AZ, United States

Automatic thalamus segmentation is a field of study with rapidly evolving applications. Both structural and diffusion weighted MRI can be used to drive parcellations of thalamus nuclei. In this study we present a comparison of leading structural and DWI-based segmentation techniques as implemented on a common set of subject datasets. Results for each are compared, both against an established anatomical atlas and each other. Spatial consistency of nuclei are examined in common template space. Finally, strengths and weaknesses of both techniques are discussed.

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Comparison of Phase-Sensitive Inversion Recovery from MPRAGE and MP2RAGE
Jing Zhang1, Danny HC Kim2, Dan Rettmann3, and Bruce Bjornson2

1Global MR Applications & Workflow, GE Healthcare Canada, Vancouver, BC, Canada, 2Division of Neurology, Department of Pediatrics, BC Children’s Hospital and University of British Columbia, Vancouver, BC, Canada, 3Global MR Applications & Workflow, GE Healthcare, Rochester, MN, United States

In this work, we obtained phase sensitive inversion recovery (PSIR) signal from MPRAGE and MP2RAGE sequences. Both PSIR images have better image contrast than magnitude images. The PSIR from MPRAGE requires shorter acquisition time, however, PSIR from MP2RAGE provides better contrast and has no $$$B_1$$$ field inhomogeneity effect. Selection of which PSIR technique to use may depend on study aims.

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Phase-Sensitive Inversion Recovery and T1 Mapping with Motion Correction
Jing Zhang1, Danny HC Kim2, Dan Rettmann3, and Bruce Bjornson2

1Global MR Applications & Workflow, GE Healthcare Canada, Vancouver, BC, Canada, 2Division of Neurology, Department of Pediatrics, BC Children’s Hospital and University of British Columbia, Vancouver, BC, Canada, 3Global MR Applications & Workflow, GE Healthcare, Rochester, MN, United States

In this work, we propose a novel motion corrected Phase Sensitive Inversion Recovery (PSIR) method with integrated T1 mapping derived from MP2RAGE acquisition. Motion correction is achieved using PROMO (PROspective MOtion correction), as well as Optimal Weighted Average (OWA) combination of multichannel data. This proposed method will be useful in obtaining high quality T1 images for children and other subjects who are prone to move during scans.

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Towards Validating Structural Connectivity in the Human Language System: an Intraoperative Cortico-Cortical Stimulation Experiment
Patryk Filipiak1, Fabien Almairac2, Théodore Papadopoulo1, Denys Fontaine2, Lydiane Mondot2, Stéphan Chanelet2, Maxime Descoteaux3, Rachid Deriche1, Maureen Clerc1, and Demian Wassermann1,4

1INRIA Sophia Antipolis-Méditerranée, Université Côte d'Azur, Valbonne, France, 2Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France, 3Sherbrooke Connectivity Imaging Lab (SCIL), University of Sherbrooke, Sherbrooke, QC, Canada, 4INRIA, CEA, Université Paris-Saclay, Paris, France

We validate structural connectivity measures based on diffusion MRI with Electrical Stimulation (ES) of the human brain cortex. For this, we combine white matter fiber tractography with propagation of Cortico-Cortical Evoked Potentials (CCEPs) induced by intrasurgical ES in the language system of brain tumor patients. Our results show high correlation (Pearson's coefficient 0.5-0.9) between delays of CCEPs and pathways connecting stimulation sites with recording electrodes. Our approach outperforms earlier study based on Diffusion Tensor Imaging. This potentially indicates that probabilistic tractography is an effective tool to quantify cortico-cortical communication non-invasively.


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Assessment of cerebral venous outflow rates with 4D arterial spin labeling vessel-selective angiography
Sidy Fall1, Serge Metanbou2, Garance Arbeaumont2, Caroline Fournez2, and Olivier Baledent1,3

1Facing Faces Institute/CHIMERE EA 7516, University of Picardy, Amiens, France, 2Radiology Department, University Hospital of Picardy, Amiens, France, 3Medical Image Processing Department, University Hospital of Picardy, Amiens, France

4D arterial spin labeling (ASL) angiography has gained attention in the diagnosis of cerebrovascular diseases. The aim of this study was to evaluate the feasibility for estimating blood flow rates of the cerebral drainage system using data obtained by a 4D ASL angiography sequence. Data of a 4D ASL angiography acquisition provided comparable flow measurements to those of a standard 2D phase-contrast MR imaging sequence in 12 subjects. We demonstrated that both detailed morphological information and flows rates can be obtained by using a single 4D ASL angiography acquisition.

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Toblerone: partial volume estimation on the cortical ribbon
Thomas Kirk1,2, Timothy Coalson3, Flora Kennedy McConnell1,2, and Michael Chappell1,2

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Department of Neuroscience, Washington University School of Medicine, St Louis, MO, United States

Toblerone is a new method for estimating partial volumes on the cortical ribbon using surfaces as input (eg those produced by FreeSurfer). Evaluation has been performed using both simulations and subjects drawn from the Human Connectome Project. The estimates returned differ from those produced by existing tools such as FSL's FAST, which will have implications for the analysis of functional imaging data (notably ASL). A preliminary analysis of an ASL dataset has been performed using Toblerone's PV estimates. 

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Automatic segmentation of thalamic nuclei using multiple imaging modalities at ultrahigh field
Gaurav Verma1, John W. Rutland1, Rebecca Emily Feldman1, Bradley Neil Delman2, and Priti Balchandani1

1Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Segmenting gray matter structures within the thalamus is complicated by poor inherent T1/T2 contrast. Most existing approaches focus on clustering diffusion data including fiber orientation and short & long distance diffusion directions. We propose a hybrid approach incorporating diffusion data with a recently-developed high T1 contrast imaging sequence known as FGATIR. The proposed algorithm clusters on spatial position, fiber orientation distribution coefficients and anatomical contrast to provide robust, yet fast and fully-automatic segmentation of the thalamic nuclei showing strong agreement to manual segmentation performed by a neuroradiologist. Reliable thalamic nuclei segmentation could facilitate targeted therapies like deep brain stimulation.

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Automatic segmentation of deep grey matter structures for iron quantification
Ying Wang1, Yongsheng Chen2,3, David T Utriainen2,4, and Ewart Mark Haacke1,2,3,4

1Biomedical Engineering, Wayne State University, Detroit, MI, United States, 2The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 3Radiology, Wayne State University, Detroit, MI, United States, 4Magnetic Resonance Innovations Inc., Bingham Farms, MI, United States

Quantitative susceptibility mapping (QSM) is a promising iron quantification method for assessing subcortical deep gray matter (SGM) in various neurodegenerative diseases. The accuracy of the measurement depends largely on the accuracy of the structural segmentation. Manually drawn regions-of-interest from a well-trained specialist are often the best but are very time-consuming. In this work, we propose an automatic segmentation method for DGM iron quantification by taking advantage of a hybrid image approach combining T1W images and QSM data. Preliminary results on 5 stroke patients presented an overall 77.8±5.8% Dice coefficient compared to the manually drawn ground truth.  The measured susceptibility of the DGM showed good agreement between both methods. 

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A Simple Homogeneity Correction for Neuroimaging at 7T
Korbinian Eckstein1, Siegfried Trattnig1, and Simon Daniel Robinson1

1High Field Magnetic Resonance Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

A wide range of MR sequences produce inhomogeneous magnitude images due to the coil sensitivity variation over the head, which is especially severe for ultra-high field strengths. The optimum solution would be a homogeneous reference coil, which however is not possible at 7T due to the shorter wavelength. To date, correction methods require a very long computation time rendering them impractical for on-console imaging. We propose a new magnitude inhomogeneity correction approach, which is based on simplified segmentation and fast interpolation to estimate the bias field. The resulting images show high homogeneity across all three dimensions without any visible artifacts.

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Exploiting MPRAGE phase to improve Globus Pallidus segmentation
Nashwan Naji1 and Alan Wilman1

1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada

A Quantitative Susceptibility Map can be generated from MPRAGE phase and used to improve Globus Pallidus segmentation. This proposal does not require an additional GRE scan and thus saves time and minimizes possible motion and intermodal registration/interpolation related errors.  

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Quantitative measurements of three-dimensional vessel tortuosity for cerebrovascular risk assessment: A pilot study
Yoon-Chul Kim1, Ha-Na Song2, Ji-Eun Lee2, In-Young Baek2, and Woo-Keun Seo2

1Clinical Research Institute, Samsung Medical Center, Sungkyunkwan Univ., Seoul, Korea, Republic of, 2Department of Neurology, Samsung Medical Center, Sungkyunkwan Univ., Seoul, Korea, Republic of

Knowledge of intracranial vessel morphology may be important in predicting the risk of acute ischemic stroke. The three-dimensional nature of the vessels would make it challenging to measure vessels' segmental lengths, unless a software tool dedicated to the purpose is available. The goal of this study is to develop a customized graphical user interface that facilitates users' measurement of intracranial vessel tortuosity in an easy and interactive manner. Using the proposed tool, vessel branch lengths and vessel tortuosity data were collected from 11 proximal vessel segments (e.g., middle cerebral artery, anterior cerebral artery) of 532 subjects.

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Quantitative Analysis of Punctate White Matter Lesions Using Quantitative Susceptibility Mapping and R2* Relaxation
Yuting Zhang1, Alexander Rauscher2, and Alexander Mark Weber2

1Children’s Hospital of Chongqing Medical University, Chongqing, China, 2UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada

Objectives: Our aim was to distinguish PWMLs and focal hemorrhage lesions using quantitative measures. Materials and Methods: In the current study, we acquired multi-echo gradient echo MRI data in neonates with hypoxic ischemic encephalopathy, and post-processed them as R2* relaxation maps and quantitative susceptibility maps (QSM). Manually drawing regions of interest (ROIs) on R2* maps, we measured R2* and susceptibility values of the lesions. Results: We found that R2* and susceptibility values are significantly increased in focal hemorrhage lesions, compared to PWMLs. Conclusions: R2* and QSM can be used to help clinicians distinguish and measure these lesions.

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Reproducibility of SIENAX volumetric outputs over intra-session, inter-session and inter-scanner acquisitions
Guillem Garcia1, David Moreno-Dominguez1, Matt Rowe1, Vesna Prckovska1, and Paulo Rodrigues1

1QMENTA Inc., Barcelona, Spain

Automatic tissue segmentation tools are common in the neuroimaging field. Evaluating their reliability is necessary to validate the findings of studies that use these tools. We conducted a reliability analysis for SIENAX in a test-retest dataset and a multi-site dataset. The results were analysed and compared with other automatic segmentation tools. The volumetric outputs of SIENAX show low coefficients of variance for the test-retest dataset in both grey matter (1.11%) and white matter (0.69%). In the multi-site data the results were to 3.95% and 6.47% respectively, suggesting a possible need for data harmonization in multi-site studies.

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Comparison of Gradient Echo and Gradient Echo Sampling of Spin Echo Sequence for the Quantification of the Oxygen Extraction Fraction by Combining Quantitative Susceptibility Mapping and Blood Oxygenation Level Dependency
Simon Hubertus1, Sebastian Thomas1, Junghun Cho2, Shun Zhang3,4, Yi Wang2,3, and Lothar R. Schad1

1Computer Assisted Clincial Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States, 3Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 4Department of Radiology, Tongji Hospital, Wuhan, China

The oxygen extraction fraction (OEF) is a promising biomarker for cerebral tissue vitality. Combining quantitative blood oxygenation level-dependent (qBOLD) modelling and quantitative susceptibility mapping (QSM) from gradient echo (GRE) data revealed promising results but still suffered from biases in white matter and required good parameter initialization. We showed that using an additional gradient echo sampling of spin echo (GESSE) sequence enables OEF reconstruction with higher accuracy, precision and robustness to parameter initialization in simulation. Yet, this increased robustness did still not allow for parameter initialization without prior knowledge of local distributions in vivo, which lead to a non-physiological gray-white matter contrast in the OEF. 

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Direct reconstruction of arterial blood flow (aBF) from undersampled golden-angle radial non-contrast enhanced dynamic 4D MR angiography
Ziwei Zhao1,2, Kai Wang1, Danny JJ Wang1, and Lirong Yan1

1Laboratory of Functional MRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Department of Neurology, University of Southern California, Los Angeles, CA, United States, 2Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States

Quantification of hemodynamics benefits clinical diagnosis. Non-contrast enhanced MRA with golden-angle radial acquisition has capability of characterization of dynamic flow with high spatiotemporal resolution within a short scan time. Here, we proposed a direct reconstruction framework of arterial blood flow (aBF) from undersampled radial dMRA K-t space data, which mitigated streaking artifacts induced by image-based reconstruction. Both simulation and experimental data suggested that direct optimization method provides reliable aBF under different undersampling rates while preserving detailed delineation of vascular structures, compared to the conventional post-processing singular value decomposition (SVD) method.

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Ultra-fast EPI sampling of pulsatile flow waveforms in cerebral arteries via retrospective binning of k-space lines
Joseph Whittaker1, Marcello Venzi1, Fabrizio Fasano2,3, Daniel Gallichan4, and Kevin Murphy1

1CUBRIC, School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Healthcare Ltd, Camberly, United Kingdom, 4CUBRIC, School of Engineering, Cardiff, United Kingdom

Flow related signal enhancement in ultra-fast EPI allows imaging of cardiac pulsatile blood flow profiles in cerebral arteries. We present a novel method that uses retrospective binning of k-space lines to make cardiac phase ‘composite’ k-space planes, from which pulsatile waveforms can be reconstructed with extremely high temporal resolution (~2ms).  We demonstrate the proof-of-principle for obtaining pulse wave velocity measures in cerebral arteries, paving the way for mapping quantitative arterial stiffness measures across the brain.


Stroke

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

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Data-driven regularized inversion (DRI) for improved QSM+qBOLD based CMRO2 Mapping: a feasibility study in healthy subjects and ischemic stroke patients
Junghun Cho1, Shun Zhang2, Youngwook Kee3, Pascal Spincemaille3, Thanh Nguyen3, Simon Hubertus4, Ajay Gupta3, and Yi Wang1,3

1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Tongji Hospital, Wuhan, China, 3Radiology, Weill Cornell Medical College, New York, NY, United States, 4Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany

We propose the use of machine-learning to improve the accuracy of a QSM+qBOLD model based Cerebral metabolic rate of oxygen (CMRO2) and oxygen extraction fraction (OEF) mapping. The proposed method, data-driven regularized inversion or DRI, significantly outperformed, in simulation, the current method at all SNR levels. In n=11 healthy subjects, uniform OEF maps were obtained as expected. In n=18 ischemic stroke patients, low OEF regions were clearly located within the lesion region as defined by DWI.

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The effect of scan length on the assessment of perfusion using BOLD delay in ischemic stroke
Ayse Ceren Tanritanir1, Kersten Villringer1, Ivana Galinovic1, Ulrike Grittner2,3, Evgeniya Kirilina4,5, Jochen B. Fiebach1, Arno Villringer6,7, and Ahmed A. Khalil1,6,7

1Center for Stroke Research, Charité University of Medicine, Berlin, Germany, 2Institute of Biometry and Clinical Epidemiology, Charité University of Medicine, Berlin, Germany, 3Berlin Institute of Health (BIH), Berlin, Germany, 4Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 5Center for Cognitive Neuroscience, Free University, Berlin, Germany, 6Department of Neurology, Max Planck Institute for Human Cognitive and Brain, Leipzig, Germany, 7School of Mind and Brain, Humboldt University, Berlin, Germany

Hypoperfusion in acute stroke can be detected without exogenous contrast agents  using BOLD delay. However the effect of scan duration on assessing perfusion using this method hasn’t been systematically evaluated. This study researched the effect of different scan lengths on diagnostic accuracy and  image quality of BOLD delay maps while accounting for head motion. Our results revealed that  scan time can be reduced to 3 min and 24 sec without compromising  diagnostic power and image quality. However, lesion volumes were robust down to a scan length of 1 min and 8 sec.

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Cerebral Venous Blood Volume Estimation Using Velocity-Selective Spin Labeling Prepared Single-Slab Three-Dimensional Turbo Spin Echo Imaging
Hyunyeol Lee1 and Felix W Wehrli1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States

Venous CBV (CBVv) is of relevance to brain oxygenation level changes during functional activation. To date, MRI techniques for CBVv mapping fall into two categories, based on a 1) quantitative BOLD (qBOLD) model of extravascular signals, and 2) hyperoxic stimulus induced changes in intravascular signal. However, in the former estimation accuracy is impaired due to mutual coupling between CBVv and Yv in the model, while the latter suffers from the complexities in both experiments and estimation involving multiple parameters. Here, we propose velocity-selective spin labeling prepared single-slab 3D TSE imaging for straightforward derivation of CBVv maps in the whole brain. Results from three subjects show plausible values of CBVv estimates in the range of 1.9 - 3.3 % and 1.1 - 2.1 % for gray and white matter, respectively.

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Intrinsic vulnerability of low blood flow watershed to white matter hyperintensities in cerebral small vessel disease
Chunwei Ying1, Andria L. Ford2, Peter Kang2, Alla Al-Habib2, Slim Fellah2, Yasheng Chen2, Jin-Moo Lee1,2, and Hongyu An1

1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States

White matter hyperintensities (WMH), a major neuroradiological feature of cerebral small vessel disease (CSVD), have a characteristic spatial distribution in the deep white matter and periventricular regions. In this study, we demonstrated a striking spatial overlap between WMH lesion hot spots and the watershed region, defined by a nadir in CBF within the white matter, suggesting that watershed is a region with intrinsic vulnerability to CSVD-related injury.

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Focal corticospinal tract volume loss following stroke characterized by diffusion tensor based morphometry (D-TBM)
Amritha Nayak1,2, Matthew Edwardson3,4, Pooja Modi5, Neda Sadeghi1, and Carlo Pierpaoli1

1Quantitative Medical Imaging Section, NIBIB,NIH, Bethesda, MD, United States, 2The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, United States, 3Georgetown University, Washington D.C, DC, United States, 4Georgetown University and MedStar National Rehabilitation Hospital, Washington D.C, DC, United States, 5NICHD,NIH, Bethesda, MD, United States

Use of a diffusion tensor-based registration method to compare different scans within each subject and to map the results into a population template that can ultimately be used to stratify patients with different motor recovery outcome in stroke.


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Evaluation clinical outcome using mismatch between baseline mean diffusion and kurtosis MRI in focal ischemic stroke
Min Tang1, Wei Di1, Xin Zhang1, Jie Gao1, Xiaoling Zhang1, Xiaohong Wu1, and Zhizheng Zhuo2

1Shaanxi Provincial People`s Hospital, xi`an, China, 2Clinical science, Philips Healthcare China, Beijin, China

To observe the cerebral microstructural alterations after focal ischemic stroke by using DKI  and assess whether patients are likely to benefit from treated with intravenous tPA at onset of stroke when mean diffusion and kurtosis MRI mismatchs. 58 patients were enrolled. AK, RK and MK values were increased in ischemic lesions, which indicate heterogeneity and complexity of microstructural tissues at onset of stroke. MD-AK mismatch patients? recovered reasonably well with intravenous tPA at onset of stroke, whereas MD-AK mismatch patients without intravenous tPA and coincidence MD-AK of lesions volume showed poor recovery. MD-AK mismatch could be used to identify patients from baseline DKI who are likely to benefit from intravenous thrombolysis at onset of stroke.

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Using Vascular Territories to Predict Disconnection Profiles in Post-Stroke Aphasia
Natalie Busby1, Ajay D Halai1,2, Ying Zhao3, Geoff J.M. Parker4,5, and Matt Lambon Ralph1,2

1Neuroscience and Aphasia Research Unit, Division of Neuroscience and Experimental Psychology, School of Biological Sciences, University of Manchester, Manchester, United Kingdom, 2MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom, 3Department of Psychology, University of Cambridge, Cambridge, United Kingdom, 4Quantitative Biomedical Imaging Laboratory, Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 5Bioxydyn Ltd., Rutherford House, Manchester, Manchester, United Kingdom

Damage sustained to the brain post-stroke appears random but it may be constrained by the underlying neurovasculature; brain regions supplied by the occluded arterial branch will be affected. Combinations of vascular territories were matched to lesions from 62 post-stroke patients. Anatomical connectivity mapping, a measure of whole-brain connectivity, was used to estimate disconnection in each patient through summing disconnection associated with the territories which best matched their lesion. This novel methodology demonstrated that disconnection following a left-hemispheric stroke can be explained by the underlying neurovasculature and may be of particular interest when no diffusion data is available in the patient. 

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Differential Middle Cerebral Artery Plaque Characteristics in Patients with Transient Ischemic Attack and Ischemic Stroke: A High-Resolution MR Vessel Wall Imaging Study
Jiayu Xiao1, Qi Yang2, Zhaoyang Fan1, Shujuan Li3, Fang Wu2, Debiao Li1, and Tao Jiang4

1Biomedical Imaging Research Institute, Cedars Sinai Medical Center, los angeles, CA, United States, 2Radiology, Xuanwu Hospital Capital Medical University, Beijing, China, 3Neurology, Beijing Chaoyang Hospital, Capital Medical university, Beijing, China, 4Radiology, Beijing Chaoyang Hospital, Capital Medical university, Beijing, China

This study is to compare the characteristics of intracranial plaques between TIA and stroke patients using VWI. Sixty-two patients (31 TIA and 31 stroke) with MCA stenosis were enrolled in the study. Routine brain MRI, TOF-MRA, pre and post- contrast VWI were performed on each patient. Morphological features of the culprit plaque were compared between the two groups. TIA group had a lower occurrence of hyperintensity plaque, plaque surface irregularity and enhancement grade, those features showed no statistically significant differences and also the degree of stenosis and RI. VWI is useful modality for assessing the intracranial plaques in TIA patients. 

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Diffusion lesion segmentation with deep learning in acute ischemic stroke: A combined use of DWI and ADC
Yoon-Chul Kim1, Ji-Eun Lee2, Inwu Yu2, Ha-Na Song2, In-Young Baek2, Joon-Kyung Seong3, and Woo-Keun Seo2

1Clinical Research Institute, Samsung Medical Center, Sungkyunkwan Univ., Seoul, Korea, Republic of, 2Department of Neurology, Samsung Medical Center, Sungkyunkwan Univ., Seoul, Korea, Republic of, 3Department of Biomedical Engineering, Korea University, Seoul, Korea, Republic of

Conventional deep learning methods for cerebral infarct segmentation rely on diffusion weighted images (DWI) only. Meanwhile, traditional cerebral diffusion lesion segmentation is typically based on a fixed apparent diffusion coefficient (ADC) threshold. It may be worthwhile to combine DWI and ADC images and use them as input for model training. The objective of this study is to develop a deep-learning segmentation model that takes DWI and ADC as input and produces a segmentation map as output and evaluate its performance.

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Neurodegeneration of the substantia nigra after ipsilateral infarct: quantification with MRI R2* mapping and relationship to clinical outcome
Tourdias Thomas1,2, Pierre Antoine Linck1, Gregory Kuchcinski3, Fanny Munsch4, Romain Griffier5, Renaud Lopes3, Gosuke Okubo1, Sharmila Sagnier6, Pauline Renou6, Julien Asselineau5, Paul Perez5, Vincent Dousset1, and Igor Sibon6

1Neuroimaging Dept., Bordeaux University hospital, Bordeaux, France, 2INSERM U1215, University of Bordeaux, Bordeaux, France, 3Neuroimaging Dept., Lille University hospital, Lille, France, 4Division of MRI research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 5USMR Dept., Bordeaux University hospital, Bordeaux, France, 6Neurology Dept., Bordeaux University hospital, Bordeaux, France

We tested whether long-term neurodegeneration of substantia nigra (SN) secondary to disconnection by supra-tentorial infarcts can be quantified with iron-sensitive imaging and contributes to clinical outcome. 181 stroke patients (75 striatum infarcts, 106 other locations) were prospectively evaluated at 24-to-72h and at one-year clinically and with MRI to quantify iron through R2*. We showed a delayed increase of R2* within SN that was strongly and independently associated with infarct location along known anatomic projections from SN. Such increase of R2* was an independent contributor of poor motor outcome. Iron-sensitive imaging can monitor neurodegeneration non-invasively within SN and potentially other areas.

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Remote Effect of Ischemic Stroke: Anatomical Specification of Oxygenation Alteration Investigated by Voxel Based R2' Quantification
Chunxiang Jiang1,2, Xiaojing Long1, Siqi Cai1, Li Yi3, and Lijuan Zhang1

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Peking University Shenzhen Hospital, Shenzhen, China

Ischemic stroke (IS) may induce oxygenation alterations in brain regions remote to the lesion. Remote effect of IS in terms of oxygen metabolism was evaluated based on the voxel wise R2' quantification for subjects with first ever single lesioned IS in corona radiata (CR) (n=10) and brainstem (n=6) using R2' of the superior sagittal sinus as the reference. Both CR and brainstem IS groups showed significant changes of R2' in distributed brain regions with anatomical specifications, suggesting that IS rather represents a spectrum of pathophysiological events of hemodynamic and metabolic impairments at the global level than a focal vascular failure.

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Age Specific Differences in Association Between White Matter Cerebral Blood Flow and Ischemic Lesion Severity
Hualu Han1, Dongye Li1, Huiyu Qiao1, Dandan Yang1, Zhensen Chen2, Runhua Zhang3,4, Gaifen Liu3,4, and Xihai Zhao1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China, 2Department of Radiology, University of Washington, Seattle, WA, United States, 3Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4China National Clinical Research Center for Neurological Diseases, Beijing, China

White matter lesion (WML), one of the sequelae of cerebral hypoperfusion, accumulates with age. This study sought to investigate the relationship between cerebral blood flow (CBF) and WML severity with age in asymptomatic adults. We found that WML scores were strongly associated with WM CBF, suggesting that WM CBF might be an effective indicator for severity of WMLs. We also found that the WM CBF increased with age, consistent with the greater WM cerebrovascular reactivity response in elderly individuals. In addition, our findings of ascending WM CBF cut-off values revealed that the risk of developing WML increases with age.

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The value of different plaque indicators in predicting stroke
Yan Wang1,2, Xiaoyue Ma1,2, Yan Bai1,2, Qiang Li1, Xianchang Zhang3, Yusong Lin4, and Meiyun Wang1,2

1Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China, 2Henan Key Laboratory for Medical Imaging of Neurological Diseases, Zhengzhou, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Cooperative Innovation Center of Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, China

Emerging evidence suggests that the characteristics of intracranial plaques detected by high-resolution vessel wall imaging may serve as an important in-vivo biomarker for predicting ischemic stroke. Different indicators have been introduced to depict plaque features, such as remodeling index, contrast enhancement, and stenosis rate. The purpose of this study was to comprehensively assess the diagnostic performance of these indicators by a quantitative comparison between ischemic stroke patients and transient-ischemic-attack patients. Our results indicated that the remodeling index may have a predictive power similar to contrast enhancement while stenosis rate was a poor predictor.

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The optimization of single-shot FLAIR for motion artifact reduction and scan time reduction in stroke imaging: A Comparative Analysis with Conventional FLAIR
Yoshihiro Kubota1, Hajime Yokota1, Takayuki Sakai2,3, Masami Yoneyama4, Hiroki Mukai1, Takuro Horikoshi1, and Takashi Uno5

1Radiology, Chiba university hospital, Chiba city, Japan, 2Radiology, Eastern Chiba Medical Center, Togane city, Japan, 3Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa university, Kanazawa, Japan, 4Philips Japan, Tokyo, Japan, 5Department of Diagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba city, Japan

For stroke imaging, motion correction and scan time reduction are essential. We optimized the single-shot FLAIR sequence and implemented it into our stroke MR protocol. 48 patients suspected of stroke were retrospectively involved, and board-certified radiologists evaluated the images of our modified-single-shot FLAIR and conventional FLAIR at the terms of degree of motion artifact, image quality, delineation of hyperintense vessel and contribution for diagnosis. Motion artifact was significantly reduced (P < 0.001) and scan time was decreased by 40% in single-shot FLAIR. Hyperintense vessels were equally detected in both the sequences. Radiologists considered modified-single-shot FLAIR more useful for diagnosis.

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Quantitative assessment of cerebrovascular structure after carotid revascularization using intraCranial Artery Feature Extraction (iCafe) Technique
Manabu Shirakawa1, Li Chen2, Niranjan Balu1, Wenjin Liu1, Dakota Ortega1, Jinmei Chen1, Theodore Trouard3, Diane Bock4, Wei Zhou4, Chun Yuan1, and Thomas S Hatsukami5

1Radiology, University of Washington, Seattle, WA, United States, 2Electrical Engineering, University of Washington, Seattle, WA, United States, 3Biomedical Engineering, University of Arizona, Tuscon, AZ, United States, 4Surgery, University of Arizona, Tuscon, AZ, United States, 5Surgery, University of Washington, Seattle, WA, United States

The aim is to evaluate the change in intracranial arterial vasculature after carotid revascularization using an intracranial feature extraction (iCafe) technique for quantitative analysis of intracranial arteries from 3D time-of-flight magnetic resonance angiography (TOF MRA). Twenty subjects who received carotid revascularization were enrolled and all patients underwent MRA scans three times: before, within 3 days after, and six months after revascularization. The dataset was processed blindly by 4 reviewers using iCafe. Length and volume of intracranial artery and number of intracranial artery branches increased after surgery. This result suggested increased cerebral blood flow after carotid revascularization.

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Crossed cerebellar diaschisis characterization with BOLD-fMRI cerebrovascular reactivity and T2*-perfusion MRI
Marco Piccirelli1, Martina Sebök1, Christiaan Hendrik Bas van Niftrik1, Giovanni Muscas1, Athina Pangalu1, Susanne Wegener1, Luca Regli1, Christoph Stippich1, and Jorn Fierstra1

1University Hospital Zurich, Zurich, Switzerland

Crossed cerebellar diaschisis (CCD) in stroke patients has been associated with worse neurological performance and outcome, but clinical routine CCD imaging is limited. We therefore tested the diagnostic value of blood oxygenation-level dependent cerebrovascular reactivity (BOLD-CVR) and T2* perfusion weighted-MRI in patients with unilateral symptomatic cerebrovascular steno-occlusive disease exhibiting crossed cerebellar diaschisis. Secondly, we assessed the clinical significance of a CCD diagnosis based on BOLD-CVR imaging. BOLD-CVR is a valid clinical diagnostic tool for CCD, whereas perfusion MRI derived parameters were shown to be unsuitable. Furthermore, stroke patients exhibiting CCD showed a worse neurological performance and outcome, unrelated to stroke volume.

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Negative BOLD cerebrovascular reactivity in stroke patients: a sign of misery perfusion of the affected hemisphere
Marco Piccirelli1, Christiaan Hendrik Bas van Niftrik1, Giovanni Muscas1, Martina Sebök1, Lita von Bieberstein1, Susanne Wegener1, Oliver Bozinov1, Giuseppe Esposito1, Andreas Luft1, Luca Regli1, Christoph Stippich1, and Jorn Fierstra1

1University Hospital Zurich, Zurich, Switzerland

Subjects with hemodynamic failure stage 2 (i.e. misery-perfusion) have heightened risk of acute and chronic brain tissue damage. One of the most important signs of misery-perfusion is a negative cerebrovascular reactivity (CVR). CVR is defined as a blood flow response to a vasoactive stimulus. Recently blood-oxygenation-level-dependent (BOLD) CVR was proposed to detect misery-perfusion. However, BOLD-CVR MRI signal does not reflect CBF changes directly and discrepancies between negative BOLD-CVR and negative CBF changes have been reported. To better assess these discrepancies, we performed a multimodal clinical misery-perfusion assessment with perfusion-weighted-MRI and transcranial-Doppler complimentary to BOLD-CVR in patients with symptomatic steno-occlusive disease.

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Ipsilateral Thalamic Diaschisis in Stroke Patients
Marco Piccirelli1, Christiaan Hendrik Bas van Niftrik1, Martina Sebök1, Giovanni Muscas1, Carlo Serra1, Athina Pangalu1, Oliver Bozinov1, Andreas Luft1, Luca Regli1, Christoph Stippich1, and Jorn Fierstra1

1University Hospital Zurich, Zurich, Switzerland

Presence of ipsilateral thalamic diaschisis in stroke patients, detected using BOLD-CVR, is characterized by thalamic volume reduction, reduced thalamic blood flow, and worse stroke severity scores at admission as well as 3 months follow-up. This finding suggests that ipsilateral thalamic diaschisis may be an important clinical imaging marker in stroke patients.

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Absolute quantitative dynamic susceptibility contrast cerebral perfusion imaging using the Self-Calibrated EPI sequence in patients with ischemic stroke
Xiaoyue Ma1,2, Yan Wang1,2, Qiang Li1, Menghuan Zhang1,2, Xianchang Zhang3, Yusong Lin4, and Meiyun Wang1,2

1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Henan Key Laboratory for Medical Imaging of Neurological Diseases, Zhengzhou, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Cooperative Innovation Center of Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, China

This study aims to explore the clinical value of the absolute quantitative dynamic susceptibility contrast cerebral perfusion-weighted imaging using Self-Calibrated EPI sequence (SCALE-PWI) in patients with ischemic stroke. SCALE-PWI could provide reliable quantitative measurement of cerebral blood flow (CBF), cerebral blood volume and mean transit time in a quite short scan time of 2:14 mins. Results suggest the CBF values in infarct core are significantly lower than the values in ischemic penumbra. In conclusion, the SCALE-PWI could provide quantitative hemodynamic information in a quite short scan time, thus may serve as a guide for tissue-based decision making and personalized treatment planning in acute stroke.

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Disrupted structural brain network configuration in patients with post-stroke depression
Xiaopei Xu1, Rui Tang1, Siyu Zhu2, and Zhijian Cao3

1Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, 2Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 3Department of Radiology, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China

To better understand the underlying mechanisms for a wide range of emotional disturbances in post-stroke depression (PSD) patients, we used structural brain connectivity analysis to investigate the differences in global and local network organization of stroke patients with PSD and no PSD. Our results demonstrated that the efficiency of both local and regional network of patients with PSD were higher compared to those without, and that higher depression severity was significantly associated with increased network efficiency. These results indicated that the disrupted network architecture might be the cause of depressive symptoms in PSD patients, and brain network analysis is a useful tool to link psychological disorders with their underlying anatomical substrate.

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Evaluation of physiotherapy induced changes in post-stroke recovery using MRI
Rajesh Mishra1, Dushyant Kumar1, Surbhi Kaura2, Senthil Kumaran1, Priyanka Bhagat2, Padma Srivastava2, and Rama Jayasundar1

1Department of NMR, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India

This study has evaluated the role of MRI in determining physiotherapy-induced changes in post-stroke recovery in 21 first-ever ischemic patients. Physiotherapy was given as intervention for 45 minutes every day for consecutive 6 months. Pre- and post- (3, 6 months) intervention assessment involved NIHSS, mRS and MRI studies (3T MR scanner). MRI studies included 3D-T1, 3D-FLAIR, DWI, and fMRI (motor task). Preliminary findings showed individual patients’ positive response to physiotherapy reflected in the NIHSS and mRS scores, and in the recovery of fMRI activation in the affected motor cortex post-intervention and other MR markers.

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Use of NODDI for Microstructural Characterization of Posterior Limb of the Internal Capsule in Subacute and Chronic Stroke Patients
Alfonso Mastropietro1, Maria Luisa Malosio2,3, Lucia Fontana4, Laura Straffi5, Simona Marcheselli5, Bruno Bernardini6, Sara Ghirmai6, Nunzio Paolo Nuzzi4, Giovanna Rizzo1, and Marco Grimaldi4

1Istituto di Bioimmagini e Fisiologia Molecolare, Consiglio Nazionale delle Ricerche, Segrate, Italy, 2Istituto di Neuroscienze, Consiglio Nazionale delle Ricerche, Milano, Italy, 3Laboratory of Brain Pathology and Pharmacology and Neuro Center, Humanitas Clinical and Research Center, Rozzano, Italy, 4Neuroradiology Unit and Neuro Center, Humanitas Clinical and Research Center, Rozzano, Italy, 5Stroke Unit and Neuro Center, Humanitas Clinical and Research Center, Rozzano, Italy, 6Neurorehabilitation Unit and Neuro Center, Humanitas Clinical and Research Center, Rozzano, Italy

This preliminary work shows that NODDI, supplementing the classical DTI approach, could provide a new insight into the subtle micro-architectural modifications occurring in the posterior limb of the internal capsule of 10 stroke patients in subacute and chronic phase.

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Ischemic Stroke Imaging and Outcomes: Differences between Sexes
Adrienne N Dula1 and Steven J Warach1

1Department of Neurology, Dell Medical School at University of Texas, Austin, Austin, TX, United States

Stroke is a treatable disease and neuroimaging can identify salvageable tissue, directly impacting treatment decisions. Women experience stroke differently than men with higher severity, worse outcomes, and varying therapeutic response. We examined the contribution of sex and age to stroke outcome with emphasis on therapeutic targets on MRI. MR images were evaluated for predictive imaging factors. A 90-day mRS was obtained to assess functional independence. Women present more often with treatable ischemic stroke than men as defined by MR imaging factors. Sex modulates the age-dependent stroke outcome but upon stratification for treatment, difference in outcome favoring men was not observed.

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A study of neurite orientation dispersion and density imaging in ischemic stroke
Zhenxiong Wang1, Shun Zhang1, Yang Fan2, and Wenzhen Zhu1

1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2GE Healthcare China, Beijing, China

Neurite orientation dispersion and density imaging (NODDI) can quantitatively evaluate specific microstructural changes in terms of neurite density and orientation distribution of axons and dendrites. In the study, we attempt to demonstrate the feasibility of NODDI in characterizing the microstructural alterations in brain tissues during ischemic stroke and to compare its sensitivity with diffusion tensor imaging and diffusion kurtosis imaging. Results demonstrated that NODDI is a potential technique for quantitatively evaluating ischemic stroke and showed higher sensitivity compared with diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI).

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Stroke atlas of the brain: A voxel-wise density-based clustering of infarct lesion topographic distribution
Yanlu Wang1,2, Hadrien Van Loo3, Julia Juliano4, Sook-Lei Liew5,6, Alexander McKinney IV7, and Sam Payabvash8

1Clinical Sciences, Intervention and Technology, Karolinska Institute, Sollentuna, Sweden, 2Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden, 3Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden, 4University of Southern California, Los Angeles, CA, United States, 5Viterbi School, Department of Biomedical Engineering, Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Kek School of Medicine, Los Angeles, CA, United States, 6Department of Neurology USC Stevens Neuroimaging and Informatics Institute, Division of Biokinesiology and Physical Therapy, University of Southern California, Keck School of Medicin, Los Angeles, CA, United States, 7Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 8Yale Medicine, New Haven, CT, United States

In stroke patients, both infarct volume and location affect functional outcome; however, infarct topography is far less commonly incorporated in prognostic models, given the complexity of assessing infarct topographic distribution. In this study, we applied data-driven density clustering analysis, using the OPTICS algorithm, on 793 infarct lesions from 438 stroke patients to devise a “stroke-atlas of the brain” stratifying brain voxels likely to infarct together. This atlas can help with differentiation of infarct lesions in clinical practice, assess topographic distribution of infarct in prognostic models for stroke patients, or be applied for defining regional infarct thresholds in CT/MR perfusion maps.


Psychoradiology: Schizophrenia, Psychosis, OCD & More

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

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Myelin-associated clinical and physical correlates in a cohort of chronic schizophrenia patients.
Senften Peter1, Melissa L Woodward2, Randall F White3, Allen E Thornton4, Kristina Gicas3, Cornelia Laule1,5,6,7, Darren E Warburton8, A. Talia Vertinsky1, William G Honer3, Wayne Su3, and Donna J Lang1

1Radiology, University of British Columbia, Vancouver, BC, Canada, 2University of British Columbia, Vancouver, BC, Canada, 3Psychiatry, University of British Columbia, Vancouver, BC, Canada, 4Psychology, Simon Fraser University, Burnaby, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 7International Collaboration on Repair Discoveries (ICORD), University Of British Columbia, Vancouver, BC, Canada, 8Kinesiology, University of British Columbia, Vancouver, BC, Canada

Aberrant myelination and tandem cardiovascular deficits may contribute to emergence of the schizophrenias. To explore this hypothesis, a pilot study of Myelin Water Fraction (MWF), V02max capacity, and symptom severity was done in 15 chronic schizophrenia/schizoaffective patients. MWF was positively correlated with age in some, but not all, fronto-medial and fronto-temporal regions, 2. V02max was positively correlated with MWF the superior longitudinal fasciculus, the genu, and the forceps minor, and 3. Social functioning was positively correlated to MWF in the forceps major. These data indicate the presence of relationships between MWF measures, social functioning and cardiovascular capacity in schizophrenia.

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Contribution and Interaction of Brain Structure and Function in Treatment Response Prediction of First-episode Drug-naïve Schizophrenia
GUI FU1, Ningxuan Chen2, Chaogan Yan2, Wenjing Zhang1, Jiaxin Zeng1, Yuan Xiao1, and Su Lui1

1Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Institution of Psychology, CAS, Beijing, China

Magnetic Resonance Imaging (MRI) including structural and functional neuroimaging has been applied extensively to examine response to antipsychotic treatment, however, questions remain regarding the interaction between these measurements and their unique role. Our study provided a comprehensive examination of interaction and contribution for voxel-wise measurements related with treatment response. We found that brain functional measurements in certain brain regions have advantages in predicting treatment response. Furthermore, the functional activities were different between short- and long-term treatment of antipsychotic drugs. These findings revealed that functional changes were more sensitive to the antipsychotic treatment and could be promising biomarkers in treatment prediction.

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Heterogeneity of brain structure alterations in patients with never-treated first episode schizophrenia
Yuan Xiao1, Bo Tao1, Jiaxin Zeng1, Gui Fu1, Biqu Tang1, Wenjing Zhang1, Siyi Li1, Su Lui1, and Qiyong Gong1

1West China Hospital of Sichuan University, Chengdu, China

Although schizophrenia is a heterogeneous clinical syndrome, one important question that remains largely unanswered is whether the complex and subtle deficits revealed by MRI could be used as objective biomarkers to resolve neurobiological heterogeneity within this disorder. Using clustering analysis and structural MRI, first-episode schizophrenia patients were classified into three subtypes. The three subtypes of patients showed different morphological alterations.

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Source-based Laterality of Grey Matter in Schizophrenia
Thomas Patrick DeRamus1, Jiayu Chen1, Armin Iraji1, Eswar Damaraju1, Rogers Silva1, and Vince Calhoun1,2

1Mind Research Network, Albuquerque, NM, United States, 2Electrical and Computer Engineering, Neurosciences, Psychiatry, Biology, and Computer Science, Mind Research Network, Albuquerque, NM, United States

Altered brain laterality is frequently reported in morphological brain studies of individuals with schizophrenia. However, these studies utilize voxel/vertex-wise univariate methods which may not be optimal for examining brain laterality. We introduce a novel multivariate approach to estimate covarying lateralized networks. In our approach, lateralized grey matter maps were computed by subtracting volumetric data one hemisphere from the other, and analyzed via independent component analysis (ICA), followed by testing loading parameters from components identifying covariation within laterality networks. Results display significant relationships with temporal lobe and cerebellar laterality and negative symptoms of schizophrenia that warrant further exploration with multimodal analyses.

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White matter microstructural changes in schizophrenia: A study using normative-model-based statistical analysis
Li-Ying Yang1,2, Chih-Min Liu3, Tzung-Jeng Hwang3, Chang-Le Chen2, Yung-Chin Hsu4, and Wen-Yih Isaac Tseng2,5

1Institute of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan, 2Institute of Medical Device and Image, National Taiwan University College of Medicine, Taipei, Taiwan, 3Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan, 4AcroViz Technology Inc., Taipei, Taiwan, 5Molecular Imaging Center, National Taiwan University College of Medicine, Taipei, Taiwan

White matter microstructural changes have been found in schizophrenia but the effects of gender and age on these changes remains entangled. This study aimed to quantify the white matter changes in 158 schizophrenia patients using a novel approach which calculated the z scores based on the normative models built from 524 healthy subjects across lifespan. Our results showed that twelve tracts had significant differences between schizophrenia patients and controls.

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Gray matter network changes with aging and duration in a large group of never-treated patients with schizophrenia.
Beisheng Yang1, Wenjing Zhang2, Bo Tao2, Wenbing Li2, and Su Lui2

1Department of Radiology, West China Hospital, Sichuan University., Chengdu, China, 2West China Hospital, Sichuan University., Chengdu, China

A large group of never-treated schizophrenia patient was enrolled to investigate the pattern of network changes with aging and illness duration. Cortical thickness preprocessed by FreeSurfer, and correlation matrix was constructed by correlating the cortical thickness of every pair of regions. Compared to healthy controls, all patient subgroups stratified along age and illness duration showed common changes while distinct changes, mainly involved DMN and CN. The alternations within DMN and CN may represent trait-related structural network changes in schizophrenia, while distinct changes may represent illness progression with more-wide spread brain abnormalities.

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Evaluation of structural brain modifications related to First Episode Psychosis
Francesca Saviola1, Marcella Bellani2, Letizia Squarcina3, Eleonora Maggioni4, Domenico Zacà1, Cinzia Perlini5, Mirella Ruggeri2,6, Paolo Brambilla3,7, and Jorge Jovicich1

1CIMeC, Center for Mind/Brain Sciences, University of Trento, Rovereto (TN), Italy, 2UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Verona, Italy, 3IRCCS “E. Medea” Scientific Institute, Bosisio Parini, Lecco, Italy, 4Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milano, Italy, 5Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy, 6Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy, Verona, Italy, 7Department of Pathophysiology and Transplantation, University of Milan, Milano, Italy

Psychiatric disorders are characterized by a complex range of symptoms. Psychosis, known as one of the most severe mental illness, is still lacking specific neuroimaging markers complementing clinical information for early differential diagnostics, disease progression monitoring and treatment response evaluations. Most previous studies in the field considered psychotic patients undergoing chronic pharmacologic treatment or long duration of illness, which may confound morphometric or functional findings. Here we study a cohort of First Episode Psychosis (FEP) patients to investigated grey matter changes using structural MRI, in FEP relative to healthy controls, with univariate and multivariate analysis.

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Quantitative Susceptibility Mapping MRI shows changes in dorsal striatum in patients with a first Episode of Psychosis compared to controls.
Marisleydis García1,2,3, Néstor Muñoz1,2,3, Manuel Chappa1,2,3, Carlos Milovic1,2,3, Cristian Montalba2,3,4, Julio Acosta-Carbonero5, Luz María Alliende6, Bárbara Iruretagoyena6, Juan Undurraga7, Alfonzo González7, Carmen Paz Castañeda7, Marcelo Andia2,3,4, Sergio Uribe2,3,4, Nicolas Crossley2,6, and Cristián Tejos1,2,3

1Departament Electrical Engineer, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile, 2Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago de Chile, Chile, 4Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile, 5Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom, 6Pontificia Universidad Católica de Chile, Santiago de Chile, Chile, 7Instituto Psiquiátrico Horwitz, Santiago de Chile, Chile

Dopamine is a neurotransmitter that plays an important role in psychosis. Neuromelanin is a by-product of the synthesis of dopamine. In First Episode of Psychosis (FEP) is reported the effect that causes dopamine and its relationship with neuromelanin. However, it has not been reported signal change due to accumulation of heavy metal using magnetic resonance imaging techniques. We found susceptibility changes in two areas of brain using QSM, the left subthalamic nucleus and right caudate. This finding might help to discriminate between FEP patients and healthy subjects.  

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Brain morphometric and cellular metabolic alterations in patients with obsessive–compulsive disorder
Chung Man Moon1,2 and Gwang Woo Jeong2

1National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States, 2Radiology, Chonnam National University Medical School, Gwangju, Korea, Republic of

Obsessive–compulsive disorder (OCD) causes neural dysfunction associated with cognitive deficit and emotional dysregulation. To our knowledge, however, no one has applied the combined neuroimaging study of morphometric and metabolic brain abnormalities in patients with OCD. Therefore, this study assessed the associations of the gray matter (GM) and white matter (WM) volume alterations in conjunction with in vivo cellular metabolic changes in patients with OCD. Our findings will be helpful to aid us in the understanding of neurocognitive impairment in OCD, and thus, enhancing the diagnostic accuracy for OCD by additional information on the associated cerebral volume change and metabolic abnormality.

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Amygdala dysfunction during negative emotional control in Obsessive-Compulsive Disorder: an fMRI study
Hyunsil Cha1, Sang Won Lee2, Kyungeun Jang1, Eunji Kim1, Heajeong Choi1, Jiung Yang1, Seungho Kim1, Jinsu Park1, Moon Jung Hwang3, Huijin Song4, Hui joong Lee5, Seung Jae Lee2, and Yongmin Chang6

1Department of Medical & Biological Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea, Republic of, 3Ge Healthcare, Seoul, Korea, Republic of, 4Biomedical Engineering Research, Kyungpook National University, Daegu, Korea, Republic of, 5Department of Radiology, Kyungpook National University Hospital, Daegu, Korea, Republic of, 6Department of Radiology and Molecular Medicine, Kyungpook National University, Daegu, Korea, Republic of

We investigated brain activation in obsessive-compulsive disorder (OCD) patient using thought-action fusion (TAF) task to assess the influence of OCD symptom on amygdala response to the task. Context-dependent psycho-physiological interaction (PPI) analysis of close condition showed decreased amygdala PPI with putamen in patients with OCD compared to healthy controls.

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Alterations of structural anatomy and functional connectivity regarding hippocampus in obsessive–compulsive disorder
Xinyu Hu1, Lianqing Zhang1, Xuan Bu1, Hailong Li1, Bin Li2, Wanjie Tang2, Lu Lu1, Xiaoxiao Hu1, Shi Tang1, Yingxue Gao1, Yanlin Wang1, Yanchun Yang2, Qiyong Gong1, and Xiaoqi Huang1

1Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Mental Health Center, Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China

Besides the classical cortico-striato-thalamo-cortical circuits, the hippocampus has received increasing attention in the psychopathology of obsessive-compulsive disorder (OCD). We aimed to investigate the abnormalities of structural anatomy and functional connectivity (FC) regarding hippocampus in a relatively large sample of unmedicated OCD patients and explore the effects of onset age on these neural correlates. Our findings (i) identified significant volumetric reductions of right hippocampus in OCD; (ii) revealed abnormal cortico-hippocampal connectivity in the prefrontal-limbic networks of OCD and (iii) indicated distinct patterns of cerebral-hippocampal connectivity alterations in early-onset and late-onset OCD, which highlighted the potential importance of neurodevelopmental changes in OCD.

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Abnormal Static and Dynamic Functional Network Connectivity Patterns in Patients with Obsessive-compulsive Disorder
Hailong Li1, Yingxue Gao1, Xuan Bu1, Xinyu Hu1, Lianqing Zhang1, Lu Lu1, Shi Tang1, Xiaoxiao Hu1, Kaili Liang1, Yanlin Wang1, Qiyong Gong1, and Xiaoqi Huang1

1Huaxi Magnetic Resonance Research Centre (HMRRC), West China Hospital of Sichuan University, Chengdu, China

Static and dynamic functional network connectivity (FNC) analyses were applied to determine the abnormal connectivity patterns among the large-scale brain networks in obsessive-compulsive disorder patients. We found that static FNC analysis showed more obvious group differences than dynamic FNC. Decreased functional connectivity between visual network and DMN has been shown in both static and dynamic FNC analysis, it could be considered as the most stable connectivity change of functional brain networks in OCD patients. These findings advocate the using of both static and dynamic FNC to help truly understanding the alterations of brain networks.

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Medial temporal cortical changes in response to yoga and aerobic exercise interventions in early psychosis patients
Melissa L Woodward1, Jingxia Lin2, Wayne Weizhong Song3, William G Honer3, Eric YH Chen2, and Donna J Lang1

1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Psychiatry, University of Hong Kong, Hong Kong, China, 3Psychiatry, University of British Columbia, Vancouver, BC, Canada

Early psychosis patients exhibit cortical reductions and poor cardiovascular health, which may be worsened by antipsychotic medication. Aerobic exercise and yoga may be able to remediate cortical loss and improve symptom severity. First-episode psychosis patients who completed a twelve-week exercise program showed increased cortical volume and thickness compared to waitlist controls with differential effects of aerobic exercise and yoga. Exercise-mediated changes in brain measures were associated with greater improvement in symptom severity scores. Both aerobic exercise and yoga may have neuroanatomical and clinical benefits for early psychosis patients and may be a safe, cost-effective adjunct treatment.

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Acute and Chronic intranasal oxytocin differentially affect brain functional connectivity
Alessia De Felice1, Marco Pagani1, Ludovico Coletta1,2, Alberto Galbusera1, and Alessandro Gozzi1

1Center for Neuroscience and Cognitive System, Istituto Italiano di tecnologia, Rovereto, Italy, 2Centro Interdipartimentale Mente/Cervello (CIMeC), University of Trento, Rovereto, Italy

Intranasal oxytocin (OXT) administration has shown promise as a putative treatment for disorders characterized by social impairments. However, the brain-wide substrates engaged by this neuropeptide remain elusive. By using mouse fMRI, we show that the circuits engaged by intranasal OXT are differentially affected by the duration of OXT dosing. Specifically, acute OXT administration increases brain connectivity in key nodes of the social brain. By contrast, repeated dosing exacerbates inter-regional coupling and results in paradoxical social impairments in control “wild type” mice. These result have implications for clinical testing of OXT in control and pathological conditions.

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Brain gray matter correlates of extraversion: A systematic review and meta-analysis of voxel-based morphometry studies
Han Lai1, Song Wang1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Chengdu, China

Extraversion is a fundamental personality dimension closely related to individuals’ physical and mental health. Although increasing studies have attempted to identify the neurostructural markers of extraversion but have yielded inconsistent and heterogeneous results. The current study aims to reach a comprehensive understanding of brain gray matter (GM) correlates of extraversion by using a systematic review and meta-analysis approach. Our review revealed a preliminary outline of the brain GM differences related to extraversion in distributed brain regions. Our meta-analysis of voxel-based morphometry studies identified six core brain regions correlated with extraversion and revealed the potential effect of gender and age.

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Alteration in negative emotional regulation associated with childhood abuse: fMRI study
Seungho Kim1, Sang Won Lee2, Kyungeun Jang1, Hyunsil Cha1, Heajung Choi1, Eunji Kim1, Jiung Yang1, Jinsu Park1, Huijin Song3, Hui Joong Lee4, Moon Jung Hwang5, Seung Jae Lee2, and Yongmin Chang1,6

1Department of Medical & Biological Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea, Republic of, 3Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, Korea, Republic of, 4Department of Radiology, Kyungpook National University, Daegu, Korea, Republic of, 5GE Healthcare, Seoul, Korea, Republic of, 6Department of Radiology and Molecular Medicine, Kyungpook National University, Daegu, Korea, Republic of

We assessed negative emotional regulation in young adults who experienced childhood abuse. We investigated a relationship between psychological data and brain activation during emotion regulation task. The ventromedial prefrontal cortex (vmPFC) showed significant correlation with the degree of childhood abuse in negative emotion task.

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Inferior parietal lobule controls moral thought-action fusion: an fMRI study
Eunji Kim1, Sang Won Lee2, Hyunsil Cha1, Kyungeun Jang1, Heajung Choi1, Seungho Kim1, Jinsu Park1, Jiung Yang1,3, Huijin Song4, Moon Jung Hwang5, Hui Joong Lee6, Seung Jae Lee2, and Yongmin Chang1,6

1Department of Medical & Biological Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea, Republic of, 3Daegu Gyungpook Medical Innovation Foundation, Daegu, Korea, Republic of, 4Institue of Biomedical Engjneering Research, Kyungpook National University, Daegu, Korea, Republic of, 5GE Health Korea, Seoul, Korea, Republic of, 6Department of Radiology, College of Medicine, Kyungpook National University, Daegu, Korea, Republic of

Thought-action fusion (TAF) could make people feel that action to happen1. We investigated the difference from control thinking and administration of electrical shocks to another person in healthy control with moral related TAF task by using fMRI. The inferior parietal lobule (IPL) activation showed a negative correlation with moral score in TAF among the activated regions from a shock factor. Therefore, when considering the functional role of IPL in making another have some irritation and the appropriate empathic response, such as mentalization, might have an important role in TAF related situation.

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Sexual dimorphism in the young adult brain using magnetic resonance imaging: The effect of the field strengths
Jyun-Ru Chen1, Hui-Chieh Yang1, Yen-Chih Huang2, Chun-Ming Chen2, Chih-Feng Chen3, and Shin-Lei Peng1

1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, 2Department of Radiology, China Medical University Hospital, Taichung, Taiwan, 3Department of Radiology, Taichung Tzu Chi Hospital, Taichung, Taiwan

The existing reports regarding sexual dimorphism in brain structures are not confluent and generally heterogeneous. MRI instrument-related factor such as field strength is one of the greatest contributors to the brain quantification variability, but its effect on sexual dimorphism in brain structures remains unclear. In this study, we found that due to the image contrast differences arising from differences in field strengths, the sex dimorphism in brain morphology appears to exist dependent of field strengths. It suggests field strength should be considered as one important factor that contributes to the inconsistency in the sex dimorphism in brain across literatures.

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Altered gray matter volume and the relationship with the psychiatric symptoms in methamphetamine use disorder individuals
Shan Dang1, Wei Li1, Jia Zhu1, Qiang Li1, Wei Wang1, and Jing Chen1

1Department of Radiology, Tangdu Hospital, the Air Force Medical University, Xian, China

The study used voxel-based morphological to explore the differences in gray matter volume and psychiatric symptoms of Self-reporting Inventory-90 between methamphetamine use disorders and healthy controls. It was found that many of the SCL-90 symptoms and the grey matter volume have changed in methamphetamine use disorder individuals. Meanwhile, the abnormal grey matter volume is associated with psychiatric symptoms.

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Common gray matter atrophy in individuals with different behavioral addictions: a voxel-wise meta-analysis
Kun Qin1, Feifei Zhang1, and Qiyong Gong1,2

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychology, School of Public Administration, Sichuan University, Chengdu, China

In order to figure out the common structural alterations in behavioral addicts among various publications and to find a biomarker for future improvement of diagnostic category, we searched for voxel based morphometry studies compared between patients and healthy controls and pooled them together in a meta-analytic way by using AES-SDM. 22 studies comprising 5 different addictive behaviors were included. 576 patients showed GM reduction in the left ACC, right striatum and right SMA compared with 635 HCs. In summary, our findings revealed common GM decreases in frontostriatal circuitry, consistent with previous multimodal neuroimaging findings in addiction.

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The diagnosis of Internet gaming disorder by MR imaging: A MRI based analysis
Lei Wei1, Zhe Wang 2, Qianfeng Wang2, Xu Han3, Yawen Sun3, Weina Ding3, Yan Zhou3, and He Wang2

1Institute of Science and Technology for Brain, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, shanghai, China, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, shanghai, China, 3Department of Radiology, Ren ji Hospital, School of Medicine, Shanghai Jiao Tong University, shanghai, China

The internet gaming disorder has become one of the most serious healthy problem among teenagers, the questionnaire and scale are widely used to IGD diagnostic. However, the underlying neural mechanism of IGD was still unclear. Current study present an evidence that cerebral morphometric alteration could be used to identified IGD from normal, and may also help for further study about  IGD. 

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Regional Cortical Thickness Changes and Neurocognitive Performance in Perinatally HIV-infected Youth
Manoj Kumar Sarma1, Margaret A. Keller2, Paul M. Macey3, Tamara Welikson4, David E. Michalik5, Karin Nielsen-Saines 6, Jaime Deville 6, Joseph A. Church7, Eva Operskalski 8, Andrea Kovacs 8, Irwin Walot9, Joseph Ventura10, and M. Albert Thomas1

1Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 2Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, United States, 3School of Nursing, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 4Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 5Infectious Disease-Pediatrics, Miller Children’s Hospital of Long Beach, Long Beach, CA, United States, 6Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 7Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States, 8Pediatrics, Keck School of Medicine at University of Southern California, Los Angeles, CA, United States, 9Radiology, Harbor-UCLA Medical Center, Los Angeles, CA, United States, 10Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States

Despite effective viral suppression, youth with perinatal HIV (PHIVY) often demonstrate long-term cognitive deficits. We measured grey matter cortical thickness as a measure of brain structural integrity in 11 PHIVY receiving long term cART compared to 16 age-matched controls and assessed neurocognitive performance. The PHIVY group performed significantly worse than controls. Regions of significantly thinner and thicker cortex in PHIVY were observed which may contribute to these deficits in neurocognitive function. Cortical thickness in PHIVY was correlated with current CD4 count and neurocognitive performance. Our findings suggest the potential importance of continued monitoring of PHIVY.

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Brain Microstructural Abnormalities in Patients with Idiopathic Rapid Eye Movement Sleep Behavior Disorder: A Voxel Based Morphometry and Diffusion Tensor Imaging Study
Wanqun Yang1, Caihong Zhou1, Yingjie Mei2, and Biao Huang1

1Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, 2Philips Healthcare, Guangzhou, China

Idiopathic rapid eye movement sleep behavior disorder (iRBD) has close relationship with neurodegenerative disorder. Many researches has validated that almost all of iRBD patients evolved into Parkinson’s disease, Lewy body dementia, or multiple system atrophy over time. However the pathogenesis of iRBD still remains unclear. In this research, VBM and voxel-based DTI analysis were combined to detect the microstructural abnormalities in the iRBD patients. A wide range of changes in brain structure in iRBD group was observed, which may reveal pathophysiologic mechanism on cognitive function disorder,which can be valuable for the early diagnosis and treatment of iRBD.

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Altered white matter microstructure in anorexia nervosa: A voxel-based meta-analysis of diffusion tensor imaging
Simin Zhang1, Weina Wang1, Xiaorui Su1, Huaiqiang Sun1, Qiang Yue2, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Radiology, West China Hospital of Sichuan University, Chengdu, China

The neurobiological underpinnings of anorexia nervosa (AN) remain unclear. Altered white matter microarchitecture has been described, but findings are inconclusive. To investigate a statistical consensus among published DTI studies of altered white matter microarchitecture in AN, we conducted a quantitative voxel-based meta-analysis of fractional anisotropy using Seed-based d Mapping. The pooled results in AN showed robust reduction fractional anisotropy in the interhemispheric connections, frontal-subcortical circuitry and limbic association fibers. This study provides a thorough profile of WM microarchitecture alterations in patients with AN and these intrinsic alterations may aid in developing effective treatments in AN.


Aging & Neurodegeneration (Other than AD)

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

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T1-rho in the aging brain: results from large-scale population imaging
Johanna Kramme1, Eberhard D. Pracht1, Gerard Sanroma1, Tony Stöcker1, and Monique M.B. Breteler1,2

1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2Faculty of Medicine, University of Bonn, Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Bonn, Germany

Within the Rhineland Study we investigated and report normative brain T1-rho values and their change over age, for a large cohort of 547 participants. Investigated regions were GM, WM, deep gray matter and selected white matter tracts. All investigated regions, except amygdala and accumbens, show a positive trend with age. Total scan time was under six minutes (whole brain), showing the feasibility to provide normative values for a wide range of brain regions in a reasonable amount of time.

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Gender difference on cerebral blood flow in people aged over 80 years: A pseudo-continuous arterial spin labeling study
Heng Zhang1, Xian Xu1, Ningyu An1, and Zhentao Zuo2

1Radiology, Chinese PLA General Hospital, Beijing, China, 2State Key laboratory of Brain and Cognitive Science,Institute of Biophysics,Chinese Academy of SciencesNeuroInformation of Ministry of Education, Beijing, China

This study focuses on cerebral blood flow(CBF) of the elderly over 80years old, with a large sample size. Different from the conclusions ofprevious studies, females brain perfusion CBF values are higher than males,in the whole brain and various brain lobes.

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Diffusion magnetic resonance imaging in the human hippocampal subfields using super-resolution HYDI
Nahla M H Elsaid1,2, Pierrick Coupé3,4, and Yu-Chien Wu1,2

1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indiana University, Indianapolis, IN, United States, 2Indiana Alzheimer Disease Center, Indianapolis, IN, United States, 3University of Bordeaux, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France, 4CNRS, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France

The hippocampal atrophy is known to be the most validated biomarker of Alzheimer’s disease. Accordingly, in this study, we develop a method to enable the structural connectivity mapping through tractography of the hippocampal subfields using super-resolution diffusion data.

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Differential Relationship of GABA and GLX in Dorsal vs. Ventral Prefrontal Cortex and Their Relationship To Age and Gender
Mark S Brown1, Harry R Smolker2, Rebecca J Helmuth2, and Marie T Banich2

1Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 2Institute of Cognitive Science, Dept of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States

MRS was employed in two regionally distinct prefrontal voxels (dorsal and ventral) in 62 adult females and 119 adolescents (60 males, 59 females) to determine the variations of GABA and GLX concentrations with regional specificity, participant gender, and age.  The results indicate that levels of prefrontal neurotransmitter concentrations are influenced by age.  Furthermore, the results suggest that the relationship between neurotransmitter levels can vary for adjacent portions of cortex, being more highly correlated for the dorsal than ventral voxel.   

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T2*-weighted imaging and quantitative susceptibility mapping (QSM) in patients with amyotrophic lateral sclerosis and bulbar impairment
Graziella Donatelli1, Mauro Costagli2, Elena Caldarazzo-Ienco1, Gianmichele Migaleddu1, Paolo Cecchi3, Michela Tosetti4, Gabriele Siciliano1, and Mirco Cosottini1

1University of Pisa, Pisa, Italy, 2Imago7, Pisa, Italy, 3Azienda Ospadaliero-Universitaria Pisana, Pisa, Italy, 4Imago7 and IRCCS Stella Maris, Pisa, Italy

The T2* hypointensity of the primary motor cortex (M1), associated to an increase in iron deposits related to neuroinflammatory reaction and cortical microgliosis, has been suggested as possible MRI marker of upper motor neuron impairment in patients with amyotrophic lateral sclerosis (ALS). This study investigates the orofacial subregion of M1 (fM1) in 36 patients with ALS. The evaluation of T2* signal hypointensity and quantitative susceptibility mapping (QSM) values in fM1 were related to patients’ bulbar functions (such as speech and swallowing) assessed clinically. Results demonstrate that QSM values were significantly higher in patients with bulbar dysfunction than in those without (p≤0.0001).

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Different Cortical Thinning Pattern in Primary Motor Cortex Correspond to Clinical Characteristics of Amyotrophic Lateral Sclerosis Subtypes
Haining Li1, Qiuli Zhang1, Qianqian Duan1, Jingmei Xie2, and Ming Zhang1

1Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Department of Medical Imaging of the Second Hospital of Yulin, Yuling, China

Heterogeneity of motor phenotypes is a clinically well-recognized fundamental aspect of amyotrophic lateral sclerosis (ALS).The body region of onset is one of independent primary attributes of ALS motor phenotype heterogeneity. In order to investigate the patterns of brain atrophy between ALS patients with bulbar and limb onset and analyse its correlation with clinical characteristics , cortical thickness analyses were performed. ALS Patients with limb onset revealed the majority of significant cortical thinning in the limb segment of the motor cortex, and patients with bulbar onset, in the bulbar segments. The findings suggest that neuroimaging could be a helpful objective measure to estimate of upper motor neuron loss.

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Comparative Corticospinal Tract Relaxation and Diffusion MRI Measures in Amyotrophic Lateral Sclerosis
Hagen H Kitzler1, Carolin Schwamborn1, Paul Kuntke1, Hannes Wahl1, Rene Guenther2, Sean C Deoni3, Andreas Hermann2, and Jennifer Linn1

1Neuroradiology, Technische Universität Dresden, Dresden, Germany, 2Neurology, Technische Universität Dresden, Dresden, Germany, 3Warren Alpert Medical School, Brown University, Providence, RI, United States

Amyotrophic Lateral Sclerosis (ALS) is a fatal disease that primarily affects the human primary motor system. Selective neurodegeneration leads to systemic functional motor decay. We aimed to understand the relationship between cortical degeneration and the desintegration of the related motor corticospinal tract (CST) by applying both Diffusion Tensor Imaging (DTI) and the multi-component driven equilibrium single pulse observation of T1 and T2 (mcDESPOT). We found early changes in diffusion and relaxation measures indicating WM tract degeneration secondary to cortical neurodegeneration. Besides the loss of structural integrity early alterations of the myelin characteristics indicate toward changes of its compositional condition instead of early myelin loss.

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Fully-automatic quantitative susceptibility mapping of the precentral gyrus in motor neuron disease
Valeria Elisa Contarino1,2, Giorgio Conte1, Claudia Morelli2, Sonia Francesca Calloni1, Luis Carlos Sanmiguel Serpa3, Elisa Scola1, Francesca Trogu2, Vincenzo Silani2,4, and Fabio Triulzi1,4

1Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy, 2Istituto Auxologico Italiano, Milano, Italy, 3Politecnico di Milano, Milano, Italy, 4Università degli Studi di Milano, Milano, Italy

The diagnosis of Motor Neuron Disease (MND) is a long process that involves careful clinical and neurological examination during a long period of time. As iron overload is recognized as one of the main pathogenic mechanisms, previous studies focused on hand-drawn ROI-based measures of susceptibility in the precentral gyrus in MND. In contrast to the manually drawn ROIs approach guided by pathology localization and lateralization, this study suggests that the building of a MND biomarker might rely on susceptibility properties of the precentral gyrus measured on clinical images with a fully-automatic pipeline.

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The Splenial Angle: A Novel Index in Idiopathic Normal Pressure Hydrocephalus
Ling Ling Chan1,2, Robert Chen1, Wei Ying Go1, Huihua Li2,3, Soo Lee Lim1, Sumeet Kumar4, and Nicole Chwee Har Keong5

1Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Health Services Research Unit, Singapore General Hospital, Singapore, Singapore, 4Neuroradiology, National Neuroscience Institute, Singapore, Singapore, 5Neurosurgery, National Neuroscience Institute, Singapore, Singapore

The callosal angle (CA) is a useful tool in idiopathic normal pressure hydrocephalus (iNPH) for diagnosis and patient selection for shunt surgery. We evaluated for (1) differences in a novel splenial angle (SA) in iNPH compared to healthy controls (HC), and (2) temporal changes in SA, CA and Evan’s index in shunted and non-shunted iNPH patients. Significant differences (p<0.0001) existed in the EI, CA and SA between iNPH and HC. Amongst iNPH patients with or without shunting, significant temporal changes were also found in in all indices on follow-up MRI scans compared to baseline measurements.

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Diffusion Tensor Imaging of the Superior Thalamic Radiation and Cerebrospinal Fluid Distribution in Idiopathic Normal Pressure Hydrocephalus
Khader M Hasan1, Kyan Younes2, Arash Kamali1, Zafer Keser2, Pejman Rabiei1, Christine E McGough3, Omar Hasan2, Tomas Melicher4, Larry A Kramer1, and Paul E Schulz2

1Diagnostic and Interventional Imaging, UThealth, McGovern Medical School, Houston, TX, United States, 2Neurology, UThealth, McGovern Medical School, Houston, TX, United States, 3UThealth, McGovern Medical School, Houston, TX, United States, 4Psychiatry, UThealth, McGovern Medical School, Houston, TX, United States

Ventricular enlargement in elderly raises a challenging differential diagnosis to physicians. While Alzheimer`s disease is the most common form of dementia, idiopathic Normal Pressure Hydrocephalus (iNPH) constitutes a potentially reversible syndrome.  iNPH has a unique pathophysiology pertaining to cerebrospinal fluid dynamics and periventricular white matter. We aimed to determine the effects of iNPH on periventricular white matter bundles and to further characterize its ventricular and sulcal CSF distribution by using diffusion tensor tractography (DTT) and cerebrospinal fluid (CSF) volumetrics on high resolution T1-weighted MRI data.

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Detection of accumulated iron and microglia in the striatum of Huntington’s Disease patients: evidence from post-mortem MRI and histology
Marjolein Bulk1, Ernst Suidgeest1, Ingrid Hegeman-Kleinn2, Sjoerd van Duinen2, Jan Lewerenz3, Bernhard Landwehrmeyer3, Itamar Ronen1, and Louise van der Weerd1,4

1Radiology, LUMC, Leiden, Netherlands, 2Pathology, LUMC, Leiden, Netherlands, 3Neurology, Ulm University Hospital, Ulm, Germany, 4Human Genetics, LUMC, Leiden, Netherlands

We detected increased iron deposits in the striatum of post-mortem brain tissue of Huntington’s Disease (HD) patients. High-field T2*-weighted MRI of the striatum showed a different imaging phenotype in HD patients compared to controls, and spatially correlated with the iron distribution obtained from histology. Increased iron was observed in the matrix and in cells morphologically resembling glial cells. These findings bridge the gap between neuropathological and clinical imaging findings and point to iron accumulation as a potential imaging biomarker for disease progression in vivo, possibly reflecting neuroinflammation.

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Investigating Microglial Activation and white matter changes in Huntington Disease Patients
wafaa sweidan1, navid seraji bozorgzad2, edwin george3, fen bao4, and rachel darling5

1wayne state university, detroit, MI, United States, 2university of michigan, ann arbor, MI, United States, 3Neurology, wayne state university, detroit, MI, United States, 4univeristy health center, detroit, MI, United States, 5university health center, detroit, MI, United States

This study will investigate the effects of Huntington disease (HD) progression on white matter microstructure and microglial activation using diffusion magnetic resonance imaging and positron emission tomography in HD patients over the course of 6 months (baseline and 6 month visit). Age-matched healthy controls will be followed up similarly. Baseline differences between HD and healthy controls will likely reflect effect of HD pathology on white matter tracts and assessing longitudinal changes accompanied by disease progression will reflect the temporal and spatial changes.

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Progressive Supranuclear Palsy versus Parkinson’s disease-related damage using quantitative multimodal MRI
Nadya Pyatigorskaya1,2,3, Lydia Yahia-cherif1,3, Rahul Gaurav1, Claire Ewenczyk4, Cecile Gallea1, Romain Valabregue1, Fatma Gargouri1, Eric Bardinet1, Cyril Poupon5, Marie Vidailhet3,4, and Stephane Lehericy1,2,3

1CENIR, ICM, Paris, France, 2Neuroradiology, APHP, Pitie Salpêtrière, Paris, France, 3Sorbonne Universite, Univ Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France, 4Clinique des mouvements anormaux, Département des Maladies du Système Nerveux, Hôpital Pitié-Salpêtrière, PARIS, France, 5NeuroSpin, CEA, Gif-Sur-Yvette, France

Our primary objective was to generate a precise in vivo model of neurodegeneration of brainstem nuclei, cerebellum, basal ganglia, basal forebrain, and cortex using multimodal MRI in progressive supranuclear palsy (PSP). Secondary objective was to use multimodal imaging biomarkers to efficiently differentiate PSP from Parkinson disease (PD) patients and healthy control subjects (HC). Multiple factorial analyses of the regional damage allowed to efficiently differentiate PSP from HC and PD, in agreement with previous pathological studies. These results suggest the possibility of direct non-invasive assessment of brain damage at multiple level of the central nervous system in PSP and efficient multimodal multiregional based differential diagnosis between PSP and PD patients

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Associations Between Dual Task Cost and Striatal Functional Connectivity in Parkinson’s Disease with Mild Cognitive Impairment
Ece Bayram1, Karthik Sreenivasan1, Jason Longhurst1, Sarah Banks2, Zhengshi Yang1, Xiaowei Zhuang1, Dietmar Cordes1, Aaron Ritter1, Jessica Caldwell1, Brent Bluett3, and Virendra Mishra1

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of California, San Diego, La Jolla, CA, United States, 3Stanford University, Stanford, CA, United States

This study investigated striatal functional connectivity correlates of dual-tasking in Parkinson’s disease with and without mild cognitive impairment using resting state fMRI. Increased caudate functional connectivity with frontotemporal, insular and subcortical regions were associated with increased dual task cost in Parkinson’s disease with mild cognitive impairment, whereas correlations were only seen in increased putamen and supplementary motor area functional connectivity and increased dual task cost in PD participants. These results reveal that dual tasking is associated with different striatal functional connectivity patterns in PD participants, with and without, cognitive impairment suggesting compensatory mechanisms in Parkinson’s disease with mild cognitive impairment.

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Altered topological properties of gray matter structural covariance networks inminimal hepatic encephalopathy
Tian-Xiu Zou1 and Hua-Jun Chen1

1Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China

Despite the abnormal structural findings in cirrhotic patients with MHE, previous studies have only focused on regional structural changes in cirrhosis and did not consider brain network-level architecture. Recent progress in structural MRI analysis has facilitated the development of a human brain structural network model that is based on statistical correlations of morphological descriptors, including the thickness of the cortex or regional gray matter volume (RGMV). We investigated the topological alterations involving brain structural covariance networks in MHE patients for the first time. Our results suggest that MHE patients exhibit an unoptimizable architecture involving the gray matter structural covariance network and provide structural evidence supporting that MHE is a neurological complication related to disrupted neural networks.


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Factor analysis of atlas-segmented brain MRSI data in HIV infection
Liangjie Lin1,2, Kalpana J. Kallianpur3, Cecilia M. Shikuma3, Andreia V. Faria1, Hubert Liu4, Anna Wang1, Zhong Chen2, and Peter B. Barker1,5

1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Electronic Science, Xiamen University, Xiamen, China, 3Hawaii Center for AIDS, University of Hawaii, Honolulu, HI, United States, 4Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 5F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

HIV-infection may cause HIV-associated neurocognitive disorder. Here, factor analysis is applied to atlas-segmented brain MRSI data from a cohort of HIV-positive subjects to evaluate the relationships of MRSI measures with neuropsychological test performance and immunologic markers. Results indicate that distribution of NAA in right-hemisphere brain regions of basal ganglia, thalamus, etc. may be positively correlated with CD4 counts, and distribution of Cho in both hemispheres of similar regions positively correlated with CD8 counts in HIV-infected subjects. Higher neuropsychological z-scores tends to be associated with higher NAA and/or lower Cho distributions in specific brain regions.

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Contributions of cardiovascular risk and smoking to chronic obstructive pulmonary disease (COPD)-related changes in brain structure and function
Catherine A Spilling1, Mohani-Preet K Bajaj1, Daniel R Burrage2, Sachelle Ruickbie2, Jade N Thai3, Emma H Baker2, Paul W Jones2, Thomas R Barrick1, and James W Dodd4

1Institute for Molecular and Clinical Sciences, St George's University of London, London, United Kingdom, 2Institute for Infection and Immunity, St George's University of London, London, United Kingdom, 3Clinical Research and Imaging Centre, University of Bristol, Bristol, United Kingdom, 4Academic Respiratory Unit, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom

Structural and functional brain abnormalities have been reported in chronic obstructive pulmonary disease (COPD), however, it is unclear whether these occur independently of cardiovascular risk. Neuroimaging and clinical markers of brain structure and function were compared between 27 COPD patients and 23 age-matched non-COPD smoker controls. Clinical relationships and group interactions with brain structure were tested. COPD patients showed a specific pattern of structural (lower grey matter volume) and functional (lower cognitive function and psychological status) brain abnormalities that could not be explained by cardiovascular risk. Lower lung function and psychological ill-health were associated with markers of white matter damage.

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Microstructural changes of the cortico-striatal pathway in Fabry disease: a diffusion MRI connectometry study
Matteo Battocchio1, Sirio Cocozza2, Simona Schiavi1, Giuseppe Pontillo2, Camilla Russo2, Antonio Pisani3, Alessandro Daducci1, and Arturo Brunetti2

1Computer Science Department, University of Verona, Verona, Italy, 2Advanced Biomedical Sciences Department, University “Federico II”, Naples, Italy, 3Nephrology Unit, University “Federico II”, Naples, Italy

Aim of this study was to investigate the presence of microstructural alterations along the cortico-striatal pathway of Fabry Disease (FD) patients. Mean Fractional Anisotropy (FA) values of bundles connecting the motor cortex with the striatum were extracted from 15 FD patients and 14 controls.We found a reduction of mean FA values, along bundles of the cortico-striatal pathway in FD patients compared to HC (p=0.04 and p=0.01 for the right and left side, respectively).Our preliminary results confirm the presence of an extrapyramidal involvement in FD patients, showing the presence of microstructural changes affecting the cortico-striatal pathway in this condition.

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Longitudinal monitoring of the cerebral iron load in de novo neurological Wilson disease
Monika Dezortova1, Petr Dusek2,3, Artem Lescinskij1,2, Julio Acosta-Cabronero4,5, Radan Bruha6, and Milan Hajek1

1MR-Unit, Dept. Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic, 2Dept. Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 3Dept. Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 4German Center for Neurodegenerative Diseases, Magdeburg, Germany, 5Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom, 64th Dept. Internal Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic

We report a long-term study of three de novo diagnosed Wilson disease patients with neurological form who repeatedly underwent magnetic resonance imaging and neurological examinations for 2 years after treatment initiation. The quantitative measurement of susceptibility revealed higher values in basal ganglia and thalamus compared to controls which correspond to higher iron accumulation.

Degree of iron load reflected the clinical severity of neurological impairment. Thus, we can suppose that the increase of the brain iron concentration can be a marker of suboptimal response to anti-copper therapy and unfavorable outcome.


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Quantitative Susceptibility Mapping shows differences in substantia nigra of individuals with 22q11.2 deletion syndrome and controls
Nestor Andres Muñoz 1,2,3, Marisleydis García1,2,3, Carlos Milovic1,2,3, Manuel Chapa1,3,4, Cristian Montalba2,3,5, Julio Acosta-Cabronero6, Sergio Uribe2,3,5, Marcelo Andia2,3,5, Gabriela Repetto7, Analía Cuiza1, Cristian Tejos1,2,3, and Nicolás Crossley2,3

1Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4Biomedical Imaging Center, Santiago, Chile, Santiago, Chile, 5Department of Radiology, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom, 7Center of Genetics and Genomics, Santiago, Chile

Unlike individuals with Parkinson’s disease, patients with 22q11.2 deletion syndrome at risk of Parkinson show an increase in dopamine at striatal regions. Since iron levels are related to dopamine levels, we studied the difference of magnetic susceptibility between 17 patients with the deletion and 19 healthy individuals.  Susceptibility measurements were obtained with QSM and then compared using a Mann Whitney U test. Results showed a significant difference in the substantia nigra, which indicates a possible cause for the increased levels of dopamine in 22q11.2 individuals at Parkinson’s risk. 

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Disrupted topological brain organizations in large-scale cortical networks between impaired and nonimpaired active fighters
Virendra R Mishra1, Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Sarah Banks2, Dietmar Cordes1, and Charles Bernick3

1Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of California, San Diego, San Diego, CA, United States, 3Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States

Using neuropsychological scores from the Professional Fighters Brain Health Study (PFBHS), this study first identified 70 cognitively impaired active professional fighters, and then matched 70 nonimpaired fighters but matched on demographics, and other fighting criteria. This study shows that repeated head trauma is associated with altered coordination of large-scale structural brain networks, especially in the long-range connections. Furthermore, the cortical thickness of regions identified as hubs has the potential of developing into a predictive biomarker for identifying the fighters that will develop cognitive decline due to repeated head trauma. 

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Improved sensitivity to longitudinal changes with advanced DTI analysis in a rare neurodegenerative disease
Young Woo Park1, James M Joers1, Diane Hutter1, Khalaf Bushara2, Gulin Oz1, and Christophe Lenglet1

1Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurology, University of Minnesota, Minneapolis, MN, United States

We present an optimized processing pipeline for longitudinal DTI data analysis in spinocerebellar ataxia type 1 (SCA1) patients, a rare neurodegenerative disease. Tract-based spatial statistics (TBSS) analysis was used to investigate longitudinal changes in white matter (WM) integrity in patients. While no significant changes in WM integrity were observed using the standard TBSS analysis pipeline, TBSS with advanced spatial normalization with DTITK tool showed significant longitudinal alterations in WM integrity. This result suggests that the use of advanced spatial normalization must be considered for longitudinal group studies of DTI data, especially when small to moderate disease effects are expected.

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Chemical exchange saturation transfer imaging depending on several neurodegenerative diseases at 3T
Yuki Matsumoto1, Masafumi Harada1, Yuki Kanazawa1, Takashi Abe1, Maki Otomo1, and Mitsuharu Miyoshi2

1Tokushima University, Tokushima, Japan, 2Global MR Applications and Workflow, GE Healthcare Japan, Tokyo, Japan

In this study, CEST imaging was performed on the substantial nigra, the basal ganglia, and cerebral cortex level to reveal the mechanism each neurodegenerative disease. For this study, patients with Parkinson’s disease, multiple system atrophy, progressive supranuclear palsy, and spinocerebellar degeneration were examined. Region-of-interest analysis was performed in the substantia nigra, red nuclei, lentiform nucleus, and supplementary motor area. As the results, the CEST parameters were significantly different for each of the neurodegenerative diseases. CEST imaging might have the ability to obtain abnormal proteins each of the neurodegenerative diseases.

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Evaluating Countermeasures Against Chemical Warfare Nerve Agents using Diffusion Tensor Imaging
Kevin Lee1, Matthew Bouchard1, Sara Bohnert2, Steven D Klaassen3, Roland M van den Berg3, Marloes J.A. Joosen3, and Jeff F. Dunn1

1Radiology, University of Calgary, Calgary, AB, Canada, 2Defence Research and Development Canada-Suffield Research Centre, Ralston, AB, Canada, 3CBRN Protection, TNO, Rijswijk, Netherlands

Seizures induced by chemical warfare nerve agents cause debilitating neurological damage. It is widely accepted that the main contributor to this neuropathology is excitotoxic damage. Current countermeasures to the damage are effective in preventing mortality, but do not always prevent nerve agent-induced seizures and related neuropathology. We have applied diffusion tensor imaging to study the microstructural changes in the brain to evaluate the efficacy of countermeasures against chemical warfare nerve agents. 


Neuroimaging: Flying High at 7T & Beyond

Exhibition Hall
Tuesday 13:30 - 14:30
 Neuro

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Quantitative susceptibility mapping of post-mortem ALS brains at 7T with quantitative iron histopathology validation
Chaoyue Wang1, Benjamin Tendler1, Menuka Pallebage-Gamarallage2, Olaf Ansorge2, Sarah Bangerter-Christensen2, Ricarda AL Menke1, Martin R Turner2, Sean Foxley3, and Karla Miller1

1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Department of Radiology, University of Chicago, Chicago, IL, United States

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease of the motor system and its wider cortical connections. Progress in therapeutic development in ALS is compromised by a lack of specific biomarkers. In this work, we describe a platform for QSM data acquisition and post-processing protocol for postmortem brains. Preliminary results of 10 brains (validated with quantitative ferritin staining) have shown that ALS brains had significant higher mean susceptibility in motor cortex than control brains, which indicates that QSM has the potential to accurately quantify iron concentration and thus serve as an imaging biomarker for ALS.

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Quantitative analysis of the wall thickness and enhancement ratio of intracranial aneurysms using high-resolution black-blood imaging at 7T
Zihao Zhang1,2, Qingle Kong1,3, Xinke Liu4, Chengcheng Zhu5, Zhaoyang Fan6, Jing An7, Youxiang Li4, and Yan Zhuo1,2

1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China, 3University of Chinese Academy of Sciences, Beijing, China, 4Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Beijing, China, 5Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 6Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China

Three-dimensional turbo-spin-echo (3D-TSE) is increasingly being used in black-blood imaging of intracranial aneurysms. In this study, we optimized the protocol of T1-weighted (T1w) 3D-TSE to reach a high isotropic resolution of 0.40 mm. The inner wall thickness and enhancement ratio were analyzed in sections from ten aneurysms. The segments of aneurysmal walls with a higher wall thickness tend to represent a higher enhancement ratio (Pearson correlation, r = 0.32, p < 0.001). The wall thickness and enhancement ratio should be comprehensively considered to predict the prognosis of intracranial aneurysms.

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Cardiac and Respiratory induced 3D Brain Tissue Strain as Marker of Physiological Blood Volume Dynamics at 7T MRI.
Jacob Jan Sloots1, Peter R. Luijten1, Geert Jan Biessels2, and Jaco J. M. Zwanenburg1

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology, University Medical Center Utrecht, Utrecht, Netherlands

Brain tissue deformation induced by the cardiac and respiration cycles could be a valuable source of information on the physiology of the brains tissue properties. In this work, we assess the tissue deformation by computing the tissue strain from DENSE displacement data sets and unravel cardiac and respiratory contributions by using a linear model. We observed consistent trends in the three strain components due to cardiac and respiration cycles, which agree with blood volume changes. In contrast to tissue displacement, the tissue strain may serve as a reliable novel marker of physiological blood volume dynamics in the brain.

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Optimizing the DENSE Sequence for Accurate Brain Tissue Strain Measurements at 7T MRI.
Jacob Jan Sloots1, Peter R. Luijten1, Geert Jan Biessels2, and Jaco J. M. Zwanenburg1

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology, University Medical Center Utrecht, Utrecht, Netherlands

Brain tissue strain could be a valuable source of information on the brains tissue properties. Therefore, accurate DENSE measurements are crucial, since the computation of tissue strain requires spatial derivatives, which amplifies noise present in the displacement maps. In this work, we optimize the SNR in the displacement maps and substantiate the theory with both computer simulations and measurements. We tested the optimized settings in one volunteer and found a factor of 1.66 SNR increase compared to previously reported experiments. Preliminary results in one volunteer in the basal ganglia showed heartbeat-induced strain of approximately 2.1·10-3 and inspiration-induced strain of -0.54·10-3.

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Most small cerebral cortical veins demonstrate significant flow pulsatility: a human phase contrast MRI study at 7T
Ian D Driver1, Maarika Traat1,2, and Richard G Wise1

1Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Institute of Psychology, University of Tartu, Tartu, Estonia

We demonstrate new methods to identify and quantify the characteristics of flow pulsatility in small cerebral cortical veins to aid better understanding of the haemodynamics of this little-studied vascular compartment. 7T cardiac-gated motion sensitive phase contrast MRI was combined with an automated method for establishing where venous flow is pulsatile, revealing pulsatile flow in 104 out of 132 veins assessed in parietal and frontal regions. Distributions of pulsatility index and pulse waveform delay were characterized, indicating a small delay in cortical veins compared to the superior sagittal sinus, but no differences between veins draining different arterial supply territories.

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Multi-modal 7T imaging of the Locus Coeruleus in healthy older adults
Catarina Rua1, Claire O'Callaghan2, Luca Passamonti3, P Simon Jones3, Kamen Tsvetanov4, James Rowe3,5, Rong Ye3,5, Adrian Carpenter1, Christopher T Rodgers1, and Guy Williams1

1Department of Clinical Neurosciences, Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 2Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge, United Kingdom, 3Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 4Department of Psychology, Centre for Speech, Language and the Brain, University of Cambridge, Cambridge, United Kingdom, 5Medical Research Council Cognition and Brain Sciences Unit, Cambridge, United Kingdom

The Locus Coeruleus (LC) is the main source of cerebral noradrenaline, which modulates many cognitive domains from attention and motivation to mood and memory. However, the LC is a small structure located in the mid-brain, proven difficult to detect in-vivo. We studied healthy individuals using high-resolution MT-w, R2*, QSM, and fMRI at 7T to characterize the LC’s shape and size, magneto-chemical and functional properties. While no R2* or QSM contrast was found in the LC, it was clearly detected in MT-images and showed widespread functional connectivity towards cortex and cerebellum, These results are the benchmark for future studies in dementia.

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Global and Focal Effects of Radiation Therapy on the Cerebral Vasculature in Pediatric Brain Tumor Survivors using simultaneous MRA-SWI at 7T
Sivakami Avadiappan1, Melanie A Morrison1, Angela Jakary1, Erin Felton2, Schuyler Stoller2, Christopher P Hess1,2, Sabine Mueller2,3, and Janine M Lupo1

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Neurology, University of California, San Francisco, San Francisco, CA, United States, 3Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States

With the improved survival of children with brain tumors, understanding the late effects of the treatment has become critical.  This study explores the effects of RT on vascular structure using a combined MRA-SWI sequence at 7T and a new method for arterial segmentation and quantification. Normalized arterial volume was significantly reduced with increasing RT treatment volume, number of CMBs, and at follow-up. CMBs were located closer to veins than arteries and were larger when further away. Our findings demonstrate the feasibility of our approach for quantifying subtle vascular changes in arterial structure and CMB properties due to RT.

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Investigation of microstructural differences in the nigrosome-1 region of the substantia nigra between healthy and Parkinson’s disease subjects at 7T
Yiming Xiao1, Jonathan C Lau1,2, Terry M Peters1,2,3, and Ali R Khan1,2,3,4

1Imaging Research Laboratories, Robarts Research Institute, Western University, London, ON, Canada, 2School of Biomedical Engineering, Western University, London, ON, Canada, 3Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada, 4The Brain and Mind Institute, Western University, London, ON, Canada

The loss of hyperintense signals of the nigrosome-1 region within the substantia nigra on T2*w MRI has previously been investigated as a potential biomarker for Parkinson’s disease (PD). Although the radiological observation is expected to be induced by microstructural changes, which can provide more insights into the mechanisms of PD, no relevant MRI studies have been conducted so far. With ultra-high-field 7T MRI, we compared the microstructural features of the nigrosome-1 regions between healthy and PD subjects using quantitative MRI, and revealed alterations in T1, R2*, mode of anisotropy, and fractional anisotropy within this subregion due to the disease. 

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Longitudinal Study of APT-weighted CEST in the Brain at 7T in Patients with Multiple Sclerosis
Kristin P. O'Grady1,2, Seth A. Smith1,2,3, Sanjana Satish2, Nirbhay Yadav4,5, Margaret Spini6, Seongjin Choi7, and Daniel M. Harrison7

1Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4The Russell H. Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 6University of Maryland School of Medicine, Baltimore, MD, United States, 7Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States

Amide proton transfer weighted chemical exchange saturation transfer (APTw-CEST) MRI has been applied with whole-brain coverage in a longitudinal study in patients with relapsing-remitting, secondary progressive, and primary progressive multiple sclerosis (MS). APTw-CEST is sensitive to amide protons on proteins and peptides and may provide insight into the pathological processes underlying symptoms and disease progression in MS. Our preliminary results show increased APTw-CEST contrast in relapsing-remitting MS patients and decreased contrast in primary progressive MS patients, as well as differences in CEST contrast in lesions for these disease subtypes.

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Volumetric Brain Analysis in Older HIV-positive and -negative Subjects using 7T MRI
Mona A. Mohamed1, Richard L. Skolasky2, Andreia V. Faria1, Peter B. Barker1, and Ned C. Sacktor3

1Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, United States, 2Orthopaedic Surgery, Johns Hopkins Medical Institutions, Baltimore, MD, United States, 3Neurology, Johns Hopkins Medical Institutions, Baltimore, MD, United States

Structural brain MRI is often performed to evaluate regional brain structure and atrophy in elderly subjects with cognitive impairment. In this study, 7T MRI was applied to 62 individuals 50 years and older (40 HIV+); an age-appropriate adult brain atlas was then used to segment and compare regional brain volumes as a function of age, HIV serostatus and neurocognitive classification.

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Observation of Iron Deposition in Cynomolgus Monkeys with the Parkinson’s Disease using Quantitative Susceptibility Mapping at 7T MRI
Sangwoo Kim1,2, Sukhoon Oh2, Youngjeon Lee3, Chang-Yeop Jeon3, Philyong Kang3, Keunil Kim2, Youngjae Jeon1,2, Jincheol Seo3, Seung Ho Baek3, Yeung Bae Jin3, and Chulhyun Lee1,2

1Bio-Analytical Science, University of Science & Technology, Cheongju, Korea, Republic of, 2Bioimaging Research Team, Korea Basic Science Institute, Cheongju, Korea, Republic of, 3National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Korea, Republic of

The anatomic sensitivity of iron deposition in the Parkinson’s disease (PD) study remains controversial with exception of the substantia nigra (SN). A 14-year-old PD-modeled cynomolgus monkey and an age-matched healthy control were scanned at 7T MRI. The average susceptibility ratio of the caudate nucleus, putamen, thalamus (TH) and SN were increased approximately 21~76 %. We found significantly increased susceptibility values in the SN pars compacta (SNc) and TH. In addition to the high-sensitivity of the SNc in PD, we have also seen that the TH could be a diagnostic biomarker of PD in terms of the movement disorder.

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Endovascular thrombectomy using stentretrievers affects the vessel wall:  impact demonstrated by wall enhancement at 7T
My Truong1,2, Karin Markenroth Bloch3, Mads Andersen4, Gunnar Andsberg5, Johannes Töger6, and Johan Wasselius1,2

1Medical Imaging Neuroradiology, Skåne University Hospital Lund, Lund, Sweden, 2Dept. of Clinical Sciences, Lund University, Lund, Sweden, 3Lund University Bioimaging Center, Lund University, Lund, Sweden, 4Philips Healthcare, Copenhagen, Denmark, 5Dept. of Neurology, Skåne University Hospital Lund, Lund, Sweden, 6Dept. of Diagnostic Radiology, Skåne University Hospital Lund, Lund University, Lund, Sweden

Stroke is increasingly treated by removing the vessel obstruction via endovascular thrombectomy. 3T imaging has shown wall enhancement after endovascular thrombectomy, and we hypothesize that 7T MR will be beneficial to visualize this enhancement as the higher field strength allows for higher resolution imaging. Seven patients were examined at 7T within two days after endovascular thrombectomy. Vessel wall images pre- and post-contrast administration were reviewed by two neuroadiologists, who rated the image quality as excellent in all cases. In all patients, wall enhancement was found, and correlated to the site of the stent-retriever rather than the site of the embolus.

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Optimization of adiabatic pulses for Pulsed Arterial Spin Labeling (pASL) at 7T
Kai Wang1, Jin Jin2,3,4, Lirong Yan1, and Danny Wang1

1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, United States, 21 Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 3Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck school of medicine, University of Southern, Los Angeles, CA, United States, 4School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

The goal of this work was to optimize and evaluate three types of adiabatic pulses for pulsed ASL (PASL) at 7T including Hyperbolic Secant (HS)[1], WURST[2] and FOCI[3] pulses using theoretical simulation, phantom and in vivo scans. WURST has the lowest loss in simulation and outperforms HS/FOCI in experiments. The optimized WURST pulse with the maximally allowed B1 is preferred to HS and FOCI pulses for adiabatic inversion in 7T PASL.

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Age-related changes in tissue T1, T2 values of the human brain quantified by 2D PnP-MRF at 7T MRI
Koji Fujimoto1, Martijn A Cloos2, Atsushi Shima3, Dinh Ha Duy Thuy1, Nobukatsu Sawamoto4, Ryosuke Takahashi3, Tadashi Isa1,5, and Tomohisa Okada1

1Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 4Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 5Department of Neuroscience, Graduate School of Medicine, Kyoto University, Kyoto, Japan

To investigate age-related changes in T1 and T2 of brain tissues at 7T, healthy volunteers (N=45, age range 20-81) were scanned using a 1ch-Tx/32ch-Rx coil and a Plug-and-Play MR Fingeprinting (prototype) sequence. Six brain regions (putamen, globus pallidus, caudate head, thalamus, frontal white matter (WM) and frontal gray matter (GM)) were evaluated. Linear and quadratic curve fitting was performed. Significant linear correlation in T2 was found for the putamen and frontal WM and a quadratic correlation was found for the putamen (T2), globus pallidus (T2), thalamus (T1) and frontal WM (T1/T2).

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Reduction of power deposition using VERSE RF pulses to decrease acquisition time in pulsed ASL sequence at high field.
Sagar Buch1, Omer Oran1, Ravi S Menon1,2, and Hacene Serrai1

1Centre for Functional and Metabolic Mapping, Univ. of Western Ontario, london, ON, Canada, 2Medical Biophysics, Univ. of Western Ontario, london, ON, Canada

The use of Arterial spin labelling at high field, allow for a gain in sensitivity in brain perfusion images. However, this necessitates an increase in acquisition time due to SAR limits. To address this problem, the conventional selective RF pulses used for saturation of the blood in the PICORE Q2TIPS tagging technique of the Pulsed ASL sequence were replaced by their corresponding VERSE RF pulses, to achieve the same task with less power. As a result, perfusion images were obtained in a shorter acquisition time allowing for an increase of both the number of acquisitions and SNR. 

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Inter-site, inter-subject and inter-session variability of B1+ and B0 in the human brain at 7 tesla.
William T Clarke1, Olivier Mougin2, Ian D Driver3, Catarina Rua4, Andrew T Morgan5, Susan Francis2, Richard Bowtell2, Richard Wise3, Adrian Carpenter4, Christopher T Rodgers4, Keith Muir5, and Stuart Clare1

1Wellcome Centre for Integrative Neuroimaging, FMRIB, NDCN, University of Oxford, Oxford, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom, 4Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 5Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom

At ultra-high field strengths, e.g. 7 tesla, the homogeneity of the transmit B1+-field and the B0-field decreases compared to lower fields. This can strongly affect the contrast in images especially when imaging large volumes, such as the whole brain.

 

In this work we measure the mean and variance of B1+- and B0-fields in whole brain images acquired on four, whole-body human 7T scanners. We demonstrate that inter-subject differences dominate over inter-site differences in explaining the observed B0- and B1+-field variability. Inter-session differences are not significant.


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7T MRS of neurometabolites and associations with cognitive deficits in mild cognitive impairment
Georg Oeltzschner1,2, S. Andrea Wijtenburg3, Mark Mikkelsen1,2, Richard A. E. Edden1,2, Peter B. Barker1,2, Jin Hui Joo4, Jeannie-Marie S. Leoutsakos4, Laura M. Rowland3, Clifford I. Workman4, and Gwenn S. Smith1,4

1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Neuroimaging Research Program, Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States, 4Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

Mild cognitive impairment (MCI) is associated with increased risk of developing Alzheimer’s Disease (AD). Here, levels of multiple brain metabolites in healthy controls and MCI patients using 7T magnetic resonance spectroscopy in the anterior (ACC) and posterior (PCC) cingulate cortex were studied. MCI patients showed decreased GABA/tCr (ACC, PCC), Glu/tCr (PCC), NAA/tCr (PCC), and increased mI/tCr (ACC). Worse episodic verbal memory performance correlated with lower Glu/tCr (PCC), lower NAA/tCr (PCC), and higher mI/tCr (ACC, PCC). Worse verbal fluency performance correlated with lower GSH/tCr (PCC). In summary, MCI is associated with decreased GABA and glutamate, most consistently in the PCC.

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Monitoring the neurotransmitter response to hypoglycemia in the prefrontal cortex in diabetes using an advanced MRS protocol at 7T
Young Woo Park1, Dinesh K Deelchand1, James M Joers1, Elizebeth Seaquist2, and Gulin Oz1

1Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Medicine, University of Minnesota, Minneapolis, MN, United States

Studies of neurotransmitter response to changing glycemia levels are needed to address mechanisms of cerebral adaptations to hypoglycemia. Here we present an advanced MRS acquisition protocol that combines commercial 7T hardware, dielectric padding, optical motion tracking and frequency and B0 shim correction to ensure optimal stability of data quality during a challenging infusion protocol to maintain euglycemic and hypoglycemic blood glucose levels. Data obtained from the prefrontal cortex in patients with type 1 diabetes demonstrate excellent quality and reproducibility during euglycemia and hypoglycemia, which will allow robust mechanistic investigations of the primary neurotransmitters, glutamate and GABA, under changing glycemic conditions.

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GABA and GSH at 7T: to edit or not to edit?
Anouk Marsman1, Anna Lind1, and Esben Thade Petersen1,2

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 2Center for Magnetic Resonance, Dept. Electrical Engineering, Technical University of Denmark, Lyngby, Denmark

With the number of 7T sites increasing, more brain-MRS studies will be conducted at 7T. Particularly GABA and GSH are of interest and benefit from the increased resolution. To date, studies have applied both conventional and edited MRS to measure these metabolites, however, there is no consensus on whether to use edited MRS. This study shows that it depends on brain region and potentially voxel size and number of acquisitions, whether it is preferable to use editing for GABA. There is less reason to argue that editing benefits measurement of GSH, but this study indicates a slight preference for editing.

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Impact of Autocalibration Method on Accelerated Echo-Planar Imaging of the Cervical Spinal Cord at 7 T
Alan C Seifert1,2,3 and Junqian Xu1,2,3,4

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Respiration-induced B0 fluctuations are significantly greater in the cervical spinal cord than in the brain at 7T, increasing k-space phase inconsistencies and necessitating a separate evaluation of autocalibration scan (ACS) methods for accelerated EPI.  We tested four ACS methods (single-shot EPI, segmented EPI, FLEET, and GRE) under three physiological conditions (end-expiration breath-hold, free-breathing, and intentional swallowing).  GRE and single-shot EPI ACS methods, which are robust to respiration-induced phase errors between k-space segments, produce images with fewer and less severe artifacts than either FLEET or conventionally segmented EPI ACS methods for accelerated EPI of the cervical spinal cord at 7T.

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Comparison of Perivenular Perivascular Spaces at 7 Tesla in Relapsing-Remitting Multiple Sclerosis Patients and Healthy Controls
Annie E. Arrighi-Allisan1, Ilena C. George2, John W. Rutland1,3, Gaurav Verma3, Bradley N. Delman4, Priti Balchandani3, Sam Horng2, and Rebecca E. Feldman3

1Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Multiple sclerosis (MS) is a CNS autoimmune disease of unknown etiology. Prior MS studies have characterized an inflammatory process involving the perivascular spaces (PVSs) of a central vein, but have reported conflicting results regarding which aspects of PVS anatomy correlate to clinical aspects of the disease. This preliminary study compared percentages of manually marked perivenular and non-perivenular PVSs in relapsing-remitting MS patients and healthy controls, and detected a higher rate of vein-coincident PVSs in the former group. We posit that perivenular PVSs have potential as a candidate imaging marker for MS diagnosis, disease activity, and treatment efficacy.

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Improvement of R2* mapping in Alzheimer’s Disease at 9.4T through reduction of B0 fluctuation-induced image artifacts using Navigator Echoes
Elisa Tuzzi1,2, Gisela Elisabeth Hagberg1, Alexander Loktyushin 1, Rolf Pohmann1, Anja Zeller3, Christoph Laske 4, and Klaus Scheffler1

1High Magnetic Field, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Institute for Biomedical Magnetic Resonance, Eberhard Karl’s University, Tübingen and University Hospital Tübingen, Tuebingen, Germany, 3Department of Psychiatry and Psychotherapy, Eberhard Karl’s University, Tübingen and University Hospital Tübingen, Germany, Tuebingen, Germany, 4Department of Psychiatry and Psychotherapy, Eberhard Karl’s University, Tübingen and University Hospital Tübingen, Tuebingen, Germany

Ultra-High-Field (UHF) MRI provides a potential non-invasive means to investigate Alzheimer’s Disease (AD). R2* map is one of the most established MRI techniques to detect iron concentration in the brain. However, image quality can be substantially affected by B0 fluctuation-related-artifacts at UHF. In this study we showed an improvement of the quality of R2* maps in AD at 9.4T using Navigator Echos approach.

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High Resolution MR Imaging of Amyloid Deposition in 5xFAD Mice Brains at 21.1 T
David C Hike1,2, Tara N Palin3, Scott E Boebinger4, and Samuel Colles Grant1,2

1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States, 3Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Biomedical Engineering, Georgia Institute of Technology & Emory University School of Medicine, Atlanta, GA, United States

This study utilizes high resolution 3D images acquired at 21.1 T to display the presence of amyloid plaques, which temporally correlate with the progression of structural connectivity alterations in this transgenic preclinical model. As a function of phenotype, age and gender, high resolution scans were performed on APP/PS1 mouse brains and age-matched wild-type controls. Data indicate that plaques may be visible in mice as young as 4 months without the use of any magnetic contrast agents.

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Quantitative Assessment of Treatment Efficacy in Acute Ischemia using Perfusion and Diffusion Weighted Imaging at 21.1-T
F. Andrew Bagdasarian1,2, Shannon Helsper1,2, Xuegang Yuan2, Jens T. Rosenberg1, Nastaren Abad1,2, Teng Ma2, and Samuel Colles Grant1,2

1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States

This study employs perfusion and diffusion weighted imaging (PDWI) at 21.1 T to identify the pattern of potential recovery of cerebral blood flow (CBF) and apparent diffusion coefficient (ADC) in ischemic stroke with a novel stem cell therapy using dissociated aggregate human mesenchymal stem cells (d-hMSC) in a rodent stroke model. Spanning a week post ischemia, high field MRI was performed with the goal of quantitatively assessing treatment efficacy longitudinally. Results show longer term increase of ADC in the ischemic region and shorter term CBF stabilization in the contralateral region.

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Sodium MRI at 21.1 T to Assess Stroke Recovery Following Adult Human Mesenchymal Cell Transplantation
Shannon Helsper1,2, F. Andrew Bagdasarian1,2, Xuegang Yuan2, Jens T. Rosenberg1, Jea-Young Lee3, Kaya Xu3, Teng Ma2, Cesar V. Borlongan3, and Samuel Colles Grant1,2

1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States, 3Center of Excellence for Aging & Brain Repair, University of South Florida, Tampa, FL, United States

This study evaluates recovery following transplantation of human mesenchymal stem cell (hMSC) aggregates labeled with micron-sized particles of iron oxide (MPIO) in a rodent model of ischemic stroke at 21.1 T. Unlike previous studies using single cells, intact aggregates were implanted directly into the contralateral ventricle. Longitudinal MRI post-implantation was used to investigate T2-weighted lesion volume and sodium (23Na) distribution as well as hMSC aggregate localization and cell migration following middle cerebral artery occlusion. MR results correlate with behavioral assessments and histology of tissue recovery. In particular, sodium decreases indicate recovery of tissue homeostasis following hMSC aggregate implantation.


Artificial Intelligence Is Taking Over Your Brain 1

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

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Deep Neural Network based Feature Selection in rs-fMRI Brain Functional Connectivity
Gengyan Zhao1, Gyujoon Hwang1, Cole Cook1, Fang Liu1, Mary Meyerand1, and Rasmus Birn1

1University of Wisconsin - Madison, Madison, WI, United States

Deep neural networks (DNN) have been successfully applied to various prediction tasks in rs-fMRI, but the feature selection mechanism of it often appear to be a black box. We developed understanding of DNN’s prediction mechanism and proposed a feature selection method based on each feature’s contribution to the prediction. Experiments were done on the functional connectivity (FC) gender prediction to extract gender related brain FC patterns with 1003 subjects’ rs-fMRI data. The proposed method was validated by the cross-entropy loss of each feature’s prediction, and results showed the selected features are robust and consistent with the findings in previous studies.

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Automated Prediction of Stroke Lesion Outcome using Multiparametric Deep Neural Network
Zexin Yan1, Lian Ding2, Hongkun Yin3, Haiyan Lou4, and JUN YANG3

1School of Data and Computer Science, Sun-Yat Sen University, Guangzhou, China, 2Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, 3YITU Healthcare, Shanghai, China, 4Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China

   Recent stroke trials raised a demand for triage decision intelligence of ischemic lesion progression. This study aimed to develop a multiparametric deep neural network to segment regions that predicted final infarct formation. The PWI-derived CBF, CBV, MTT and Tmax maps served as multi-channel inputs to algorithm training. We used a 2.5D U-Net to generate lesion segmentation. Our approach showed a good sensitivity and specificity with AUC of 0.868 in predicting the final lesions, and a comparable performance of DICE and IOU. In conclusion, we demonstrated feasibility for predicting tissue outcome in acute ischemic stroke with multiparametric deep learning algorithm

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Ultrafast Brain Segmentation using a 3D Fully Convolutional Neural Network for Risk Stratification of Cognitive Impairment and Dementia
Jian Wu1, Alex Graff1, Jason Deckman1, Dmitry Tkach1, Hyun-Kyung Chung1, Natalie M Schenker-Ahmed1, David Karow1, and Christine Leon Swisher1

1Human Longevity, Inc., San Diego, CA, United States

Early detection and intervention has the potential for slowing disease progression of dementia. Brain segmentation of T1W structural MRI is an effective biomarker for assessing cognitive decline. However, automatic brain segmentation has required lengthy processing time and utilizes single structure for risk stratification. In this study, we developed a 3D fully convolutional neural network for ultrafast brain segmentation. Both qualitative and quantitative analysis demonstrated that our segmentation method has a strong generalization capability achieving promising experimental results. Furthermore, we utilized multiple regions in combination and defined a new biomarker to better differentiate early disease progression of normal versus MCI in addition to MCI versus Dementia. Our multi-region approach outperforms conventional single biomarkers.

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Automatic Dentate Nuclei Segmentation based on Quantitative Susceptibility Maps using a Convolutional Neural Network: Application to Healthy Controls and Cerebellar Ataxia Patients
Nina Jacobsen1, Dominik Jäschke2, Sophia Luise Goericke3, Jürgen R. Reichenbach1,4, Dagmar Timmann2,5, Daniel Güllmar1, and Andreas Deistung1,2,5

1Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany, 2Department of Neurology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany, 3Department of Diagnostic and Interventional Radiology and Neuroradiology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany, 4Michael-Stifel-Center-Jena for Data-Driven and Simulation Science, Friedrich-Schiller University Jena, Jena, Germany, 5Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany

Non-invasive visualization and segmentation of the dentate nucleus is helpful for characterizing neurological diseases. Therefore, we set up an automatic segmentation strategy relying on a convolutional neural network (CNN) for the delineation of the dentate nucleus based on quantitative susceptibility maps. We trained the network on 101 healthy controls and 118 patients suffering from various types of cerebellar ataxia. We were able to demonstrate that the CNN accurately segments the dentate nuclei in 26 healthy controls and 21 SCA6 patients with volume estimates being in agreement with literature.

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Segmentation of Diffuse White Matter Abnormality in Preterm Infants using Deep Learning
Hailong Li1, Nehal A. Parikh1,2, Jinghua Wang3, Stephanie Merhar1,2, Ming Chen4, Milan Parikh1, Scott Holland5,6, and Lili He1,2

1Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 2Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 3Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 4Electronic Engineering and Computing Systems, University of Cincinnati, Cincinnati, OH, United States, 5Medpace Inc, Cincinnati, OH, United States, 6Physics, University of Cincinnati, Cincinnati, OH, United States

Diffuse white matter abnormality (DWMA) is observed in 50-80% of very preterm infants at term-equivalent age. Despite autopsy studies showing correlation with neuropathology, the relationship of DWMA with long term neurodevelopmental impairments remains controversial. The controversy may be due to the qualitative nature of previous studies of DWMA, likely resulting in measurement error and perhaps contributing to the lack of association with neurodevelopmental impairments in some studies. In this study, we developed a deep learning approach to objectively and automatically segment DWMA regions on T2-weighted MRI images. The internal and external validations demonstrated very accurate and reproducible DWMA segmentation performance.

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Quad-contrast imaging with deep learning-powered reconstruction: 2-minute neuro-evaluation
Sooyeon Ji1, Doohee Lee1, Se-Hong Oh2, and Jongho Lee1

1Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Biomedical Engineering, Hankuk University of Foreign Studies, Seoul, Korea, Republic of

A 2D multi-contrast sequence with deep learning-powered reconstruction is developed to generate four contrast images (PDw, T1w, T2w, and FLAIR) and two quantitative maps (T1 and T2) in 2 minutes of scan time. For the reconstruction, a new deep learning method that assures both data consistency and image fidelity is applied with the joint reconstruction of the quad-contrast k-space data.

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Machine Learning Approach Assisted MRI Characterization for Diagnosis of Neonatal Bilirubin Encephalopathy
Zhou Liu1,2, Bing Ji2, Ge Cui3, Ling Ding4, Xiaofeng Yang3, Liya Wang2,4, and Hui Mao2

1Graduate School, Medical College of Nanchang University, Nanchang, China, 2Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 3Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, United States, 4Radiology, People's Hospital of Longhua, Shenzhen, China

Diagnosis of acute bilirubin encephalopathy (ABE) in newborns based on T1-weighted spin echo images in clinical routine is challenging due to subtle signal intensity change in the basal ganglia caused by ABE often overlapping with the presence of signal enhancement from the normal myelination in the infant brain. We used a feature-extraction-based machine learning approach to identify ABE associated morphological features from T1-weighted images of 34 ABE neonates. We found textural features along with intensity-based features added specific information for distinguishing ABE from normal myelination, demonstrating the feasibility of using this approach to assist MRI diagnosis of neonatal ABE.

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Application of a Clinically Viable Deep-Learning-Based QSM Workflow on Stroke Cases
Juan Liu1 and Kevin Koch1,2

1Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, United States, 2Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

Quantitative Susceptibility Mapping (QSM) can quantitatively estimate tissue magnetic susceptibility, which enables differentiation of diamagnetic calcifications and paramagnetic hemorrhages. The translation of QSM into clinical practice faces technical implementation challenges, particularly the QSM inversion process. In the clinical practice current QSM post-processing techniques are constrained due to large slick thicknesses, which result in compromised background field removal and streaking artifacts in QSM images. To address these limitations, here we a apply a deep-learning-based QSM pipeline, including: (1) a 2D neural network to construct brain masks, (2) a background field removal deep neural network reveal local tissue fields, and (3) a QSM inversion deep neural network. Nine patients with stroke were scanned using a clinical susceptibility-weighted MR protocol were used to demonstrate that the proposed clinically viable QSM workflow can effectively detect microbleeds and differentiate calcifications from hemorrhages.

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Age prediction from time-of-flight MR angiography using deep learning: Comparison of the predicted age among normal, MCI and AD.
Hunjin Chung1, Yoonho Nam2, KoungMi Kang3, Chul-Ho Sohn3, KangHyun Ryu1, Jinhee Jang2, and Dong-Hyun Kim1

1Yonsei University, Seoul, Korea, Republic of, 2Seoul St. Mary’s Hospital, Seoul, Korea, Republic of, 3Seoul National University Hospital, Seoul, Korea, Republic of

Time-of-Flight (TOF) MR angiography (MRA) provides meaningful vascular information related to aging.  Recently, we have developed a deep learning based chronological age prediction model from 3D TOF data and demonstrated its accuracy in predicting the age of normal volunteers. In this study, to investigate its clinical utilities, we applied the deep learning model to subjects with mild cognitive impairment and Alzheimer’s disease.

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Deep Learning-based Detection of DSC-Defined Penumbral Tissue on pCASL in Acute Ischemic Stroke
Kai Wang1, Qinyang Shou2,3, Samantha J. Ma1, David Liebeskind4, Xin J. Qiao5, Fabien Scalzo4, Jeffrey Saver4, Noriko Salamon5, and Danny JJ Wang1,4

1Lab of Functional MRI Technology, University of Southern California, Los Angeles, CA, United States, 2Stevens Institute of Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, United States, 3Shanghai Jiaotong University, Shanghai, China, 4Neurology, UCLA, Los Angeles, CA, United States, 5Radiology, UCLA, Los Angeles, CA, United States

Arterial spin labeled (ASL) techniques can provide cerebral blood flow (CBF) measures without the use of a contrast agent, and it has been shown to provide largely consistent results with DSC perfusion in delineating hypoperfused brain regions in AIS while also providing information on hyperemic lesion.  In this study, we develop a deep learning-based model to identify the hypoperfusion lesion on ASL images based on the DSC perfusion-defined penumbra region and diffusion weighted imaging (DWI). Our results show that deep learning can predict the DSC-defined penumbral region in ASL with dice coefficient=0.43. 

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Radiomics and machine learning analysis of brain lesions in MOG-ab-positive and AQP4-ab-positive patients
Liqin Yang1, Wei Xia2, Haiqing Li1, Daoying Geng1, and Yuxin Li1

1Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China, 2Academy for Engineering & Technology, Fudan University, Shanghai, China

Little is known about the differences between the lesion features of the recently discovered MOG-ab-positive and well-demonstrated AQP4-ab-positive patients till now. We studied the radiomics features of 747 lesions from AQP4 patients, and 295 lesions from MOG patients. Seventy radiomic features were calculated and compared. Features with significant between-group discrimination ability input to the classifier and trained. A radiomics signature was obtained for the discrimination of MOG-ab-positive and AQP4-ab-positive patients. These results provide valuable information for understanding of pathogenesis and imaging-based initial diagnosis in the two subsets of patients.

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Standardization of MRI as Pre-Processing Method for Machine Learning Based Segmentation
Robert T Wujek1,2 and Kathleen M Schmainda3

1Biomedical Engineering, The Medical College of Wisconsin, Milwaukee, WI, United States, 2Biomedical Engineering, Marquette University, Milwaukee, WI, United States, 3Biophysics, The Medical College of Wisconsin, Milwaukee, WI, United States

In this study, standardization methods are used to pre-process brain MRI to generate a machine learning dataset for tumor segmentation. This method was chosen for previously documented repeatability properties as compared to more widely used normalization methods, which could potentially lead to a more generalized segmentation model. When applied to the publicly available BRATS dataset, the standardization methods performed equally as well as the normalization method used in this study, which supports further analysis of the methods beyond the highly controlled BRATS dataset.

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Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimer’s Disease Using a Machine Learning-based Optimized Combination-Feature Set
Hyug-Gi Kim1, Soonchan Park2, Hak Young Rhee3, Kyung Mi Lee4, Chang-Woo Ryu2, Soo Yeol Lee5, Seong Jong Yun2, Eui Jong Kim4, Yi Wang6, Wook Jin2, Dal Mo Yang2, and Geon-Ho Jahng2

1Biomedical Engineering, Graduate School, Kyung Hee University, Suwon, Korea, Republic of, 2Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 3Neurology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 4Radiology, Kyung Hee University Hospital, Seoul, Korea, Republic of, 5Biomedical Engineering, College of Electronics & Information, Kyung Hee University, Suwon, Korea, Republic of, 6Biomedical Engineering and Radiology, Cornell University, New York, NY, United States

To investigate the approach of classification and prediction methods using the machine learning (ML)-based optimized combination-feature (OCF) set on gray matter volume (GMV) and QSM in elderly subjects with a cognitive normal (CN) profile, those with amnestic MCI (aMCI), and mild and moderate AD patients, GMV and QSM in the brain were calculated. To differentiate the three subject groups, the support vector machine (SVM) with the three different kernels and with the OCF set was conducted with GMV and QSM values. To predict the aMCI stage, regression-based ML models were developed with the OCF set.

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Deep Learning with Synthetic Diffusion-Weighted Images for Acute Ischemic Stroke Detection
CHRISTIAN FEDERAU1,2, Javier A. Montoya-Zegarra1, Soren Christensen3, Julian Maclaren3, Johanna Ospel2, Victor Schulze-Zachau2, Maarten Lansberg3, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland, 2Department of Radiology, University Hospital Basel, Basel, Switzerland, 3Neurology, Stanford University, Palo Alto, CA, United States

We studied the feasibility and accuracy of a deep learning algorithm trained on one million realistic synthetic acute stroke lesion images to detect and segment stroke lesions on clinical MR DW images. We compared this method to a more conventional approach, where a deep learning algorithm was trained on 10’000 human labelled images. 

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Cohort Stratification by Clinical Symptoms through Unsupervised Learning Reveals Metabolic and Microstructural Brain Alterations in Former American Football Players
Molly Faith Charney1, Janna Kochsiek2,3, Tyler C. Starr1, Michael Alosco4, Brett Martin4, Huijun Liao1, David Kaufmann2,3, Lauren J. O'Donnell5, Sylvain Bouix2, Fan Zhang5, Nikos Makris6, Martha Shenton2,7, Robert Stern4, Inga Koerte2,3, and Alexander P. Lin1

1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, United States, 3Child and Adolescent Psychiatry, Ludwig-Maximilians-Universität, Munich, Germany, 4Boston University, Boston, MA, United States, 5Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, MA, United States, 6Massachusetts General Hospital, Boston, MA, United States, 7VA Boston Healthcare System, Brockton, MA, United States

Chronic Traumatic Encephalopathy (CTE) is a neurodegenerative disease associated with exposure to repetitive head impacts. This study aims to characterize the differing clinical presentations of CTE using MR Spectroscopy and Diffusion Tensor Imaging. Unsupervised Learning was first used to divide a cohort of former NFL players into sub-groups based on the degree of mood/behavior symptoms and cognitive impairment relative to controls. The neurometabolite concentrations and measures of diffusivity were then compared between the sub-groups. Athletes with increased mood/behavior symptoms showed alterations reflective of neuroinflammation, whereas the cognitive impairment sub-group showed more neuronal and structural alterations.

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Estimating the Age of Healthy Children Based on Myelination Pattern in Brain MRI using a Deep Learning Neural Network Method
Yuya Saito1,2, Akihiko Wada2, Masaaki Hori2, Koji Kamagata2, and Shigeki Aoki2

1Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 2Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan

In this study, we used deep learning model to estimate the age of children based on the MR signal changes associated with myelination process on T1 and T2-weighed images. Brain MR images of 119 children age ranging from 0.25 to 24 months were first used as a training and test dataset. The age was then estimated by deep learning model based on the T1-WI and T2-WI dataset and T1-WI only dataset. Our results showed that convolution neural network model using T1WI and T2WI dataset demonstrated higher correlation and lower mean absolute error (MAE) compared to T1-WI only dataset.

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Applying Unsupervised Machine Learning Techniques to Resting-State BOLD Multicenter Neuroimaging of Pre-adolescent Complex Congenital Heart Disease Patients to Enhance Image Harmonization and Predict Motion Artifact Characteristics
Jenna Schabdach1, Vincent Schmithorst2, Vince Lee2, Rafael Ceschin1,2, and Ashok Panigrahy1,2

1Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States, 2Pediatric Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States

Resting-state BOLD MR images are invaluable for evaluating the neurocognitive state of patients, particularly populations at high risk for neurodevelopmental impairment; however, BOLD images are highly susceptible to motion. The combination of machine learning and image reconstruction techniques during and after BOLD image acquisition holds great promise for harmonizing images and recovering motion-corrupted data. However, there is little information about the relationship between unsupervised ML techniques and characteristics of resting BOLD images. We examined resting state BOLD image harmonization and motion in a set of complex congenital heart disease case and healthy control adolescent subjects acquired through a multi-center study.  

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The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging
Yasuhiko Tachibana1,2, Akifumi Hagiwara2,3, Masaaki Hori2, Jeff Kershaw1, Misaki Nakazawa2, Tokuhiko Omatsu1, Riwa Kishimoto1, Shigeki Aoki2, Tatsuya Higashi4, and Takayuki Obata1,4

1Applied MRI Research, Department of Molecular imaging and Theranostics, National Institute of Radiological Sciences, QST, Chiba, Japan, 2Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 4Department of Molecular imaging and Theranostics, National Institute of Radiological Sciences, QST, Chiba, Japan

Myelin volume measurement based on rapid-simultaneous-relaxometry-imaging (RSRI) is useful for the clinic. However, the software that translates RSRI into the index map contains a potential weak point: the index is obtained using a pixelwise table-lookup that doesn't incorporate information from surrounding pixels. A novel deep-learning-based method was developed to overcome this problem. A myelin volume index based on magnetization-transfer saturation imaging was used as a reference for training and testing. The proposed method was evaluated by leave-one-out cross-validation using images from 20 healthy volunteers. Correlation with the reference was significantly higher for the proposed method.

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Automatic classification of early-onset neurodegenerative dementia patients using artificial neural networks
Camilla Cividini1, Federica Agosta1, Silvia Basaia1, Luca Wagner1, Maura Cosseddu2, Elisa Canu1, Stefano Gazzina2, Giuseppe Magnani3, Elka Stefanova4, Vladimir S. Kostic4, Roberto Gasparotti5, Alessandro Padovani2, Barbara Borroni2, and Massimo Filippi1,3

1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 2Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy, 3Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 4Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Yugoslavia, 5Neuroradiology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy

We built and validated a convolutional neural network (CNN) to predict the individual diagnosis of early-onset Alzheimer’s disease (EOAD) and behavioral variant of frontotemporal dementia (bvFTD) based on a single T1-weighted image. The analysis showed that CNN procedure was able to discriminate EOAD from healthy controls with an accuracy of 83% (sensitivity=85% and specificity=80%). CNNs differentiated bvFTD patients from controls with an accuracy of 73% (sensitivity=63% and specificity=83%). CNNs provide a powerful tool for the automatic classification of early-onset neurodegenerative dementia and perform well without any prior feature engineering and regardless the variability of imaging protocols and scanners.

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Predicting response to motor therapy in chronic stroke patients based on clinical and connectivity measurements using Machine Learning
Ceren Tozlu1, Dylan Edwards2,3,4, Aaron Boes5, K. Zoe Tsagaris4, Joshua Silverstein4, Heather Pepper Lane4, Mert R. Sabuncu6, Charles Liu7, and Amy Kuceyeski1,8

1Department of Radiology, Weill Cornell Medical College, New York City, NY, United States, 2Moss Rehabilitation Research Institute, Elkins Park, Elkins Park, PA, United States, 3Edith Cowan University, Joondalup, Australia, 4Burke Neurological Institute, White Plains, NY, United States, 5Iowa Neuroimaging and Noninvasive Brain Stimulation Laboratory, Departments of Pediatrics, Neurology & Psychiatry, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA, United States, 6School of Electrical and Computer Engineering, and Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States, 7USC Neurorestoration Center, Los Angeles, CA; and Rancho Los Amigos National Rehabilitation Center, Downey, CA, United States, 8Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States

Statistical methods, including machine learning, are a highly promising avenue with which to improve prediction accuracy in clinical practice. The main objective of this study was to use machine learning methods to predict a chronic stroke individual’s motor function after 6 weeks of intervention from demographic, neurophysiological and imaging measurements. Our main finding was that Elastic-net outperformed Support Vector Machine, Artificial Neural Network, Random Forest, and Classification and Regression Trees in predicting post-intervention Fugl-Meyer Assessment. The addition of structural dysconnectivity measurements to the demographic and neurophysiological data did not improve the performance of the methods.

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Automated brain extraction of multi-sequence MRI using artificial neural networks
Irada Tursunova1, Marianne Schell1, Fabian Isensee2, Ulf Neuberger1, Gianluca Brugnara1, David Bonekamp3, Wolfgang Wick4,5, Martin Bendszus1, Klaus H Maier-Hein2, and Philipp Kickingereder1

1Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 2Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Neurology, Heidelberg University Hospital, Heidelberg, Germany, 5Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), Heidelberg, Germany

Brain extraction is a preliminary but critical step in many neuroimaging studies and determines the accuracy of subsequent analyses. Standard brain extraction algorithms are, however, limited to the processing of precontrast T1-weighted (T1-w) MRI and frequently fail in the presence of pathologically altered brain. Here we developed a new algorithm based on artificial neuroal networks (ANN) that enables rapid, automated and robust brain extraction irrespective of pathology, sequence type, hardware or acquisition parameters and lays the groundwork for automated, high-throughput processing of neuroimaging data. 

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Prediction of Chronological Age from Routine T2-weighted Spin-echo Brain Magnetic Resonance Images by Deep Convolutional Neural Network
Inpyeong Hwang1, Hyeonjin Kim1, and Ji-hoon Kim1

1Seoul National University Hospital, Seoul, Korea, Republic of

Brain-predicted age may be used as a potential biomarker of brain aging. Given that 2D T2-weighted images are more routinely acquired from patients than those 3D images, this study investigated the potential applicability of 2D images in deep learning-based prediction of brain age with an assumption that each individual slice of the T2-weighted brain images possesses brain age-associated features learnable by a convolutional neural network (CNN). The purpose of this study was to investigate whether there are learnable features by a CNN in each slice of routine T2-weighted spin-echo brain MR images that might be associated with normal aging.

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Exploiting Heterogeneous Data for Automatic Classification of Multiple Sclerosis Clinical Forms through Neural Networks
Aldo Marzullo1,2, Claudio Stamile1, Gabriel Kocevar1, Francesco Calimeri2, Giorgio Terracina2, Françoise Durand-Dubief1,3, and Dominique Sappey-Marinier1,4

1CREATIS, University Claude Bernard Lyon 1, Lyon, France, 2Department of Mathematics and Computer Science, University of Calabria, Rende, Italy, 3Hôpital Neurologique, Service de Neurologie A, Hospices Civils de Lyon, Lyon, France, 4CERMEP - Imagerie du Vivant, Université de Lyon, Lyon, France

This work is aimed at producing a fully automatic model for the classification of MS clinical profiles exploiting heterogeneous source of data. The task is addressed by extracting the connectivity graph of the subject as well as the corresponding MRI-derived feature vector, and then by applying a two-branches NN procedure to obtain the corresponding classification.

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Structural changes in auditory and language-processing cortices and thalamus are predictors of word recognition ability after cochlear implantation
Zhe Sun1, Ji Won Seo2, Jee Yeon Lee2, Min Young Kwak2, Yehree Kim2, Je Yeon Lee2, Hong Ju Park2, and Hosung Kim1

1Neurology, University of Souther California, Los Angeles, CA, United States, 2Otolaryngology, Asan Medical Center, Seoul, Korea, Republic of

Long-term hearing loss may lead structural changes in brain cortices. These alterations may affect language outcome of the cochlear implant (CI) surgery. We aimed to predict the surgery outcome using imaging features of such cortical structural changes. We individually calculated GM density maps. We applied a random-forest regression to the GM density map and clinical variables, and found the competence of the imaging features in CI outcome prediction. The most accurate prediction was made with GM density changes in the middle temporal cortex, a critical network node of language processing, and in the thalamus, a structure (de-)coupling cortical language operations.

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Deep Learning for Characterizing Image Sequence Significance in Brain Tissue Segmentation
IVAN CORONADO1, REFAAT GABR1, SUSHMITTA DATTA1, SHEEBA SUJIT1, FRED LUBLIN2, JERRY WOLINSKY3, and PONNADA NARAYANA1

1Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center, Houston, TX, United States, 2Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Neurology, University of Texas Health Science Center, Houston, TX, United States

Deep learning (DL) is an effective way for performing automatic multi-channel (or contrast) semantic segmentation.  Here we investigated the accuracy of tissue segmentation as a function of the number and combinations of contrasts to the input of a fully convolutional neural network.  The multi-contrast images included FLAIR, pre-contrast T1-, T2-, and proton density-weighted images, acquired on  a large cohort of multiple sclerosis patients. Our results show that the number of input channels affects the segmentation accuracy in a tissue-dependent manner and that FLAIR is the major determinant of segmentation accuracy.


Brain Tumors: Pre-Treatment

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

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APT-weighted imaging for differentiation between brain tumors of glial origin
Faris Durmo1, Jimmy Lätt2, Anna Rydhög2, Johan Bengzon3, Jonas Svensson2, Anina Seidemo4, Frederik Testud5, Benjamin Schmitt6, Peter van Zijl7,8, Linda Knutsson4,7, and Pia C. Sundgren1,2,9

1Clinical Sciences, Department of Radiology, Lund University, Lund, Sweden, 2Center for Medical Imaging and Physiology, Skåne University Hospital, Lund and Malmö, Lund, Sweden, 3Department of Neurosurgery, Lund University, Lund, Sweden, 4Department of Medical Radiation Physics, Lund University, Lund, Sweden, 5Siemens Healthcare AB, Malmö, Sweden, 6Siemens Healthcare Pty. Ltd., Sydney, Australia, 7Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 8F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 9Lund university Bioimaging Center, Lund University, Lund, Sweden

Gliomas of different histopathological grades have diametrically different prognosis and need biopsy-verification for diagnosis. Amide Proton Transfer weighted imaging (APTw), a non-invasive CEST MRI technique,  was utilised for tumor differentiation of low grade and high grade brain gliomas. Mean lesional APTw-effect was quantified in regions with highest signal in 20 individuals. The information proved to be useful as the findings demonstrated that APTw increased the diagnostic accuracy in the clinical setting which may reduce treatment delay and improve diagnostics. APTw-imaging therefore shows promise as a clinical tool.

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Diffusion Tensor and Conventional Imaging Radiomics Features to Differentiate the EGFR Mutation Status of Brain Metastases from Non-Small Cell Lung Cancer
Yae Won Park1, Seng Chan You2, Jongmin Oh1, Sang Wook Kim3, Kyunghwa Han4, Sung Soo Ahn4, Sung Jun Ahn5, Hwiyoung Kim4, Jong Hee Chang4, Se Hoon Kim4, and Seung-Koo Lee4

1Ewha Womans University College of Medicine, Seoul, Korea, Republic of, 2Ajou University School of Medicine, Suwon, Korea, Republic of, 3Korea University, Seoul, Korea, Republic of, 4Yonsei University College of Medicine, Seoul, Korea, Republic of, 5Gangnam Severance Hospital, Seoul, Korea, Republic of

We assessed whether radiomics features on diffusion tensor imaging and postcontrast T1-weighted (T1C) images differentiates the epidermal growth factor receptor (EGFR) status in brain metastases from non-small cell lung cancer (NSCLC). Radiomics features (n=5046) were extracted from 54 brain metastases patients with NSCLC (29 EGFR-wildtype, 25 EGFR-mutant). After feature selection, radiomics models were constructed by various machine learning algorithms. Diagnostic performances were compared between multiparametric and single MRI radiomics models. The best performing multiparametric radiomics model (AUC 0.97) showed better performance than any single radiomics model using ADC (AUC 0.79, p=0.007), FA (AUC 0.75, p=0.001), or T1C (AUC 0.96, p=0.678).

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Visualization of Brain Shift Corrected fMRI data for Intraoperative Brain Mapping
Sanam Maknojia1, Fred Tam1, Sunit Das2,3, Tom Schweizer2,4, and Simon Graham1,5

1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Keenan Research Centre, St. Michael's Hospital, Toronto, ON, Canada, 3Division of Neurosurgery, St. Michael's Hospital, Toronto, ON, Canada, 4Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada, 5Depart of Medical Biophysics, University of Toronto, Toronto, ON, Canada

Functional Magnetic Resonance Imaging (fMRI) facilitates the presurgical planning of awake craniotomies, but its use during the procedures remains limited. During intraoperative brain mapping by direct cortical electrical stimulation (DCS), fMRI is typically displayed separately or mentally recalled. The use of fMRI data in this manner is difficult and is further complicated by brain deformation or "shift". An image registration pipeline is presented that addresses this issue by providing covisualization of fMRI and DCS with acceptable accuracy for intraoperative use. This visualization method has the potential to improve the workflow of intraoperative brain mapping.

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MRI features of the third ventricle subventricular zone suggest differing optic pathway glioma pathology for neurofibromatosis type-1 and sporadic paediatric cases
Natalie R Boonzaier1, Patrick W Hales1, Felice D'Arco2, Bronwen C Walters3,4, Ramneek Kaur1, Kshitij Mankad2, Jessica Cooper2, Alki Liasis3, Sian E Handley3, Patricia O'Hare5, Darren Hargrave5, and Christopher Clark1

1Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom, 2Radiology Department, Great Ormond Street Children's Hospital, London, United Kingdom, 3Ophthalmology Department, Great Ormond Street Children's Hospital, London, United Kingdom, 4Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Children's Hospital, London, United Kingdom, 5Haematology and Oncology Department, Great Ormond Street Children's Hospital, London, United Kingdom

Paediatric optic pathway glioma (OPG) is a low-grade glioma whose cells likely originate from the subventricular zone of the third ventricle (TVZ). Neurofibromatosis type-1 (NF1) OPG is less clinically aggressive than sporadic OPG, being less likely to cause visual function deficit. Using measures of migrating tumour activity, this study analysed the imaging profiles at the TVZ. Apparent diffusion coefficient (ADC) and cerebral blood flow (CBF) profiles associated with migrative tumour cell activity were detected at the TVZ and correlated with poor visual function in sporadic, but not NF1-associated, cases. These results suggest that MRI can identify imaging characteristics that differentiate sporadic and NF1-associated OPG.

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The comparison of L-FBPA PET/MR and PET/CT for BNCT treatment evaluation
Yi-Wen Lo1, Ko-Han Lin1, Yi-Wei Chen2, Rong-Hong Jhou1, Chien-Ying Li1, Li-Chen Shen3, Bang-Hung Yang 1, Chi-Wei Chang1, and Wen-Sheng Huang1

1Department of Nuclear Medicine, Taipei Veterans General Hosptial, Taipei City, Taiwan, 2Department of Radiation Oncology, Taipei Veterans General Hosptial, Taipei City, Taiwan, 3Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei City, Taiwan

We hypothesized that o-fluoro-L-p-boronophenylalanine (L-18FPBA) PET/MR could provide more precise treatment planning for Boron neutron capture therapy (BNCT) compared with L-18FBPA PET/CT. We implemented the phantom trial to measure the radioactivity correlation between PET/CT and PET/MR. Results have high comparability. We accessed patients who were potentially eligible for BNCT with same paradigms. The initial results represented acceptable correlation between these two modalities. Furthermore, because of high sensitivity and sophisticated imaging resolution, medics can easy to organize the more accurate treatment planning. In conclusion, PET/MR provides comparable L-18FBPA quantitative measurement and more diagnostic accuracy than PET/CT.

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Initial Condition Assessment from Patient MRI Data for Reaction-Diffusion Glioma Growth Models
Corentin Martens1,2, Thierry Metens1,2, Olivier Debeir2, Serge Goldman1, and Gaetan Van Simaeys1

1Hôpital Erasme (ULB), Bruxelles, Belgium, 2Laboratories of Image, Signal processing and Acoustics (ULB), Bruxelles, Belgium

Reaction-diffusion tumour growth models have been proposed to assess glioma invasion beyond the MR visible margins as well as for patient follow-up and radiotherapy planning. However, initial tumour cell density assessment from patient imaging data remains an open problem, limiting the clinical application of the model. In this work, three initialisation methods are proposed and simulations from actual glioblastoma patient imaging data are compared. This work demonstrates the strong dependence of the model in its initial condition and highlights the need to integrate additional MR sequences and modalities for the assessment of a patient-specific tumour cell density profile.

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Diagnostic accuracy of T1-weighted Dynamic Contrast-enhanced-MRI and Dynamic Susceptibility MRI for Differentiation of Glioblastoma and Primary CNS Lymphoma
Yoshiyuki Watanabe1, Masahiro Fujiwara2, Takuya Fujiwara2, Hiroto Takahashi2, Chisato Matsuo2, Hisashi Tanaka2, Hideyuki Arita3, Manabu Kinoshita3, Naoyuki Kagawa3, and Noriyuki Tomiyama2

1Future Diagnostic Radiology, Osaka University, Suita, Osaka, Japan, 2Radiology, Osaka University, Suita, Japan, 3Neurosurgery, Osaka University, Suita, Japan

We retrospectively studied 33 consecutive patients with a diagnosis of GBM or PCNSL performed both DCE and DSC imaging. The rCBV of GBM are significantly larger, and Ktrans of GBM was significantly lower than that of PCNSL in CE ROIs. There was no significant difference between two tumors in CE ROI about other DCE parameters, Ve, Vp Kep and surrounding ROIS. The ROC analysis performed with respect to the GBM and PCNSL groups revealed that 90% tile rCBV and 50% tile of Ktrans showed the largest area under the curve (AUC) of 0.949 and 0.815, respectively. PCNSL can be differentiated from GBM with rCBV value and Ktrans. rCBV was superior to Ktrans in differentiating two tumors and Ktrans had no additional value in differentiating these tumors.

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Differentiation between Vestibular Schwannomas and Meningiomas with Atypical Appearance using Diffusion Kurtosis Imaging and Three-dimensional Arterial Spin Labeling Imaging
Xiaodan Chen1, Lin Lin2, Zhongping Zhang3, Yunbin Chen1, and Ying Chen1

1Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China, 2Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 3Philips Healthcare, Guangzhou, China

An accurate differentiation between vestibular schwannomas (VS) and meningiomas is critical in determining treatment strategies and clinical prognoses, but misdiagnoses may occur when typical imaging appearances are absent. We prospectively assessed the performances of diffusion kurtosis imaging (DKI) and three-dimensional arterial spin labeling imaging (3D-ASL) in the differentiation of VS and meningiomas with atypical appearance. Our study showed that DKI and 3D-ASL are useful for differentiating VS and meningiomas with atypical appearance, with kurtosis values of DKI have the best diagnostic efficiency.

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T1 relaxation time in the rotating frame MR imaging of gliomas:efficacy in preoperative grading
Zeyu Zheng1, Jing Zhang1, Yuefa Tan1, Huiyan Li1, Yingjie Mei2, Queenie Chan3, and Yikai Xu1

1Department of Medical Center, Nanfang hospital, Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Hongkong, China

Accurate glioma grading is crucial for therapeutic strategy and prognosis. T1ρ MRI could probe the interactions between motion-restricted water and macromolecules in tissues. Our study aimed to determine the diagnostic efficiency of T1ρ MRI in glioma grading. Significant differences were found by rT1ρ between low- and high-grade, WHO grade Ⅱ and Ⅲ, WHO grade Ⅱ and Ⅳ gliomas when we placed the ROIs in the solid portion and the peritumoral portion respectively. rT1ρ demonstrated a high diagnostic performance in the solid portion and a moderate diagnostic performance in the peritumoral portion in grading. T1ρ MRI has potential to be a noninvasive quantitative method for preoperatively grading gliomas. 

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The study of relationship between amide proton transfer(APT) imaging and IDH mutation status in patients with high-grade gliomas
Yonglu Chen1,2, Xinfeng Xie1, Yingjie Mei3, Yuelong Yang1, Xiaoling Wu1, Hongjun Liu1, and Biao Huang1

1Department of Radiology, Guangdong General Hospital, Guangdong Academy Of Medical Sicences, Guangzhou, China, 2Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 3Philips Healthcare, Guangzhou, China

We want to investigate the association of amide proton transfer weighted imaging (APTw) with isocitrate dehydrogenase (IDH) wild-type and IDH mutant of high-grade gliomas.All patients underwent MR scan, including APT san to getting the APT values of the whole tumor. The APT value of the IDH wild type group was significantly higher than that of the IDH mutant group. We conclude that APTw can be used to predict the gene type of IDH in high-grade gliomas before surgery.

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Towards the development of a microstructural model for Brain tumours
Samira Bouyagoub1, Antonella Castellano2, Maira Tariq3, Luisa Altabella2, Andrew Falini2, Eleftheria Panagiotaki3, and Mara Cercignani1

1Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, United Kingdom, 2Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Department of Computer Science, University College London, London, United Kingdom

While several multi-compartment models of diffusion have been developed to describe the healthy neural tissue, most of these models fail in the presence of tumours, because they are unable to capture their heterogeneity. By contrast, models of diffusion able to quantify histologic features of colorectal and prostate tumors in vivo have been proposed. Here we combine the sensitivity of these models to tumour histology and the ability of multi-compartment models of dMRI in the brain to describe the complexity of the neural tissue.

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Quantitative cerebral perfusion with Scale-PWI demonstrates WHO II/III grading in glioma patients
Hao Wu1,2, Yulong Zhang1,2, Xiaoyue Zhou3, and Weiguo Zhang1,2

1Department of Radiology, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China, 2Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China, 3MR Collaboration, Siemens Healthcare, Ltd., Shanghai, China

This study aimed to demonstrate that the Scale-PWI sequence with absolute quantification for cerebral perfusion in the solid region of the tumors was a meaningful diagnostic factor in grade-II and grade-III gliomas. Total 8 glioma patients (4 grade II , 4 grade III) were subjected Scale-PWI scanning.  ROC analysis confirmed that has great accuracy in grading World Health Organization (WHO) II and III gliomas.

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Novel Sequence for Improving Detection and Identification of Brain Tumor Lesions
Jinghua Wang1, Mary Gaskill-Shipley1, Michael Lamba2, Kim M Cecil1, Lily Wang1, Bin Zhang3, Hui Wang4, Lois Carpenter1, and Achala Vagal1

1Radiology, University of Cincinnati, Cincinnati, OH, United States, 2Radiation Oncology, University of Cincinnati, Cincinnati, OH, United States, 3Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 4Philips, Cincinnati, OH, United States

Early detection and accurate identification of lesions are very important for diagnosis and treatment of brain tumors. Contrast-enhanced (CE) magnetic resonance imaging (MRI)  is the gold standard method for the non-invasive identification of primary brain tumors and cerebral metastases. In clinical practice, current CE MRI protocols are acquired with an isotropic resolution around 1.0 millimeter at 3.0 T that is limited by tumor-tissue contrast to noise  efficiency. In this investigation, our purpose was to improve the efficiency by incorporating inversion recovery prepared spoiled gradient recalled (IR-GRE) sequence with hybrid k-space and variable flip angles to reach submillimeter resolution in clinical acceptable scan time.

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Classification of IDH and TP53 Mutational Subgroups of High-Grade Astrocytic Gliomas Based on Magnetic Resonance Spectroscopy at 3T
Esin Ozturk-Isik1, Sevim Cengiz1, Alpay Ozcan2,3, Cengiz Yakicier4, M. Necmettin Pamir5,6, Koray Ozduman5,6, and Alp Dinçer6,7

1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Biomedical Device Technologies, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Neuroradiology Research Center, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Neuroradiology Research Center, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Radiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey

The goal of this study is to define MR spectroscopic differences of high-grade astrocytic glioma subgroups classified by IDH and TP53 mutations at 3T. TP-53 mutated (TP53-mut) and TP53 wild-type (TP53-wt) gliomas had similar metabolic profiles. IDH mutation (IDH-mut) was the main factor contributing to the metabolic differences between IDH and TP53 mutational subgroups. IDH-mut/TP53-mut gliomas had lower Glyc (P=0.017), GSH (P=0.009), Glu (P=0.038), and Glx (P=0.002) than IDH-wt/TP53-mut gliomas. Gliomas who were IDH wild-type (IDH-wt) and TP53-mut had the highest Glu, Glyc, GSH, and Glx among all high-grade astrocytic gliomas, which might be indicators of poor overall survival.

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The Initial Tumor Microenvironment in Cerebral Patient-Derived Glioma Xenografts Affects Their Phenotypical Presentation
James R Ewing1,2, Ana deCarvalho2, Brent Griffith3, Stephen Brown4, George Divine5, Susan Irtenkauf2, Robert A Knight1, Ian Y Lee2, Swayamprava Panda1, Glauber Cabral1, and Taverekere N Nagaraja2

1Neurology, Henry Ford Health System, Detroit, MI, United States, 2Neurosurgery, Henry Ford Health System, Detroit, MI, United States, 3Radiology, Henry Ford Health System, Detroit, MI, United States, 4Radiation Oncology, Henry Ford Health System, Detroit, MI, United States, 5Public Health Sciences, Henry Ford Health System, Detroit, MI, United States

Patient-derived xenografts (PDXs) of human gliomas in murine models are unmatched in representing the molecular heterogeneity of the disease, but typically do not present with MRI contrast, and thus are not phenotypical. This may pose a limit to the assessment of trial therapies. PDX preparations were tweaked by co-injecting Matrigel with neurospheres. In one of the two cell lines studied, Matrigel promoted the formation of brain tumors whose genetic composition was that of the original human GBMs and whose radiologic appearance on MRI was similar to that seen in humans. In the second cell line, no BBB breakdown occurred. 

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An optimised protocol for dynamic oxygen enhanced imaging of brain tumours
William K Lloyd1, Erjon Agushi1,2, David Coope1,2, Daniel Lewis1,2, Alan Jackson1, and Geoff J M Parker1,3

1University of Manchester, Manchester, United Kingdom, 2Salford Royal NHS Foundation Trust, Manchester Centre for Clinical Neurosciences, Manchester, United Kingdom, 3Bioxydyn Limited, Manchester, United Kingdom

Hypoxia is an important factor in tumour resistance and regression. The use of oxygen as an MR contrast agent is gaining interest but the technique has been hampered by relatively low contrast, noisy data.  Here we present an optimised protocol for dynamic oxygen-enhanced MRI (dOE-MRI) of brain tumours. We present data from healthy normal volunteers that demonstrate the method’s capability of producing reliable oxygen-induced signal change and data from glioblastoma (GBM) patients demonstrating tumour sub-division specific changes, showing the potential of this method for mapping tumour hypoxia.

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Clinical and Radiological Characteristics of Histone H3 K27M Mutations in Midline Gliomas
Xiaorui Su1, Huaiqiang Sun1, Weina Wang1, Simin Zhang1, Qiyong Gong1, and Qiang Yue2

1Huaxi MR center(HMRRC), West China Hospital of Sichuan University, chengdu, China, 2Radiology, West China Hospital of Sichuan University, chengdu, China

The aim of the present study is to report the clinical and imaging characteristics of midline gliomas with H3 K27M mutations and to compare them with those gliomas without histone H3 K27M mutation in different age groups. There were 60 midline gliomas with H3 K27M mutation and 62 glioma patients without mutation included in this study. Mutant tumors were more likely diagnosed at an early age and located at infratentorial brain, with less contrast enhancement or edema. 

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A comparative study of dynamic susceptibility contrast enhanced perfusion weighted imaging with perfusion-related parameters of multiple b values diffusion weighted imaging for neuroepithelial tumors grading
Huafeng Xiao1, Xinjing Chen1, Yan Wang1, and Lin Ma1

1Department of Radiology, People’s Liberation Army General Hospital, Beijing, China

The tumour grading is of great importance in predicting the biological behaviour of the tumours and offers important guidance for prediction of prognosis and the selection of clinical interventions. For these reasons, with  dynamic susceptibility contrast enhanced perfusion weighted imaging (DSC)  as  reference  standards,  we retrospectively appraised  the  diagnostic  efficacy  of  perfusion-related  parameters  of  multiple b values diffusion weighted image (DWI) compared to appraise normalized lesion/normal tissue relative cerebral blood flow (nrCBF)in the prediction of  neuroepithelial tumors  grading.  62  patients  with  pathologically  proved  neuroepithelial tumors underwent conventional magnetic resonance sequences, multiple b values  DWI,  DSC. The  group  differences were not  significant  for  these  perfusion-related  parameters  of  mono-exponential  and biexponential model of multiple b values DWI.

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Amide proton transfer in high grade glioma: Correlation with apparent diffusion coefficient, relative cerebral blood volume and pharmacokinetic imaging parameters
Masanori Nakajo1, Kiyohisa Kamimura1, Tomohide Yoneyama1, Yoshihiko Fukukura1, Takashi Iwanaga2, Yuta Akamine3, Jochen Keupp4, and Takashi Yoshiura1

1Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan, 2Kagoshima University Hospital, Kagoshima, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Research, Hamburg, Germany

Our purpose was to investigate potential correlations amide proton transfer signal intensity (APTSI) with apparent diffusion coefficient, relative cerebral blood volume and pharmacokinetic imaging parameters in high grade glioma (HGG). APTSI showed significant positive correlations with ADC (ρ = 0.582, p < 0.001) and with Ve (ρ = 0.300, p = 0.002), and a significant negative correlation with Kep (ρ = -0.337, p = 0.002). These results suggested that high APTSI in HGG may reflect proteins and peptides in large extracellular space, in addition to those in the intracellular space.

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MR Textural Analysis on Contrast Enhanced 3D-SPACE Images in Assessment of Consistency of Pituitary Macroadenoma
Wenting Rui1

1RADIOLOGY, HUASHAN HOSPITAL, SHANGHAI, China

This study aimed to explore the value of MR textural analysis in assessing consistency of pituitary macroadenoma (PMA) based on contrast enhanced (CE) 3D-SPACE images. Fifty-three patients with PMAs that underwent CE 3D-SPACE scanning and endoscopic trans-sphenoidal surgery were included. First-order energy and second-order correlation negatively correlated with hard PMAs, while first-order entropy and second-order variance, sum variance, and sum entropy positively correlated with stiffness (P<0.05). Diagnostic accuracy of combined negative features could achieve an AUC of 0.819, and an AUC of 0.836 of positive features (P<0.001). MRTA using CE 3D-SPACE images is helpful for assessing PMA consistency preoperatively and noninvasively.  

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DTI assessment of optic pathway function in patients with anterior visual pathway compression
Eun-Jung Choi1, Koung Mi Kang2, Woojin Jung1, Jongho Lee1, Seung Hong Choi2, and Yong Hwy Kim3

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 3Department of Neurosurgery, Seoul National University Hospital, Seoul, Korea, Republic of

We explored the diffusion tensor imaging features of the optic radiations in patients with anterior visual pathway compression. The measurements were correlated with the visual tract impairment score. Significant differences in fractional anisotropy (FA), mean diffusivity (MD) and radial diffusivity (RD) were measured in the bilateral optic radiations depending on the visual disturbance. In addition, FA, MD and RD were correlated with the severity of visual field defects in the visual disturbance group. The results demonstrate the anterior visual pathway compression influences visual field defect affecting optic radiations in the brain.

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Serial HP [1-13C] pyruvate and 1H metabolic imaging in multiply recurrent high-grade glioma
Javier Villanueva-Meyer1, Adam Autry1, Jeremy Gordon1, Hsin-Yu Chen1, Daniele Mammoli1, Marisa LaFontaine1, Susan Chang1, Duan Xu1, Peder Larson1, Daniel Vigneron1, Sarah Nelson1, and Yan Li1

1UCSF, San Francisco, CA, United States

This study demonstrates the feasibility of repeatable serial HP 13C MRI in the neuro-oncologic clinical setting and proposes the utility of pyruvate-to-lactate to monitor treatment response.

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Isotropic Restricted Diffusion Correlates with Tumor Cellularity in Pediatric and Adult Malignant Brain Tumors
Zezhong Ye1, Jeffrey D. Viox2, Joshua Lin1, Sam E. Gary3, Jie Zhan4, Chunyu Song1, Ruimeng Yang5, Joshua Rubin6, Sonika Dahiya7, and Sheng-Kwei Song1

1Radiology, Washington University School of Medicine, Saint Louis, MO, United States, 2Medicine, University of Missouri – Kansas City, Kansas City, MO, United States, 3Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, AL, United States, 4Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China, 5Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 6Pediatrics, Washington University School of Medicine, Saint Louis, MO, United States, 7Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, United States

We demonstrated how ADC inconsistently correlates with histologically determined tumor cellularity rendering it an unreliable imaging biomarker of tumor cellularity in pediatric and adult malignant brain tumors. In contrast, modified-diffusion basis spectrum imaging (DBSI)-derived restricted isotropic diffusion fraction correlated with histology-determined cellularity in pediatric and adult malignant brain tumors.

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GAN based transformation of pathology data into its normative state for interventional neuro-therapy planning
Arathi Sreekumari1, Sandeep Kaushik1, Suresh Joel1, and Dattesh Shanbhag1

1GE Global Research, Bangalore, India

In this work, we demonstrate that images with pathologies can be transformed to its non-pathological normal state using a cycle Generative Adversarial Network (cGAN). Potential applications of the work are in surgical planning, radiation therapy planning and longitudinal studies.  

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A predictive model for postlaminar optic nerve invasion in retinoblastoma  basedon radiomic features from MR images
Zhenzhen Li1, Jian Guo1, and Junfang Xian1

1Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, Beijing, China

Retinoblastomas (RB) with postlaminar optic nerve invasion (PLONI) increases the risk for systemic metastasis or local recurrence. MRI is the only method to detect the PLONI in patients with eye-saving treatment strategies. But accuracy of MRI in identifying PLONI was relatively limited. Radiomics is an emerging field with a number of different uses being proposed. We hypothesized that radiomics can have an additional contribution to predicting PLONI in patients with retinoblastoma. This study validated our hypothesis.


Spinal Cords, Disks & Nerves

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

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MRI investigation of neurodegeneration in subacute SCI and its relation to functional outcome
Gergely David1, Markus Hupp1, Kevin Vallotton1, Jan Rosner1, Tim Emmenegger1, Silja Huwyler1, Maryam Seif1, Armin Curt1, and Patrick Freund1,2,3

1Spinal Cord Injury Center Balgrist, University Hospital Zurich, University of Zurich, Zurich, Switzerland, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom

In this study, for the first time, we performed voxel- and atlas-based DTI analysis along with high-resolution T2*-weighted imaging in subacute spinal cord injury (SCI) to investigate early micro- and macrostructural changes remote from the injury at C2/C3. Thereby, we aimed to test the predictive ability of early tract-specific degeneration for the chronic functional outcome. DTI and tissue area measurements between SCI patients and controls revealed demyelination in the dorsal columns, indicative of early anterograde degeneration of sensory tracts. Importantly, these early microstructural changes predicted 1-year functional recovery, demonstrating the clinical eloquence of early DTI measurements as a prognostic tool.

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3D broadband IR-prepared UTE bone Imaging for assessment of ossification of the posterior longitudinal ligament (OPLL) in the cervical spine
Masami Yoneyama1, Iain Ball2, Minako Azuma3, Toshinori Hirai3, and Marc Van Cauteren4

1Philips Japan, Tokyo, Japan, 2Philips Australia & New Zealand, North Ryde, Australia, 3University of Miyazaki, Miyazaki, Japan, 4Philips Healthcare, Tokyo, Japan

We proposed a new technique for the cervical spine MR bone imaging based on broadband inversion recovery prepared segmented multispoke UTE sequence (3D BoneVIEW) for assessment of ossification of the posterior longitudinal ligament (OPLL). 3D BoneVIEW provided robust spinal bone imaging with sufficient background suppression. This sequence might be useful for assessment of the OPLL as an alternative to CT bone imaging.

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T2 mapping of lumbosacral nerves in patients suffering from unilateral radicular pain due to degenerative disc disease
Nico Sollmann1, Dominik Weidlich2, Barbara Cervantes2, Elisabeth Klupp2, Carl Ganter2, Hendrik Kooijman3, Claus Zimmer1, Ernst J. Rummeny2, Bernhard Meyer4, Thomas Baum1, Jan S. Kirschke1, and Dimitrios C. Karampinos2

1Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 2Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 3Philips Healthcare, Hamburg, Germany, 4Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany

It is long known that findings in conventional anatomical imaging do not necessarily correlate with clinical symptoms in patients suffering from unilateral lumbosacral radicular syndrome (LRS), which regularly occurs in the context of disc herniation due to degeneration with unilateral nerve contact. The present study investigates the performance of quantitative imaging by using magnetic resonance neurography (MRN) using T2 mapping for LRS diagnostics at the lumbosacral plexus. As the main finding, it shows that nerves affected by degenerative disc herniation are characterized by elevated T2 values, in contrast to contralateral nerves or a non-affected control level.

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AREX (Apparent Exchange-Dependent Relaxation Rate) CEST MRI in the Spinal Cord at 3T:  Application to Multiple Sclerosis
Richard D Lawless1,2, Quinn Weinberg2, Haley Feiler2, Sam By3, Francesca Bagnato4, and Seth Smith1,2,5

1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 3Phillips Healthcare, Baltimore, MD, United States, 4Department of Neurology, Vanderbilt University, Nashville, TN, United States, 5Department of Radiology and Radiological Science, Vanderbilt University, Nashville, TN, United States

  In this study, we evaluated AREX(apparent exchange-dependent relaxation rate) in the human spinal cord in patients with MS.  Current clinical MRI is insensitive to biochemical changes which may precede inflammatory lesions in the spinal cord. Development of an MRI biomarker capable of detecting tissue changes prior to lesion formation would improve our diagnostic and prognostic capabilities. APT CEST is an MRI contrast approach sensitive to protein and peptide concentration and AREX removes magnetization transfer, T1-relaxation, and RF-spillover effects. Our results suggest that AREX is an improvement over alternative methods and may increase sensitivity to pathological changes in the spinal cord.

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Structural Assessment of Injured Spinal Cord Using the Spherical Mean Technique and Diffusion Tensor Imaging
Feng Wang1,2, Junzhong Xu1,2, Tung-Lin Wu1,3, Pai-Feng Yang1,2, Nellie E. Byun1, Li Min Chen1,2, and John C. Gore1,2,3

1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

High-resolution spherical mean technique (SMT) MRI may provide specific diffusion measures to detect and characterize structural connectivity before and after spinal cord injury and during repair. This study aims to systematically evaluate the SMT-derived diffusion parameters and compare them to conventional DTI-derived diffusion parameters in assessing injury-associated changes in spinal cords of squirrel monkeys. The main goal is to optimize a rapid and robust high-resolution SMT imaging protocol for spinal cord of monkeys at high field.  In addition, the sensitivity of SMT and DTI measures in detecting axonal damage in the dorsal pathway has been evaluated.

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Feasibility of magnetisation transfer ratio measurements in the proximal lumbar plexus using healthy volunteers at 3T
Marios C Yiannakas1, Torben Schneider2, Masami Yoneyama3, Ferran Prados1,4,5, Olga Ciccarelli1, and Claudia CAM Gandini Wheeler-Kingshott1,6,7

1Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Philips Healthcare, Surrey, United Kingdom, 3Philips Healthcare, Tokyo, Japan, 4Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5Universitat Oberta de Catalunya, Barcelona, Spain, 6Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy, 7Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy

Magnetic resonance neurography (MRN) has become a widely used non-invasive tool for assessing the lumbar plexus with application to inflammatory, neoplastic, metabolic and traumatic pathologic conditions. Given that the main pathological process involved in the majority of these neurological conditions results in the alteration of myelin content, this pilot study proposes and demonstrates in healthy controls the feasibility of using MRN to facilitate reliable measurements of magnetisation transfer ratio, a biophysically meaningful MR biomarker, which has been shown to be directly influenced by the amount of myelin in neural tissue.

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Simultaneous Voxel Based Analysis of Brain and Spinal Cord: Application to Spinal Cord Injury Patients
Michela Azzarito1, Claudia Blaiotta22, John Ashburner2, Yaël Balbastre2, Sreenath Pruthvi Kyathanahally1, Martina Callaghan2, Maryam Seif1, and Patrick Freund1,2,3,4

1Spinal Cord Injury Center Balgrist, University Hospital Zurich, University of Zurich, Zurich, Switzerland, Zürich, Switzerland, 2Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, UK, London, United Kingdom, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, Leipzig, Germany, 4Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, UK, London, United Kingdom

Assessing the sequelae of a focal CNS injury across the entire neuroaxis holds great potential to better understand the temporal and spatial distributed pathophysiological changes. Currently, voxel-based analysis is either performed at the level of the spinal cord or brain. As a result, most imaging studies fail to implement and analyse the interactions between remote areas across the CNS. In this study, a new probabilistic-atlas including brain and cervical spinal cord (SC) was used for the simultaneous, fully automated and multi-parametric analysis in SPM framework. This approach was validated by assessing trauma-induced changes in SCI patients and compared with findings from analytical tools assessing the brain and cord separately.

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Investigating microstructural correlates of neuropathic pain in spinal cord injury patients using source-based morphometry
Sreenath P Kyathanahally1, Michela Azzarito1, and Patrick Freund1

1Spinal cord injury center Balgrist, University of Zurich, Zurich, Switzerland

Spinal cord injury (SCI) triggers a cascade of neurodegenerative and compensatory changes across the neuroaxis. The majority of SCI patients develop neuropathic pain (NP) as a secondary complication. In this study, we applied source-based-morphometry to investigate remote microstructural changes sensitive to myelin and iron deposition in brain areas associated with pain processing and explored the associations of these microstructural changes with pain intensity.

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Tracking progressive neurodegenerative processes after spinal cord injury: 5-year follow-up
Sreenath P Kyathanahally1, Michela Azzarito1, Markus Hupp1, and Patrick Freund1

1Spinal cord injury center Balgrist, University of Zurich, Zurich, Switzerland

Spinal cord injury (SCI) triggers a cascade of neurodegenerative and compensatory changes across the neuroaxis. Rehabilitative training has been shown to improve clinical outcome following SCI. However, the spatial and temporal patterns of neurodegenerative processes follow a complicated trajectory over 2-years. Previous studies have already shown trauma-induced neurodegenerative processes and highlight the relationships amongst these in the cord and brain. Here, we investigate the trajectories of neurodegenerative changes that occur over a period of 5 years post-SCI.

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Assessing spinal cord structure changes using diffusion tensor imaging in patients with incomplete traumatic spinal cord injury
Bing Yao1,2, Hannah Ovadia1, Zhiguo Jiang1, Sarah Wood1, Gail Forrest3, and Steven Kirshblum4

1Rocco Ortenzio Neuroimaging Center, Kessler Foundation, West Orange, NJ, United States, 2Department of Physical Medicine and Rehabilitation, Rutgers University, Newark, NJ, United States, 3Human Performance Engineering Research, Kessler Foundation, West Orange, NJ, United States, 4Kessler Institute for Rehablitation, West Orange, NJ, United States

Physicians rely on self-reports to monitor and evaluate the functional outcome in patients with spinal cord injury during their rehabilitation. These clinical and outcome measurements can be subjective and sometimes impractical if patients have cognitive difficulty. Traditional clinical MRI scans can provide doctors more objective information but they are not sensitive to detect the progression or repair during patient’s recovery. In this study, we investigated the sensitivity of DTI technique in detecting SCI injury and its progression or recovery over the course of rehabilitation in the individuals with SCI.

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Diffusion Weighted MRI in Cervical Spine with Metal Hardware at 3T
Sampada Bhave1, Marjorie C Wang1, Matthew D Budde1, and Kevin M Koch1

1Medical College of Wisconsin, Milwaukee, WI, United States

Surgical repair of the cervical spinal cord to correct instability induced through trauma or degenerative disease often precludes follow-up MRI due to severe artifacts caused by metal stabilization hardware.  Postoperative imaging is essential to monitor the hardware positioning, disease progression and new complications that may occur after surgery. In this study, we investigate the imaging capabilities of the recently developed multi-spectral diffusion weighted PROPELLER technique within the spinal cord immediately adjacent to metallic instrumentation. In addition, we assess the quantitative stability of this approach relative to other conventional methods in cohort of normal controls.  

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Large field-of-view high resolution 3D imaging of the thoracolumbar nerve roots inside the spinal canal
Stefano Mandija1,2, Martijn Froeling1,2, Anja G. van der Kolk1,2, Fredy Visser3, Andreas Rowald4, Loan Nguyen-Mattera5, Roberto Martuzzi5, Jean-Baptiste Ledoux6, Fabio Becce6, Jocelyne Bloch6, Gregoire Courtine4,6, and Cornelis A.T. van den Berg1,2

1University Medical Center Utrecht, Utrecht, Netherlands, 2Utrecht University, Utrecht, Netherlands, 3Philips Healthcare, Best, Netherlands, 4Swiss Federal Institute of Technology, Lausanne, Swaziland, 5Fondation Campus Biotech Geneva, Geneva, Swaziland, 6University Hospital Lausanne, Lausanne, Swaziland

A 3D T2/T1-weighted balanced-SSFP sequence has been developed to visualize the nerve roots inside the thoracolumbar spinal canal and their exit point from the spinal cord for clinical 3T MRI systems and coil setups. This sequence allows acquisition of large field-of-view, high resolution (sub-millimeter), almost isotropic images in less than 5 minutes. Furthermore, it is fully balanced, thus allowing high SNR, and intrinsically flow compensated. Hence, CSF flow artifacts are avoided. The acquired volumes in 15 volunteers showed good contrast between CSF, spinal cord and nerve roots (negative contrast), which could allow adequate visualization of intra-spinal pathologies.

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Quantitative MRI investigation above a cervical myelopathy in traumatic and non-traumatic spinal cord injury
Maryam Seif1,2, Gergely David1, Eveline Huber 1, Patrick Grabher1, Markus Hupp1, Armin Curt1, and Patrick Freund1,2,3,4

1Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom, 4Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom

Traumatic Cervical Spinal Cord Injury (tSCI) and non-traumatic Cervical Spondylotic Myelopathy (CSM) present a focal damage to the cervical cord with different time profile. Myelin and axonal loss occurs in SCI and CSM; however, little is known how these neurodegenerative changes are comparable in both groups. Therefore, we applied T2*-weighted and DTI MRI at the cervical cord to compare macro/microstructural changes in CSM and tSCI. While the macrostructural changes were similar in both groups, DTI detected more microstructural changes in SCI. Time-dependent compensatory mechanism in CSM might account for less neurodegeneration and better clinical function compared to tSCI.

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Investigation of DTI parameters in the corticospinal tract: from cervical cord to motor cortex
Rebecca Sara Samson1, Jon Stutters1, Muhammad Ali Akbar2, Julien Cohen-Adad3,4, Armin Curt5, Michael Fehlings2,6, Patrick Freund5,7,8, Maryam Seif5, and Claudia Angela Gandini Wheeler-Kingshott1,9,10

1Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 2Institute of Medical Science, University of Toronto, Toronto, ON, Canada, 3NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 4Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada, 5Spinal Cord Injury Center Balgrist, University of Zurich, Zurich, Switzerland, 6Krembil Research Institute (Krembil), University Health Network, Toronto, ON, Canada, 7Department of Neurophysics, Wellcome Trust Centre for Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 8Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 9Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 10Brain MRI 3T Centre, IRCCS Mondino Foundation, Pavia, Italy

We have explored diffusion tensor imaging (DTI) metrics along the corticospinal tract (CST) from the cervical cord to the motor cortex, measured using separate whole brain and cervical cord DTI protocols in healthy subjects at two different sites. We have also explored sensitivity to disease in patients with cervical spondylotic myelopathy (CSM), and spinal cord injury (SCI). Several studies have looked either at brain or cervical cord separately, which makes it difficult to learn about possible interactions between brain and cord. Here, we combine brain and cord measurements and examine how the CST is affected in CSM and SCI.

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Simultaneous MR Neurography and T2 Mapping (SHINKEI Quant) for Quantitative Evaluation of Lumbar Nerve Roots in Patients with Low Back Pain.
Takayuki Sakai1,2, Masami Yoneyama3, Atsuya Watanabe4,5, Daichi Murayama1, Shigehiro Ochi1, and Tosiaki Miyati6

1Radiology, Eastern Chiba Medical Center, Chiba, Japan, 2Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan, 3Philips Japan, Tokyo, Japan, 4Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan, 5General Medical Services, Chiba University Graduate School of Medicine, Chiba, Japan, 6Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan

This study was to investigate the clinical utility of SHINKEI-Quant ( simultaneously acquire MR neurography and T2 mapping by further optimizing the improved motion-sensitized driven-equilibrium (iMSDE) preparation) for evaluation of lumbar nerve roots in patients with low back pain.

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Improvement of distortion-free diffusion tensor imaging for evaluation of lumbar nerve roots: Utility of direct coronal single-shot turbo spin-echo diffusion sequence with a split acquisition.
Takayuki Sakai1,2, Masami Yoneyama3, Atsuya Watanabe4,5, Daichi Murayama1, Shigehiro Ochi1, and Tosiaki Miyati6

1Radiology, Eastern Chiba Medical Center, Chiba, Japan, 2Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan, 3Philips Japan, Tokyo, Japan, 4Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan, 5General Medical Services, Chiba University Graduate School of Medicine, Chiba, Japan, 6Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan

This study was to investigate the availability of SPLICE-DTI (a split acquisition of fast spin-echo signals for diffusion imaging) with high spatial resolution for evaluation of lumbar nerve roots.

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Fully Automated Grading of Lumbar Disc Degeneration Using Two-stage Networks
Fei Gao1, Shui Liu2, Xiaodong Zhang2, Jue Zhang1,3, and Xiaoying Wang2,3

1College of Engineering, Peking University, Beijing, China, 2Department of Radiology, Peking University First Hospital, Beijing, China, 3Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

In this study, we developed a fully automated grading system for lumbar intervertebral disc degeneration with a two-stage network. The quantitative results suggest its efficiency and it can provide valuable tools for clinical diagnosis.

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Diagnosis value of Lumbar Spine using synthetic MRI: a comparative study with conventional MRI
Weilan Zhang1, Guoguang Fan1, Fei Bie2, and Bing Wu3

1Radiology Department of China Medical University First Hospital, Shenyang, China, 2GE Healthcare, MR Application China, Shenyang, China, 3GE Healthcare, MR Application China, Beijing, China

Synthetic MRI is an emerging technique that can produce multiple morphologic contrasts from a single sequence, as well as quantitative T1, T2 and proton density maps. It has been successfully used in the brain, but its role is less well established for MRI of the spine. We aimed to assess the effectiveness and feasibility of synthetic MRI of the lumbar spine by comparing the image quality and diagnostic ability.

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Relevance of spinal white matter suppressed T1 STIR beyond multiple sclerosis
Ullas V Acharya1, Rupesh Vakkachi Kandi2, Narayana Krishna Rolla3, Jitender Saini4, Brian Johnson5, and Jaladhar Neelavalli2

1Radiology, Manipal Hospital, Bengaluru, India, 2Philips Innovation Campus, Philips India Limited, Bengaluru, India, 3Philips India Limited, Gurgaon, India, 4Radiology, National Institute of Mental Health And Neurosciences, Bengaluru, India, 5Philips Healthcare, Dallas, TX, United States

Previous works have shown that white matter suppressed (WMS) T1 STIR imaging can provide better lesion contrast in spine in multiple sclerosis. In this work we have explored the relevance of this technique in non multiple sclerosis related spinal conditions. The results show that, in these conditions as well, T1 STIR provides better lesion conspicuity.

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Anthropomorphic Spinal Cord Phantom with Respiratory B0 Field Fluctuations
Alan C Seifert1,2,3, Daniel Villarroel4, Amrita Bedi4, Anuoluwapo Bolarinwa4, Joseph A Borrello1,2,3, and Junqian Xu1,2,3,5

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Biomedical Engineering, The City College of New York, New York, NY, United States, 5Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The spinal cord exists in an unfavorable magnetic field environment; the lungs produce strong B0 field inhomogeneities that vary over time. We have designed and built a phantom that simulates these temporal field distortions to aid in the development of spinal cord imaging methods.  The phantom consists of an acrylic tank, two lung simulants, a spinal cord and canal phantom, and a microcontroller-governed air pump. The respiratory waveform is customizable. This phantom accurately reproduced the ~20Hz respiratory-induced field shifts observed in vivo at the C3 vertebral level at 7T, and, being fully synthetic, is stable and replicable.

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High-resolution Brachial Plexus Imaging using 3-D Short Tau Inversion Recovery (CUBE-STIR) with IV Gadolinium for Vascular Suppression
Darryl B Sneag1, Jahnavi Curlin1, Jaemin Shin2, Maggie Fung2, Bin Lin3, and Steven P Daniels4

1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2GE Healthcare, New York, NY, United States, 3Healthcare Research Institute, Hospital for Special Surgery, New York, NY, United States, 4Weill Cornell Medical College, New York, NY, United States

Vascular suppression is critical to facilitate confident identification and pathologic changes of small caliber peripheral nerves, many of great clinical importance, that run alongside slow-flowing veins. In our experience, non-contrast flow suppression techniques are suboptimal for complete venous suppression. Previous studies describe the efficacy of intravenous gadolinium for vascular suppression and visualization of the plexus proper using a three-dimensional STIR pulse, but its use for visualizing small plexus branch nerves has not been reported. This study demonstrated that post-STIR imaging significantly improved vascular suppression and visualization of branch nerves compared to non-contrast techniques, with high inter- and intra-rater agreement.

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Examining Automatic Segmentation Results of Cervical Spinal Cord MRI in Tetraplegic Spinal Cord Injury
Patrik O Wyss1,2,3, Mihael Abramovic1, Alexander Fischer4, and Markus F Berger1

1Department of Radiology, Swiss Paraplegic Centre, Nottwil, Switzerland, 2Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland, 3Max-Planck Institute for Biological Cybernetics, Tuebingen, Germany, 4Philips GmbH Innovative Technologies, Aachen, Germany

Accurate detection and segmentation of spinal levels are of utmost importance in determining tissue changes in follow-up examinations of spinal cord injury patients. This preliminary study shows the results of automatic segmentation algorithms applied to data of tetraplegic patients.

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Super multi-directional DTI for lumbar nerve roots using MultiBans SENSE
Daichi Murayama1, Takayuki Sakai1,2, Masami Yoneyama3, and Shigehiro Ochi1

1Eastern Chiba Medical Center, Chiba, Japan, 2Graduate School of Medical Sciences, Kanazawa University, Ishikawa, Japan, 3Philips Japan, Tokyo, Japan

An increasing the number of MPG directions causes prolongation of scan time. Recently, MultiBand SENSE (MB-SENSE) has been developed to allow the simultaneous acquisition of multiple slices and it enabled to shorten the scan time. Our purpose in this study was to investigate whether super multi-directional DTI using MB-SENSE is more useful for evaluation of lumbar nerve disorders than conventional method. An increasing the number of MPG directions improved its continuity and accuracy in tractography and tended to decrease the standard deviation of FA values.


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T1, T2, and STIR-weighted spine MRI using spiral SE/TSE techniques
Zhiqiang Li1 and James G Pipe2

1Department of Neuroradiology, Barrow Neurological Institute, Phoenix, AZ, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States

Spine MRI constitutes a significant portion of neuro exams but is difficult in the clinical practice. The challenges include inhomogeneous field, motion and pulsation induced artifacts, long scan times, high SAR, etc. To overcome these drawbacks, in this work we explore the fast spiral sampling approach with SE and TSE sequences to provide rapid T1 and T2 weighted water-fat imaging, as well as STIR imaging. The feasibility is demonstrated with sagittal c-spine scans on volunteers.

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Measurement of peripheral nerve perfusion using FAIR PRESS
Ke Zhang1,2, Johann M.E. Jende2, Volker J. Sturm2, Lukas R. Buschle1, Artur Hahn2, Sabine Heiland2, Heinz-Peter Schlemmer1, Martin Bendszus2, Christian H. Ziener1, and Felix T. Kurz2

1Department of Radiology, German Cancer Research Center, Heidelberg, Germany, 2Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany

Peripheral neuropathy in diabetes is a common and poorly understood disease; previous methods to evaluate nerve-associated microvascular angiopathy are contrast-based and exclude patients with severe nephropathies or allergies to contrast agents. We adapt a combined a flow-sensitive alternating inversion recovery (FAIR)-sequence with a single-voxel readout such as Point RESolved Spectroscopy (PRESS) to measure peripheral nerve perfusion in healthy subjects and diabetes patients. Our preliminary results suggest that diabetes patients have a lower nerve/muscle perfusion ratio than non-diabetic subjects.


Brain Tumors: Post-Treatment

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

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pH-weighted amine CEST-EPI as a fast clinical imaging biomarker for early bevacizumab treatment response in recurrent GBM
Jingwen Yao1,2,3, Caleb Tan4, Ararat Chakhoyan1,3, Catalina Raymond1,3, Noriko Salamon3, Linda Liau5,6, Phioanh Nghiemphu7, Albert Lai6,7, Whitney Pope3, Timothy Cloughesy7, and Benjamin Ellingson1,2,3,6,8,9

1Brain Tumor Imaging Laboratory (BTIL), Center of Computer Vision and Imaging Biomarker, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 2Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 4Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, United States, 5Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 6UCLA Brain Research Institute (BRI), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 7Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 8Physics and Biology in Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 9Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

In the current study we used amine CEST-EPI, a pH-sensitive fast chemical exchange saturation transfer (CEST) technique, as a potential non-invasive imaging biomarker for treatment response in recurrent GBM patients treated with bevacizumab. Results suggest a significantly lower MTRasym at 3.0ppm in recurrent GBM tumors after bevacizumab treatment may be associated with better patient outcome (PFS), indicating that pH-weighted amine CEST MRI could serve as a potential non-invasive imaging biomarker for treatment response evaluation. The colocalization of recurrence tumor site and high MTRasym contrast post-treatment further suggest pH-weighted amine CEST may provide valuable information for early detection of tumor progression.

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Copula Transform Characterizing the Inter-dependence of Multi-parametric Magnetic Resonance Imaging for Glioblastoma Patients
Chao Li1,2,3, Shuo Wang3,4, Pan Liu3, Bart RJ van Dijken5, Carola-Bibiane Schönlieb3, and Stephen John Price1

1Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 2Department of Neurosurgery, Shanghai Jiao Tong University School of Medicine, Shanghai, United Kingdom, 3The Centre for Mathematical Imaging in Healthcare, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom, 4Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 5Radiology, Medical Imaging Center, University Medical Center Groningen, Groningen, Netherlands

The purpose of this study was to interrogate the inter-dependence of perfusion and diffusion imaging, and further investigate the clinical relevance of the inter-dependence of perfusion and diffusion, using a glioblastoma cohort containing 115 patients. A statistical method, the empirical copula transform, was applied obtain the joint distribution of perfusion and diffusion imaging, which was then discretized to extract second-order features for hierarchical patient clustering. Three patient subgroups were identified which showed significantly different overall survival and progression-free survival. The results showed that the inter-dependence between perfusion and diffusion imaging may be useful in stratifying patients and evaluating tumor invasiveness.

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Restriction Spectrum Imaging differentiates True Progression from Pseudoprogression in patients with high grade glioma following treatment with immunotherapy
Naeim Bahrami1, Shadi Daghighi1, William Tom1, Nikdokht Farid1, and Carrie McDonald1

1University of California, San Diego, San Diego, CA, United States

Immunotherapy is becoming more frequently used in patients with high grade glioma (HGG) following standard chemoradiation.  However, immune-mediated pseudoprogression (PsP) is a growing problem that remains poorly characterized and renders conventional imaging less useful.  We evaluate the ability of a novel, advanced diffusion model, restriction spectrum imaging (RSI) to differentiate PsP from TP following immunotherapy.  We demonstrate that an RSI-derived measure of axonal integrity (neurite density; ND) can differentiate TP from PsP, correctly classifying 73% of patients.  We conclude that lower RSI-ND reflects disruption of axonal microstructure and may provide an imaging marker of tumor infiltration in patients with TP.

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Eye-movements and white matter predict emotional control in children treated for brain tumors
Iska Moxon-Emre1,2,3, Michael D Taylor1,2, Adeoye Oyefiade 1,2, Eric Bouffet1,2, Suzanne Laughlin1,2, Jovanka Skocic 1, Cynthia B de Medeiros 1, and Donald J Mabbott1,2

1The Hospital for Sick Children, Toronto, ON, Canada, 2The University of Toronto, Toronto, ON, Canada, 3Pediatric Oncology Group of Ontario, Toronto, ON, Canada

Children who survive a brain tumor diagnosis often suffer from emotional difficulties that decrease their quality of life. We monitored eye-movements during the control of attention to emotional faces to measure emotion regulation. Brain tumor survivors had difficulty regulating their initial attention away from emotional faces, and those who exhibited poor emotion regulation displayed the least emotional control in daily life. White matter of the splenium of the corpus callosum predicted emotion regulation. Our findings may improve the identification of children at risk for poor functional outcomes, and suggest the splenium as a candidate neuroanatomic substrate of emotion regulation.

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Discriminate glioblastoma recurrence versus radionecrosis: consider cerebrovascular reactivity mapping
Marco Piccirelli1, Giovanni Muscas1, Christiaan Hendrik Bas van Niftrik1, Nicolaus Andratschke1, Michelle Leanne Brown1, Oliver Bozinov1, Luca Regli1, Christoph Stippich1, and Jorn Fierstra1

1University Hospital Zurich, Zurich, Switzerland

Exploiting the different vascular pathophysiology in brain glioblastomas compared to radionecrosis, we aim to improve the differential diagnosis of post-treatment contrast-enhancing lesions. To recognize recurrent glioblastoma after treatment, we investigate if relevant CVR differences exist between newly diagnosed brain glioblastomas and radionecrosis. For this purpose, we utilized blood oxygenation-level-dependent functional MRI (BOLD-fMRI) to study CVR.

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Assessment of early therapeutic response in glioblastoma using advanced DWI-MRI and histogram analysis
Shah Islam1, Melanie Morrison1, Anastasia Gontsarova2, Matthew Orton3, Matt Grech-Sollars4, Eric Aboagye4, and Adam Waldman5

1Brain Sciences, Imperial College London, London, United Kingdom, 2Neuroradiology, Imperial College Healthcare NHS Trust, London, United Kingdom, 3CRUK and EPSRC Cancer Imaging Centre, Institute of Cancer Research, Sutton, United Kingdom, 4Surgery and Cancer, Imperial College London, London, United Kingdom, 5Clinical Brain Sciences, University of Edinburgh, Edinurgh, United Kingdom

Glioblastoma is one of the most aggressive brain tumours, with a life expectancy of 12-15 months. Structural MRI lacks sensitivity for detecting early therapeutic response.  DWI is sensitive to changes in cellular density and provides a marker of cell kill.  There is little published data on which of the diffusion components detectable in diseased brain tissue in vivo is most sensitive to this. Voxel by voxel pre- and post-treatment analysis in ‘functional diffusion map’ studies are confounded by change in tumour size.  We assess the utility of a spatially-independent histogram approach to detect early treatment response using advanced DWI models.  

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MOLLI versus SMART1 mapping for quantitative brain tumor DCE MRI on a 3T GE 750w:  Initial experience
Greg O Cron1,2,3, Michael A Gulak4, Nicholas Majtenyi5, Ian G Cameron1,3,5, and Thanh B Nguyen1,3

1Medical Imaging, The Ottawa Hospital, Ottawa, ON, Canada, 2Ottawa Hospital Research Institute, Ottawa, ON, Canada, 3Radiology, University of Ottawa, Ottawa, ON, Canada, 4Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada, 5Physics, Carleton University, Ottawa, ON, Canada

In radiotherapy of high-grade gliomas, radiation changes (RC) are common.  RC and tumor recurrence (TR) may both demonstrate progressive Gd contrast enhancement on follow-up, rendering conventional MRI unhelpful.  DCE MRI, however, shows promise for distinguishing RC from TR.  We set up a new protocol for brain tumor DCE-MRI on a 3T GE 750w.  This protocol involved bookend T1 mapping performed with both MOLLI and SMART1.  We found that both T1 mapping sequences gave similar results.  Although patient numbers are low at this time, the technique appears promising for distinguishing radiation changes from tumor recurrence.

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Differentiating the treatment-related effect from tumor recurrence using amide proton transfer‐weighted (APTW) and pseudo-continuous arterial spin labeling (pcASL) MRI
Qihong Rui1, Dexia Kong1, Tianyu Zou1, Yingjie Mei2, Hao Yu1, Shanshan Jiang3, Xianlong Wang1, Jinyuan Zhou3, and Zhibo Wen1

1Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Division of MR Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Discriminating treatment-related effect from tumor recurrence with is critical for treatment decision-making. Amide proton transfer (APT) and pseudo-continuous arterial spin labeling (pcASL) are two non-invasive advanced magnetic resonance imaging (MRI) techniques. In this study we combined two techniques hoping to explore their diagnostic performance in differentiating treatment-related effect from tumor recurrence.

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Comparison of quantitative blood oxygenation imaging methods for the assessment of brain tumor oxygen consumption in native MRI.
Jan Sedlacik1, Julia Götz1, Patrick Borchert1, Divya Bolar2, Lasse Dührsen3, Nils Ole Schmidt3, Jan-Hendrik Buhk1, and Jens Fiehler1

1Neuroradiology, UKE, Hamburg, Germany, 2Radiology, UCSD, San Diego, CA, United States, 3Neurosurgery, UKE, Hamburg, Germany

The comparison of the blood oxygen extract fraction (OEF) of solid tumor regions between the QUantitative Imaging of eXtraction of Oxygen and TIssue Consumption (QUIXOTIC) and quantitative Blood Oxygenation Level Dependent (qBOLD) methods showed an opposite trend of qBOLD-OEF and QUIXOTIC-OEF between tumor and cortical GM. Further analysis suggests that QUIXOTIC-OEF may be compromised by the strong and long lasting magnetization of the increased interstitial water due to tumor edema and, therefore, no reliable parameter to assess tumor OEF. On the other hand, qBOLD-OEF may have correctly detected a higher OEF of solid tumor regions.

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Differentiation between glioma recurrence and treatment effects using DWI, ASL, proton MRS and amide proton transfer (APT) imaging at 3 Tesla
Jie Liu1, Yinsheng Chen2, Cong Li2, Xiaofei Lv3, Zhongping Chen2, Hairong Zheng1, and Yin Wu1

1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Neurosurgery, Cancer Center, Sun Yat-Sen University, Guangzhou, China, 3Department of Medical Imaging, Cancer Center, Sun Yat-Sen University, Guangzhou, China

Conventional MR structural imaging is insufficient for assessment of posttreatment gliomas and advanced imaging is needed to improve diagnostic certainty. The present study compared DWI, ASL, proton MRS and APT for distinction between glioma recurrence and treatment effects. Total 25 patients were enrolled. Results show similar diagnostic performance of APT and ASL, both of which could distinguish recurrent tumor from treatment lesion (P<0.05) with AUC greater than 0.8, superior to that of ADC and proton MRS. Herein, APT and ASL would facilitate posttreatment glioma diagnosis.

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Restricted ketogenic diet and fasting in combination with re-irradiation in glioblastoma impact intracellular pH and intracerebral metabolism
Katharina J. Wenger1, Elke Hattingen1, Joachim P. Steinbach2, Johannes Rieger2,3, Martin Voss2, and Ulrich Pilatus1

1Institute of Neuroradiology, University Hospital, Goethe-University Frankfurt, Frankfurt, Germany, 2Dr. Senckenberg Institute of Neurooncology, University Hospital, Goethe-University Frankfurt, Frankfurt, Germany, 3Institute of Neurooncology, University Hospital Tübingen, Tübingen, Germany

Inhibition of glycolysis by decreasing blood glucoses levels and increasing ketone bodies (KB) could force tumor cells to shift their metabolism towards potentially impaired mitochondria. The aim of this study was to explore the combination of six days of calorie restricted ketogenic diet (crKD) and three days of fasting (as a possible radiosensitizer) with a re-irradiation therapy in patients with recurrent glioblastoma. Intracerebral concentrations of KB as well as pHi and ATP were non-invasively monitored using MR-Spectroscopy. We were able to show evidence of intratumoral acetone using 1H-MRS in some patients with malignant glioma at day 6 of crKD/fasting. Changes in pHi and ATP during crKD/fasting will remain subject to preclinical studies.

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Diagnostic accuracy of serial 99mTc MDM (bis-Methionine-DTPA) SPECT imaging in differentiation of glioma recurrence from radiation Necrosis: A comparative study with Dynamic Susceptibility Contrast-Enhanced (DSCE)-MRI and  Magnetic Resonance Spectroscopy (MRS)
Nisha Rani1, Prof Baljinder Singh1, Dr Naredra Kumar2, Dr Paramjeet Singh3, Dr Anil Kumar Mishra4, and Dr Puja Hazari4

1Nuclear medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 2Radiotherapy, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 3Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 4Division of Cyclotron and Radiopharmaceutical Sciences, INMAS DRDO, Delhi, India

The use of complimentary imaging modalities in the glioma management of individual patients can provide additional information for further treatment strategy.  In view of the limitations of anatomical imaging, cumbersome radio labeling procedures of PET tracers with amino-acids, in the present study, we have performed multimodality imaging using 99mTc-methionine SPECT (as cost effective substitute for expensive amino acid PET imaging), perfusion MRI and MRS for the the differentiation of radiation necrosis from recurrent/residual glioma by the means of serial imaging. 

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Parameters From Dynamic Contrast-Enhanced Magnetic Resonance Imaging Are Biomarkers Predicting Response after Radiotherapy to Brain Metastases
Peng Wang1, Zhuo Shi1, Lizhi Xie2, Yuqing Shang3, XinMing Zhao1, and Han Ou-Yang1

1Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2GE Healthcare, China, Beijing, China, 3Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, United States

Dynamic contrast-enhanced (DCE) MRI provides additional information regarding blood-brain barrier integrity, and Ktrans is directly proportional to the level of permeability of the blood-brain barrier. In our study, we demonstrated that SRS of cerebral metastasis was associated with a decrease of Ktrans values in the early post-treatment period. DCE-MRI derived parameters can be a promising imaging biomarker of tumor aggressiveness.

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Detection of Tumor Progression in Patients with Glioblastoma using Multiparametric MRI
Sumei Wang1, Sanjeev Chawla1, Tianyu Yin1, Chakri Madla1, Ruyun Jin2, MacLean P Nasrallah3, Arati Desai4, Steven Brem5, Ronald Wolf1, Suyash Mohan1, and Harish Poptani6

1Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 2Medical Data Research Center, Providence Health & Services, Portland, OR, United States, 3Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 4Hematology-Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 5Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 6Cellular and Molecular Physiology, University of Liverpool, Liverpool, United Kingdom

The study was performed to determine whether progression probabilities (PP) from DTI and DSC parameters can aid in differentiating glioblastomas with true-progression (TP) from pseudo-progression (PsP). MRI data from thirty-nine patients were included. All patients underwent at least two MR scans before pathological confirmation. TP patients tended to have high baseline PP values compared with PsP patients. An increase of PP of more than 25% at follow-up scans was noted in 12/15 TP patients, whereas stable or decreased PP were observed in 21/24 PsP patients. These results indicate that monitoring changes in PP values may aid in identifying TP.

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Crossover intraindividual comparison of ionic and non-ionic macrocyclic gadollinium based contrast media in orthotopic glioblastoma model: Pathologic correlation of dynamic contrast enhancement characteristics at 9.4T MRI
Chi-Hoon Choi1, Kyung Sik Yi1, Janggeun Cho2, Chulhyun Lee3, and Sang-Hoon Cha1,2

1Radiology, Chungbuk University Hospital, Cheongju-si, Korea, Republic of, 2Radiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju-si, Korea, Republic of, 3Division of Magnetic Resonance Research, Korea Basic Science Institute, Cheongju-si, Korea, Republic of

The DCE parameters including Ktrans and Ve have been used to assess glioblastoma treatment responses reflecting tumor cellularity and tumor vasculature. We hypothesized that the enhancement pattern of the ionic macrocyclic contrast agent used in glioblastoma DCE study, which interacts with the negative charge on the surface of the tumor cell, was different from that of the nonionic one. We demonstrated it with prospective DCE experiments using the orthotopic glioblastoma models as well as Ktrans and Ve from ionic were more correlated with tumor pathology than nonionic. These findings may aid clinical choice of GBCA in DCE-MRI study.

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Noninvasive IDH1 genotype prediction in grade Ⅱ/Ⅲ  gliomas based on conventional MR images: a transfer learning strategy
Jin Zhang1, Lin-Feng Yan1, Yang Yang1, Bo Hu1, Ping Chen1, Wen Wang1, and Guang-Bin Cui1

1Department of Radiology, Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Xi’an, China

Purpose: To evaluate the performance of transfer learning with CNNs in predicting IDH1 genotype. Method and Materials: AlexNet, GoogLeNet, ResNet and VGGNet were pre-trained on the large scale natural image database (ImageNet) and fine-tuned with T1CE and FLAIR images. The outputs of training set were utilized to train LR and SVM models. Besides, fused images combining FLAIR and T1CE were used to fine-tune pre-trained ImageNet models. Results: Performances were improved by fine-tuning the four architectures with fused images. Conclusion: Transfer learning with various CNNs (especially VGGNet) is powerful in predicting IDH1 genotype in grade Ⅱ/Ⅲ gliomas.

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Amide Proton Transfer-Weighted (APTw) MRI as a Marker for Risk Stratification of Overall Survival in Patients with Lower Grade Gliomas
Shanshan Jiang1, Qihong Rui2, Hao Yu2, Tianyu Zou2, Zhengyang Zhu3, Fangyao Chen4, Hye-Young Heo1, Peter van Zijl1, Zhibo Wen2, and Jinyuan Zhou1

1Johns Hopkins University, Baltimore, MD, United States, 2Zhujiang Hospital,Southern Medical University, guangzhou, MD, United States, 3Whiting School of Engineering, Baltimore, MD, United States, 4Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China

We explored the possibility of using the APTw signal intensity as a noninvasive imaging marker for stratifying the risk of overall survival (OS) in patients with lower grade gliomas. 108 patients with newly diagnosed grade-II/III gliomas were included. APTw histogram data were recorded. Routine MRI based descriptors, clinical parameters, and OS were collected. According to the multiple Cox regression models, higher APTw value and IDH-wildtype together showed significant predictive power for shorter OS in the cohort of patients with lower grade gliomas. APTw MRI has potential for preoperative MRI evaluation of lower grade gliomas in terms of predicting patient outcomes.

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Grading meningiomas using mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging
Lin Lin1,2, Yunjing Xue2, Qing Duan2, Xiaodan Chen3, Zhongshuai Zhang4, Daoying Geng1, and Jun Zhang1

1Radiology, Fudan Huashan Hospital, Shanghai, China, 2Fujian Medical University Union Hospital, Fuzhou, China, 3Radiology, Fujian Cancer Hospital&Fujian Medical University Cancer Hospital, Fuzhou, China, 4MR scientific marketing, Siemens Healthcare, Shanghai, China

Accurate grading is crucial to determine therapeutic strategies and to evaluate the prognosis, but no specific feature of conventional MRI has been found to be reliable in predicting the grade of the tumor. This study prospectively evaluated and compared the potential of various diffusion metrics obtained from mono-exponential model (MEM), bi-exponential model (BEM) and stretched exponential model (SEM)-based diffusion-weighted imaging (DWI) in the grading of meningiomas. It was found that different models of DWI (MEM, BEM, and SEM) are useful in the differentiation between high-grade and low-grade meningiomas. However, D obtained from BEM is the most promising diffusion parameter for predicting the grade of meningiomas.

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Volume of anisotropic diffusion abnormality as prognostic imaging marker in treated glioblastoma patients
Bart Roelf Jan van Dijken1, Chao Li2,3, Peter Jan van Laar1, Shuo Wang4,5, Stephen J Price2, and Anouk van der Hoorn1,2

1Radiology, Medical Imaging Center (MIC), University Medical Center Groningen, University of Groningen, Groningen, Netherlands, 2Brain Tumour Imaging Group, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s hospital, University of Cambridge, Cambridge, United Kingdom, Cambridge, United Kingdom, 3Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, China, Shanghai, China, 4Department of Radiology, University of Cambridge, Cambridge, UK, Cambridge, United Kingdom, 5The Centre for Mathematical Imaging in Healthcare, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom

The purpose of this study was to investigate the prognostic value of anisotropic diffusion abnormality in 30 treated glioblastoma patients. Diffusion tensor imaging was performed after chemoradiotherapy and volumes of diffusion abnormalities were extracted. Our results showed that a larger volume of high anisotropic abnormality was associated with worsened patient survival. Anisotropic diffusion can therefore potentially be employed as a prognostic imaging marker in longitudinal management of glioblastoma patients. 

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Percentile-based Analysis of Non-Gaussian Diffusion Parameters for Improved Glioma Grading
Christopher Y. Zhou1, Jiaxuan Zhang2,3, Wenzhen Zhu3, Zheng Zhong2,4, and Muge Karaman2,4

1Naperville North High School, Naperville, IL, United States, 2Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 4Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

Diffusion MRI has been used for tumor grading due to its sensitivity to alterations at the tissue microstructural level. Recognizing the limitations of analysis methods based on region-of-interest (ROI) in which the parameter values are averaged over the tumor ROIs, histogram-based approaches have been proposed for differentiating tumor grades. One challenge in this approach is to determine an optimal percentile over the ROI to be used in the analysis. In this study, we systematically and statistically determined an optimal percentile cut-off for calculating the mean parameters obtained from a non-Gaussian diffusion model based on continuous-time random-walk (CTRW) theory for differentiation among glioma grades. 

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Application of half-dose contrast-enhanced T2-fluid-attenuated inversion recovery (FLAIR) sequence in brain metastasis
Teng Jin1, Zhenwei Yao1, Jianxun Qu2, and Yong Zhang3

1Huashan Hospital, Fudan University, Shanghai, China, 2GE Healthcare, Shanghai, China, 3GE Healthcare,Shanghai,China, Shanghai, China

The treatment for brain metastasis are mainly depended on the number, size and location of lesions, to evaluate the number of brain metastatic lesions sensitively with contrast enhanced series is more important for patient treatment. The aim of this study was to assess the efficiency of half-dose contrast enhanced T2FLAIR used in the detection of intracranial metastases in comparison to full-dose enhanced T1-weighted imaging. 

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The Value of Intravoxel Incoherent Motion Imaging in Predicting the Survival of Patients with Astrocytoma
Lina Zhu1, Jiang Wu1, Hui Zhang2, Heng Niu1, Le Wang2, and Kaiyu Wang3

1Shanxi Cardiovascular Hospital, Taiyuan, China, 2the First Hospital of Shanxi Medical University, Taiyuan, China, 3GE Healthcare, MR Research, Beijing, China

In this study, two independent sample t-tests was used to evaluate the predictive value of IVIM parameters for the two-year survival rate of 60 patients with astrocytoma, and the correlation between IVIM parameters and survival days was analyzed by Pearson correlation. The results showed that the ADC, D*, f value of IVIM parameters had great potential in predicting the two-year survival rate of astrocytoma patients, which was related to survival days.

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Amide proton transfer (APT) MRI is a predictor of survival and progression in high-grade glioma patients
Daniel Paech1, Constantin Dreher1, Sebastian Regnery1, Jan-Eric Meissner2, Steffen Goerke2, Johannes Windschuh2, Katerina Deike-Hofmann1, Sebastian Bickelhaupt1, Alexander Radbruch3, Moritz Zaiss4, Andreas Unterberg5, Wolfgang Wick6, Martin Bendszus7, Peter Bachert2, Mark Edward Ladd2, and Heinz-Peter Schlemmer1

1Radiology, German Cancer Research Center, Heidelberg, Germany, 2Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 3Radiology, University Hospital Essen, Essen, Germany, 4Max-Planck-Institut Tuebingen, Tuebingen, Germany, 5Neurosurgery, University of Heidelberg, Heidelberg, Germany, 6Neurology, University of Heidelberg, Heidelberg, Germany, 7Neuroradiology, University of Heidelberg, Heidelberg, Germany

In this work we show that relaxation-compensated amide proton transfer (APT) imaging at 7.0 T is associated with overall survival and progression-free survival in newly-diagnosed, previously untreated glioma patients. The current study showed that glioma patients with increased APT values were more likely to progress sooner and live shorter, respectively. This effect may be caused by strong alterations of amino acid concentrations and global upregulation of protein expression in more aggressive brain tumors. Therefore, APT CEST imaging may help to enhance the prognostic value of non-invasive MRI tools at the time of initial diagnosis and during follow-up.

2920
Computer 99
Voxel-based Analyses of SUVs and ADCs with a 18FDG-PET/MR System in Differentiating CNS Lymphomas from Glioblastomas
Daichi Momosaka1, Akio Hiwatashi2, Koji Sagiyama1, Osamu Togao1, Kazufumi Kikuchi1, Tomohiro Nakayama2, Keisuke Ishimatsu1, Ryotaro Kamei1, Shingo Baba1, and Hiroshi Honda1

1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

Using a hybrid PET/MR system that enables precise image co-registration of 18FDG-PET and DWI, we evaluate the utility of voxel-based analysis of SUVs and ADCs to differentiate CNS lymphomas from GBs. Fifteen GBs and five CNS lymphomas were enrolled. DWI and 18FDG-PET were acquired. Volume, SUVmax, ADCmin, correlation coefficient, elliptical 95% area of bivariate normal distribution of SUVs and ADCs and elliptical 95% area/volume were evaluated. Elliptical 95% area/volume in CNS lymphomas was higher than that of GBs and showed the best diagnostic performance. Voxel-based analysis of 18FDG-PET/MR may be useful to differentiate CNS lymphomas from GBs.


2921
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Towards quantitative characterization of brain tumors using synthetic MRI: a preliminary study with pathological confirmation
Hui-ming LIU1, Tie-bao MENG1, Hao-qiang HE1, Liangru Ke1, Long Qian2, Bing Wu2, Guo-ping Yin3, and Chuan-miao XIE1

1Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 2GE Healthcare, MR Research China, Beijing, China, 3GE Healthcare, MR Application China, Beijing, China

MRI is widely involved for the diagnosis of brain tumors, and offers qualitative assessment of the tumor with regard to the surrounding brain tissues. However, not only visual inspections may introduce subjective bias, there may be cases that pose challenges for diagnosis even with the use of contrast agent. In this work, a novel relaxation quantification approach named synthetic MRI was applied to 40 patients with glioma or meningioma. Our data showed that both T1 and T2 values of glioma were significant higher than that of meningioma. indicating that synthetic MR may be used for classifying different types of brain tumors.


Neurovascular 2

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

2922
Computer 101
Reduced Cerebral Blood Flow in Aging Adults with Down Syndrome: An Arterial Spin Labeling Study
Scott William Thalman1,2, Ai-Ling Lin1,3,4, Alex Helman5, Stacey L Brothers6, Kathryn O'Connor4, Nathan Johnson7, Anders Andersen8,9, Katie McCarty4, Mary Roberta Davis4, Gregory Jicha4,10, Allison Caban-Holt4,11, William Robertson10,12, Donita Lightner10, David Powell9,13, Elizabeth Head3,4, and Frederick Schmitt10,11,14

1F. Joseph Halcomb III, MD Department of Biomedical Engineering, University of Kentucky, Lexington, KY, United States, 2MD/PhD Program, University of Kentucky, Lexington, KY, United States, 3Pharmacology & Nutritional Sciences, University of Kentucky, Lexington, KY, United States, 4Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States, 5Molecular & Cellular Biochemistry, University of Kentucky, Lexington, KY, United States, 6Pharmaceutical Sciences, University of Kentucky, Lexington, KY, United States, 7Health Sciences - Rehabilitation Science, University of Kentucky, Lexington, KY, United States, 8MAgnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, United States, 9Neuroscience, University of Kentucky, Lexington, KY, United States, 10Neurology, University of Kentucky, Lexington, KY, United States, 11Behavioral Science, University of Kentucky, Lexington, KY, United States, 12Pediatric Neurology, University of Kentucky, Lexington, KY, United States, 13Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, United States, 14Psychiatry, University of Kentucky, Lexington, KY, United States

Adults with Down syndrome (DS) represent an important model of Alzheimer disease in the absence of cerebrovascular disease (CVD) risk factors like atheroma and hypertension. In this study we used pulsed arterial spin labeling (PASL) to measure cerebral blood flow (CBF) in aging adults with DS and age-matched controls. In adults with DS there is a 31% reduction in CBF after the age of 54 (<54= 46.7mL/100g/min, >54= 32.3mL/100g/min, p=0.011). Despite their CVD protective phenotype, adults with DS do develop vascular dysfunction, however the onset is concurrent with dementia rather than preceding it.

2923
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A Dedicated Framework for Intracranial Vessel Wall Imaging: Optimized 3D Dark-blood Imaging and Automated Post-processing
Patrick Vogel1, Ute Ludwig2, Esther Raithel3, Stephan Meckel4, Jürgen Hennig2, Thorsten A. Bley1, and Axel J. Krafft2

1Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 2Radiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 3Siemens Healthineers, Erlangen, Germany, 4Neuroradiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Freiburg, Germany

MRI has been demonstrated as an indispensable imaging modality in the context of vasculitis – an inflammation of the arterial vessel wall. However, the extent of involvement of intracranial vessels is still part of on-going research. Depiction of intracranial vessels could be achieved with intracranial vessel wall imaging (VWI), which is, however, challenging because of the need for high-resolution within acceptable scan times. Further, the visual assessment of intracranial mural changes is also difficult because of the tortuous vessel course. Our work describes a framework for intracranial VWI with an optimized, compressed-sensing-accelerated sequence prototype and dedicated VWI post-processing.

2924
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Structural connectivity alterations in CSVD patients with mild cognitive impairment: an atlas-based DTI structural connectome study
Guiling Zhang1, Yuanyuan Qin1, and Wenzhen Zhu1

1Department of Radiology, Tongji Hospital, Tongji medical college, Huazhong University of science and techology, Wuhan, China

Cerebral small vessel disease(CSVD) is the most common cause of vascular cognitive impairment. Early diagnosis and intervention could prevent patients from progressing to dementia rapidly. DTI deterministic tractography and structural network analysis based on graph theory were utilized to explore the difference of structural connectome between CSVD patients and normal individuals. The results demonstrated the disruption of structural connection at global level and reduction of network efficiency at nodal level. Especially, the decrease of nodal efficiency in the right cuneus gyrus was associated with the mild memory loss in CSVD patients. Our results may provide crucial clues to therapeutic interventions.

2925
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The Acute Effects of Cigarette Smoking on Brain Oxygenation and Perfusion Measured by Multi-Parametric Quantitative BOLD and Arterial Spin Labeling MRI: Preliminary Results
Sebastian Thomas1,2, Simon Hubertus1,2, Ioanna Skampardoni1, Natalie Hartig2, Sabine Vollstaedt-Klein*2, and Lothar R. Schad*1

1Computer Assisted Clincial Medicine, Heidelberg University, Mannheim, Germany, 2Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany

The effects of smoking on human brain hemodynamics have been investigated for many years, but no real consensus was found. In this study, the acute effects of cigarette smoking on the cerebral blood flow, oxygen extraction fraction and cerebral metabolic rate of oxygen are measured with a multi-parametric quantitative BOLD approach. So far, no significant difference between pre- and post-smoking was found. However, the number of subjects will be increased from 5 to 20 in the course of this ongoing study.

2926
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Is cerebral blood flow affected by preventable neurovascular risk factors and physical fitness level?
Lisa A van der Kleij1, Nina L. Højland Reislev2, Christian S. Eriksen3,4, Hartwig R. Siebner2, Carl-Johan Boraxbekk2, Erik L. Mortensen4,5, Jeroen Hendrikse1, Michael Kjaer3,4, Esben T Petersen2, and Ellen Garde2,4,5

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 3Department of Orthopedic Surgery M, Institute of Sports Medicine Copenhagen, Bispebjerg and Frederiksberg University Hospitals, Copenhagen, Denmark, 4Centre for Healthy Aging, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark, 5Department of Public Health, Copenhagen University, Copenhagen, Denmark

The health-related effects of aging (biological age) are highly variable across individuals with a similar chronological age. In this study we investigate the relationship between neurovascular health, physical fitness and mean gray matter cerebral blood flow (CBF) in a cohort of 300 home-dwelling volunteers between 62 and 70 years old. In these population-based elderly participants we found that preventable risk factors for neurovascular disease are associated with cerebral blood flow. A high mean arterial pressure, high cholesterol and low creatinine were associated with a decreased gray matter perfusion, whereas physical fitness was not.

2927
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Algorithm for automated lesion segmentation in patients with familial Cerebral Cavernous Malformations(CCM)
Sivakami Avadiappan1, Marc Mabray2, Blaine L Hart2, Melanie A Morrison1, Angela Jakary1, Leslie Morrison3, Atif Zafar3, Helen Kim4,5, and Janine M Lupo1

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Radiology, University of New Mexico, Albuquerque, NM, United States, 3Department of Neurology, University of New Mexico, Albuquerque, NM, United States, 4Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States, 5Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States

Cerebral cavernous malformations (CCMs) are collections of small blood vessels in the brain that are enlarged and irregular in structure and have clinical manifestations that include seizures and hemorrhage. In this work, we developed and evaluated an automated algorithm for counting and quantifying different sized CCM lesions on SWI images. The total lesion burden increased with overall symptom score in baseline scans from 50 patients. Large lesion burden increased at follow-up in 16/17 cases. Our automated algorithm is a consistent method for counting microbleeds and accurate volume estimation and can thus facilitate lesion burden calculation and tracking in CCM patients.

2928
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Multiple overlapping slab 4D-flow imaging using distributed-spiral acquisition with magnetization transfer (MT) preparation for inflow signal enhancement and simultaneous 3D time-of-flight (3D-TOF) angiogram
Dahan Kim1,2, Leonardo Rivera-rivera2, Patrick Turski3, and Kevin M Johnson2,3

1Department of Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 3Department of Radiology, University of Wisconsin - Madison, Madison, WI, United States

Quantification of 4D-flow MRI relies on signal magnitude and phase of blood but can be affected by high signal intensities from surrounding tissues. By acquiring imaging volume in multiple overlapping slabs, together with MT preparation further to saturate tissue, 3D-TOF inflow enhancement can be used to improve vessel signal in the 4D-flow magnitude image. The scan-time penalty associated with acquiring multiple slabs was avoided by accelerating the scan with undersampled distributed-spiral acquisition. The proposed method greatly increased vessel contrast and improved depiction of blood vessels, which for 4D-flow MRI translate to more reliable flow quantification and vessel segmentations.

2929
Computer 108
Measuring cerebrovascular reactivity without gas challenge: a real-time phase-contrast MRI approach
Jingran Zhu1, Dengrong Jiang1, Michael Schär1, Dirk Voit2, Jens Frahm2, Paul Bottomley1, Hanzhang Lu1, and Peiying Liu1

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Biomedizinische NMR, MPI fuer Biophysikalische Chemie, Goettingen, Germany

Cerebrovascular reactivity (CVR) is typically measured from changes in cerebral perfusion responsive to a hypercapnic gas challenge. Recent attempts to measure CVR using resting-state BOLD fMRI without gas challenge have utilized spontaneous fluctuations in breathing patterns. Since BOLD signal is an indirect measure of cerebral perfusion, a technique that enables cerebral blood flow (CBF)-based CVR under free-breathing conditions is highly desirable. Here, we used a real-time (17 fr/s) PC MRI to measure CBF-based CVR in the resting-state. We evaluated the feasibility of this new approach, and compared it with real-time PC MRI with gas-inhalation, and regular PC MRI with gas-inhalation.

2930
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3D Morphological Measurement of Basilar Artery and Its Relationship with CBF Based on TOF-MRA Data in Elders
Zhangyan Yang1,2,3, Heng Zhang4, Zhentao Zuo1,2,3, Xian Xu4, and Ningyu An4

1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China, 4Department of Radiology, Chinese PLA General Hospital, Beijing, China, Beijing, China

Morphological features of vascular have a major impact on blood flow and chronic diseases. A 3D semi-automatic vessel geometric feature extraction algorithm was developed in this study, and applied to basilar artery (BA). The relationship among BA morphological parameters can be explained by hemodynamic and flow mechanism. The geometry of BA affected the cerebral blood flow value was demonstrated in this study. This algorithm will save us a lot of efforts for analyzing large dataset, and help clinical doctors to quantify the vessel morphometry rapidly.

2931
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Linearity assessment of the BOLD signal in response to controlled hypercapnea in healthy controls
David Mikulis1, Julien Poublanc2, and Adrian + Laura Crawley1

1Medical Imaging, The University Health Network, Toronto, ON, Canada, 2Julien Poublanc, The UNnversity Health Network, Toronto, ON, Canada

This study addresses concerns over the degree to which the relationship between the cerebral BOLD MRI signal and a CO2 flow stimulus is non-linear. The issue was tested using a quantitative BOLD stimulus in a large population of healthy controls. The results indicate that linear modelling of the response compared to the sigmoid model underestimated the response by ≈ 10%. This would indicate that linear modelling of the BOLD is a reasonable surrogate for flow measurement in subjects undergoing cerebrovascular reactivity testing.

2932
Computer 111
Parallel Imaging Hadamard Encoded pCASL with Efficient Use of Proton Density Weighted Image
Naoyuki Takei1, Shota Ishida2, Yuki Matta2, R Marc Lebel3, Hirohiko Kimura4, and Hiroyuki Kabasawa1

1MR Applications and Workflow, GE Healthcare, Tokyo, Japan, 2Radiological Center, University of Fukui Hospital, Fukui, Japan, 3MR Application & Workflow, GE Healthcare, Calgary, AL, Canada, 4Department of Radiology, University of Fukui, Fukui, Japan

A different method of parallel imaging acceleration extracting coil sensitivity maps necessary for using CG SENSE from a proton density weighted image was proposed. Single and multiple post labeling delay (PLD) scan were accelerated while maintaining image quality. The proposed technique is expected to achieve both the robustness of CBF quantification and short imaging time that can be applied clinically. 

2933
Computer 112
Inaccurate Visualisation of Haemorrhagic Markers in Cerebral Amyloid Angiopathy in Susceptibility Weighted Imaging can be Overcome Using Susceptibility Mapping
Barbara Dymerska1, Gargi Banerjee2, Emma Dixon1, Emma Biondetti1, Anna Barnes3, Jonathan Schott4, Nick Fox4, Rolf Jager5, Karin Shmueli1, David Werring2, and David L. Thomas2,6

1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Institute of Nuclear Medicine, University College London, London, United Kingdom, 4Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 6Leonard Wolfson Experimental Neurology Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom

Cerebral amyloid angiopathy is a small vessel disease characterised by imaging signatures including cerebral microbleeds and cortical superficial siderosis. We show here that non-local phase effects affecting Susceptibility Weighted Imaging (SWI) cause broadening and/or duplication of microbleeds, as well as deformation of superficial siderosis. Furthermore, susceptibility maps and “true SWI”, where local susceptibility values are used, facilitate more accurate microbleed size estimation, reduce the risk of microbleed miscount and provide better delineation of superficial siderosis. Therefore, susceptibility maps and true SWI are likely to be more accurate than SWI in identifying and grading these haemorrhagic markers, with potential clinical relevance.

2934
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Cerebral Metabolic Rate of Oxygen (CMRO2) during transition from wakefulness to sleep measured by high temporal resolution OxFlow MRI with concurrent EEG recording
Alessandra Caporale1, Hyunyeol Lee1, Hengyi Rao2, Hui Lei2, John A Detre3, Michael C Langham1, Pei-Hsin Wu1, and Felix W Wehrli1

1Radiology, Laboratory for Structural, Physiologic and Functional Imaging, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, United States, 2Center for Functional Neuroimaging & Division of Sleep and Chronobiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, United States, 3Neurology, Perelman School of Medicine, University of Pennsylvania Health System, Philadelphia, PA, United States

Reduced synaptic transmissions during states of reduced consciousness cause a slowdown in the cerebral metabolic rate of oxygen (CMRO2) and glucose utilization. Prior methods based on PET and tracer kinetics involving repeated blood sampling are not practical in a clinical setting. Here we used whole-brain MR oximetry at 3-second temporal resolution with simultaneous EEG recording to evaluate the feasibility of in-scanner monitoring of brain oxygen metabolism during wakefulness and sleep. The results in three subjects show reduction in CMRO2 up to 15% following onset of sleep paralleling increased delta wave EEG activity and reduction in heart rate.

2935
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Investigation of Whole Brain Coverage 4D-MR Angiography with Pseudo-Continuous Arterial Spin Labeling Combined with CENTRA-Keyhole and View-sharing (4D-PACK) Accelerated by Compressed-SENSE
Makoto Obara1, Osamu Togao2, Hiroo Murazaki3, Tatsuhiro Wada3, Msami Yoneyama1, Masanobu Nakamura1, Yuta Akamine1, Yu Ueda1, and Marc Van Cauteren4

1Philips Japan, Ltd., Tokyo, Japan, 2Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Kyushu University, Fukuoka, Japan, 3Division of Radiology, Department of Medical Technology, Kyushu University, Fukuoka, Japan, 4Asia Pacific, Philips Healthcare, Tokyo, Japan

Four dimensional (4D) MR Angiography based on Pseudo-Continuous Arterial Spin Labeling (pCASL) combined with CENTRA-Keyhole and View-sharing (4D-PACK) was accelerated for whole brain 4D-MRA. Compressed-Sensing combined with Sensitivity Encoding (Compressed-SENSE) was used and we demonstrated whole brain 4D-PACK accelerated with Compressed-SENSE. It provides comparable peripheral and posterior cerebral artery visualizations compared with conventional 4D-PACK which has limited anatomical coverage. Validity of whole brain 4D-MRA is suggested using Compressed-SENSE combined 4D-PACK.

2936
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Skin blood flow functions as a potential proxy for cerebral blood flow in adults with sickle cell disease
Brijesh Kumar Yadav1,2, Nicolas Currier3, Gersham Dent3, Paul S Swerdlow4, Indryas Woldie4, Muhammad Shahid4, Sean K Sethi5, Wenting Wang3, Kiarash Ghassaban5, Willem Birkhoff6, Jacobus Burggraaf6, Jaspert de Vries6, Jaladhar Neelavalli2, William E. Hobbs7, E Mark Haacke1,2, and Ajay Verma8

1Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, 2Department of Radiology, Wayne State University, Detroit, MI, United States, 3Biogen Inc., Cambridge, MA, United States, 4Department of Hematology-Oncology, Wayne State University, Detroit, MI, United States, 5MR Innovations, Detroit, MI, United States, 6Centre for Human Drug Research, Leiden, Netherlands, 7Bioverativ, a Sanofi company, Waltham, MA, United States, 8United Neuroscience, Hauppauge, NY, United States

Even though the prevalence of stroke in adults with sickle cell disease (SCD) is higher compared to children, no accepted screening measures are available for identifying adults with SCD at high risk for strokes. Despite cerebral blood flow (CBF) from transcranial Doppler being an established surrogate measure of stroke risk in children, it is not feasible in adults and MRI is uneconomical and inefficient for screening. We examined skin blood flow using laser speckle contrast imaging as a peripheral surrogate of CBF using MRI. Skin blood flow was highly correlated with CBF in sickle cell patients with excellent test-retest reliability. 

2937
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Relationship between morphology and hemodynamics of intracranial aneurysms: A preliminary study
Miaoqi Zhang1, Yunduo Li1, Fei Peng2, Aihua Liu2, Rui Li1, and Chun Yuan1,3

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 3Department of Radiology, University of Washington, Seattle, WA, United States

In this study, the purpose was to investigate the relationship between morphology and hemodynamics of IA. Flowavg-APA and Flowmax-IA was positive correlated with IA size and was negatively correlated with mWT. Flowavg-APA was positive correlated with IA size when excluding mWT dependence. And no indices were correlated with mWT when excluding IA size dependence. As blood flows into IA, the volume of aneurysm is enlarged, resulting in the reduction of WT. IA size correlated stronger with blood flow than mWT. This study suggests that mWT and hemodynamics may provide additional information other than size, thus improve current IA risk standard.

2938
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Dilatation, Proliferation, and Abnormal Anastomosis of Lenticulostriate Arteries on Whole-Brain Vessel Wall Imaging as a Predictor of Hemorrhage in Patients with Moyamoya Disease
Fang Wu1, Cong Han2, Zhiwen Liu2, Debiao Li3, Zhaoyang Fan3, and Qi Yang1

1Xuanwu Hospital, Capital Medical University, Beijing, China, 2307 Hospital of Chinese People's Liberation Army, Beijing, China, 3Cedars Sinai Medical Center, Los Angeles, CA, United States

In this study, we explored distinct branching pattern of lenticulostriate arteries (LSAs) in moyamoya disease (MMD) and identified collateral features of hemorrhagic MMD, using whole-brain vessel wall imaging (WB-VWI). Results showed that patients with MMD more frequently presented with dilated and proliferated LSA branches than patients with atherosclerotic moyamoya syndrome. In patients with MMD, type 3 LSA pattern (dilatation and proliferation of LSA branches with abnormal anastomosis) was associated with hemorrhagic events and vanished middle cerebral artery. These findings suggest that WB-VWI can provide complementary information of abnormal moyamoya vessels and facilitate to predict hemorrhage in MMD.

2939
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Quantitative Multi-Parametric Mapping reveals specific white-matter tissue changes in Sickle Cell Disease
Hanne Stotesbury1, Sara Lorio1, Fenella J. Kirkham 2, Melanie Koelbel1, Sati Sahota1, Dawn Saunders3, Chris A Clark1, and Jamie M Kawadler1

1Developmental Nerosciences, UCL Great Ormond St Institute of Child Health, London, United Kingdom, 2Clinical Nerosciences, UCL Great Ormond St Institute of Child Health, London, United Kingdom, 3Great Ormond Street Hospital, London, United Kingdom

Diffusion studies have revealed loss of white-matter integrity in sickle cell disease (SCD), but the underlying pathophysiology is poorly understood. We combined diffusion tensor imaging with multi-parametric mapping in 23 patients and 23 controls to examine more specific imaging markers of myelin, iron, and water content. Voxel-based region of interest analyses revealed a pattern of decreased MT, R1, FA, and AD, and increased RD and MD in patients, consistent with lower myelination. Indices of lower myelination were associated with oxygen desaturation and processing speed. Our results offer insight into pathology of SCD brain changes and potential biomarkers for future trials. 

2940
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Alteration of cerebrovascular response for COPD patients underwent non-invasive nerve stimulation treatment in nasal cavity
Li Tieqiang1, Jan-Erik Juto1, Karin Sandek2, and Daniel Alamidi3

1Department of Medical Radiation and Nuclear Medicine, Karolinska university Hospital, Huddinge, Sweden, 2Capio S:t Göran, Stockholm, Sweden, 3The Royal Insititute of Technlogy, Huddinge, Sweden

Chronic obstructive pulmonary disease  (COPD) is currently the third leading mortality cause in the world. There is neither a reliable blood biomarkers to confirm its diagnosis nor curative treatment. In this study we tested the hypothesis that the lung function and cerebrovascular responsiveness for COPD patients may be altered by a novel therapy through restoration of ANS homeostasis along with the improvement of clinical symptoms.

2941
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Plaque Characteristics Contribute to Misery Perfusion in Patients with Symptomatic Middle Cerebral Artery Stenosis: A Study of Combined Perfusion MR and High-Resolution Vessel Wall Imaging
Song Liu1,2, Ruowei Tang1,2, Weiwei Xie1,2, Shengting Chai1,2, Wen Shen2, and Shuang Xia2

1Radiology Department, First Clinical College,Tianjin Medical University, Tianjin, China, 2Radiology Department, Tianjin First Central Hospital, Tianjin, China

High-resolution vessel wall imaging(HR-VWI) is an novel technique used to assess intracranial artery stenosis, and it has been useful in clinical practice. In addition, time-to-maximum (Tmax) maps, derived from PWI, are increasingly being used in studies of ischemic stroke, and can provide more prominent cerebral hemodynamic information. Our study aimed to investigate the plaque characteristics in middle cerebral artery (MCA) between patients with and without hypoperfusion area, and to identify the risk factors affecting hypoperfusion area.

2942
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Assessment of obstructive sleep apnea on cerebrovascular health in children with obesity using MRI
Akshdeep Singh Bhatia1, Tanvi Naik2, Indra Narang2, and Andrea Kassner2,3

1University of Toronto, Toronto, ON, Canada, 2Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 3Medical Imaging, University of Toronto, Toronto, ON, Canada

Obstructive sleep apnea (OSA) is a significant contributor to co-morbid disease in obese children. Cerebral endothelial dysfunction and neurocognitive deficits have been linked to obesity-related OSA. However, the effect of the chronic hypoxic environment caused by untreated OSA on cerebrovascular health in the pediatric population remains unclear. Cerebrovascular reactivity (CVR) measured with BOLD MRI in response to a CO2 stimulus is a useful tool in the clinical assessment of cerebrovascular disease. This study seeks to understand the effect of OSA on the cerebrovascular health in obese pediatric patients through MRI assessment. 

2943
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Clinical validation of synthetic MRI in assessing composition of Carotid Atherosclerotic plaques: initial experience
Fei Bie1, Lihe Cui2, Guoguang Fan2, Bing Wu3, and Lizhi Xie4

1MR Application China, GE Healthcare, Shen Yang, China, 2Radiology Department of China Medical University First Hospital, Shenyang, China, 3GE Healthcare, MR Application China, Beijing, China, 4GE Healthcare China, Beijing, China

The current study aims to determine the accuracy of synthetic MRI sequences generated from post-acquisition processing of a single sequence compared with sequences imaged from conventional multi-contrast Weighted (MCW) methods in assessing the composition of Carotid artery plaques like calcification and intraplaque hemorrhage (IPH). It was concluded that synthetic MRI sequences are comparable to conventional MCW methods.

2944
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Quantitative characterization of the carotid atherosclerotic plaque composition using synthetic MRI: a preliminary study with histological confirmation
Lihe Cui1, Fei Bie2, Guoguang Fan3, and Bing Wu4

1Radiology Department of China Medical University First Hospital, Shen Yang, China, 2GE Healthcare, MR Application China, Shenyang, China, 3Radiology Department of China Medical University First Hospital, Shenyang, China, 4GE Healthcare, MR Application China, Beijing, China

The current study aims to quantify the extent of different composition in carotid artery plaques like intraplaque hemorrhage (IPH) and calcification by Quantitative MR imaging measurements derived from Synthetic MRI technique. We found different components have different distribution range at the value of T1 mapping, T2 mapping and PD mapping. It was concluded that quantitative mapping of synthetic MRI could quantify the extent of different plaque compositions.

2945
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Evaluating of intracranial artery dissection using 3D-SNAP high resolution magnetic resonance:the prospective study
Min Tang1, Jinglong Gao1, Xin Zhang1, Jie Gao1, Xiaoling Zhang1, Xiaohong Wu1, and Zhizheng Zhuo2

1Shaanxi Provincial People`s Hospital, xi`an, China, 2Clinical science, Philips Healthcare China, Beijin, China

The characteristics of intracranial artery dissection were firstly observed using three dimensional simultaneous non-contrast angiography and intra plaque hemorrhage (3D-SNAP) high-resolution magnetic resonance imaging, including intramural hematoma, double lumen and intimal flap. 43 patients were enrolled. The discovery rate of intramural hematoma, false lumen thrombosis were significantly higher in the intracranial artery dissection by 3D-SNAP than other MRI sequences. The discovery rate of double lumen and intimal flap using 3D-SNAP were minor superior to CE-T1WI sequences. The diagnosis efficiency of 3D-SNAP sequences was only lower CE-T1WI, it was the highest diagnostic efficacy in combination with 3D-SNAP and CE-T1WI sequences. Therefore, the application of 3D-SNAP would rise diagnosis rate of intracranial artery dissection, and it may become the first-line screening technology to evaluate the risk factors of stroke caused for intracranial artery dissection.

2946
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Incidence of enlarged perivascular spaces six-months after aneurysmal subarachnoid hemorrhage: a retrospective MR study
Nivedita Agarwal1,2, Ardalan Zolnourian3, Ian Galea4, Roxana O Carare5, and Diederik Bulters6

1Radiology, Santa Maria del Carmine Hospital, Rovereto, Italy, 2Center for Mind/Sciences, CIMeC, Rovereto, Italy, 3Neurosurgery, University of Southampton, Southampton, United Kingdom, 4Clinical neurosciences, University of Southampton, Southampton, United Kingdom, 5Neuropathology, Faculty of medicine, Southampton, United Kingdom, 6Neurosurgery, University Hospital Southampton, Southampton, United Kingdom

One of the major complications of subarachnoid hemorrhage (SAH) is vasospasm which could last days. This could affect the clearance of interstitial fluid (ISF) from the brain parenchyma by restricting its movement along the intramural periarterial drainage (IPAD) pathway. This would result in dilated perivascular spaces (PVS) which have been shown to be an MR biomarker of failure of IPAD. We explore the hypothesis that patients with hemorrhage will present with an increased prevalence of PVS at six months.


Head & Neck

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

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Preliminary Results of 31P Magnetic Resonance Spectroscopy for Human Submandibular and Parotid Glands
Toshiyuki Sato1, Hiroyoshi Isoda1, Shigeki Arizono1, Akihiro Furuta1, Hironori Shimizu1, Seiya Kawahara1, Rinpei Imamine1, Tsuyoshi Ohno1, and Kaori Togashi1

1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan

We previously performed 31P MRS of the human parotid gland, but no such study of the submandibular gland has yet been reported. The present work was designed to evaluate the potential of 31P MRS, using 3D CSI, to simultaneously measure the phosphorus metabolites of human submandibular and parotid glands. Three healthy volunteers were examined before and after oral intake of vitamin C. Corresponding spectra revealed intense adenosine triphosphate (ATP) and phosphocreatine peaks. Following vitamin C intake, β-ATP decreased in both glands. This preliminary finding indicates that 31P MRS could provide unique information on the bioenergetics of submandibular and parotid glands.

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Investigation of arterial blood T1 measurements using cardiac-triggered acquisitions in a pulsatile flow phantom
Koen P.A. Baas1, Qinwei Zhang1, Eva S Peper1, Gustav J Strijkers2, and Aart J Nederveen1

1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Biomedical Engineering & Physics, Amsterdam UMC, Amsterdam, Netherlands

We used a pulsatile flow phantom setup to investigate the method by Li et al. (2017)3 to measure arterial blood T1. We found that under different flow conditions the addition of cardiac triggering led to changes in the estimated T1 values. T1 values found in the flowing fluid matched the reference value measured in a no flow condition using a low flip-angle inversion recovery sequence, validating the correctness of our setup.

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MRI characteristics of papillary thyroid carcinoma for the prediction of cervical lymph node metastasis
Hao Wang1

1Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China

Cervical lymph node metastasis is a known prognostic factor in PTC. However, the greatest controversy hampering the routine application of prophylactic central neck dissection is the increased risk of complications in thyroidectomy. In this study, we sought to investigate MRI features for predicting cervical lymph node metastasis in papillary thyroid carcinoma. This study revealed a prediction model built from thyroid contour protrusion sign and poorly tumor margin in contrast enhanced imaging constituted an effective tool for predicting PTC with cervical LNM, which was not reported in previous studies. Meanwhile, age and tumor size could be helpful to distinguish between node-negative and node-positive papillary thyroid cancers.

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CAIPIRINHA-accelerated 3D constructive interference in the steady state MRI of trigeminal nerve: performance evaluation on image quality at 3.0T
Xiao-qing Sun1, Qiong Zhang2, Xiao-yue Zhou3, Qing-lei Shi4, and Wei Wang1

1China-Japan Union Hospital of Jilin University, Changchun, China, 2Siemens Shenzhen Magnetic Resonance Ltd, Shanghai, China, 3MR Collaboration, Siemens Healthcare Ltd, Shanghai, China, 4MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China

This study aimed to compare controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) accelerated 3D constructive interference in the steady state (3D-CISS) with conventional CISS, whether image quality can be achieved under the condition of shortening scanning time,we evaluated imaging quality of the trigeminal nerve in 14 healthy subjects,no significant differences of SNR and CNR were found between the two sequences, in other words, CAIPIRINHA- accelerated 3D CISS can improve scanning efficiency without affecting image quality. 

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Preliminary study on MRI arterial spin labeling and multi-b value DWI identifying the nature of retropharyngeal lymph nodes in nasopharyngeal carcinoma
Meng Lin1, Xiaoduo Yu1, Xue Liu1, Lizhi Xie2, Han Ou-Yang1, and Denghong Luo1

1Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2GE Healthcare, China, Beijing, China

This study using two non-invasive technique as multi-b value DWI and ASL, aimed to compare those derived parameters of metastatic RLNs from NPC patients and non-metastatic retropharyngeal lymph nodes (RLNs) from NPC patients and healthy volunteers, thus to evaluate the diagnostic value of those two series on metastatic RLNs of NPC. It was concluded that the BF, ADC and D could reflect the difference of perfusion and diffusion between metastasis and non-metastasis RLNs, especially the BF which had significant difference. Therefore, ASL and multi-b DWI would be a useful supplement method to conventional diameter criterion to determine the N stage of NPC.

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The application of Synthetic MRI in differentiation of metastatic and reactive lymph nodes in patients with nasopharyngeal carcinoma: a preliminary study
Liangru Ke1, Tie-bao MENG1, Hui-ming LIU1, Long Qian2, Bing Wu2, Hui Li1, Yun He1, Hao-qiang HE1, and Chuan-miao XIE1

1Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 2GE Healthcare, MR Research China, Beijing, China

Metastases of nasopharyngeal carcinoma (NPC) in lymph nodes is not uncommon at initial diagnosis, thus the differentiation of the metastatic and reactive lymph nodes is important in accurate staging and precise administration for patients. In current study, a novel MRI quantification method named synthetic MRI was applied to estimate the relaxation values of 71 and 57 metastatic and lymph nodes in 40 patients with NPC, respectively. Our results showed that the relaxation values of lymph nodes were significant different between metastatic and reactive lesions. Moreover, the ration of T1/T2 showed encouraging diagnosis efficiency in differentiation of those two lymph nodes.

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The influence of different MRI scan plane on radiomic features of the Nasopharyngeal Carcinoma
Sulan Wei1, Qian Yang1, Tianran Li1, Miaoru Zhang1, Haiyan Pan1, Long Qian2, Shuangfeng Dai3, and Dehong Luo1

1Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, shen zhen, China, 2GE Healthcare, bei jing, China, 3Huiying Medical Technology Co, bei jing, China

It is known that radiomics has drawn more attentions in radiological research, and has been applied to evaluate the prognosis of nasopharyngeal carcinoma (NPC). However, the influence of different MRI scan plane on the radiomic features of NPC has not been investigated. To address this issue, in current study, contrast-enhanced T1 weighted images (T1WI_C) in axial, coronal and sagittal views with and without axial T2 weighted images were applied to build the radiomics-based models for the prognosis of NPC. Our results showed that radiomics features derived from axial view of T1WI_C had the best performance for the prognosis prediction of NPC.

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Histogram analysis based on apparent diffusion coefficient maps in differential diagnosis of nasopharyngeal non-Hodgkin lymphoma and nasopharyngeal carcinoma.
Keran Ma1, Jingliang Cheng1, Xiaonan Zhang1, and Chengru Song1

1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

This study aimed to investigate the diagnostic value of the histogram analysis derived from apparent diffusion coefficient (ADC) maps in the differential diagnosis of nasopharyngeal carcinoma (NPC) and nasopharyngeal lymphoma (NPL).Compared with conventional MRI, histogram analysis parameters particularly for 90%ADC and 99%ADC can be used to show the distribution of different intensity signals in the tumor, extract the heterogeneity characteristics of the tumor, understand the tissue density and metabolism inside the lesion, and calculate all the voxels of the whole tumor volume. The results of histogram analysis are more objective, and have a certain advantage compared with the traditional ADC average measurement.

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The differentiation between sinonasal natural killer/T-cell lymphomas and diffuse large B-cell lymphomas by high resolution DWI combined with conventional MRI
Mengge He1, Zuohua Tang1, zebin xiao1, Linying Guo1, and Zhongshuai Zhang2

1EENT Hospital of Fudan University, Shanghai, China, 2SIEMENS Healthcare, Diagnostic Imaging, Shanghai, China

Previous studies already reported that RESOLVE DWI can significantly reduce the susceptibility induced image distortion artifacts [1; 2; 3]. This study used RESOLVE DWI and conventional MRI to differentiate sinonasal natural killer/T-cell lymphomas from diffuse large B-cell lymphomas.

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Prediction of Postlaminar Optic Nerve Invasion in Retinoblastoma with MR Imaging Features
Zhenzhen Li1, Jian Guo1, and Junfang Xian1

1Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, Beijing, China

Postlaminar optic nerve invasion (PLONI) is a poor prognostic indicator in retinoblastoma. However, it is not easy for both ophthalmologists and radiologists to detect it. Can the combination of conventional MR imaging findings predict PLONI ? This research devoted evidence for this question.


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QUANTIFICATION OF HETEROGENEITY TO CLASSIFY BENIGN PAROTID TUMORS
Francesca Patella1, Mario Sansone2, Giuseppe Franceschelli3, Roberta Fusco4, Mario Petrillo3, Filippo Pesapane1, and Gianpaolo Carrafiello1

1Postgraduation School of Radiodiagnostic of Milan, Università degli Studi di Milano, Milan, Italy, 2Department of Electrical Engineering and Information Technologies, University "Federico II" of Naples, Napoli, Italy, 3Ospedale San Paolo, Milano, Lombardia, Italia, Italy, 4Roberta Fusco, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Napoli, Italy

Warthin tumors (WT) and pleomorphic adenomas (PA) are the most frequent parotid lesions. Despite they are both benign tumors, they are associated with different risk of recurrence and malignant degeneration, which entails diverse management.Benign parotid surgery is challenging since it requires isolation and preservation of the facial nerve, whilst completely removing the tumor.A correct preoperative planning including differential diagnosis, is therefore needed to avoid unnecessary or inadequate surgery.

In this study we use functional perfusion and diffusion MR biomarkers and we quantify their heterogeneity by a histogram analysis in order to classify WT and PA.


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Direct visualization the extracranial segments of the hypoglossal nerve on Enhanced 3D-SPACE-STIR sequence
Cuifang Chen1, Yukun Song1, and Haiwei Han1

1Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China

In our research, we compared enhanced and non-enhanced 3D-SPACE-STIR sequence in displaying the extracranial segments of the hypoglossal nerve. The SIR and CR of the nerve were higher on enhanced 3D-SPACE-STIR MR imaging than non-enhanced imaging (3.09±0.53 vs. 2.60±0.78 and 0.45±0.07 vs. 0.43±0.10, respectively, p<0.05). Enhanced 3D-SPACE-STIR sequence demostrates better background suppression than non-enhanced. The extracranial segments of the hypoglossal nerve (extracranial-carotid space and extracranial-anterior segments) can be traced continuously on non-enhanced 3D-SPACE-STIR sequence.

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Feasibility of brachial plexus DWI with high acceleration rate using multiband SENSE at 1.5 T
Jiazheng Wang1, Yajing Zhang2, and Yishi Wang1

1Philips Healthcare Greater China, Beijing, China, 2Philips Healthcare, Suzhou, China

Diffusion weighted imaging (DWI) for brachial plexus can provide valuable information for clinical practice, and the accelerated imaging techniques have been extensively evaluated. This study aims to demonstrate the DWI with high acceleration rate on brachial plexus using a multiband SENSE technique at 1.5T system.

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Diagnostic Image Quality and Time reduction Using Compressed SENSE with 3D NerveVIEW for MR Neurography
Brian Johnson1,2, Ivan E. Dimitrov1,3, Sandeep Ganji1,3, Sergey Cheshkov3, and Avneesh Chhabra2

1Philips Healthcare, Gainesville, FL, United States, 2Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States

Magnetic resonance imaging of nerves, also known as MR neurography (MRN) is an emerging technique used to assess peripheral neuropathies.  3D NerveVIEW is a heavily T2-weighted 3D acquisition that has been developed to address common challenges when scanning brachial and lumbosacral plexuses.  However, 3D NerveVIEW suffers from long acquisition times. Therefore, in this study we acquired 3D NerveVIEW with compressed SENSE to accelerate scan times and assessed images for motion and pulsation artefacts, nerve signal-to-noise ratio, contrast-to-noise ratio, and nerve signal-to-fat signal ratio. 3D NerveVIEW with compressed SENSE leads to significant time savings without significant changes in image quality.     

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Magnetic resonance Propeller technique in reducing signal loss artifacts in sinus
zhang yu1, zha yun fei1, LIU Chang sheng1, and yang ren jie1

1Renmin Hospital of Wuhan University, Wuhan, China

To discuss the clinical application of MR Propeller technique in eliminating the signal loss artifacts of sinus images. 30 cases were performed routine sinus MR examination, underwent Propeller T2 weighted imaging (WI), and the images were compared with IDEAL T2WI sequence. The two image sets were evaluated for overall image quality, signal-to-noise rate(SNR)and contrast-to-noise rate(CNR),respectively. The signal loss artifacts were significantly reduced by Propeller T2WI scanning, and the SNR and CNR, image quality were significantly improved. Propeller T2WI technique can obviously reduce the signal loss artifacts by magnetic-susceptibility, and can significantly improve the image quality for clinical diagnosis 

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Isointense Clot Sign as a Predictor of Complete Recanalization in Patients with Cerebral Venous Sinus Thrombosis
Xiaoxu Yang1, Fang Wu1, Qi Yang1, Yuehong Liu1, Jiangang Duan2, Ran Meng3, Jian Chen4, Debiao Li5, Zhaoyang Fan5, Fisher Marc6, and Xunming Ji3

1Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, 2Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China, 3Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, 4Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China, 5Radiology, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, 6Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Malaysia

This study aims to investigate the association of thrombus characteristics with complete recanalization in cerebral venous sinus thrombosis (CVST) patients undergoing endovascular treatment using Magnetic Resonance Black-blood Thrombus Imaging (MRBTI). There was more detection of isointense clot sign (ICS) in complete recanalization group than partial recanalization group. Logistic regression analysis showed that ICS was associated with complete recanalization, which means ICS on MRBTI can be a predictor of complete recanalization in CVST patients having endovascular treatment. So, we think that MRBTI will improve efficacy of endovascular therapy and help eliminate adverse outcomes.

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Changes in Cerebellar and Brainstem Tissue Motion in Chiari Malformation Type I Patients Following Posterior Fossa Decompression Surgery
Maggie Eppelheimer1, Soroush Heidari Pahlavian2, Rouzbeh Amini1, Francis Loth1, Daniel Barrow3, and John Oshinski4

1Conquer Chiari Research Center, Department of Biomedical Engineering, The University of Akron, Akron, OH, United States, 2Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3Department of Neurosurgery, Emory University, Atlanta, GA, United States, 4Department of Radiology & Imaging Sciences and Biomedical Engineering, Emory University, Atlanta, GA, United States

Chiari type I malformation (CMI) patients have altered brain morphology and tissue motion compared to healthy controls.  This motion may be the underlying cause of Chiari symptoms, such as occipital headaches. Highly symptomatic patients may be treated with posterior fossa decompression (PFD) surgery to restore cerebrospinal fluid flow and relieve brainstem compression. To quantitatively assess changes in brain tissue motion before and after surgery, we examined brainstem and cerebellar tissue displacement before and after surgery in 10 patients using spiral cine DENSE MRI. We found that tissue displacement in these structures in CMI patients is significantly reduced by PFD surgery.

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An investigation of the spatial FOV fold-over oversampling effects in the phase signal of flow-encoding cerebral 2D Cine PC-MRI: an application in phantom and volunteers.
Malek I MAKKI1, Caroline Fournez1, Garance Arbeaumont Trocme1, and Serge Metanbou2

1MRI Research GIE-FF, CHU Amiens Picardie, Amiens, France, 2Pole Imagerie, CHU Amiens Picardie, Amiens, France

Acquiring high spatial resolution cine phase contrast MRI to quantify the blood flow (arteries or veins) and the cerebrospinal fluid flow (aqueduct or cervical) is challenging. The need for large number of voxels in such small section area is required to accurately quantify the flows measurements. Reduced FOV with fold-over suppression instead of spatial pre-saturation slab is an alternative to such application. The purpose of this study is to investigate the effect of oversampling option in the VNR and both the blood and CSF flow velocities measurements ex-vivo and in-vivo.

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The Use of PC Cine MRI for the Evaluation of Treatment Efficacy of ETV in Patients with Obstructive Hydrocephalus
Deying Wen1, Xiaoyue Zhou2, and Jiayu Sun1

1Radiology Department, West China Hospital, Sichuan, China, Cheng du, Sichuan, China, China, 2MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, Shanghai, China, China

Phase contrast cine MRI technology can help us understand the pathogenesis of diseases impacting the cerebral ventricular system by quantitatively analyzing intracranial flow of blood and cerebrospinal fluid and can provide a basis for research on new clinical treatments on these diseases. In this study, the non-invasive phase contrast cine MRI technique was used to quantitatively analyze the circulatory dynamics of cerebrospinal fluid and cerebral blood flow in patients with obstructive hydrocephalus. Early postoperative prognosis indicators were determined by comparing patients with healthy controls and by comparing pre- and post-operative results within the patient group. 

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The value of DWI in the pre-treatment prediction of progression in Nasopharyngeal Carcinoma based on MRI radiomics
Miaoru Zhang1, Sulan Wei1, Tianran Li1, Haiyan Pan1, Qian Yang1, Long Qian2, Shuangfeng Dai3, and Dehong Luo1

1Department of Diagnostic Radiology, Cancer Hospital, Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China, 2GE Healthcare, MR Research China, Beijing, China, 3Huiying Medical Technology Co., Ltd., Beijing, China

Radiomics provides a new evaluation method for the prognosis of nasopharyngeal carcinoma (NPC) by extracting high throughput of quantitative descriptors from routinely acquired medical images. However, the research of the prognosis prediction of NPC based on radiomics derived from DWI images hasn’t been reported yet. The present study explores the value of DWI images in the pretreatment predictive of NPC with radiomics methods. By comparing the performance of three classifiers and different MRI sequences, we found that combined DWI and T2W showed optimal pretreatment predictive performance of NPC.

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Cine imaging using water (saline) bolus for investigating swallowing problems (dysphagia) in Parkinson’s Disease
Sunita Gudwani1, Prabhakar Upadhyay2, Kamlesh Sharma3, Rajesh Sagar4, Rajinder K Dhamija5, and S. Senthil Kumaran1

1Department of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department ENT, Lady Harding Medical College, New Delhi, India, 3Department Physiology, ESI Dental College, New Delhi, India, 4Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India, 5Department of Neurology, Lady Harding Medical College, New Delhi, India

Swallowing a basic oromotor function for survival, investigated with videofluoroscopy (VFS) and flexible endoscopic evaluation (FEES) have limitations either of ionizing radiation, soft-tissue details or of invasiveness. Further clinical examination is challenged with cognitive impairment in degenerative diseases, so non-invasive technique is required for appropriate management. Cine magnetic resonance imaging (dynamic MRI, dMRI) and T2 weighting visualize saline water hyperintensity signal for tissue-bolus contrast without any gadolinium agent. This pilot study reveals dMRI as sensitive non-invasive technique for measuring all the four phases. In motor degenerative diseases like Parkinson’s Disease aids detecting early signs of dysphagia for optimal intervention.

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Inefficient cranial venous outflow in patients with Meniere’s disease
Nivedita Agarwal1,2, Christian Contarino3, Giuseppenicolò Frau4, and Eleuterio Toro5

1Radiology, Santa Maria del Carmine, Rovereto, Italy, 2Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy, 3Computational Life Inc., Delaware, DE, United States, 4Otorhinolaryngology, Dr, Rovereto, Italy, 5DICAM, Laboratory of Applied Mathematics, University of Trento, Trento, Italy

Meniere’s disease (MD) patients  have a high incidence of abnormal neck venous vessels. This results in hampered cerebral venous outflow, disturbed intracranial dynamics, hampered CFS reabsorption, increased venous pressure and intracranial pressure (ICP), disturbed inner ear circulation and possibly disturbed perilymphatic and endolymphatics fluid spaces. Such disturbed intracranial dynamics may help explain endolymphatic hydrops and underlying mechanisms in MD. In this study we performed magnetic resonance venography (MRV) and phase contrast MRI (PC-MRI) in patients with MD to study the anatomy of the extracranial venous vessels and flow in various cranial compartments.


Novel Neuroimaging Methods

Exhibition Hall
Tuesday 14:30 - 15:30
 Neuro

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Automatic Brain Tissue Detection using Rapid 3D Quantification of R1 and R2 Rates and Proton Density
Marcel Warntjes1,2, Ida Blystad1,3, Peter Lundberg1,4, and Anders Tisell1,4

1CMIV, Linköping, Sweden, 2SyntheticMR AB, Linköping, Sweden, 3Department of Medical and Health Sciences, Radiology, Linköping, Sweden, 4Radiation Physics, Linköping, Sweden

Absolute quantification of R1 and R2 relaxation rates and proton density PD has been gaining considerable attention in recent years. Quantification provides an absolute scaling of patient properties that is independent of MR scanner settings or imperfections. Simultaneous quantification of R1, R2 and PD has mostly been restricted to 2D acquisitions methods, with relatively thick slices. A novel rapid 3D quantification method provides the maps at 1.2 mm isotropic resolution in 6 minutes scan time. The method was validated against a more established 2D method to measure white matter, grey matter, CSF and myelin volumes in the brain

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Comparison of AIR Coil Technology to Conventional Head Coils for Neuro Imaging
Petrice M Cogswell1, Joshua D Trzasko1, Norbert G Campeau1, Erin M Gray1, Phillip J Rossman1, Daehun Kang1, Matt A Bernstein1, Kiaran P McGee1, Fraser JL Robb2, Robert S Stormont3, Scott A Lindsay3, and John Huston III1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Healthcare, Aurora, OH, United States, 3GE Healthcare, Waukesha, WI, United States

A 16-channel head coil using novel Adaptive Image Receive (AIR)  technology was compared to 8-channel and 32-channel head coils on the Compact 3T system in nine healthy subjects using MPRAGE, FLAIR, GRE, and T2 FSE pulse sequences. Two neuroradiologists graded the AIR coil against the 8-channel and 32-channel coils on signal-to-noise ratio, gray-white matter contrast, lesion depiction, artifact, and overall image quality. On average the AIR coil performed similar to the 8-channel head coil, though not as well as the 32-channel coil. This study demonstrates feasibility of AIR coil technology for imaging of the brain and denotes areas on which future coil designs may improve.

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A Single-Compartment Perfusion Phantom for ASL-MRI
Marianna Gabrielyan1, Christopher Higgins2, Paulo E. Arratia2, John A. Detre1,3, and M. Dylan Tisdall3

1Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Mechanical Engineering and Applied Mechanics, Chemical and Biomolecular Engineering, University of Pennsilvania, Philadelphia, PA, United States, 3Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

ASL MRI uses arterial blood water as a diffusible tracer for noninvasive quantification of CBF in physiological units. To produce reliable results across platforms and across subjects, ASL MRI protocols need to be calibrated against a sample with known properties, but it is challenging to simulate tissue perfusion in a mechanical phantom. In this study we present a 3D printed ASL perfusion phantom based on a fluid dynamics model.

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Rapid Volumetric Imaging of the Spinal Cord using AMIRA-3D
Matthias Weigel1,2, Tanja Haas2, and Oliver Bieri1,2

1Dept. of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 2Dept. of Radiology, Radiological Physics, University of Basel Hospital, Basel, Switzerland

For fast volumetric spinal cord imaging, a 3D acquisition strategy for the recently published Averaged Magnetization Inversion Recovery Acquisitions (AMIRA) approach was developed: AMIRA-3D. It typically acquires 12 slices with a resolution of 0.67 x 0.67 x 3.0 mm3 in 5:27 min, which represents an acquisition time of just 27 secs per slice. As common to all AMIRA approaches, images with remarkable different tissue contrast are acquired for each slice (or partition) simultaneously. Some of these images can be combined to both enhance and fine-tune the desired tissue contrast.

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Clinically viable g-ratio imaging with unified readout at 3T: evaluation and comparison
Francesco Grussu1,2, Marco Battiston1, Ferran Prados1,3,4, Torben Schneider5, Enrico Kaden2, Rebecca S. Samson1, Daniel C. Alexander2, and Claudia A. M. Gandini Wheeler-Kingshott1,6,7

1Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 4Universitat Oberta de Catalunya, Barcelona, Spain, 5Philips UK, Guildford, Surrey, United Kingdom, 6Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 7Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy

The current way of performing g-ratio imaging is via multi-modal MRI with mixed readouts. This approach can limit the geometrical correspondence of multi-modal maps required for g- ratio calculation. Here we compare g-ratio imaging performed with innovative unified spin echo EPI readout to standard mixed-readout measurements (spoiled gradient echo and spin echo EPI). A unified readout is a feasible alternative to mixed readouts: both provide biologically plausible metrics, with comparable scan-rescan repeatability. Additionally, a unified EPI readout is compatible with multiband acceleration, and enables joint multi-contrast modelling. Our work paves the way for richer multi-contrast acquisitions that could improve g-ratio imaging.

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Continuously visualizing slow flow using SSFP
Koichi Oshio1, Masao Yui2, Seiko Shimizu3, and Shinya Yamada4

1Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan, 2Research and Development Center, Canon Medical Systems Corporation, Ohtawara, Tochigi, Japan, 3National Sales Division, Canon Medical Systems Corporation, Tokyo, Japan, 4Toshiba Rinkan Hospital, Sagamihara, Kanagawa, Japan

A novel technique that can visualize relatively slow flow continously. It is based on SSFP sequence, and gradient pulses are added to introduce spatially linear field gradient. When the steady state is reached, dark bands appear due to the large linear field gradient. When the spins move, these dark band moves following the spin motion, and the flow can be visualized as the motion of the dark bands. Numerical simulation was performed to verify the response to flow, and volunteer images were also taken.  It can be a powerful tool to investigate CSF flow.

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Simultaneous Multi-Slice Spin and Gradient Echo Dynamic Susceptibility-Contrast Perfusion Imaging of Gliomas
Misung Han1, Baolian Yang2, Brice Fernandez3, Marisa Lafontaine1, Brian Burns4, Suchandrima Banerjee4, and Janine M Lupo1

1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 3Applications and Workflow, GE Healthcare, Orsay, France, 4Applications and Workflow, GE Healthcare, Menlo Park, CA, United States

DSC MRI allows for the characterization of first-pass hemodynamics by measuring signal intensity variation resulting from susceptibility changes during the injection of a paramagnetic contrast agent. Simultaneous spin and gradient-echo (SAGE) DSC MRI sequences can provide perfusion parameters that are sensitive to both microvasculature and larger vessels facilitating the measurement of vessel size and correcting for T1 leakage effects. This work evaluates the integration of SAGE EPI with a simultaneous multi-slice excitation to attain high temporal resolution DSC perfusion with full brain coverage. Two protocols with different multi-band acceleration factors were compared in patients with glioma.

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Slice-Accelerated Inner-Volume Cervical Spinal Cord Diffusion MRI
Junqian Xu1, Alan C Seifert1, and Joo-won Kim1

1Icahn School of Medicine at Mount Sinai, New York, NY, United States

Cardiac-gated reduced-field of view (FOV) axial cervical spinal cord (C-spine) diffusion MRI (dMRI) has become a mainstay acquisition protocol to achieve tract-specific quantification of tissue microstructure in the C-spine. Building on our previous work in tract-specific C-spine dMRI, we summarize our experiences in combining slice-acceleration (i.e., multiband) with inner-volume-imaging (IVI) for quantitative C-spine dMRI at both 3T and 7T.

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Smart BrainQuant: Ten high quality 3D clinically meaningful contrasts/maps in 6 min on 1.5T using DNN
Mingliang Chen1, Aiqi Sun1, Wei Xu1, Xingxing Zhang1, Ruibo Song1, Lu Han1, Dong Han1, and Feng Huang1

1Neusoft Medical Systems, Shanghai, China

Multi-contrast MR imaging is necessary for clinical diagnosis. Conventional methods require long acquisition time which impede its clinical application. Last year, we proposed a method to acquire 12 high quality contrasts/maps with 0.67×1.33×2.7 mm3 in 8 minutes on 1.5T [1]. In this work, based on deep learning with complete data fidelity, a novel technique called Smart BrainQuant is proposed to further reduce scan time and improve image quality. Feasibility experiments demonstrate that it is achievable to acquire ten 3D contrast/maps with 0.67×0.89×2.7 mm3 in less than 6 minutes on 1.5T with similar image quality to images using the fully acquired data.     

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Towards 1 min brain morphometry - evaluating compressed-sensing MPRAGE
Ross W. Mair1,2, Lindsay C. Hanford1,3, Emilie Mussard4,5,6, Tom Hilbert4,5,6, Tobias Kober4,5,6, and Randy L. Buckner1,2,3

1Center for Brain Science, Harvard University, Cambridge, MA, United States, 2Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Psychology, Harvard University, Cambridge, MA, United States, 4Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland, 5Department of Radiology, University Hospital, Lausanne, Switzerland, 6École Polytechnique, Fédérale de Lausanne, Lausanne, Switzerland

A new MR scan acceleration method, employing incoherent undersampling and compressed-sensing reconstructions, can reduce the scan time for a 1.0 mm MPRAGE to 60-90 seconds, depending on acceleration level. We have validated the morphometrics from a prototype compressed-sensing MPRAGE sequence, with different levels of acceleration, with those from conventional MPRAGE scans. Surfaces created from the compressed-sensing MPRAGE images match those from the conventional scan well. Bulk morphometric values such as total gray and white matter volume, and average cortical thickness are similar to those determined with a conventional MPRAGE scan.

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MR Inversion Recovery Simulation and Scanning of Subjects with Focus on White Matter Lesion Contrast Optimization
Øystein Bech Gadmar1, Anne-Hilde Farstad2, Berit Elstad2, Piotr Sowa3, and Wibeke Nordhøy1

1Diagnostic Physics, Oslo University Hospital, Oslo, Norway, 2Radiography Ullevål/Aker, Oslo University Hospital, Oslo, Norway, 3Radiology Ullevål/Aker, Oslo University Hospital, Oslo, Norway

A MatLab-based inversion recovery sequence simulator/calculator was developed with the purpose of determining and testing optimal parameters for 3D IR acquisitions with the purpose of detecting Multiple Sclerosis lesions in brains. Single inversion FLAIR and dual inversion DIR sequences were studied including a “T1-nulled” DIR sequence removing the undesired T1 weighting inherent in IR sequences to improve lesion-WM contrast. A T2 preparation phase further helps facilitate T1 suppression.

 

Optimized IR sequences were tested on healthy volunteers and some MS patients, on 1.5 T and 3.0 T MR scanners. Good lesion contrast efficiency with high SNR was found for T1-nulled DIR.


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Short- and long-term reliability of BOLD signal change induced by breath holding: Comparison and validation at 1.5T and 3T
Hui-Chieh Yang1, Jyun-Ru Chen1, Chun-Ming Chen2, Yen-Chih Huang2, and Shin-Lei Peng1

1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, 2Department of Radiology, China Medical University Hospital, Taichung, Taiwan

cerebrovascular reactivity (CVR) plays important role in the normalization and/or correction of functional magnetic resonance imaging (fMRI) data. But its reliability at the relatively lower field strengths such as 1.5T, to our knowledge, no study has systematically been conducted to date. By performing the systemic evaluations to compare the short- and long-term reliability of BH-induced CVR at 1.5T and 3T, we found reliable measurements of hemodynamic lag of the BOLD response, t-statistics, and activated cortical gray matter at both field strengths, suggesting that CVR measurement can be performed equally well at 1.5T and 3T.

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Accelerated Compressed Sensing 3D multi-parametric imaging Toward Isotropic1mm3 Imaging
Naoyuki Takei1, Akifumi Hagiwara2,3, Shohei Fujita2, Masaaki Hori2, Ken-Pin Hwang4, Marcel Warntjes5, Suchandrima Banerjee6, Florian Wiesinger7, Shigeki Aoki8, and Hiroyuki Kabasawa1

1MR Applications and Workflow, GE Healthcare, Tokyo, Japan, 2Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, 4Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 5SyntheticMR, Linkoping, Sweden, 6MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 7ASL Europe, GE Healthcare, Munich, Germany, 8Juntendo University School of Medicine, Tokyo, Japan

A multi-parametric technique, 3D QALAS, accelerated using compressed sensing, was implemented to yield images of the brain at high spatial resolution of 1mm isotropic with multiple contrast weightings as well as parametric maps from a single scan. Compressed sensing factor of 1.5 combined with parallel imaging was used to accelerate scan time. The proposed 3D technique is expected to achieve both stable image quality and tissue segmentation accuracy with short imaging time.

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Development of an Express MRI Protocol for Pediatric Brain Imaging in a Clinical Setting
Patrick Quarterman1, Carly Schwartz2, and Angela Lignelli-Dipple3

1GE Healthcare, Brooklyn, NY, United States, 2Radiology, New York Presbyterian Hospital, New York City, NY, United States, 3Radiology, Columbia University, New York City, NY, United States

The purpose of this study was to develop a routine express MRI protocol for pediatric brain imaging that would provide consistent and robust image quality in one-fourth the scan time of current industry standard protocols, utilizing Fast Spin Echo (FSE) T1, FLAIR, T2w, Gradient Echo (GRE) T2*, and Diffusion Weighted Echo Plane Imaging (DW-EPI) sequences. Evaluation was performed on a group of 20 patients and results indicated that imaging using the express brain protocol was of clinically sufficient diagnostic quality and allowed for a significant reduction in overall scan times compared to industry standard routine brain imaging protocols.

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Motion-Robust, Multi-Contrast Rapid Brain Screening Employing Single-Shot FSE with Variable Refocusing Flip Angle
Patrick Quarterman1, Daniel Litwiller1, Jing Zhang2, and Angela Lignelli-Dipple3

1Global MR Applications & Workflow, GE Healthcare, New York City, NY, United States, 2Global MR Applications & Workflow, GE Healthcare Canada, Vancouver, BC, Canada, 3Radiology, Columbia University, New York City, NY, United States

This study’s purpose was to compare single-shot with variable refocusing flip angle (vrfSSFSE) and standard multi-shot Fast Spin Echo (FSE) T1, FLAIR and T2w for pediatric brain evaluation. The resulting data shows in 5 subjects that vrfSSFSE provides clinically-acceptable diagnostic quality with a significant reduction in overall examination scan times and reduced motion/ghosting related artifacts typically observed with standard FSE imaging sequences.

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SNR Comparisons of the Coils used for Neonatal Imaging
Li Zhao1, Zungho Zun1, Subechhya Pradhan1, and Catherine Limperopoulos1

1Diagnostic Imaging and Radiology, Childrens National Medical Center, Washington, DC, United States

Neonatal brain MRI is widely used in clinical and research scans, in which images are acquired with adult head coils or special neonatal head coils. However, the performances of these coils are not very clear. In this work, we provided detailed comparisons of the signal-to-noise ratio with five noise measurement methods, among adult 8-channel head coil, adult 32-channel head coil, and neonatal 8-channel head coil. The results suggested that adult 8-channel coil has the highest signal-to-noise ratio. 

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Whole brain myelin imaging using a Double Echo Sliding Inversion Recovery ultrashort echo time (DESIRE-UTE) magnetic resonance imaging
Ya-Jun Ma1, Hyungseok Jang1, Adam Searleman1, Eric Y Chang1,2, Jody Corey-Bloom3, Graeme M Bydder1, and Jiang Du1

1Radiology, University of California, San Diego, San Diego, CA, United States, 2VA San Diego Healthcare System, San Diego, CA, United States, 3Neurosciences, University of California, San Diego, San Diego, CA, United States

To image myelin in brain more robustly on clinical scanners, we propose a Double Echo Sliding Inversion Recovery ultrashort echo time (DESIRE-UTE) technique for volumetric myelin imaging in vivo. A series of images with different T1 contrasts can be generated by a single scan. The images with a best signal nulling of long T2 components can be easily found in the second echo image series with a minimum long T2 signals. Then myelin images were generated by dual-echo subtraction for both volunteer and multiple sclerosis (MS) patients. The myelin imaging show clearly signal loss in MS lesions in patient study.

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Cellular correlates of multi-parametric magnetic resonance imaging in the human cerebral cortex
Yash Patel1,2, Mark Drakesmith3, John Evans3, and Tomas Paus2,4

1Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada, 2Bloorview Research Institute, East York, ON, Canada, 3CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 4Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada

To investigate the neurobiological underpinnings of common parametric MRI maps, including T1, T2 relaxation, myelin water fraction (MWF), magnetization transfer ratio (MTR), and synthetic T1w/T2w ratio, using a virtual histology approach. Simply put, we relate inter-regional profiles of these MR measures to inter-regional profiles of cell- specific gene-expression profiles. We observe a relationship between oligodendrocyte- specific gene-expression with profiles of T2, MWF, synthetic T1w/T2w – interpreted as sensitive to intra-cortical myelination. Lastly, MTR was not correlated with oligodendrocyte specific profile, rather with profiles of dendritic arbour enriched gene sets (CA1 pyramidal, and ependymal cells).

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Fast multi-contrast EPI protocol:  Preliminary experience with acute intracranial pathologies in the emergency department.
Otto Rapalino1, Julian He1, Pamela Schaefer1, Matthew Christensen1, Arnaud Guidon2, Stefan Skare3, Tim Sprenger4, John Kirsch1, and Ramon Gilberto Gonzalez1

1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2GE Healthcare, Boston, MA, United States, 3Karolinska Institute, Karolinska, Sweden, 4Karolinska Institute, Stockholm, Sweden

Prospective analysis of the diagnostic performance of a fast multi-contrast EPI sequence compared to conventional sequences.   A sample of 30 cases (out of 190) was evaluated and head-to-head comparisons were performed for the visualization of clinically relevant intracranial pathologies.  Our findings suggest that this multi-contrast EPI sequence could potentially provide an acceptable diagnostic alternative to the core conventional brain MRI sequences in selected populations that cannot tolerate long MRI examinations in the Emergency Department.

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Efficient Quantitative MT (qMT) imaging using 3D Segmented EPI readout Variable Flip angle Magnetization Transfer (EP-vfMT) methods
Se-Hong Oh1,2, Ken Sakaie2, and Mark J. Lowe2

1Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yong-in, Korea, Republic of, 2Imaging Institute, Cleveland Clinic Foundation, Cleveland, OH, United States

In this study, newly proposed combined consecutive qMT acquisition scheme was compared with individual MT scan method. Proposed method provides a similar but slightly improved qMT map with slightly higher MT saturation in a clinically feasible scan time. The effect of varying NEX on signal variation of F-map was also investigated. These results suggest that NEX with 2 or 3 is appropriate for the patient scan when considering acquisition time. The EP-vfMT F-map shows high reproducibility (averaged voxel-wise correlation was 0.94 ± 0.03, n=5). These features make the proposed method appealing for clinical neuroimaging applications.

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Multimodal data revealed different biological substrates underlying intelligence for young males and females
Rongtao Jiang1,2, Vince D. Calhoun3,4, Shile Qi3, Tianzi Jiang1,2,5, and Jing Sui1,2,3,5

1Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3the Mind Research Network, Albuquerque, NM, United States, 4Dept. of Psychiatry and Neurosciences, University of New Mexico, Albuquerque, NM, United States, 5Chinese Academy of Sciences Center for Excellence in Brain Science, Institute of Automation, Beijing, China

Individual differences in intelligence are usually measured using psychometric tests, which cover multifaceted cognitive domains and are strongly predictive of various life outcomes. Here, we employed connectome-based predictive modeling (CPM) to estimate individual’s IQ scores using either cortical thickness in grey matter or resting-state functional connectivity within fully cross-validations for males and females separately. Importantly, integrating multimodal neuroimaging data using CPM achieved improved prediction performance. Interestingly, we found that males and females use distinctively structured brains to achieve similar level of intelligence, consistent with their superiority in cognitive behavior domains (visuospatial processing and logical thinking vs. verbal and memory ability).

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Non-invasive Deep-brain Optogenetic fMRI Mediated by 808 nm Infrared-sensitized Upconversion Nanoparticles
Audrey S. Guo1,2, Alex T.L. Leong1,2, Xunda Wang1,2, Celia M. Dong1,2, Eddie C.S. Wong1,2, Kannie W. Y. Chan3, Liming Bian4, and Ed X. Wu1,2

1Electrical and electronic engineering, University of Hong Kong, Hong Kong, Hong Kong, 2Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong, 3Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 4Department of Biomedical Engineering, Chinese University of Hong Kong, Hong Kong, Hong Kong

Typically, optogenetic fMRI is presented at the target region through an implanted optical fiber. Despite the use of small fibers that range from 100µm-400µm in diameter that will ensure minimal brain tissue injury during insertion, it remains an invasive procedure as small brain regions could be easily damaged. In this study, we aim to demonstrate a solution to make non-invasive optogenetic stimulation viable, particularly when used in combination with fMRI to stimulate deep brain regions. We propose the use of our recently developed upconversion nanoparticles (UCNPs), which can be triggered to emit blue light by penetrative near-infrared light (NIR; 808nm) and excite channelrhodopsins (ChR2) expressed in ventral posteromedial (VPM) thalamocortical excitatory neurons. 

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Progress towards direct in-vivo detection and mapping of neuronal activity
Tan-Toi Phan1,2, Hansol Lee2, Jeong-Taek Lee1,2, Seung-Kyun Lee1,2, and Jang-Yeon Park1,2

1Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of

Currently, despite much effort to probe the possibility of using MRI for directly detecting and mapping the neuronal activity, the results are inconclusive. Herein, to build upon our previous works, we present new results of using MRI to directly detect and map the neuronal activity with a high temporal resolution up to 4.5 ms. Using a low-flip angle gradient-echo line-scan method, we observed indications of propagating image intensity changes along an electrically stimulated live earthworm at 9.4 T.

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The clinical condition to be assessed by radiological assessment significantly influences the radiological scores of Compressed Sensing accelerated 3D brain MRI
Arnold Julian Vinoj Benjamin1,2, Wajiha Bano1,2, Grant Mair2, Gerard Thompson2, Michael Davies1, and Ian Marshall2

1Institute for Digital Communications, University of Edinburgh, Edinburgh, United Kingdom, 2Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom

This study shows that it is important to clearly define the correct clinical question that needs to be answered before the radiological assessment of accelerated 3D gradient echo brain scans for clinical diagnosis.

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Improved quantitative accuracy using ultrahigh resolution DTI-guided QSM
Lijia Zhang1,2, Chris Petty1, and Allen Song1

1Brain Imaging and Analysis Center, Duke University, Durham, NC, United States, 2Medical Physics, Duke University, Durham, NC, United States

Quantitative susceptibility mapping (QSM) has been increasingly used to help access the brain development, especially white matter myelination. However, the quantitative accuracy is limited by its angle dependence to the magnetic field. In this study, ultrahigh resolution diffusion tensor imaging (DTI) was used to delineate the fiber bundles (i.e. corpus callosal fibers), followed by tract-based QSM to minimize the angle dependence and accurately assess magnetic susceptibility changes in different brain regions.


Clinical Traumatic Brain Injury

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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The relationship between baseline PETCO2 measurements and cerebral blood flow: The importance of resting vascular tension in perfusion-based studies
Nicole Coverdale1, Allen Champagne1, and DJ Cook1

1Queen's University, Kingston, ON, Canada

Measures of cerebral blood flow (CBF) are often used to examine cerebral physiology after sport-related concussion. Carbon dioxide modulates CBF and determines resting vascular tension yet studies rarely account for this. This study examined the effect of the end tidal partial pressure of carbon dioxide (PETCO2) on CBF in athletes. PETCO2 accounted for 14% of the variance in CBF and this increased to 37% when age and sex were included. No prior studies examining SRC and CBF have accounted for resting PETCO2. Future studies should move from univariate to multivariate methods to ensure that CBF-based estimates are interpreted correctly.     

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Metabolite Levels Differ in Contact and Non-Contact Sport Female Varsity Athletes
Amy Schranz1, Gregory A Dekaban2, Lisa Fischer3, Kevin Blackney2, Christy Barreira2, Timothy J Doherty4, Douglas D Fraser5, Arthur Brown2, Jeff Holmes4, Ravi S Menon2, and Robert Bartha2

1Medical Biophysics, Robarts Research Institute, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Fowler Kennedy Sport Medicine Clinic, London, ON, Canada, 4University of Western Ontario, London, ON, Canada, 5London Health Sciences Centre, London, ON, Canada

Reduced glutamine levels were previously found in the prefrontal white matter of female varsity rugby athletes after a season of play potentially induced by exercise or caused by sub-concussive hits. The current study examined a group of non-contact female varsity athletes and found no changes in glutamine levels, ruling out an exercise effect. Additionally, differences in absolute N-acetyl aspartate, creatine, myo-inositol, glutamate and glutamine were found between rugby players and non-contact athletes. With the future addition of a sedentary group, these data have the potential to elucidate the beneficial and negative effects of exercise and contact play.

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Structural and functional neuroimaging changes in female rugby players with and without a history of concussion
Kathryn Yvonne Manning1, Jeffrey S. Brooks2, Lisa Fischer3, Kevin Blackney4, Alexandra Harriss5, Arthur Brown6, Robert Bartha7, Tim Doherty8, James P. Dickey2, Tatiana Jevremovic3, Christy Barreira4, Douglas Fraser9, Jeff Holmes10, Gregory A. Dekaban11, and Ravi S. Menon12

1Radiology, University of Calgary, Calgary, AB, Canada, 2Kinesiology, Western University, London, ON, Canada, 3Primary Care Sport Medicine, Fowler Kennedy Sports Medicine, London, ON, Canada, 4Molecular Medicine, Robarts Research Institute, London, ON, Canada, 5Health and Rehabilitation Sciences, Western University, London, ON, Canada, 6Anatomy and Cell Biology, Western University, London, ON, Canada, 7Medical Biophysics, Western University, London, ON, Canada, 8Physical Medicine and Rehabilitation, Western University, London, ON, Canada, 9Paediatrics Critical Care Medicine, Western University, London, ON, Canada, 10Occupational Therapy, Western University, London, ON, Canada, 11Microbiology and Immunology, Western University, London, ON, Canada, 12Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada

In this study we acquired diffusion and resting state fMRI data from female varsity rugby players, rowers and swimmers during the in- and off-season and found (a) significant alterations in the corpus callosum that correlated with altered default mode network connectivity with the posterior cingulate cortex as well as (b) fluctuations in white matter diffusion measures within the brainstem in contact athletes compared to non-contact athletes. Together this suggests that repetitive subclinical impacts incur both acute and long-term changes to brain microstructure and function despite lack of symptoms or even a history of concussion.

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Multi-parametric analysis reveals metabolic and vascular effects driving differences in BOLD cerebrovascular reactivity associated with a history of sport concussion
Allen Anthony Champagne1, Mike Germuska2, Nicole S Coverdale1, and Douglas J Cook1,3

1Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada, 2Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, United Kingdom, 3Department of Surgery, Queen’s University, Kingston, ON, Canada

In this study, we identified robust differences in BOLD-CVR across the brain which were explained, in part, by hemodynamic parameters relating to CBF modulation, and resting metabolic and vascular physiology. These results emphasize that while BOLD-CVR offers promises as a surrogate biomarker for cerebrovascular health, following sport-concussion, multiple hemodynamic parameters can affect its relative measurements. Thus, multi-parametric approaches like the one proposed here should be considered, in order to better understand how head injuries can relate to changes in the vascular reactivity of the brain, post-injury, and avoid naïve interpretation of neuroimaging findings.

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High impact sports and microstructural changes in cortical brain tissue: a 4-year longitudinal study of collegiate athletes
Brian D Mills1, Maged Goubran1, Christian Thaler1, Sherveen Parivash1, Paymon Rezaii1, Wei Bian1, Phillip DiGiacomo1, Lex Mitchell1, Brian Boldt1, Jarrett Rosenberg1, David Douglas1, Jitsupa Wongsripuemtet 1, Huy Do1, Jens Fiehler2, Chiara Giordano1, Max Wintermark1, Gerald Grant1, David Camarillo1, and Michael Zeineh1

1Stanford, Stanford, CA, United States, 2University Medical Center Hamburg-Eppendorf, Hamburg, Germany

Exposure to repeated high-velocity impacts may contribute to increased risk of cognitive impairment. However, there has been limited long-term longitudinal investigations into brain tissue change in high-impact sports. In this large 4-year longitudinal DTI study, high (football) and low-contact (volleyball) athletes show a temporal double dissociation in cortical microstructure: in both the frontal and temporal lobes, cortical FA increases over time in volleyball compared to football. While an increase in ICVF underlies this FA increase in frontal cortex, a decrease in ODI underlies this FA increase in temporal cortex. Exposure to high-impact sports may alter cortical microstructural development.

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Significant Reductions in Brain Cortical Volumes and Regional Cerebral Blood Flows after Playing College Football 2 to 3 Years
David C. Zhu1, Sally Nogle2, Scarlett Doyle1, Doozie Russell3, and David I Kaufman3

1Department of Radiology, Michigan State University, East Lansing, MI, United States, 2Department of Intercollegiate Athletics, Michigan State University, East Lansing, MI, United States, 3Department of Neurology and Ophthalmology, Michigan State University, East Lansing, MI, United States

There has been growing concern over sports-related brain injuries and their long-term effects. However, the cumulative effect of sub-concussive hits on the brain is still poorly understood. Twenty-one male Division I collegiate football athletes completed T1 volumetric and arterial spin labeling MRI scans at freshman year with follow-up 2-3 years later. Significant reductions in both brain global and regional cortical volumes were observed. Interestingly, cerebral blood flow was significantly reduced in regions associated with the default-mode network. These changes point to potential long-term effects of sub-concussive hits on the brain.

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Low-Magnitude Hits Matter: Single-Season Longitudinal DTI Study on Asymptomatic High School Football Players
Ikbeom Jang1, Taylor Lee2, Trey E. Shenk3, Victoria N. Poole4, Eric A. Nauman2,5,6, Larry J. Leverenz7, and Thomas M. Talavage1,5

1School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 2School of Mechanical Engineering, Purdue University, West Lafayette, IN, United States, 3Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, United States, 4Institute for Aging Research Instructor in Medicine, Harvard Medical School, Boston, MA, United States, 5Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 6Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, United States, 7Department of Health and Kinesiology, Purdue University, West Lafayette, IN, United States

The potential consequences of repeated low-magnitude head acceleration events (HAEs) have been less frequently investigated compared to immense HAEs. Retrospective examination of diffusion-weighted-imaging data collected longitudinally from male high school athletes was used to examine the hypotheses that athletes who experience repetitive HAEs will exhibit greater changes in diffusivity than athletes who do not experience repetitive HAEs and that low-magnitude HAEs will affect the integrity of the white matter.

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QSM Detects Post-Concussion Changes in Subcortical Gray Matter Susceptibility
Kevin Koch1, Brad Swearingen2, Robin Karr1, Andrew Nencka1, L. Tugan Muftuler2, Timothy Meier2, and Michael McCrea2

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgergy, Medical College of Wisconsin, Milwaukee, WI, United States

A longitudinal QSM study of sports concussion in 80 injured and control athletes is presented.   Regional ROI analysis demonstrated group susceptibility effects that reproduced a previous smaller cohort study finding that QSM diffusely increased in the white matter after sports concussion.   In addition, this larger cohort study identified a significant acute trend of decreased susceptibility in sub-cortical gray matter, which is indicative of the calcium influx that is known to occur during the neurometabolic cascade following brain injury.   The subcortical gray matter QSM decrease correlated strongly with clinical injury severity metrics. 

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Neurometabolite changes in College Hockey Players Correlated with Repetitive Head Impacts
Tyler C Starr1, Katherine Breedlove2,3, Monica Lininger4, Molly Charney1, Melissa DiFabio3, Eduardo Coello1, Huijun Liao1, Curtis Johnson3, Thomas Buckley3, and Alexander Lin1

1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Neurotrauma Research Laboratory, Michigan Concussion Center, University of Michigan, Ann Arbor, MI, United States, 3Department of Kinesiology & Applied Physiology, University of Delaware, Newark, DE, United States, 4Department of Physical Therapy & Athletic Training, Northern Arizona University, Flagstaff, AZ, United States

Repetitive head impacts can lead to long-term cognitive deficits and neurodegenerative diseases such as chronic traumatic encephalopathy. To further understand the effects of repetitive subconcussive head impacts, this study aimed to measure neurochemical concentrations throughout a season of collegiate hockey and examine the relation between subconcussive impacts and neurochemical changes using telemetry and MRS data. As seen in previous studies, players experienced an increase in N-acetyl aspartate and choline. Interestingly, post season NAA was negatively correlated with some telemetry metrics. 

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Decreased Brain Temperature in Former NFL Athletes
Tyler Chazan Starr1,2, Molly Charney1,2, Michael Alosco3, Jeffrey Qu1,2, Eduardo Coello1,2, Huijun Liao1,2, Inga Koerte4,5,6, David Kaufmann4,6, Martha Shenton1,4,5,7, Robert Stern3, and Alexander Lin1,2,4

1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Center For Clinical Spectroscopy, Brigham and Women's Hospital, Boston, MA, United States, 3Boston University, Boston, MA, United States, 4Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, United States, 5Psychiatry, Massachusetts General Hospital, Boston, MA, United States, 6Child and Adolescent Psychiatry, Ludwig-Maximilians-Universität, Munich, Germany, 7VA Boston Healthcare System, Brockton, MA, United States

Currently, Chronic Traumatic Encephalopathy (CTE) is only diagnosed post-mortem, therefore advanced imaging has an opportunity to identify biomarkers for this disease. This study’s goal is to use Magnetic Resonance Spectroscopy (MRS) and MR Thermography (MRT) to measure cerebral temperature differences between retired former NFL players (n = 50) suspected of CTE and controls (n = 13). The NFL players were found to have lower brain temperature than the controls (p = 0.0340). These finding suggest there is a metabolic difference between those suspected of CTE and healthy controls.

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Changes in Cerebral Blood Flow after Youth Sport-Related Concussion and with Recovery
Najratun Nayem Pinky1, Carolyn Emery2, Chantel Debert3, and Bradley Goodyear4

1Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada, 2Faculty of Kinesiology and Departments of Pediatrics and Community Health Sciences, University of Calgary, Calgary, AB, Canada, 3Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 4Dept of Radiology, University of Calgary, Calgary, AB, Canada

Mild traumatic brain injury (mTBI), including sport-related concussion, is a major health issue. Changes in cerebral blood flow (CBF) following concussion, as measured by arterial spin labeling (ASL) MRI, may potentially be an indicator of injury or recovery. Compared to healthy controls, we found that CBF was significantly decreased in recently concussed youth ( within 14 days post-injury) within the regions of the occipital and parietal lobes, including the right precuneus. For these regions, CBF of recovered youth was greater than recently concussed and less than controls, though not significantly different from either group.

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MR Elastography (MRE)-assessed skull-brain coupling is affected by sports-related repetitive head impacts (RHI)
Ziying Yin1, Yi Sui1, Armando Manduca2, Anthony J Romano3, Richard L Ehman1, and John Huston III1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, 3Naval Research Laboratory, Code 7160, Washington, DC, United States

Repetitive head impacts (RHI) in contact sports are known to be associated with altered brain structure and increased concussion susceptibility. Here, MR elastography-based assessment of skull-brain mechanical coupling was used as a new biomarker to assess the RHI-related injury. With novel MRE techniques to directly measure skull-brain displacement, this study aimed to determine the repeatability of MRE-measured mechanical coupling parameters and to assess their changes in RHI subjects. Results demonstrate good repeatability and show preliminary evidence that rotational transmission is significantly higher in RHI group, presumably due to the degradation of the damping capabilities of the protective pia-arachnoid complex following RHI.

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Magnetic resonance elastography of repeated head impacts: Mechanical properties of the brain in collegiate hockey players
Daniel R Smith1, Melissa DiFabio2, Peyton Delgorio1, Elizabeth Paige Dickinson1, Thomas Buckley2, and Curtis L Johnson1

1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States

In this study, we use magnetic resonance elastography (MRE) to examine the effects of a season of collegiate hockey on brain biomechanics to better understand the neurological impact of traumatic brain injury. We scanned 13 collegiate-level hockey players at four time points over the course over year using MRE to quantify the possible changes to the viscoelastic mechanical properties caused by repeated head impacts. We discovered that both stiffness and damping ratio changed over the course of the hockey season and then had some recovery after the season, indicating a complex pathology that can be quantified with MRE.

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Monitoring subtle brain structural changes following concussion through advanced texture analysis of standard MRI scans
Munib Ali1, Shrushrita Sharma1, Glen Pridham1, Shahnewaz Hossain1, Mike Jarrett2, Jack Taunton2, David D.K. Li2, Alex Rauscher2, and Yunyan Zhang1

1University of Calgary, Calgary, AB, Canada, 2University of British Columbia, Vancouver, BC, Canada

Concussion is a severe health problem and occurs extremely common in contact sports. Clinical MRI is typically used to detect brain abnormalities following injury. However, focal brain pathologies are rarely found. We applied a local spatial frequency-based texture analysis method to evaluate whether invisible MRI changes exist and how they evolve following concussion. Results show that T2 texture spectra decreased uniformly at 2 weeks, continuing at 2 months before recovering thereafter towards baseline in concussed subjects. There were no changes in the non-concussed groups. Advanced texture analysis of clinical MRI may help monitor subtle brain structural changes following concussion.

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Magnetic Resonance Imaging to Determine Cerebro-Spinal Fluid Volume to Verify the Role Dehydration Plays in Traumatic Brain Injury
Abi Spicer1, Michael I. Newton1, and Robert H. Morris1

1Physics and Mathematics, Nottingham Trent University, Nottingham, United Kingdom

In contact sports, it is common to see frequent head injuries or indeed traumatic brain injuries (TBI) from minor impacts which anecdotally appear increased as a result of concussion. There is little agreement in the literature regarding the change in CSF volume as a function of dehydration. Here we measure the volume using TrueFISP at 1.5T (Avanto, Siemens, DE) and thresholding images to determine the number of CSF voxels. Imaging reveals a decrease in CSF owing to dehydration. New rehydration regimens should allow for reduction in TBI incidence.  

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Altered Functional Connectivity during N-Back Task is Associated with Cognitive Deficits in Mild Traumatic Brain Injury
Nai-Chi Chen1,2, Chia-Feng Lu1,3, Li-Chun Hsieh1,2,4, Sho-Jen Cheng1,4, Yu-Chieh Jill Kao1,2, and Cheng-Yu Chen1,2,4

1Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan, 2Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, 3Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, 4Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan

A subgroup of patients with mild traumatic brain injury (mTBI) suffers from a series of cognitive symptoms, including the memory loss and attention deficit. In our study, we investigated the alterations of functional connectivity during N-back working memory task in 46 mTBI and 43 HC using independent component analysis. Despite both groups revealed comparable performances during task, mTBI showed lower functional connectivity in several task-related neural networks that can be correlated with the cognitive complaints. We concluded that the alterations of neural networks may indicate cognitive symptoms after mTBI.

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TBI-induced alterations in white matter microstructure relate to impairments in cognition and psychological functioning
Jose Manuel Guerrero Gonzalez1, Benjamin Yeske2, Nagesh Adluru2, Gregory Kirk2, Peter Ferrazzano3, and Andrew Alexander4

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, 3Pediatrics, Univesity of Wisconsin - Madison, Madison, WI, United States, 4University of Wisconsin - Madison, Madison, WI, United States

Diffusion tensor imaging (DTI) was performed one-two years after severe traumatic brain injury in a cohort of  pre-adolescent and adolescent children.  The study investigated the relationships between DTI measures and variations in performance for memory and executive function, and overall clinical dysfunction. Mean diffusivity (MD) in the fornix correlated with learning and verbal tasks. MD in the corpus callosum and global white matter was related to global fuction.

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White Matter Microstructural Change Following Traumatic Brain Injury Assessed by Biophysical Modeling using Simultaneous Multi-Slice Multi-Shell Diffusion MRI
Ping-Hong Yeh1, Chihwa Song1, Cheng Guan Koay1, Wei Liu1, Grant Bonavia1, John Ollinger1, and Gerard Riedy1

1National Intrepid Center of Excellence (NICoE), Walter Reed National Military Medical Center, Bethesda, MD, United States

Mild traumatic brain injury (mTBI) is difficult to diagnose and characterize. In this study, we applied simultaneous multi-slice multi-shell diffusion MRI to assess white matter microstructural changes in chronic military mTBI. Preliminary results showed parameters derived from diffusion MRI biophysical modeling are superior to the parameters derived from diffusion tensor imaging in differentiating tissues with distinct structural and architectural features, and thus has increased ability to identify microstructural changes in mTBI.   

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Mild TBI Patients Continue to Recover from Perfusion Deficits Months after Initial Injury Evaluated with Dynamic Susceptibility Contrast Imaging
Wei Liu1,2, Ping-Hong Yeh1, Chihwa Song1, Dominic E Nathan1,2, Rael Lange1,3, Louis M French1,3, Tracey A Brickell1,3, Sara M Lippa1,3, Grant H Bonavia1, John M Ollinger1, and Gerard Riedy1

1National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, United States, 2The NorthTide Group LLC, Sterling, VA, United States, 3Defense and Veterans Brain Injury Center, Walter Reed National Military Medical Center, Bethesda, MD, United States

Dynamic susceptibility imaging was performed on 7 mild TBI (mTBI) patients and 16 aged matched controls. Patients were scanned at three intervals: 143 ± 56 days, 277 ± 72 days and 918 ± 353 days after injury. The rCBF of mTBI patients in the cerebellum and cuneus was lower compared to the controls at the fist scan, but continued to increase over time. As a result, mTBI patients demonstrated similar rCBF of the control subjects at the last scan. This finding suggests mTBI patients continue to recover from perfusion deficits months after their initial injury.

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Perfusion and brain volume loss after traumatic brain injury
Lisa A. van der Kleij1, Jill B. De Vis2, Matthew C. Restivo3, Lisa C. Turtzo2, Jeroen Hendrikse1, and Lawrence L. Latour2

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 3Division of Intramural Research, National Heart Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States

How can we identify traumatic brain injury (TBI) patients at risk for long-term brain injury? In this longitudinal study, 57 patients with a relatively good clinical status on admission underwent MRI within 48 hours and at 90 days after injury. Brain volume changes were markedly larger in patients with subarachnoid hemorrhage (-3.2%) compared to patients without subarachnoid hemorrhage (-0.4%; P <0.001). Perfusion was moderately correlated with brain volume change at 90 days (ρ = 0.39; P = 0.003). This demonstrates the utility of imaging markers on acute MRI, especially subarachnoid blood, to identify patients at risk for long-term brain injury.

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Analysis of automatically extracted structural features to describe traumatic brain injury severity
Marianna La Rocca1, Giuseppe Barisano1, Ryan Cabeen1, Paul Vespa2, Arthur W. Toga1, and Dominique Duncan1

1Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Keck School of Medicine, Los Angeles, CA, United States, 2Departments of Neurology and Neurosurgery, David Geffen School of Medicine, The University of California, Los Angeles (UCLA), Los Angeles, CA, United States

Post-traumatic epilepsy (PTE) prediction is one of the greatest challenges in recent years. The probability of developing PTE is strongly connected with injury severity. Accordingly, having an automated alternative to clinician scoring, to measure injury severity, could be helpful to measure the progression of the disease in view of finding PTE biomarkers. Therefore, we have conducted a study aimed to evaluate if injury severity can be established from automatic analyses of MRI data in a way comparable to manual clinical scoring. We found a statistical association between morphological features and two clinical scores used to quantify injury severity.

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Elevated serum inflammation-related cytokines predict longitudinal changes of white matter integrity in mild traumatic brain injury
Zhuonan Wang1, Lijun Bai2, Yingxiang Sun1, Bo Yin3, Guanghui Bai4, Feng Zhu5, Kevin K.W Wang6, and Ming Zhang1

1Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xian, China, 2The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China, 3Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China, 4Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China, 5Center for Translational Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xian, China, 6Psychiatry & Neuroscience, Center for Neuroproteomics and Biomarkers Research, University of Florida, Gainesville, FL, United States

Mild traumatic brain injury (mTBI) is the most prevalent neurological insult and approximately 30% of patients have persistently poor clinical outcomes after injury. Evidence indicated both the inflammatory process and white matter (WM) tracts integrity play the crucial roles in clinical outcomes after mTBI. Our study combined inflammation-related cytokines and WM structure changes to examine the dynamic association between white matter integrity and cytokines in mTBI with longitudinal observations. The results had the potential clinical significance and suggested an early intervention on the inflammatory cytokines in order to decrease the structural integrity loss in the WM tracts. 

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Longitudinal White-Matter Abnormalities in Sports-Related Concussion: A Study of Diffusion Magnetic Resonance Imaging from the NCAA-DoD CARE Consortium
Yu-Chien Wu1, Sourajit M Mustafi1, Jaroslaw Harezlak2, Nahla M Elsaid1, Zikai Lin3, Larry M Riggen4, Kevin Koch5, Andrew Nencka5, Timothy Meier5, Yang Wang5, Christopher Giza6, John DiFiori6, Kevin Guskiewicz7, Jason Mihalik7, Stephen LaConte8, Stefan Duma8, Steven Broglio9, Michael McCrea5, Andrew Saykin1, and Thomas McAllister3

1Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 2Indiana University School of Public Health, Bloomington, IN, United States, 3Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States, 4Biostatistics, Indiana University School of Medicine, Indianapoilis, IN, United States, 5Medical College of Wisconsin, Milwaukee, WI, United States, 6University of California Los Angeles, Los Angeles, CA, United States, 7University of North Carolina, Chapel Hill, NC, United States, 8Virginia Tech University, Roanoke, VA, United States, 9University of Michigan, Ann Arbor, MI, United States

In this study, we investigated the longitudinal recovery trajectories of white-matter microstructures in collegiate athletes who sustained sports-related concussion (SRC).  We use diffusion tensor imaging (DTI) to detect white-matter alterations in collegiate athletes longitudinally at four timepoints: 24-48 hours postinjury, the point at which asymptomatic (cleared for return-to-play), seven days following return-to-play, and six months postinjury.  We are interested in the extent of white-matter abnormalities over time and whether the white-matter changes persist beyond the point when athletes are considered clinical recovered (i.e., with normal clinical assessments).

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Effects of Tract Length in White Matter Alterations After Sports-Related Concussion: A Diffusion MRI Study from the NCAA-DoD CARE Consortium
Yu-Chien Wu1, Sourajit M Mustafi1, Jaroslaw Harezlak2, Nahla M Elsaid1, Larry M Riggen3, Kevin Koch4, Andrew Nencka4, Timothy Meier4, Yang Wang4, Christopher Giza5, John DiFiori5, Kevin Guskiewicz6, Jason Mihalik6, Stephen LaConte7, Stefan Duma7, Steven Broglio8, Michael McCrea4, Andrew Saykin1, and Thomas McAllister9

1Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 2Indiana University School of Public Health, Bloomington, IN, United States, 3Biostatistics, Indiana University School of Medicine, Indianapoilis, IN, United States, 4Medical College of Wisconsin, Milwaukee, WI, United States, 5University of California Los Angeles, Los Angeles, CA, United States, 6University of North Carolina, Chapel Hill, NC, United States, 7Virginia Tech University, Roanoke, VA, United States, 8University of Michigan, Ann Arbor, MI, United States, 9Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States

In the present study, we performed streamline tractography to characterize effects of tract length on white-matter microstructural alterations after sports-related concussion.  Streamline length and counts were studied in affected white-matter fiber tracts that were found to have impaired white-matter integrity at some points along the tracts using voxel-based analyses.  The results suggested that long fibers in the brains of collegiate athletes who sustained sports-related concussion are more vulnerable to this mild traumatic brain injury.


Pediatric Neuroradiology: Little Brains

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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Prediction of language lateralization in pediatric epilepsy patients: nodal efficiencies of clinical diffusion connectomes
Nolan O'Hara1,2,3, Min-Hee Lee2,4, Eishi Asano4,5, and Jeong-Won Jeong1,2,4,5

1Translational Neuroscience Program, Wayne State University School of Medicine, Detroit, MI, United States, 2Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, United States, 3MD/PhD Program, Wayne State University School of Medicine, Detroit, MI, United States, 4Pediatrics, Wayne State University School of Medicine, Detroit, MI, United States, 5Neurology, Wayne State University School of Medicine, Detroit, MI, United States

Language typically utilizes left lateralized brain structures, but its specific localization is heterogeneous, which can complicate surgical approaches to pediatric epilepsy. This study used diffusion weighted connectome to explore the structural network properties of patients clinically characterized as “left language dominant” or “bilateral language dominant.” Nodal efficiency values in canonical language regions were found to be more left lateralized in left language dominant patients, improving prediction of group membership beyond clinical variables and identifying pairwise connections that further distinguished lateralization groups. Our findings support the utility of diffusion connectome in predicting language-dominant hemisphere for presurgical evaluation of pediatric epilepsy surgery.

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Detection of abnormal cortical morphology in children and adolescence with intermittent exotropia by anatomic magnetic resonance imaging
Xi Wang1, Lu Lu2, Shi Tang2, Xiaohang Chen3, Meng Liao1, Qiyong Gong2, Xiaoqi Huang2, and Longqian Liu1

1Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China, 2Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 3Department of Optometry and Visual Science, West China Hospital, Sichuan University, Chengdu, China

The current study used anatomic magnetic resonance (MR) imaging to evaluate cortical structure alterations, age-related cortical and structural co-variance differences between children with intermittent exotropia (IXT) and healthy controls. The morphologic changes in the visual cortex and associations cortices, different anatomical-age correlation, and abnormal structural co-variance were detected in IXT group. These findings suggest possible disruptions of the cortical visual networks and the cortical maturation in IXT.

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Monozygotic twin differences in structural connectivity networks underlying Autism Spectrum Disorder (ASD) symptom severity
Emmanuel Peng Kiat Pua1,2, Joseph Yuan-Mou Yang3,4,5, Gareth Ball3, Jeffrey Craig6,7, and Marc Seal3,7

1Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia, 2Developmental Imaging, Clinical Sciences Theme, Murdoch Children's Research Institute, Melbourne, Australia, 3Developmental Imaging, Clinical Sciences Theme, Murdoch Children’s Research Institute, Melbourne, Australia, 4Neuroscience research, Murdoch Children’s Research Institute, Melbourne, Australia, 5Department of Neurosurgery, The Royal Children’s Hospital, Melbourne, Australia, 6Centre for Molecular and Medical Research, Deakin University Medical School, Melbourne, Australia, 7Department of Paediatrics, University of Melbourne, Melbourne, Australia

Neurodevelopmental abnormalities in autism spectrum disorders (ASD) have yet to be reliably identified. Recent work suggests that a likely roadblock is the high degree of subject-specific variation in ASD. We previously implemented a validated network analysis method that identified an atypical functional network underlying individual differences in ASD symptom severity. Here we applied the same approach cross-modally to investigate the association between intra-pair differences in structural connectivity networks and within-twin-pair differences in ASD symptom severity in monozygotic twins. A single structural subnetwork was identified with similar hubs implicating the salience and face-perception networks in severity of social deficits in ASD.

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Strategically Acquired Gradient Echo (STAGE) Imaging as a Means for Multi-Contrast Quantitative Pediatric Neuroimaging with Minimized Sedation: A Pilot Study in Sturge-Weber Syndrome
Yongsheng Chen1,2, Yang Xuan1, Csaba Juhasz3, Jiani Hu1,2, and E. Mark Haacke1,2

1Department of Radiology, Wayne State University, Detroit, MI, United States, 2The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 3Department of Pediatrics, Wayne State University, Detroit, MI, United States

Non-sedated, non-contrast rapid pediatric magnetic resonance imaging methods are of great interest to pediatric radiology. In this work, we explore the possibility of a multi-contrast, quantitative method referred to as STAGE imaging for minimizing or eliminating sedation in Sturge-Weber Syndrome by using a k-space sharing strategy which increases the resolution of susceptibility weighted imaging and quantitative susceptibility mapping. Preliminary results show the potential of STAGE which generates more than 10 pieces of qualitative and quantitative information in one 5-minute protocol at 3T.

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Comparison of 2D BLADE and Spin-Echo Echo­-Planar Diffusion-Weighted Brain MRI at 3 Tesla: Preliminary Experience in Children
Aaron S McAllister1, Lacey J. Lubeley1, Bhavani Selvaraj1, Ning Jin2, Kun Zhou3, Mark Smith1, Ramkumar Krishnamurthy1, and Houchun Harry Hu1

1Radiology, Nationwide Children's Hospital, Columbus, OH, United States, 2Siemens Medical Solutions, Cleveland, OH, United States, 3Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China

We describe our preliminary experience using a GRASE (gradient-echo and spin-echo hybrid) based DWI-BLADE pulse sequence in 53 pediatric patients at 3T.  On a 4-point scale for rating diagnostic image quality and impact of artifacts, 1 (best) – 4 (worst), a neuroradiologist scored conventional spin-echo EPI DWI 2.4±0.7 whilst BLADE scored 1.1±0.3 (p<0.01).  Overall, DWI-BLADE exhibited less geometric distortion at the periphery of the brain, and reduced signal pile-ups at areas of high susceptibility.  The pulse sequence is particularly useful in patients with shunts and dental fixtures and is a viable alternative to conventional spin-echo EPI DWI.

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MRI quantitative assessment of neonatal hyperbilirubin brain damage
Meng Xiaoli1, Wei Xiaocheng2, Zhang Lei3, Ren Zhuanqin4, and Yang Ruwu5

1Department of Radiology, XIAN XD GROUP HOSPITAL, XIAN, China, 2GE Healthcare China, beijing, China, 3Baoji Municipal Central Hospital, baoji, China, 4Baoji Municipal Central Hospital, Baoji, China, 5XIAN XD GROUP HOSPITAL, XIAN, China

Neonatal hyperbilirubinemia (NHB) is a common clinical disease and can cause bilirubin encephalopathy in severe cases,which may lead to serious sequelae such as hearing impairment, visual abnormality and mental retardation in children. Quantitatively evaluating the degree of brain damage in neonates with hyperbilirubinemia is of great significance for the prognosis of neonates.In this study, T1 value was measured in different brain regions of newborns with different serum bilirubin levels using T1 mapping, a new magnetic resonance imaging technology of 3.0T.The threshold value of T1 in neonates with bilirubin brain injury was obtained.It provides the quantitative reference index of neonatal hyperbilirubin brain damage for clinic.

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INCORPORATING MRS BIOMARKERS INTO MULTICENTER CLINICAL TRIALS: QUALITY ASSURANCE RESULTS FROM THE HIGH-DOSE ERYTHROPOIETIN FOR ASPHYXIA AND ENCEPHALOPATHY (HEAL) TRIAL
Jessica L Wisnowski1,2, Yvonne W Wu3, Ashok Panigrahy4, Amit M Mathur5, Sandra E Juul6, Robert C McKinstry7, and Stefan Bluml1

1Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Fetal and Neonatal Institute, Division of Neonatology, CHLA Dept. of Pediatrics, University of Southern California, Los Angeles, CA, United States, 3Neurology, University of California, San Francisco, San Francisco, CA, United States, 4Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 5Pediatrics, Division of Neonatology, Washington University, St. Louis, MO, United States, 6Pediatrics, Division of Neonatology, University of Washington, Seattle, WA, United States, 7Radiology, Washington University, St. Louis, MO, United States

MR Spectroscopy (MRS) provides early biomarkers of brain injury and treatment response in neonates with hypoxic-ischemic encephalopathy. We present preliminary data from the High-dose Erythropoietin for Asphyxia and Encephalopathy (HEAL) Trial (NCT02811263), comparing quality assurance parameters across MR vendors. Overall, we have been able to analyze MRS data obtained from 85% of patients who underwent MRI, although this rate is lower at sites operating GE MR systems. 92% of spectra met quality standards, with slight differences in FWHM and SNR by vendor. Overall, these data demonstrate the feasibility of obtaining reliable MRS data in a multicenter neonatal randomized controlled trial. 

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R2* relaxation rate of white matter in neonates and correlation with clinical predictors of hypoxic ischemic encephalopathy
Yuting Zhang1, Alexander Rauscher2, and Alexander Mark Weber2

1Children’s Hospital of Chongqing Medical University, Chongqing, China, 2UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada

Objective: To evaluate the potential correlation between the clinical predictors of hypoxic ischemic encephalopathy (HIE) and R2* relaxation rate, and the correlation between R2* and radial diffusivity (RD), axial diffusivity (AD). Methods: We obtained mean R2*, RD and AD within the whole white matter of 19 term infants with clinical diagnosis of HIE and 12 healthy controls. Results: R2*, RD and AD did not differ significantly between the healthy controls and infants with HIE. R2* did not associate with the clinical predictors of HIE. Reduced R2* was correlated with increased RD and AD. Conclusion: R2*, RD and AD do not show a clear relationship with clinically defined HIE.

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Alterations of brain white matter in infants with begin enlargement of subarachnoid space by assessing conventional diffusion and WMTI metrics.
Congcong Liu1, Miaomiao Wang1, Xianjun Li1, Chao Jin1, Yannan Cheng1, Huifang Zhao1, Xingxing Tao1, Xiaoyu Wang1, Fan Wu1, Yuli Zhang1, and Jian Yang1

1Department of Radiology, Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China

BESS is characterized by increased cerebrospinal fluid in subarachnoid spaces; some infants with BESS were accompanied with mildly motor and language delay. White matter (WM) development is important to neurodevelopmental outcomes, but relationships between BESS and WM maturation are not very clear. This study aims to quantitative assess WM microstructures of in infant with BESS aged 4-6 months by conventional diffusion and WMTI metrics. Significant decreased FA, α and increased RD, AD, MD, RDe were found in infants with BESS. All results suggested underlying alterations of WM, especially for myelination outside axons. It may provide additional information for neurodevelopment outcomes.

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Altered global white matter microstructure and structural brain connectivity in children born with extremely low birth weight
Ulrika Roine1,2, Timo Roine1,3, Viena Tommiska4, Terhi Ahola4, Aulikko Lano4, Taina Autti1, and Vineta Fellman4,5

1HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 2Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland, 3Turku Brain and Mind Center, University of Turku, Turku, Finland, 4Children´s Hospital, Helsinki University Hospital, Helsinki, Finland, 5Pediatrics, Department of Clinical Sciences, Lund University, Lund, Sweden

Using diffusion MRI, we investigated white matter microstructure and structural brain connectivity in 11-year old children born with extremely low birth weight (ELBW) in comparison with full-term born children. Microstructural white matter properties were investigated within the tract skeleton, and constrained spherical deconvolution based probabilistic tractography and gray matter parcellation were used to reconstruct structural brain connectivity networks. We found decreased integrity and complexity of the white matter microstructure in ELBW, and increased segregation of the structural brain connectivity networks. In addition, the microstructural changes were associated with the administration of antenatal corticosteroids and with retinopathy of prematurity.

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Characterization of neurobiochemical profiles in the neonates using GABA-edited Multi-voxel MR  spectroscopy
Yan Li1, Trevor Flynn1, Dawn Gano1, Hannah Glass1, Donna M Ferriero1, Anthony James Barkovich1, and Duan Xu1

1University of California, San Francisco, CA, United States

This study evaluated neurobiochemical profiles in 11 neonates using GABA-edited MR spectroscopy.  

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What’s shape got to do with it? Exploring subcortical shape and volume alterations in youth with congenital heart disease
Kimberly Fontes1,2, Charles V. Rohlicek3, Christine Saint-Martin4, Guillaume Gilbert5, Kaitlyn Easson1,2, Annette Majnemer6, Mallar M. Chakravarty1,7, and Marie Brossard-Racine1,2,6

1Advances in Brain and Child Development Research Laboratory, Research Institute of the McGill University Health Centre, Montreal, QC, Canada, 2Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada, 3Department of Cardiology, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada, 4Department of Medical Imaging, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada, 5MR Clinical Science, Philips Healthcare, Markham, ON, Canada, 6Department of Pediatrics, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada, 7Computational Brain Anatomy Laboratory, Cerebral Imaging Centre – Douglas Mental Health University Institute, Verdun, QC, Canada

Congenital heart disease (CHD) is a leading cause of long-lasting neurodevelopmental impairment. Evaluating subtle neuroanatomical variation using magnetic resonance imaging data has been shown to be sensitive for capturing morphometric signatures related to neurodevelopmental disorders. In this study, we found morphometric differences in subcortical structures of youth with CHD even in the absence of volumetric differences. While we did not find any significant morphometric differences between groups for the striatum, we did find smaller surface area and inward bilateral inward displacement across the lateral surfaces of the globus pallidus and the thalamus in the CHD group compared to controls.

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Characterization of Diffusion Anisotropy Alterations Associated with Dilated Virchow Robin Spaces in Simple Febrile Seizure Children between 12 and 48 Months
Mustafa Salimeen Abdelkareem1, Xianjun Li1, Miaomiao Wang1, Congcong Liu1, Habib Tafawa1, Anuja Pradhan1, Martha Singh1, Xiaocheng Wei2, Guanyu Yang3, and Jian Yang1,4

1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, 2MR Research China, GE Healthcare, Beijing, China, Xi’an, China, 3Xi'an AccuRad Network and Technology Co. Ltd., Xi'an, China, Xi’an, China, 4Department of Biomedical Engineering, School of Life Science and Technology, Xi’an, China

Dilated Virchow Robin spaces (dVRs) are common in febrile seizure (FS) patients. However, little is known about how dVRs affect the white matter structure in developing brains. This study aimed to characterize the anisotropy alterations in white matter associated with dVRs in simple FS children by using fractional anisotropy (FA). Through inter-group comparisons, FA was larger in simple FS with dVRs children than that in FS without dVRs and control groups. Significant positive correlations between FA and VRs count, seizure duration were found. These results suggest that dVRs can affect the structure of white matter by increasing FA values.

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Age-specific Optimization Strategies of T1-weighted Image Contrasts in Infant Brain
Hongxi Zhang1, Ruibin Liu2, Tingting Liu2, Yi Zhang2, and Dan Wu2

1Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China, 2Biomedical Engineering, Zhejiang University, Hangzhou, China

T1-weighted images of the infant brains (≤ 1-year-old) have the inherently low and rapidly-changing contrasts. Previous optimization methods focused on the neonatal brains (≤ 1-month-old), yet the image contrasts in the rest of the infancy are more dynamic and challenging. Here we measured T1, T2 and proton density maps in 58 infant brains at 3T, and performed simulations to maximize the relative white/gray matter contrast using a centrically encoded 3D-MPRAGE sequence. We proposed differential optimization strategies for 0-3 month-old, 4-6 month-old and 7-12 month-old infants. Results demonstrated improved relative contrasts, even in 4-6 month-old infants who had nearly isointense images.

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The brain-derived neurotrophic factor Val66Met variant is associated with hippocampal volumes in newborn infants
Yukako Kawasaki1,2, Kenichi Oishi1, Antonette Hernandez3, Dan Wu1,4, Yoshihisa Otsuka5, Can Ceritoglu6, Thomas Ernst3,7,8, and Linda Chang3,7,8

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Division of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan, 3University of Hawaii, Honolulu, HI, United States, 4Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 5Department of Neurology, Kobe University, Kobe, Japan, 6Center for Imaging Science Faculty, Johns Hopkins University, Baltimore, MD, United States, 7Diagnostic Radiology and Nuclear Medicine, and Neurology, University of Maryland, Baltimore, MD, United States, 8Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

The brain-derived neurotrophic factor (BDNF) Val66Met variant (Met+) is associated with onset of neuropsychiatric disorders.  Met+ individuals had smaller hippocampi than those with Met-; whether this phenotype is present at birth is unknown. To minimize postnatal environmental influences, we studied newborn Met+ and Met- infants and compared their hippocampal volumes relative to the intracranial volumes (ICV). Hippocampal volumes and ICVs were automatically parcellated.  The Met+ group had significantly smaller % hippocampal volumes than the Met- group (p=0.011).  The BDNF Val66Met variant is associated with smaller hippocampal volumes in newborn infants, suggesting the gene’s effects on prenatal hippocampal development.

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Atlas-based analysis of brain development from newborn to adolescence using NODDI
Xueying Zhao1, Jingjing Shi2, Fei Dai1, Wenzhen Zhu2, and He Wang1

1Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Neurite orientation dispersion and density imaging (NODDI) is a specific designed diffusion model for brain, which provides insights into intra-cellular water contents. Here, we investigated the brain development from 0 to 14 years old using NODDI. The whole brain was divided into 159 regions including cortical gray matter, deep gray matter (dGM) and white matter, and was analyzed through exponential regression. Neurite density presented a higher sensitivity to age-related changes than FA, especially in gray matters. Regional specific asymmetry was found between hemispheres in dGM. Sex difference was observed in the developmental rate of GM.

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Heterogeneous increase of regional cerebral blood flow and its correlation to functional connectivity during infant brain development
Qinlin Yu1,2, Huiying Kang3, Minhui Ouyang1,2, Yun Peng3, John Detre4, Fang Fang5, and Hao Huang1,2

1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Beijing Children’s Hospital, Beijing, China, 4Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States, 5School of Psychological and Cognitive Sciences, Peking University, Beijing, China

The dynamic brain processes during infancy are supported by rapid maturational changes of regional cerebral blood flow (rCBF) to meet the metabolic demands of brain growth. However, the 4D spatiotemporal distribution of regional cerebral blood flow (rCBF) and its relationship to emergence of functional networks are not known. We acquired pseudo-continuous arterial-spin-labeling perfusion MRI and resting-state fMRI from 48 infants to quantify rCBF and functional connectivity (FC), respectively. The rCBF increased significantly faster in default-mode network (DMN) regions than sensorimotor network regions. The rCBF increases at the DMN regions were revealed as the physiological underpinning of emergence of DMN FC. 

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Longitudinal Multi-contrast Atlas of the Paediatric Brain Acquired with 3 Tesla scanners
Elisa Marchetta1, Cristina Baldoli1,2, Antonella Iadanza1, Pasquale Anthony Della Rosa1, Matteo Canini1, Sara Cirillo1, Andrea Falini1,3, and Paola Scifo4

1Neuroradiology, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neuroradiology, CERMAC, Milan, Italy, 3Neuroradiology, Vita-Salute San Raffaele University, Milan, Italy, 4Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy

This work aims to set up a methodology for the creation of paediatric brain longitudinal atlases by using multimodal 3Tesla MR images. These atlases can be used as a reference of normality and enable to show the developmental trajectories of the brain and its tissues, enhancing the modifications that occur from birth to adulthood.

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Validation of Synthetic MRI Brain Volume Segmentation Results in Very Preterm Infants
Maarten Naeyaert1, Tim Vanderhasselt1, Marcel Warntjes2, and Hubert Raeymaekers1

1Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium, 2SyntheticMR AB, Linköping, Sweden

A novel brain segmentation method, based on quantitative R1, R2 and PD maps measured using a multi-delay multi-echo sequence, was tested on very preterm neonates. The intracranial, brain and CSF volumes and fractions were determined using both the quantitative method and MANTiS, an established atlas-based segmentation method. The results of both methods were compared by using Bland-Altman plots and by quantifying the overlap by co-registering the different segment maps and calculating the Dice score. Despite some systematic differences in the volumetric results, both methods agree well. This study shows that segmentation using quantitative data functions well even for neonates.

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Global and regional white matter development in early childhood
Jess Reynolds1,2,3, Melody Grohs2,4,5, Deborah Dewey2,3,6,7, and Catherine Lebel1,2,3

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Owerko Centre, Alberta Children Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Department of Neuroscience, University of Calgary, Calgary, AB, Canada, 5Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, 6Department of Pediatrics, University of Calgary, Calgary, AB, Canada, 7Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada

White matter development continues into early adulthood, but specific regional trajectories in early childhood remain unclear. We aimed to characterize developmental trajectories and sex differences of white matter in healthy young children. 391 diffusion tensor imaging datasets from 118 children (59 male; 2-7.5 years) were analyzed using tractography. Fractional anisotropy increased and mean diffusivity decreased by 5-15% over the 5.5-year period, likely reflecting increases in myelination and axonal packing. Faster and greater development was observed in males during this period. The preschool period appears to be a critical period for the occipital and limbic connections, which underwent the largest changes. 

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Quantifying changes in excitation and inhibition in childhood migraine
Tiffany Kay Bell1,2,3, Megan Webb1,2,3, Melanie Noel3,4, Farnaz Amoozegar5,6, and Ashley D Harris1,2,3

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 4Department of Psychology, University of Calgary, Calgary, AB, Canada, 5Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 6Hotchkiss Brain Institute, Alberta Children's Hospital Research Institute, Calgary, AB, Canada

Though migraine is one of the top five most common childhood diseases, there has been relatively little investigation into migraine in children. There is evidence of abnormal excitability in the cortex of children with migraine, but levels of excitatory and inhibitory neurotransmitters have not been investigated. We used MRS to compare levels of the neurotransmitters GABA (inhibitory) and Glx (glutamate + glutamine; excitatory) between children with migraine and typically developing controls. We found no significant difference in neurotransmitter levels in the brain of children with migraine; however we found a relationship between neurotransmitter levels and migraine characteristics.

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Cerebellar anatomical alterations in youth with complex congenital heart disorder
Athena Buckthought1,2, Gabriel A. Devenyi3,4, Guillaume Gilbert5, Christine Saint-Martin6, Kimberly Fontes1,2, Kaitlyn Easson1,2, Mallar Chakravarty3,4,7, and Marie Brossard-Racine1,2,8

1School of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada, 2Advances in Brain and Child Development Research Laboratory, Research Institute of the McGill University Health Centre, Montreal, QC, Canada, 3Department of Psychiatry, McGill University, Montreal, QC, Canada, 4Cerebral Imaging Center, Douglas Mental Health University Institute, Verdun, QC, Canada, 5MR Clinical Science, Philips Healthcare, Markham, ON, Canada, 6Department of Radiology, Montreal Children's Hospital, McGill University, Montreal, QC, Canada, 7Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 8Department of Pediatrics, Montreal Children's Hospital, Montreal, QC, Canada

Individuals with congenital heart defects (CHD) are vulnerable to long-lasting neurodevelopmental impairments.  In this study, we found that youth with CHD had overall smaller total and regional volumes in the cerebellum, when compared to healthy controls of the same age.  These differences were statistically significant in 18 of 26 bilateral cerebellar regions, but were not significant in lobules I, II, VI and IX as well as Crus I (bilaterally). These anatomical alterations in many regions could lead to functional impairments since the cerebellum plays a role in many aspects of behavior, including movement, cognition and emotional regulation.

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Multimodal brain MRI at birth predicts neurodevelopmental outcome at 2 years of age
Minhui Ouyang1, Qinmu Peng1, Lina Chalak2, Nancy Rollins3, and Hao Huang1,4

1Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 4Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Structural and functional maturation level of brain at birth can be quantified with multimodal MRI, including DTI and resting-state fMRI (rs-fMRI). We hypothesized that features extracted from multimodal brain MRI at birth could better predict the neurodevelopmental outcomes at 2 years of age compared to features extracted from only DTI or rs-fMRI. With combined features of white matter fractional anisotropy and cortical functional connectivity strength from neonatal DTI and rs-fMRI respectively, higher accuracies were achieved using machine learning models to predict Bayley scores at 2 years of age. Heterogeneous feature-contribution patterns were observed across cortical and white matter regions.

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MRI study of cortical thickness and regional brain volume in pediatric cancer survivors
Patricia Stefancin1, Christine Cahaney1, Robert Parker2, Thomas Preston1, Jessica Goldstein1, Rina Meyer2, Cara Giannillo1, Debra Giugliano1, Tim Duong1, and Laura Hogan2

1Stony Brook Medicine, Stony Brook, NY, United States, 2Stony Brook Children's Hospital, Stony Brook, NY, United States

The concept of pediatric chemobrain and the neural mechanisms that underlie its development have not been adequately studied. In this study, MRI was used to examine the neuroanatomy of childhood cancer survivors. We found reduced brain volumes and cortical thicknesses in childhood cancer survivors compared to age-matched controls. These changes were in regions known to be involved in working-memory function and executive function, which could account for the development of executive function difficulties observed in childhood cancer survivors. These findings may prove useful to inform treatment strategies and modify behavioral programs to help survivors combat these issues. 


Alzheimer's Disease: From Mice to People

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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Spatio-temporal alterations in functional connectivity in a rat model of brain glucose metabolism disruption and sporadic Alzheimer’s disease
Yujian Diao1, Catarina Tristão Pereira2, Ting Yin1, Analina Raquel da Silva1, Rolf Gruetter1, and Ileana Ozana Jelescu1

1CIBM, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal

Impaired brain glucose consumption is a possible trigger of Alzheimer’s disease (AD). Animal models can help characterize each contributor to the cascade independently. Here we perform a first-time longitudinal study of brain connectivity in the intracerebroventricular-streptozotocin rat model of AD. We report altered brain circuitry as early as two weeks in regions notoriously affected by AD (cingulate cortices, posterior parietal cortex and hippocampus), and widespread gradual breakdown of connectivity with time. The changes in brain connectivity induced by glucose metabolism disruption can bring further insight into the role of this mechanism in AD.

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Sex and Hemispheric Dependent DTI-based Network Analysis of an Alzheimer’s Disease Mouse Model
David C Hike1,2, Casey P Weiner3,4, Scott E Boebinger5,6, Tara N Palin3, and Samuel Colles Grant1,2

1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States, 3Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Applied Mathematics & Statistics, Johns Hopkins University, Baltimore, MD, United States, 5Wallace H. Cooulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 6Wallace H. Coulter Department of Biomedical Engineeing, Emory University, Atlanta, GA, United States

This study utilizes DTI and graph theory as a novel way for early detection of pathology and connectivity changes related to Alzheimer’s Disease. As a function of phenotype, age and sex, DTI studies were performed on APP/PS1 mouse brains and age-matched wild type controls at 11.75 T. Current hemisphere-dependentdata shows differences between hemispheres within age and phenotype for the parameters observed.

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Longitudinal characterization of white matter degeneration in a rat model of brain glucose hypometabolism and sporadic Alzheimer's disease
Catarina Tristão Pereira1, Ting Yin2, Yujian Diao2, Analina Raquel da Silva2, and Ileana Ozana Jelescu2

1Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal, 2Centre d'Imagerie Biomédicale, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Impaired brain glucose consumption is a possible trigger of Alzheimer’s disease (AD). Animal models can help characterize each contributor to the cascade independently. Here we use the intracerebroventricular-streptozotocin rat model of AD in a first-time longitudinal study of white matter degeneration using diffusion MRI. Diffusion and kurtosis tensor metrics reveal alterations in the cingulum, fimbria and fornix. The two-compartment WMTI-Watson biophysical model further characterizes the cingulum damage as axonal injury and loss - consistent with previous histopathological studies. White matter degeneration induced by brain glucose metabolism disruption can bring further insight into the role of this mechanism in AD.

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Increased water-exchange across the blood-brain barrier in spontaneously hypertensive rats
Ben R Dickie1, Hervè Boutin1, Geoff JM Parker1,2, Stuart M Allan1, and Laura M Parkes1

1Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 2Bioxydyn Ltd, Manchester, United Kingdom

Blood-brain barrier (BBB) and blood-cerebrospinal fluid barrier (BCSFB) dysfunction are increasingly recognised as pathological hallmarks of vascular dementia and Alzheimer’s disease. Chronic hypertension increases the risk of developing both types of dementia, and may contribute by disrupting the function of blood-brain interfaces. Here we study the permeability of blood-brain and blood-CSF barriers to water using our recently developed multi-flip angle multi-echo (MFAME)-MRI protocol in spontaneously hypertensive rats (SHR). SHRs display increased BBB permeability surface area product to water, relative to age matched controls. Such changes may alter brain water and ion balance and/or contribute to glymphatic dysfunction. Blood-CSF barriers were unaffected. 

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Hyperactivity of hippocampus-amygdala network during cue-reward association learning of APP/PS1 Alzheimer’s disease model mice detected by 14T-fMRI
Keisuke Sakurai1, Teppei Shintani1, and Tatsuhiro Hisatsune1

1Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan

Dys-regulation of neural network is a biomarker for neurodegenerative disease, such as Alzheimer’s disease. We prepared numbers of 12-month-old APP/PS1 Alzheimer’s disease (AD) model mice and obtained series of BOLD fMRI (SE-EPI) data during cue-reward association learning. We pointed out hyperactivity of amygdala as well as hippocampus in the AD mice, which may involve in a cause for alteration of behavior phenotype in the AD.

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In vivo manganese-enhanced MRI of amyloid pathology in the 5xFAD mouse model of Alzheimer’s disease
Eugene Kim1, Diana Cash1, Camilla Simmons1, Michel Mesquita1, Steve CR Williams1, Clive Ballard2, and Richard Killick3

1Department of Neuroimaging, King's College London, London, United Kingdom, 2The University of Exeter Medical School, Exeter, United Kingdom, 3Department of Old Age Psychiatry, King's College London, London, United Kingdom

Amyloid plaques are a hallmark of Alzheimer’s disease (AD) but are difficult to detect in vivo due to their small size. We investigated the utility of manganese-enhanced MRI (MEMRI) for visualizing plaques in the 5xFAD mouse model of AD. Plaque-like hypointensities were present in 3D gradient-echo images in all transgenic mice (n=4) but not wild type littermates (n=4). MP2RAGE T1-mapping (n=2/2) revealed reduced manganese uptake in 5xFAD brains, suggesting neurodegeneration. These results demonstrate the potential for MEMRI to provide biomarkers of AD-related neuropathologies that can be useful for monitoring disease progression and therapeutic response in animal models of AD.

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Concomitant reduction of glymphatic flow and CBF in mouse model of Alzheimer’s disease
Yunpeng Wang1,2, Zengmin Li1, Kai-Hsiang Chuang1, and Elizabeth J Coulson1

1The University of Queensland, Brisbane, Australia, 2Xi'an Jiaotong University, Shaanxi, China

An impaired glymphatic system has been implicated in the accumulation of toxins such as amyloid beta (Ab) in Alzheimer’s disease. As both glymphatic flow and cerebral blood flow are driven by arterial pressure, we hypothesized that vascular dysfunction represented by reduced cerebral blood flow might contribute to reduced glymphatic flow. Our preliminary results indicate that aged AD mice have both reduced tissue glymphatic flow and reduced cerebral blood flow. Our results suggests that impairment of the glymphatic system in AD may be partly due to impaired cerebrovascular function.

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Novel diagnosis index for Alzheimer's disease based on a hybrid sequence of QSM and VBM
Ryota Sato1, Kohsuke Kudo2, Yasuo Kawata3, Niki Udo4, Masaaki Matsushima5, Ichiro Yabe5, Akinori Yamaguchi6, Hisaaki Ochi1, Yoshitaka Bito3, and Toru Shirai1

1Research and Development Group, Hitachi, Ltd., Tokyo, Japan, 2Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Hokkaido, Japan, 3Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan, 4Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan, 5Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Hokkaido, Japan, 6Department of Radiology, Hokkaido University Graduate School of Medicine, Hokkaido, Japan

Voxel-based morphometry (VBM) is widely used to diagnose Alzheimer’s disease (AD). Recently, several studies have showed that quantitative susceptibility mapping (QSM) is also useful for detecting iron deposition in the early stages of AD. In this study, we propose a novel diagnosis index for AD based on both QSM and VBM, which are simultaneously executed by a single scan. The diagnostic performance of the proposed index in regard to AD and MCI patients is compared with that of the conventional VBM-based index. The comparison results show that the proposed index improved diagnostic performance for discriminating MCI patients and control groups.

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An extended-2D CNN approach for diagnosis of Alzheimer’s disease through structural MRI
Mariana Pereira1, Roberto Lotufo1, and Leticia Rittner1

1Medical Image Computing Laboratory, School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, Brazil

Alzheimer's disease (AD) is a devastating type of dementia that affects millions of people around the world. To date, there is no cure for Alzheimer's and its early-diagnosis has been a challenging task. The current techniques for AD diagnosis have explored the structural information of MRI. The aim of this work is to investigate the use of 2D-CNN approaches to distinguish AD patients from MCI and NC using T1-weighted MRI, since most of the works either explored the classic machine-learning or 3D-CNN approaches. The main novelty of our methodology is the use of an extended-2D approach, which explores the volumetric information of the MRI data while maintaining the low costs associated with a 2D approach.

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Gaussian Map Descriptors for Alzheimer Detection Using T1-weighted Magnetic Resonance Imaging
Inas A. Yassine1, Nourhan Zayed2, and Shereen E. Morsy1

1Biomedical Engineering and Systems, Cairo University, Cairo, Egypt, 2Computer and Systems, Electronics Research Institute, Cairo, Egypt

Recently, Alzheimer’s Disease (AD) is one of the most emerging elderly diseases. In this study, we propose employing Gaussian map descriptors to discriminate between AD, Mild Cognitive Impairment (MCI) and Normal subjects using T1-weighted Magnetic resonance images (MRI) downloaded from Alzheimer's disease Neuroimaging Initiative (ADNI) website. Extracted Gaussian map descriptors, calculated for the hippocampus, such as Gaussian curvature and mean curvature, were then fed to the support vector machine (SVM) for classification purposes. The Gaussian curvature outperformed mean curvature in case of normal to abnormal, and AD to MCI discrimination with accuracies of 69.5%, and 98.3% respectively.

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Diagnosis of Alzheimer’s diseases using hippocampal metabolite ratios at the subfield level
Dadi Zhao1, Zhao Qing2, Bing Zhang2, and Yu Sun1

1Institute of Cancer and Genomics, University of Birmingham, Birmingham, United Kingdom, 2Department of Radiology, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, China

Hippocampal metabolite ratios can be used as clinical biomarkers to diagnose Alzheimer’s disease (AD), yet the metabolite ratios at a subfield level have been rarely reported, neither for its clinical diagnostic power. We aim to investigate the diagnostic power of metabolite ratios at a subfield level in AD with comparison to the whole level. A quantitative method of metabolite ratios was used, where 2D 1H-MRSI and 3D T1W volumetric MRI were co-registered. Statistical results show subfields have better diagnostic power than the whole hippocampus through metabolite ratios, and also prove the accuracy of the method for AD diagnosis.

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Cervical spinal cord atrophy contributes to classification of Alzheimer’s disease and vascular dementia patients
Roberta Maria Lorenzi1, Fulvia Palesi2, Paolo Vitali2, Alfredo Costa3,4, Gloria Castellazzi1,5, Elena Sinforiani6, Giuseppe Micieli7, Egidio D'Angelo4,8, and Claudia A.M. Gandini Wheeler-Kingshott4,5,9

1Department of Electrical, Computer and Biomedical Engineering,University of Pavia, Pavia, Italy, 2Neuroradiology Unit, Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy, 3Unit of Behavioral Neurology, IRCCS Mondino Foundation, Pavia, Italy, 4Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 5Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 6Laboratory of Neuropsychology, IRCCS Mondino Foundation, Pavia, Italy, 7Department of Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy, 8Brain connectivity center (BCC), IRCCS Mondino Foundation, Pavia, Italy, 9Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy

Brain atrophy is an established biomarker for dementia. Here we tested the hypothesis that spinal cord atrophy is also an important in vivo imaging biomarker for neurodegeneration associated with dementia. 3DT1 images of Alzheimer Disease, Vascular Dementia and healthy subjects were processed to calculate spinal cord morphological parameters, such as vertebral spinal cord cross sectional areas and volumes. We confirmed the presence of significant spinal cord atrophy in dementia compared to healthy subjects. In particular, the C2-C3 vertebrae area resulted to have a considerable weight both for discriminating and classifying Alzheimer Disease from Vascular Dementia and Healthy control subjects.

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Assessment of dilated perivascular spaces in Alzheimer’s patient and normal aging using 3.0T MR images
Anuja Pradhan1, Martha Singh1, Tafawa Habib1, Mustafa Salimeen1, Xianjun Li1, Miaomiao Wang1, Congcong Liu1, Quqiu Min2, Guanyu Yang3, and Jian Yang1,4

1The first affiliated hospital of Xi'an Jiaotong University, Xi'an, China, 2Department of neurology, The first affiliated hospital of Xi’an Jiaotong University, Xi'an, China, 3Xi’an AccuRad network and technology Co. Ltd., Xi’an, China, Xi'an, China, 4The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiao tong University, Xi’an, Shaanxi 710049, People’s Republic of China, xi'an, China

Assessment of frequently enlarged perivascular space (EPVS) is essential for assessing Alzheimer’s disease (AD) patients. Recently, EPVS density has been found to be related to the  early diagnosis of mild cognitive impairment. However, characteristics of the EPVS density in AD patients are not well understood. We evaluated 44 AD patients and 40 controls by assessing the frequency and density of EPVS in quantitative and semi-quantitative methods. The density and frequency of EPVS is higher in AD patients than that in controls. These results suggest that EPVS density could be used as an indicator in the assessment of EPVS in AD.

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Reduced Brain Volume and Integrity in Alzheimer’s HFEH63D Carriers
Carson J Purnell1, Jian-Li Wang1, Qing X Yang1, James R Connor2, and Mark D Meadowcroft1,2

1Radiology, The Pennsylvania State University - College of Medicine, Hershey, PA, United States, 2Neurosurgery, The Pennsylvania State University - College of Medicine, Hershey, PA, United States

The data demonstrate that the HFEH63D polymorphism reduces apparent brain integrity in AD­­ carriers.  AD-HFEH63D carriers have reduced white matter integrity, increased cortical loss, increased amyloid-beta (Aβ) deposition, and an accelerated disease course trajectory compared to HFEWT carriers in regions susceptible to AD pathology. This work helps decipher how HFE mutations affect AD trajectory, regional susceptibility to AD pathology, brain aging integrity, and cognitive decline.

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Quantitative Susceptibility Mapping in Alzheimer's Disease
Christian Langkammer1, Anna Damulina1, Lukas Pirpamer1, Maximilian Sackl1, Martin Soellradl1, Edith Hofer1, Marisa Koini1, Franz Fazekas1, Stefan Ropele1, and Reinhold Schmidt1

1Department of Neurology, Medical University of Graz, Graz, Austria

Using QSM and R2* mapping we found higher iron levels in specific basal ganglia structures in a cohort of 100 patients with AD when compared to 100 age-matched controls. Iron load in the basal ganglia was negatively correlated with brain volume measures.

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Association between T1rho relaxation time and iron deposition among AD patients and normal controls
Chun Ki Franklin Au1, Jill Abrigo1, Chung Tong Vincent MOK2, Wing Chi Lisa AU2, and Weitian Chen1

1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 2Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong, Hong Kong

In this study, we investigated the relationship of iron deposition and T1rho measurement in thalamus among AD patients and healthy controls. Despite the theory indicates elevated iron concentration can decrease T1rho value, we did not observe obvious correlation between iron content and T1rho in this study. This can be due to the fact that the change of iron level is not significant enough to alter T1rho and/or other confounding factors.

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Towards a better understanding of Alzheimer’s Disease: Rasch transformation of cognitive assessment data yields better linear description of cognition using neurometabolite concentrations as explanatory variables
Ariane Fillmer1, Jeanette Melin2, Leslie Pendrill2, Laura Göschel3,4, Stefan Cano5, Semiha Aydin1, Theresa Köbe3,4,6,7, Agnes Flöel3,4,8, and Bernd Ittermann1

1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2RISE Metrology, Gothenburg, Sweden, 3Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie, Charité - Universitätsmedizin Berlin, Berlin, Germany, 4Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany, 5Modus Outcomes, Letchworth Garden City, United Kingdom, 6Studies on Prevention of Alzheimer's Disease (StOP-AD) Centre, Douglas Mental Health University Institute, Montreal, QC, Canada, 7Department of Psychiatry, McGill University, Montreal, QC, Canada, 8Department of Neurology, University Medicine Greifswald, Greifswald, Germany

Due to its non-invasive nature, magnetic resonance spectroscopy is a promising tool for investigating neurochemical disease processes, monitoring potential therapy responses, and diagnosis of Alzheimer’s disease (AD). Changes of γ-amino-butyric acid (GABA) and glutamate (Glu) concentrations have been associated with AD, however, their relationship to other disease parameters is still unknown. This work aims to investigate the relationship of GABA and Glu with cognitive measures and demonstrates that the application of Rasch transformation to cognitive assessment data yields more reliable descriptions of cognitive outcome using metabolite concentrations as explanatory variables.

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Cortical Surface-based Index Change in Alzheimer's Continuum: a Structural MRI Study
Qingze Zeng1, Xiao Luo1, Kaicheng Li1, Peiyu Huang1, Yong Zhang2, and Minming Zhang1

1Radiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, 2GE Healthcare, Shanghai, China

Alzheimer’s disease remains the most common cause of dementia. To identify morphological difference in an early stage, we used surface-based method to detect the cerebral alternation in the Alzheimer’s continuum (subdivided into Alzheimer’s pathologic change and AD) based on the 2018 NIA-AA research framework. We found that the reductions in surface measures were greater in individuals labeled as AD than in participants with Alzheimer’s pathologic change, while these metrics were more significantly decreased in AD dementia patients. Our findings suggest that AD biological definition would be beneficial for earlier detection which could lead to early diagnosis and intervention.

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Gray Matter Structural Covariance Networks Changes along the Alzheimer's Disease Continuum
Kaicheng li1, Xiao Luo1, Qingze Zeng1, Peiyu Huang1, Yong Zhang2, and Min-Ming Zhang1

1The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China, 2GE Healthcare Shanghai, Shanghai, China

Alzheimer’s disease (AD) is a clinical-pathologic entity with a long pathological phase before the dementia onset. The latest ATN classification system is a effective tool in AD research and can provide a more accurate AD stages. Here, we aim to explore the evolution patterns of gray matter structural covariance networks (SCNs) along AD continuum by using the ATN classification system.

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Cerebral venous oxygen saturation variations in Alzheimer's disease complicated with type 2 diabetes patients using susceptibility weighted imaging mapping
Liang Han1, Yanwei Miao1, Junyi Dong1, Xiaoxin Li1, Lizhi Xie 2, Qingwei Song1, and Ailian Liu1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China

Alzheimer's disease (AD) is a progressive neurodegenerative disease. Epidemiological studies suggest that type 2 diabetes (T2DM) patients are 2 times more likely to develop AD than healthy people. But it is unclear yet why more decreased saturation of blood oxygen and secondary more severe cognitive impairment are present in AD patients with diabetes. Susceptibility weighted imaging (SWI) is widely used in the diagnosis of central nervous system diseases and venous oxygen content is the basis of SWI angiography. As such, this study used SWI mapping to measure the changes of magnetic susceptibility as well as the change of blood oxygen.

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Multimodal microscopic imaging of iron accumulation and oxidation state in the Alzheimer’s disease hippocampus
Phillip DiGiacomo1, Samuel Webb2, Ed Plowey1, Maged Goubran1, Sherveen Parivash1, Don Born1, Brian Rutt1, and Michael Zeineh1

1Stanford University, Stanford, CA, United States, 2SLAC National Accelerator Laboratory, Menlo Park, CA, United States

Recent evidence suggests that iron, specifically ferrous Fe2+, may produce oxidative stress in Alzheimer’s disease (AD). However, there remains a gap in our understanding of the progression of iron deposition and its oxidation state. Here, we use X-ray fluorescence imaging (XFI), absorption spectroscopy (XAS), and ultra-high resolution ex vivo MRI in human AD specimens to show that elevated levels of iron correlate with disease severity and to demonstrate that elevated levels of ferrous Fe2+ are present in AD, supporting a neuroinflammatory mechanism. This supports the further development of iron-sensitive MRI as an AD biomarker.

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Alzheimer’s disease progressively weakens the face-processing network
Jie Huang1, Paul Beach2, Andrea Bozoki1,3, and David Zhu1,4

1Department of Radiology, Michigan State University, East Lansing, MI, United States, 2Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 3Department of Neurology, Michigan State University, East Lansing, MI, United States, 4Department of Psychology, Michigan State University, East Lansing, MI, United States

A functional area of unitary pooled activity (FAUPA) is defined as an area in which the temporal variation of the activity is the same across the entire area. Using the signal time course of a task-associated FAUPA may identify the functional network specific for the task, and comparing these task-specific networks between healthy controls and those with neurologic diseases may reveal the relationship between task-specific networks and the disease. A cardinal manifestation of later-stage Alzheimer’s disease (AD) is the progressive disintegration of biographical memory and semantic knowledge. This study found an association of task-specific network disruption with AD severity.

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Alters of brain iron deposition in Alzheimer's disease patients after cognitive training: A prospective study
Lei Du1, Zifang Zhao2, Lizhi Xie3, and Guolin Ma1

1Department of Radiology, China-Japan Friendship Hospital, Beijing, China, 2Department of Anesthesiology, Peking University First Hospital, Beijing, China, 3GE Healthcare, Beijing, China

The increased iron deposition on brain quantitative susceptibility mapping (QSM) has been proved to be correlated with the decreased cognitive function of Alzheimer’s disease (AD) patients, while cognitive training seems an effective intervention for AD patients in clinic. This study quantifies the change of iron deposition of brain tissues before and after cognitive training and further explores the correlation between the change of iron deposition and the change of mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) scores of mild AD patients. The results indicate that cognitive training can relieve iron deposition in right caudate nucleus (p<0.05), right hippocampus (p<0.01) and bilateral globus pallidus (p<0.05). However, there is no correlation between the change of iron deposition of brain tissues and the change of MMSE and MoCA scores, suggesting that cognitive training might be helpful to diminish disease progression of mild AD patients.

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Brain connectivity and gray matter volume changes following donepezil treatment in Alzheimer’s disease
Gwang-Won Kim1 and Gwang-Woo Jeong2

1Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea, Republic of, 2Department of Radiology, Chonnam National University Medical School, Gwangju, Korea, Republic of

Donepezil treatment is associated with improved cognitive performance in patients with Alzheimer’s disease (AD), and its clinical effectiveness has been demonstrated. However, it has been unknown how donepezil treatment influences white matter (WM) connectivity and gray matter (GM) morphology in AD. The purpose of this study was to evaluate the thalamo-cortical white matter connectivity and GM volume after donepezil treatment in patients with AD using probabilistic tractography and voxel-based morphometry (VBM).

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Identifying Rapamycin as a potential preventative therapeutic for Alzheimer’s disease through Multimodal MRl
Mengfan Xia1 and Ai-Ling Lin1,2

1Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, United States, 2Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, United States

The ε4 allele of apolipoprotein E gene (APOE4) is the strongest genetic risk factor for Alzheimer’s disease (AD). Studies have indicated that APOE4 carriers develop vascular and metabolic dysfunctions several decades prior to the clinical symptom of dementia occurs. In this study, we used multi-modal MRI markers to investigate the effect of Rapamycin, a FDA approved drug, on genetically modified pre-symptomatic E4FAD mice, as a preventative therapeutic for AD. Cerebral blood flow and crucial brain metabolites detected by MR spectroscopy were restored in Rapamycin fed mice, consistent with lower BOLD responses, lower cerebrovascular-reactivity (CVR) and decreased Amyloid-beta deposition.


Artificial Intelligence Is Taking Over Your Brain 2

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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Conventional MR-based machine learning for distinguishing brain glioma and solitary metastasis
Zhe Liu1, Chao Jin1, Xiaotong Liu2, Changchang Yin2, Ting Liang1, Yitong Bian1, Yonghao Du1, Qinli Sun1, Zhongqiang Shi1, Buyue Qian2, and Jian Yang1

1The first affiliated Hospital of XI'AN Jiaotong University, XI'AN, China, 2Xi’an Jiaotong University, XI'AN, China

    Differentiation of brain glioma and solitary metastasis is clinically crucial for prescribing the patients’ management and assessing the prognosis. However, indistinguishable signs between two tumors on conventional MRI always embarrass the radiologists and thus lead to high misdiagnosis rate. To address such issue, series of MR features like grey level co-occurrence matrix, histograms of oriented gradient, shape and etc. were first extracted to detail the tumors’ histologic and morphologic characteristics. Then, a gradient-boosting machine learning approach was employed to distinguish the two tumors by the MR features. A good performance with area under receiver operating characteristic curve 0.80, sensitivity 85% and specificity 78% was obtained, suggesting the potential role of our approach in identifying brain glioma and solitary metastasis.

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Enhanced isocitrate dehydrogenase mutation classification in lower grade gliomas with deep learning and CEST and MTC MRI
Zuo Wang1,2, Meiyappan Solaiyappan1, Qihong Rui3, Hye-Young Heo1, Zhibo Wen3, Gregory Hager2, Jinyuan Zhou1, and Shanshan Jiang1

1Department of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, United States, 2Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States, 3Zhujiang Hospital,Southern Medical University, guangzhou, China

we assess the feasibility of using molecular MRI with deep learning to differentiate IDH mutation status in patients with lower grade gliomas. Two separate deep learning models were used to analyze routine MRI and molecular MRI, and then, a combined model was also devised. 18% and 11% higher AUCs were obtained by the combined system, with respect to the routine MRI subsystem and the molecular MRI subsystem, respectively. Molecular MRI with deep learning algorithm demonstrated a great potential to diagnose IDH mutation status, which could be implemented as a robust approach to enhance routine MRI classification performance.

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Grading of glioma using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components
Anirban Sengupta1, Sumeet Agarwal2, Rakesh Kumar Gupta3, Dinil Sasi4, Ayan Debnath4,5, and Anup Singh4

1Centre for Biomedical Engineering, IIT Delhi, New Delhi, India, 2Electrical Engineering, IIT Delhi, Hauz Khas, New Delhi, India, 3Fortis Memorial Research Institute, New Delhi, India, 4IIT Delhi, New Delhi, India, 5University of Pennysylvania, Philadelphia, PA, United States

Grading of glioma based on T1 perfusion MRI parameters is well reported but it has certain challenges specially in differentiating intermediate glioma grades (Grade II vs. III and Grade III vs. IV). In this study, we have differentiated intermediate as well as multiclass glioma grades (Grade II vs. III vs. IV) using an optimized machine learning framework which uses quantitative T1 perfusion MRI parameters in combination with  volume of different components of tumor as a feature set. The results show that it is feasible to obtain low error in glioma grading using the proposed methodology. The results also emphasizes the utility of using volume of tumor subparts in conjunction with T1 perfusion MRI parameters for glioma grading.

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Differentiation of Non-enhancing tumor region from Vasogenic edema in high-grade glioma using a machine learning framework based upon conventional MRI feature
Anirban Sengupta1, Neha Vats2, Sumeet Agarwal3, Rakesh Kumar Gupta4, Dinil Sasi5, Ayan Debnath5,6, and Anup Singh5

1Centre for Biomedical Engineering, IIT Delhi, New Delhi, India, 2NIT kurukshetra, Kurukshetra, India, 3Electrical Engineering, IIT Delhi, Hauz Khas, New Delhi, India, 4Fortis Memorial Research Institute, New Delhi, India, 5IIT Delhi, New Delhi, India, 6University of Pennysylvania, Philadelphia, PA, United States

Differentiation between non-enhancing tumor (NET) from vasogenic edema (VE) in glioma patients is difficult using conventional MRI parameters (CMP) such as FLAIR, T2-W, T1-W and PD-W as they appear similar in intensity in both the regions. T1 perfusion MRI parameters (T1-PMP) have been found useful in differentiating between NET and VE previously. The work in this study shows that combining different CMP using a machine learning algorithm improves differentiation between NET and VE substantially over using any individual CMP. However, combination of T1-PMP still performs slightly better than combination of CMP in differentiating NET from VE.

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Grading of glioma using a machine learning framework based on optimized features obtained from quantitative DCE-MRI and SWI
Banasmita Kar1, Anirban Sengupta1, Rupsa Bhattacharjee1,2, Neha Vats1, Virendra Yadav1, Dinil Sasi1, Rakesh Kumar Gupta3, and Anup Singh1,4

1Center for Biomedical Engineering, Indian Institute of Technology, Delhi, NEW DELHI, India, 2Philips Health Systems, Philips India Limited, Gurugram, India, 3Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 4Department of Biomedical Engineering, All India Institute of Medical Science, New Delhi, India, New Delhi, India

Potential of quantitative dynamic-contrast-enhanced(DCE) MRI parameters in glioma is well reported. However, in some glioma cases, biological behavior of tumors overlap between grades, therefore, correct grading becomes necessary for true classification and further treatment planning. In such cases histopathological glioma grading doesn’t necessarily correlate with DCE-MRI parameters based grading. Objective of this study is to improve the accuracy of grading of glioma using multi-parametric analysis i.e. combining Intra-Tumoral-Susceptibility-Signal(ITSS) volume generated from SWI with DCE-MRI parameters. Using a supervised-machine-learning based approach glioma grading can be improved particularly for the cases where DCE-MRI parameters underperform or vice-versa.

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Comparing supervised and unsupervised machine learning frameworks based upon quantitative-MRI features in differentiation between non-enhancing tumor and vasogenic edema of glioma patients and validation using histopathological ground-truth
Neha Vats1, Anirban Sengupta2, Dinil Sasi3, Rakesh Kumar Gupta4, R.P. Chauhan1, Virendra Kumar Yadav3, Sumeet Agarwal5, and Anup Singh3

1NIT Kurukshetra, Kurukshetra, India, 2Centre for Biomedical Engineering, IIT Delhi, New Delhi, India, 3IIT Delhi, New Delhi, India, 4Fortis Memorial Research Institute, New Delhi, India, 5Electrical Engineering, IIT Delhi, Hauz Khas, New Delhi, India

The aim of this study was to compare the efficacy of unsupervised machine learning technique in differentiating non-enhancing tumor(NET) from surrounding vasogenic edema (VE) in high-grade glioma patients using T1-perfusion MRI parameters. Two unsupervised machine learning techniques, k-means clustering and Gaussian mixture model (GMM) were optimized with respect to their hyper-parameters for differentiating NET from VE and the results were compared with previously published results obtained using a supervised classifier Support Vector Machine (SVM). The results showed that SVM classifier was slightly superior to GMM and K-means clustering in differentiating NET from VE.

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MRI-based deep learning prediction of high amino acid uptake region to improve survival prediction in patents with glioblastoma: A 3D U-net study with deeply learned inter-scanner multi-modal MRI and alpha-[11C]-methyl-L-tryptophan (AMT) PET
Jeong-Won Jeong1,2, Min-Hee Lee2,3, Flora John2,3, Sandeep Mittal4,5, and Csaba Juhasz1,2

1Pediatrics, Neurology, Translational Neuroscience Program, Wayne State University, Detroit, MI, United States, 2Translational Imaging Laboratory, PET center, Children's Hospital of Michigan, Detroit, MI, United States, 3Pediatrics and Neurology, Wayne State University, Detroit, MI, United States, 4Neurosurgery and Oncology, Wayne State University, Detroit, MI, United States, 5Karmanos Cancer Institute, Detroit, MI, United States

Previous studies found that high amino acid uptake measured by alpha-[11C]-methyl-L-tryptophan (AMT)-PET can accurately detect glioblastoma cell infiltration both in enhancing and non-enhancing tumor portions. However, AMT-PET is not widely available for clinical use. This study explores a novel U-Net which can accurately detect high tryptophan uptake glioblastoma regions using clinical multi-modal MRI data. The resulting U-Net led to 0.85±0.08 sensitivity and 0.99±0.00 specificity to predict AMT-PET tumor regions showing significant negative correlation with survival period, suggesting that an end-to-end deep learning of multi-modal MRI data may be effective for survival prediction of glioblastoma patient without the need of AMT-PET.

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Radiomics approach in differentiating the true progression from pseudoprogression in malignant gliomas treated with concurrent radiotherapy and temozolomide chemotherapy
Yan Bai1,2, Jing Zhou1,2, Wei Wei1,2, Yusong Lin3, and Meiyun Wang1,2

1Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China, 2Henan Key Laboratory for Medical Imaging of Neurological Diseases, Zhengzhou, China, 3Cooperative Innovation Center of Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, China

The conventional magnetic resonance imaging could not confirm the enhancing lesion in malignant gliomas after the standard postsurgical treatment is due to the ture progression or pseudoprogression. The radiomics model based on the selected magnetic resonance imaging features was established to predict the ture progression and pseudoprogression. The radiomics model yielded the AUC value of 0.875 and 0.821 for the train set and test set, respectively. The radiomics model based on the selected contrast-enhanced T1WI features is useful in differentiating the true progression from pseudoprogression in malignant gliomas treated with concurrent radiotherapy and temozolomide chemotherapy  after the surgical resection.

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Development and Validation of a Radiomics model Based on Conventional MRI for Preoperative Prediction of Gliomas with IDH1 Mutations
Liang Han1, Yanwei Miao1, Junyi Dong1, Xiaoxin Li1, Lizhi Xie2, KaiYu Wang2, Qingwei Song1, and Ailian Liu1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China

As the most common malignant tumor in the central nervous system, glioma is characterized by low progression-free survival. Studies show that abnormal expression of isocitrate dehydrogenase 1(IDH1) is closely related with the occurrence of brain tumors, especially gliomas. Evidence suggests that gliomas with mutated IDH1 have improved prognosis compared to those with wild-type IDH1.Radiomics means the high-throughput extraction of large amounts of quantitative image features from radiographic images, including segmenting tumors, building models,  and then predicting and analyzing those massive feature data to assistphysicians. In this study, the IDH1 mutation was predicted by such radiomics modeling.

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A cluster-based diffusion spectrum analysis of diffusion-attenuated signal in glioma
Xueying Zhao1, Yan Ren2, Xiaoyuan Feng2, and He Wang1

1Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

We used a cluster-based method to investigate the diffusion-attenuated signal of glioma patients with different grades. The clustering results were analyzed by diffusion spectrum, which returns a continuous distribution of diffusion coefficient for a given attenuated signal. CSF, gray matter and white matter were clearly separated by Fuzzy C-means clustering. And some clusters showed sensitivity to interface between glioma-related tissues and normal tissues, which can be used for tumor delineation. High grade glioma tended to have clusters with smaller diffusivity and contained more types of clusters than low grade glioma.

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Testing Machine Learning Algorithms using Anisotropy Indices of Normal Appearing White Matter as Predictors of Molecular Grouping of Gliomas
Hande Halilibrahimoglu1, Korhan Polat2, Seda Keskin1, Oguzhan Aslan1, Ozan Genc2, Koray Ozduman1, Cengiz Yakicier1, Esin Ozturk Isik2, M. Necmettin Pamir1, Alp Dincer1, and Alpay Ozcan1

1Acibadem Mehmet Ali Aydinlar Univesity, Istanbul, Turkey, 2Bogazici University, Istanbul, Turkey

Grouping gliomas using the telomerase reverse transcriptase (TERT) gene and IDH mutations, and 1p/19q co-deletion status was demonstrated to be useful previously for clinical decisions. MR based radiogenomics might potentially be advantageous.

The aim of this study was to determine for the first time whether full distributions of the fractional anisotropy, relative anisotropy and ADC in normal appearing white matter were adequate predictors for machine learning algorithms to classify molecular subgroups based on TERT, IDH and 1p/19q co-deletion information.


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Integrating Machine Learning and Image Inpainting to Predict Tumour Invasion in Glioblastoma using multi-parametric MRI
Chao Li1,2,3, Pan Liu3, Shuo Wang3,4, Carola-Bibiane Schönlieb3, and Stephen John Price1

1Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 2Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3The Centre for Mathematical Imaging in Healthcare, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom, 4Department of Radiology, University of Cambridge, Cambridge, United Kingdom

The multi-parametric MRI has the potential to compensate for the non-specific contrast-enhancing imaging in delineating tumor margin. The purpose of this study was to propose a method by integrating machine learning with image inpainting to predict the glioblastoma invasion using advanced multi-parametric MRI. The predictive tumor regions using this approach showed significance for patient prognosis, in a cohort containing 115 glioblastoma patients. This approach could advance the scenario of mathematical image analysis by considering both imaging features and brain structure. The predictive region may have significant clinical impact on personalized and targeted surgical treatment of patients.

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A Transfer Learning-based Radiomics Model for Prediction MGMT Promotor Methylation Status in Glioblastoma Multiforme
Xin Chen1, Tianjing Zhang2, Zhongping Zhang2, and Zaiyi Liu3

1Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Department of Radiology, Guangdong General Hospital, Guangzhou, China

Glioblastoma multiforme (GBM) is the most common malignant brain tumor. MGMT promoter methylation is associated with beneficial chemotherapy. We extract deep features from a pre-trained deep neural network model via transfer learning and generate an effective feature vector model together with radiomics features for an optimal pretreatment prediction of MGMT promoter methylation status. The deep feature set achieved the higher predictive accuracy of 0.86 and 0.70 for validation and test group comparing to handcrafted radiomics feature and combined feature sets. The deep feature model may serve as a potential imaging biomarker for pretreatment prediction of MGMT methylation in GBM.

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Radiomics Approach for Prediction of Tumor Recurrence and Progression of Skull Base Meningioma
Ching-Chung Ko1, Yang Zhang2, Jeon Hor Chen2,3, Peter Chang2, Daniel Chow2, Tiffany Kwong2, and Min-Ying Lydia Su2

1Section of Neuroradiology, Department of Medical Imaging, Chi-Mei Medical Center, Tainan, Taiwan, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan

A subset of low grade skull base meningiomas (SBM) shows early progression/recurrence (P/R). In clinical practice, one of the main challenges in the treatment of SBM is to determine factors that correlate with P/R. This study investigated the role of radiomics for the prediction of P/R.  Sixty patients diagnosed with benign SBM were studied. Totally 99 descriptors were extracted from the various MR sequences. The prediction accuracy of P/R was 90% and the AUC of the prediction model was 0.94. Our study also noted that subsequent P/R of SBM after surgery was not associated with the completeness of tumor resection.

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Fully automated segmentation of meningiomas using a specially trained deep-learning-model on multiparametric MRI
Kai Roman Laukamp1,2,3, Frank Thiele1,4, Lenhard Pennig1, Robert Reimer1, Georgy Shakirin1,4, David Zopfs1, Simon Lennartz1, Marco Timmer5, David Maintz1, Michael Perkuhn1,4, and Jan Borggrefe1

1Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany, 2Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Radiology, Case Western Reserve University, Cleveland, OH, United States, 4Philips Research Europe, Aachen, Germany, 5Neurosurgery, University Hospital Cologne, Cologne, Germany

Volumetric assessment of meningiomas plays an instrumental role in primary assessment and detection of tumor growth. We used a specially trained deep-learning-model on multiparametric MR-data of 116 patients to evaluate performance in automated-segmentation. The deep-learning-model was trained on 249 gliomas, then further adapted by a subgroup of our meningioma patients (n=60). A second group of meningiomas (n=56) was used for testing performance of the deep-learning-model compared to manual-segmentations. The automated-segmentations showed strong correlation to the manual-segmentations: dice-coefficients were 0.87±0.15 for contrast-enhancing-tumor in T1CE and 0.82±0.12 for total-tumor-volume (union of contrast-enhancing-tumor and edema). Automated-segmentation yielded accurate results comparable to manual interreader-variabilities.

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MRI-based radiomics in pituitary adenomas: pre-treatment prediction of prolactin expression
Mo Zhanhao1, Li Xuejia1, Sui He1, and Liu Lin1

1China-Japan Union Hospital of Jilin University, Changchun, China

To investigate the potential of radiomics features based on MRI in predicting the prolactin expression of pituitary adenomas before treatment. We build the logistic model and validation, which can offer a noninvasive approach to predict the PRL expression of pituitary adenomas by the way of machine learning. It may be a reference in the diagnosis, treatment and prognosis evaluation for some pituitary adenoma subtypes.

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Improved classification of paediatric brain tumours through whole spectra from in vivo magnetic resonance spectroscopy
Dadi Zhao1,2, James T. Grist1,2, Yu Sun1,2, and Andrew C Peet1,2

1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 2Birmingham Children’s Hospital NHS Foundation Trust, Birmingham, United Kingdom

Single voxel magnetic resonance spectroscopy (SVS) is a non-invasive technique that can be used to probe metabolic activity in tumours. Previous studies have used metabolite concentrations to classify paediatric brain tumours from good quality data. However, the use of in vivo MRS whole spectra and wavelet de-noising for paediatric brain tumours have been rarely reported. In this study, we investigated the performance of spectra in classifying paediatric brain tumours by employing wavelet-based de-noising, and found significantly reduced error rate of classification based on the whole spectra, compared to that from metabolite concentrations and fits. 

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Predicting molecular subgroups of medulloblastoma using a quantitative radiomics approach
Jing Yan1, Haiyang Geng2, Binke Yuan3, Zhenyu Zhang4, and Jingliang Cheng1

1MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands, 3Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China, 4Neurosurgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Machine learning-based radiomics have been introduced in providing information on molecular biology and genomics of tumors. Here, we used features of MRI to predict molecular subgroups of medulloblastoma. MRI-based radiomics features were extracted from 37 patients with medulloblastoma (WNT = 11, SHH = 9, Group 3 = 8 , and Group 4 = 9). The molecular subgroups of medulloblastoma were classified with accepted accuracies by using support vector machine (SVM). In conclusion, MRI-based radiomics can effectively predict molecular subgroups of medulloblastoma using the machine-learning approach to benefit the treatment and prognosis of medulloblastoma.

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Presurgical Differentiation between Malignant Haemangiopericytoma and Angiomatous Meningioma by a Radiomics Approach based on Texture Analysis
Xuanxuan Li1, Yiping Lu2, Jianxun Qu3, Bo Yin2, and Daoying Geng2

1Radiology, Huashan Hospital Affiliated to Fudan University, Shanghai, China, 2Huashan Hospital Affiliated to Fudan University, Shanghai, China, 3Department of MR Research, GE Healthcare, Shanghai, China

We attempted to assess whether a machine-learning model based on texture analysis (TA) could yield a more accurate diagnosis in differentiating malignant haemangiopericytoma (HPC) from angiomatous meningioma (AM).  Our sample population consisted of 23 malignant HPCs and 43 AM.  We compared the diagnostic ability of three classifiers based on texture features extracted from each modality (T2FLAIR, T1-CE, and DWI) to the classifier based on clinical features from three neuro-radiologists. The T1W-CE classifier performed the best. 

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Deep learning for prognosis in Degenerative cervical myelopathy
Lucas Rouhier1, Matthieu Parizet1, Muhammad Ali Akbar2, Michael Weber3, Michael G. Fehlings2, and Julien Cohen-Adad1,4

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Division of Neurosurgery, Departement of surgery, University of Toronto, Toronto, ON, Canada, 3Departement of surgery, McGill University, Montreal, QC, Canada, 4Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada

Degenerative cervical myelopathy is an important cause of spinal cord dysfunction in adults worldwide 1,2. This study’s goal is to use boosting algorithm and deep learning on MRI and clinical data to predict the condition of a patient 6 months after baseline. Results show an improvement of prediction accuracy when combining MRI with clinical data (82.3%) versus with clinical data only (78.5%). The heterogeneity of the data makes it difficult for the learning algorithm to generalize, however future work exploiting boosting algorithm for structural data, and dimensionality reduction (e.g., via MRI feature extraction) could further improve prognosis accuracy.

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Automated machine learning classification of first-episode schizophrenia and controls using cerebral morphometric features
Huaiqiang Sun1, Haoyang Xing1,2, Su Lui1, Xiaoqi Huang1, Xiaoyue Zhou3, John A Sweeney1,4, and Qiyong Gong1

1Huaxi Magnetic Resonance Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2College of Physical Science and Technology, Sichuan University, Chengdu, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 4Department of Psychiatry, University of Cincinnati, Cincinnati, OH, United States

Discriminate the first-episode schizophrenia patient with optimal feature set and classification model identified by automated machine learning algorithm

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Prediction of Chronological Age from Intracranial Time-of-Flight Magnetic Resonance Angiography Images by Deep Convolutional Neural Network
Inpyeong Hwang1, Hyeonjin Kim1, and Ji-hoon Kim1

1Seoul National University Hospital, Seoul, Korea, Republic of

Brain-predicted age may be used as a potential biomarker of brain aging, and there also may be features related to cerebrovascular aging, such as decline of visualization of the arteries, or tortuosity. Therefore, the purpose of this study was to investigate whether there are learnable features by a deep convolutional neural network in the maximum intensity projection images of time-of-flight magnetic resonance angiography that might be associated with cerebrovascular aging.

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Classification of Parkinson‘s disease with diffusion magnetic resonance imaging by machine learning methods
Wenliang Fan1

1Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

The diagnosis of PD is mainly based on clinical features and does not rely on imaging biomarkers. Neuroimaging studies help us better understand the pathophysiology and symptoms of PD. The aim of this study is to investigate the feasibility and performance of the PD classification using diffusion MRI of different machine learning methods.

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Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist in the Diagnosis of Idiopathic Parkinson’s Disease
Zenghui Cheng1, Jiping Zhang2, Naying He1, Fuhua Yan1, E. Mark Haacke3, and Dahong Qian2

1Ruijin Hospital,school of medicine, Shanghai Jiaotong University, Shanghai, China, 2School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China, 3Radiology, Wayne State University, Detroit, MI, United States

There has been a major effort to study iron deposition in the substantia nigra (SN) because of its relationship to depigmentation of iron in the nigrosome-1 area. Recently, the swallow tail sign (STS) has been introduced as a new biomarker for idiopathic Parkinson’s disease (IPD). In this work, we analyzed the STS region of the SN based on quantitative susceptibility mapping (QSM) via a support vector machine (SVM) classifier and found that this radiomic approach could help to differentiate IPD patients from healthy controls.

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Evidence pinpointing of Intervertebral disc herniation with weak supervision
Fei Gao1, Shui Liu2, Xiaodong Zhang2, Jue Zhang1,3, and Xiaoying Wang2,3

1College of Engineering, Peking University, Beijing, China, 2Department of Radiology, Peking University First Hospital, Beijing, China, 3Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

Deep learning has shown encouraging performance for lesion detection, but it is limited due to the high requirement of data labeling.  In the task of lumbar intervertebral disc herniation recognition, we proposed to develop a recognition method based on axial images, which include more anatomical information about the disc, using a convolutional network. And we attempt to provide possible pathological evidence from the weakly labeled training data (normal/herniated label on image level).


Emerging Technology & Translational Imaging 1

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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Prospective Evaluation of Wave-CAIPI Susceptibility-Weighted Imaging (SWI) Compared to Conventional 3D SWI in a Clinical Setting
John Conklin1, Maria Gabriela Longo1, Stephen Cauley2, Kawin Setsompop2, John Kirsch 1, Wei Liu3, Sinyeob Ahn4, Thomas Beck5, Ramon Gonzalez1, Pamela Schaefer1, Otto Rapalino1, and Susie Huang1,2

1Radiology, Massachusetts General Hospital (MGH), Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, Charlestown, MA, United States, 3Siemens Healthineers, Shenzhen, China, 4Siemens Medical Solutions, San Francisco, CA, United States, 5Siemens Healthineers, Erlangen, Germany

We present the first large-scale evaluation of Wave-CAIPI susceptibility-weighted imaging (Wave-SWI) for clinical brain imaging. Wave-SWI was compared to conventional SWI in 107 patients undergoing 3T MRI for a range of indications in both inpatient and outpatient settings. Two neuroradiologists assessed the images in individual and head-to-head comparisons, and found no significant difference between the two sequences for detection of microhemorrhages, visualization of pathology and normal anatomy, and overall diagnostic quality, despite a nearly 5-fold decrease in acquisition time using Wave-SWI. Broader application of highly-accelerated 3D imaging may improve utilization of MRI resources while reducing motion artifacts and patient anxiety.

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Enhancing Fluorine-19 Magnetic Resonance Drug Imaging: Chemical Variations in the Fluorine Side-Groups of the Immunomodulatory Drug Teriflunomide
Christian Prinz1, Vera Martos Riaño2, Tizian-Frank Ramspoth2, Ludger Starke1, Martin Neuenschwander3, Jens-Peter von Kries3, Andreas Pohlmann1, Marc Nazaré2, Thoralf Niendorf1,4, and Sonia Waiczies1

1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine, Berlin, Germany, 2Departments of Chemical Biology and Structural Biology, Leibniz-Institut fϋr Molekulare Pharmakologie (FMP), Berlin, Germany, 3Screening Unit, Leibniz-Institut für Molekulare Pharmakologie (FMP), Berlin, Germany, 4Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany

Fluorine-19 (19F)-MR is of high relevance for the study of fluorinated drugs in vivo. Due to low drug concentrations and low numbers of fluorine atoms per molecule, the signal to be detected is very low. To address this drawback this work enhances 19F MRI of the antiinflammatory drug teriflunomide. For this purpose, derivatives of the trifluorinated drug were synthesized including modifications of the number and position of fluorine atoms in the 19F side-chains. We studied the 19F NMR characteristics and compared the SNR efficiencies of these compounds. The inhibitory activity was studied and correlated with the detectability of the compounds. By this, we can select drugs which provide a better signal than the original teriflunomide and which show an equal or even better biological activity.

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Using Glutamate-Weighted Imaging (GluCEST) to Detect Effects of Transcranial Magnetic Stimulation to the Motor Cortex
Abigail T.J. Cember1, Brian Erickson2, Olufunsho Faseyitan3, Apoorva Kelkar2, Neil Wilson1, Ravi Prakash Reddy Nanga1, Hari Hariharan1, Ravinder Reddy1, and John D. Medaglia2

1Center for Magnetic Resonance and Optical Imaging, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Psychology, Drexel University, Philadelphia, PA, United States, 3Laboratory for Cognition and Neural Stimulation, University of Pennsylvania, Philadelphia, PA, United States

We used glutamate weighted Chemical Exchange Saturation Transfer (GluCEST) imaging to investigate changes in glutamate contrast in the brains of young, healthy adults undergoing transcranial magnetic stimulation (TMS) to the motor cortex. Subjects were scanned to acquire a 2D GluCEST map of a slice which includes the motor cortex, then removed from the scanner and given continuous theta burst stimulation (cTBS). Subjects were scanned again post-stimulation. The resulting images show a trend of decreasing GluCEST contrast in the gray matter of the motor cortex where stimulation was administered. Interestingly, initial GluCEST values appear to predict response to TMS.

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Investigating gas-exchange and tissue perfusion in the human brain using a combination of proton and hyperpolarized xenon-129 MRI
Madhwesha Rao1, Graham Norquay1, and Jim Wild1

1University Of Sheffield, Sheffield, United Kingdom

This study establishes a correlation between cerebral perfusion and gas uptake using 1H arterial spin labeling and T2 weighted imaging for cerebral blood perfusion, and inhaled hyperpolarized 129Xe brain MR imaging for cerebral uptake of a free-diffusible noble gas. Using arterial transit time and cerebral blood volume maps, along with xenon images, correlation coefficients between 0.34 and 0.63 was observed for healthy subjects between the ages 26 and 36 years. The distinct properties of water and noble gas opens up the opportunity to use them in conjunction to understand aspects of brain physiology.

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Fast Field-Cycling MRI identifies ischaemic stroke at ultra-low magnetic field strength
P. James Ross1, Lionel M. Broche1, Mary Joan MacLeod2, German Guzman-Guttierez2, Alison D. Murray1, and David J. Lurie1

1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Acute Stroke Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom

In this work we present the first patient images from our home built Fast Field-Cycling MRI (FFC-MRI) scanner. By varying the external magnetic field during the imaging process, FFC-MRI allows us to probe the variation of T1 with magnetic field, known as “T1 dispersion”. This T1 dispersion has potential value as a diagnostic biomarker in a range of conditions. Here we present images demonstrating that endogenous T1 contrast at 20 mT and below can be used to identify ischaemic stroke.

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Theoretical model and experimental evaluation of cellular, BOLD and nonheme Iron contributions to the quantitative Gradient Recalled Echo (qGRE) and quantitative susceptibility mapping (QSM) signals in basal ganglia.
Dmitriy A Yablonskiy1, Jie Wen1, Satya Kothapalli1, and Alexander Sukstanskii1

1Mallinckrodt Institute of Radiology, St. Louis, MO, United States

Nonheme iron is an important element supporting the structure and functioning of biological tissues. Misbalance in nonheme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation or susceptibility features of MRI signal. Specific quantification of the nonheme iron can, however, be tempered by the heme iron in the deoxygenated blood. The goal of this presentation is to introduce theoretical background and experimental method allowing disentangling contributions of heme and nonheme irons simultaneously with evaluation of tissue neuronal density in the basal ganglia.

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How does functional brain activity depend on the underlying structural connectome? A graph signal processing perspective
Maria Giulia Preti1 and Dimitri Van De Ville1

1EPFL / University of Geneva, Geneva, Switzerland

How to integrate the information of structural connectivity and brain activity measured with magnetic resonance imaging (MRI) represents still an open question. Here, we addressed this problem by applying graph signal processing (GSP) to human brain data, aiming at exploring significant excursions of functional activity and its degree of alignment to the underlying structural connectivity. Two contrasting functional networks were highlighted: a primary sensory one, more aligned to the structure and characterized by less excursions, and a high-level cognitive one, more liberal and showing more fluctuations. This advanced framework opens new perspectives in the interpretation of the brain structure/function interplay.

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Magnetic resonance spectroscopic imaging of hyperpolarized [1-13C]pyruvate in glioblastoma: a promising tool for investigating tumor metabolism and heterogeneity.
Fulvio Zaccagna1, James T Grist1, Mary A. McLean2, Charlie J Daniels1, Frank Riemer1, Joshua Kaggie1, Surrin Deen1, Ramona Woitek1, Rolf F Schulte 3, Kieren Allinson4, Anita Chhabra 5, Marie-Christine Laurent1, Amy J Frary1, Tomasz Matys1, Ilse Patterson6, Bruno Do Carmo6, Stephan Urpsrung 1, Ian Wilkinson7, Bristi Basu8, Colin Watts9, Stephen J Price9, Sarah Jefferies8, Jonathan H Gillard1, Martin J Graves1, Kevin M Brindle2, and Ferdia A Gallagher1

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 3GE Global Research, Munich, Germany, 4Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 5Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 6Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 7Department of Medicine, University of Cambridge, Cambridge, United Kingdom, 8Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 9Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom

Glioblastomas (GBM) are characterized by diffuse infiltration, a high level of intratumoral and intertumoral heterogeneity and a very poor prognosis. Characterising tumor heterogeneity in vivo may improve diagnosis, therapy planning and treatment assessment. Dissolution dynamic nuclear polarization (DNP) is a novel technique that allows dynamic and non-invasive assessment of the metabolism of hyperpolarized (HP) 13C-labelled molecules in vivo, such as the preferential exchange of [1-13C]pyruvate to [1-13C]lactate within tumors (Warburg effect). In this study we explore metabolic reprogramming within glioblastoma (GBM) and its microenvironment using HP [1-13C]pyruvate to demonstrate the heterogeneity of pyruvate’s metabolic fate.

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3D-QALAS Sequence for Brain Volumetry and Cortical Thickness: Comparison with 3D MPRAGE and Scan-Rescan Repeatability
Shohei Fujita1, Akifumi Hagiwara1,2, Masaaki Hori1, Fukunaga Issei1, Christina Andica1, Tomoko Maekawa1,2, Ryusuke Irie1,2, Koji Kamagata1, Kanako K Kumamaru1, Akihiko Wada1, and Shigeki Aoki1

1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan

Previous quantitative synthetic MRI of the brain has been solely performed in 2D. Here, we evaluated the feasibility of the recently developed 3D-QALASsequence for brain cortical thickness and volumetric analysis in healthy volunteers. 3D-QALAS and MPRAGE were performed twice and once, respectively, in the same session at 1.5 T. FreeSurfer and FIRST were used to measure cortical thickness and volume of subcortical structures, respectively. High agreement with MPRAGE and scan-rescan repeatability in both cortical thickness and subcortical structures were shown. 3D-QALAS could be reliably used for measuring cortical thickness and subcortical volumes in most brain regions.

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A Non-Intrusive Eye Tracking Based MRI Compatible VR System
Kun Qian1, Tomoki Arichi1, Jonathan Eden2, Sofia Dall'Orso2, Rui Pedro A G Teixeira1, Kawal Rhode1, Mark Neil3, Etienne Burdet2, A David Edwards1, and Jo V Hajnal1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department of Bioengineering, Imperial College London, London, United Kingdom, 3Department of Physics, Imperial College London, London, United Kingdom

Achieving compatibility of VR systems with MRI scanners is challenging and for applications such as fMRI, it is highly desirable to avoid local distortions of the static magnetic field. We have developed a non-intrusive MR compatible VR system which avoids disturbing the magnetic environment and uses eye tracking as the main interface. Our system demonstrates a capability to bring the VR world into MRI systems, including dynamic interaction with VR content based on gaze, with performance that it is competitive to the current leading commercial gaming eye tracker.  

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Preliminary Research of ischemic penumbra in human subacute stroke patients combinating use of amide proton transfer (APT) Chemical Exchange Saturation Transfer (CEST) and arterial spin-labeling (ASL) MRI
Yuefa Tan1, Bin Chen1, Yingjie Mei2, and Yikai Xu1

1Department of Medical Imaging Center, Nanfang Hospital,Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China

The purpose of this word was to explore the feasibility of amide proton transfer(APT) assisting arterial spin-labeling(ASL) and diffusion-weighted imaging(DWI) in identiflication and definition of ischemic penumbra in subacute stroke .Our results showed that APTWI deficits were always larger than or equal to DWI deficits and smaller than or equal to ASL-CBF deficits in subacute stroke. ATPWI deficits coincided with the resulting infarct area at follow-up endpoint. Final infarcts were smaller than CBF deficits and larger than or equal to subacute DWI deficits.APT can provide information complementary on cell metabolism to ASL and DWI in the definition of ischemic tissue.

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Accelerated quantification of ultrashort-T2 brain components with ultrashort-TE relaxometry
Nikhil Deveshwar1, Peng Cao1, Shuyu Tang1, Duan Xu1, and Peder E.Z. Larson1

1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

This study presents accelerated quantification of the ultrashort-T2 components in the brain with approximately 4-fold reduction in scan time.  Retrospective undersampling across 5 healthy volunteers showed strong correlations between the ultrashort-T2 component amplitude, relaxation times, and frequency shifts between 8 TE and 32 TE datasets, showing that it is possible to rapidly obtain high quality images of brain ultrashort T2 components that are associated with myelin membrane protons. 

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Cerebral venous thrombus staging in a single magnetic resonance (MR) scan: A dual-contrast approach
Yunduo Li1, Shuo Chen1, Zechen Zhou2, Miaoqi Zhang1, Rui Li1, and Chun Yuan1,3

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Philips Research North America, Cambridge, China, 3Department of Radiology, University of Washington, Seattle, WA, United States

This study proposed a dual-contrast Volumetric Isotropic Turbo spin echo Acquisition (dVISTA) sequence that allows both T1 and T2 cerebral venous thrombus imaging. In-vivo experiments indicated that dVISTA provide adequate image contrast as conventional T1/T2 imaging, and the clinical feasibility of this technique was further validated by CVT patients’ scan. By assembling flow-suppression, T1/T2 contrast in one 6-min whole brain scan, dVISTA has the potential to detect and differentiate thrombus in clinical routine.

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A high-resolution multi-parametric quantitative method to investigate tissue (micro)structure
Ana-Maria Oros1, Melissa Schall1, and N. Jon Shah2,3,4,5

1Institute of Neuroscience and Medicine, Research Centre Juelich, Juelich, Germany, 2JARA-BRAIN-Translational Medicine, Research Centre Juelich, Aachen, Germany, 3Institute of Neuroscience and Medicine (INM-11, JARA), Research Centre Juelich, Juelich, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany, 5Institute of Neuroscience and Medicine (INM-4), Research Centre Juelich, Juelich, Germany

We report on a multi-parametric quantitative method based on four 1x1x2mm3 3D multiple-echo gradient-echo acquisitions (GRE), complemented by AFI for B1+ mapping (whole-brain TA=21min). The most notable parameters derived are water content, T1 and T2*, magnetization transfer ratio (MTR), bound proton fraction (fbound) and magnetization exchange rate (kex). Results are reported from seven volunteers, one post-mortem brains and one tumour patient.  The use of multiple contrasts for tissue segmentation is illustrated. Correlations between parameters are investigated with the aim of better understanding sources of T1 relaxation. f_bound and k_ex are found to be lower in tumour than in healthy tissue.

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Online brain fMRI using a novel magnetic resonance compatible hand induced robotic device provides accurate monitoring and can be used in rehabilitation
Zeba Qadri1,2, Loukas Astrakas1,2, Lawrence Wald2, Michael Moskowitz 2,3, Bruce Rosen2, and Aria Tzika1,2

1NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 3Neuroscience Center, Departments of Neurology and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States

Using a hand motor task, we investigated brain activation after chronic stroke by combining fMRI at 3T with a novel MR-compatible hand-induced, robotic device (MR_CHIROD). Patients trained at home using a gel ball; serial neuroimaging was performed before, during, upon completion of training, and after a non-training period, to assess permanence of effects. Training significantly increased the number of activated voxels in the cortex as a function of effort level, suggesting functional cortical plasticity in chronic stroke. The result’s persistence indicates permanence of rehabilitation, which is remarkable given that training is generally effective during a narrow window after stroke. 

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Synthetic harmonization of multi-site multi-vendor MRI data to improve MS lesion segmentation
Snehashis Roy1, Blake Dewey2, Peter Calabresi3, John A Butman4, and Dzung L Pham1

1Center for Neuroscience and Regenerative Medicine, Henry Jackson Foundation, Bethesda, MD, United States, 2Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Radiology and Imaging Sciences, National Institute of Health, Bethesda, MD, United States

Segmentation of lesions from magnetic resonance images of patients with multiple sclerosis is a challenging task, especially when involving multi-center or multi-scanner data. State-of-the-art lesion segmentation algorithms require training data to use identical acquisition protocols as the input data, but this is often difficult to control. In this work, we employ image synthesis to allow data from one scanner to resemble the data acquired in a different scanner. Overall lesion segmentation accuracy improves and the amount of false positives are reduced using synthesized images, indicating image synthesis can improve segmentation consistency in a heterogeneous dataset.

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Ex-vivo diffusion MRI of human hemispheres: the effect of tissue fixation and the relation to in-vivo diffusion MRI
Arnold Moya Evia1, Yingjuan Wu2, David A Bennett1,3, and Konstantinos Arfanakis1,2,4

1Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States, 2Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 3Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States, 4Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, United States

Until the relationship between in-vivo and ex-vivo diffusion measures has been established, the clinical relevance of findings using ex-vivo diffusion MRI is unclear and precludes potential studies. Therefore, this study investigated the effects of tissue fixation on basic diffusion measures, and established the relationship of diffusion measures recorded in-vivo and ex-vivo. Basic diffusion measures of postmortem hemispheres were observed over 5 weeks. The relationship between in-vivo and ex-vivo diffusion measures was studied using linear mixed regression. Appreciable changes to diffusion measures were seen early on in fixation, and ex-vivo measurements of FA and RD were linked to their in-vivo measurements.

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Improved Structural Imaging of the Default Mode Network on the Compact 3T
Thomas Welton1, Matthew Lyon1, Jerome J Maller1,2, Myung-Ho In3, Ek-Tsoon Tan3, Matt A Bernstein4, Erin M Gray4, Yunhong Shu4, John Huston4, and Stuart M Grieve1,5

1Sydney Translational Imaging Laboratory, Heart Research Institute, University of Sydney, Sydney, Australia, 2GE Healthcare, Richmond, Melbourne, Victoria, Australia, 3GE Global Research, Niskayuna, NY, United States, 4Department of Radiology, Mayo Clinic, Rochester, MN, United States, 5Department of Radiology, Royal Prince Alfred Hospital, Sydney, Australia

We compared diffusion MRI tractographic representations of the default mode network using high-angular resolution scans from the Compact 3T with high-performance gradients to equivalent data acquired on a standard clinical scanner. Overall performance in terms of strength, accuracy and visualisation of the DMN was superior for the Compact 3T data, with improved global tracking performance and improved measurement of weaker connections.

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Semi-automatic cloud-based workflow for evaluating the central vein sign for MS diagnosis in a multicenter clinical setting
David Moreno-Dominguez1, Marc Ramos1, Daniel S Reich2, Daniel Ontaneda3, Paulo Rodrigues4, and Pascal Sati2

1Neuroimaging, QMENTA Inc., Barcelona, Spain, 2Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 3Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, Cleveland, OH, United States, 4QMENTA Inc., Barcelona, Spain

The central vein sign (CVS) is novel MRI marker for improving the accuracy and reducing the time to diagnose patients with multiple sclerosis (MS).  Recent advancements have introduced the MRI FLAIR* contrast, allowing for CVS to be easily identified. In this work, we developed a semi-automatic cloud-based workflow for evaluating the clinical value of the CVS for MS diagnosis using FLAIR* in a multicenter setting. This novel workflow is a powerful tool that has the potential to significantly accelerate the clinical research imaging studies in MS.

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Initial experience of imaging stroke patients with a 5-minute whole head multi-echo GRE acquisition
Junmin Liu1, Luciano Sposato2, Spencer D Christiansen1,3, and Maria Drangova1,3

1Imaging Research Laboratories, Robarts Research Institute, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada, London, ON, Canada, 2Department of Clinical Neurological Sciences, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada, London, ON, Canada, 3Department of Medical Physics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada, London, ON, Canada

We report on our initial experience of imaging stroke patients using a technique that achieves quantification of fat fraction (FF), QSM, and R2* simultaneously from a single multi-echo GRE (mGRE) acquisition. We collected 3T data from three stroke patients with a ~ 30-minute whole head multi-sequence protocol. By performing the joint analysis of TOF MRA, DWI, FLAIR and mGRE, we evaluated the capability of using the mGRE-based maps and images to characterize thrombus, differentiate intracranial calcifications from hemorrhages and detect white-matter lesions. Our initial results have shown the feasibility of using the mGRE technique to image stroke patients.

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Towards a harmonized protocol for structural MRI imaging of the brain for multisite studies in the Italian IRCCS advanced neuroimaging network
Paolo Bosco1, Laura Biagi1, Alessandra Retico2, Anna Nigri3, Domenico Aquino3, Fulvia Palesi4, Maria Grazia Bruzzone3, Claudia A.M. Gandini Wheeler-Kingshott5,6,7, Michela Tosetti1, and The Italian IRCCS advanced neuroimaging network8

1IRCCS Fondazione Stella Maris, Pisa, Italy, 2INFN, Pisa Division, Pisa, Italy, 3Fondazione IRCCS Istituto neurologico “Carlo Besta”, Milan, Italy, 4Radiology Department, IRCCS Fondazione Mondino, Pavia, Italy, 5Brain MRI 3T Research Center, IRCCS Fondazione Mondino, Pavia, Italy, 6Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 7Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 8The Italian IRCCS advanced neuroimaging network, Milan, Italy

MRI derived brain structural measurements from multicenter datasets can strongly be affected by factors such as the acquisition protocol, the static magnetic field strength and the scanner manufacturer. A preliminary study was performed to assess the homogeneity of population metrics from 3DT1 scans acquired with already established routine protocols in a dataset of 174 healthy subjects from 18 Italian Research Hospital Centers (IRCCS). The impact of each center acquisition parameters on outcomes was assessed with quality control measurements and FreeSurfer volumetric metrics of cortical and subcortical structures. Future multicenter studies will benefit from harmonizing the acquisition protocols.

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3D printed, patient-specific vascular models for 4D flow MRI: production workflow and imaging aneurysm treatment
Mariya S. Pravdivtseva1, Eva Peschke1, Thomas Lindner1, Olav Jansen2, and Jan Bernd Hövener1

1Neuroradiology and Radiology, Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, 2Neuroradiology and Radiology, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany

Patient-specific models of the human vessels could be used for the different purposes varying from the visualization of a vasculature to examination of a strategy of the endovascular treatment.

Current work represents a step by step workflow of the production of vascular models: optimisation of the geometry of the digital model, design of the connectors, wall thickness of the model etc. The flow in the models was compared with in vivo flow data of the patient.

The influence of different flow diverter stents on the flow in the model with an aneurysm was evaluated with MRI (TOF and 4D Flow).      


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Improved imaging method for comprehensive diagnosis of cervical artery disssection
Hong-Wei Zhou1, Dezheng Kong1, Linjing Wang1, Tianjing Zhang2, and Zhongping Zhang2

1Jilin University First Hospital, Changchun, China, 2Philips healthcare, Changchun, China

Cervical artery dissection (CAD) is a significant cause of ischemic stroke in young adults. As a result, the early and accurate diagnosis of CAD is helpful for appropriate treatment decision-making to prevent stroke. Traditional imaging methods, such as CTA, MRA or DSA are difficult to differentiate CAD from other mimics because of similar luminal findings1,2. 3D T1-weighted black blood sequence would demonstrate the abnormality of vessel wall and could potentially provide diagnosis information for vasculopathy patients. This study aims at introducing a 3D black-blood sequence’s application in the diagnosis of CAD, as well as atypical artery dissection.

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Optimisation of QSM measurements of venous oxygen saturation
John McFadden1, Julian Matthews2, Maélène Lohézic3, Geoff JM Parker1, and Laura Parkes1

1Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, Stopford Building, University of Manchester, Manchester, United Kingdom, 2Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The Wolfson Molecular Imaging Centre, University of Manchester, Manchester, United Kingdom, 3Applications and Workflow, GE Healthcare, Manchester, United Kingdom

Quantitative Susceptibility Mapping has been shown to be capable of making estimates of venous oxygen saturation ($$$Y_v$$$) which are comparable to those obtained using MR methods such as calibrated BOLD. While there have been a few studies which have considered optimal acquisition parameters for QSM1,2 none have focussed on the specific case of deoxyhaemoglobin. In this work, we propose a protocol for which voxel dimensions, final echo time, and readout polarity have been optimised. Demonstrations of reasonably precise estimates of which are in line with the broader literature recommend suitability of the protocol for future studies.

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High-quality FLAIR and diffusion imaging with presence of EEG nets
Nina Fultz1, Catherine Poulsen 2, Michael Lev3, Avery Berman 1,4, Jingyuan E. Chen 1,4, Giorgio Bonmassar1,4, and Laura D. Lewis 1,4,5

1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Philips, Eugene, OR, United States, 3Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Department of Biomedical Engineering, Boston University, Boston, MA, United States

EEG nets are typically removed before MR imaging due to their negative effects on image quality, which is time-consuming and interrupts monitoring of brain activity. We tested whether the InkNet, a high-resistance polymer thick-film based EEG net, could improve images by reducing RF-shielding caused by copper leads. We imaged subjects with FLAIR and diffusion at 3 Tesla, wearing a conventional, copper-lead net, the InkNet, or no EEG net (NoNet). The InkNet induced less artifact than conventional nets, and produced similar image quality to the NoNet control. Results suggest that high-quality imaging can be achieved while wearing an EEG net.


Epilepsy

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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Corpus callosum involvement in mesial temporal lobe epilepsy and non lesional frontal lobe epilepsy: a multimodal MRI study
Maria Eugenia Caligiuri1,2, Angelo Labate3, Aldo Quattrone1,2, and Antonio Gambardella3

1Neuroscience Research Center, University Magna Graecia of Catanzaro, Catanzaro, Italy, 2Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Catanzaro, Italy, 3Institute of Neurology, University Magna Graecia of Catanzaro, Catanzaro, Italy

Mesial Temporal Lobe Epilepsy (MTLE) and Frontal Lobe Epilepsy (FLE) are the two most common forms of partial epilepsy. While MTLE has been widely studied, FLE has been less investigated. Patients with FLE in which there is no clearly identifiable abnormality on MRI (non lesional FLE, nlFLE) represent an ideal sample to study the epileptic syndrome itself, regardless of the nature and location of the epileptogenic focus in the frontal lobe. Here, we studied the involvement of the corpus callosum in temporal and frontal lobe epilepsy, considering non-lesional FLE, refractory MTLE and mild MTLE, a particularly drug-responsive phenotype. Neuroimaging characteristics of CC seem to be indeed altered with patterns that are specific to the different epileptic syndromes.

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Voxel Based Morphometry in Temporal Lobe Epilepsy: a pilot study using MT maps instead of conventional T1-weighted data
Fulvia Palesi1, Paul Eugene Summers1, Claudia A.M. Gandini Wheeler-Kingshott2,3,4, Giancarlo Germani1, Valeria Mariani5, Laura Tassi5, and Paolo Vitali1

1Neuroradiology Unit, Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy, 2Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 3Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 4Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy, 5”C.Munari” Epilepsy Surgery Centre, ASST Ospedale Metropolitano Niguarda, Milan, Italy

Temporal Lobe Epilepsy (TLE) is the most common form of focal epilepsy. Neuroimaging and neuropathological studies indicates that the structural network affected in TLE extends to both temporal and extra-temporal structures. In this work, quantitative 3DMT maps were used in a Voxel Based Morphometry(VBM) framework to assess atrophy in left and right TLE compared to controls. Our findings revealed that 3DMT maps, thankfully to their excellent grey-white matter contrast, can be successfully employed for VBM in epilepsy identifying temporal and extra-temporal grey and white matter alterations in patients. This study is a proof-of-principle to adopt 3DMT for voxel based analysis in TLE.

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Comparative analysis of Mean Apparent Propagator (MAP)-MRI and traditional DTI for the diagnosis of hippocampal sclerosis in temporal lobe epilepsy
Keran Ma1, Jingliang Cheng1, Xiaonan Zhang1, Ankang Gao1, Chengru Song1, Shaoyu Wang2, Xu Yan2, and Huiting Zhang2

1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, Shanghai, China

This study aimed to preliminarily investigate the utility of MAP-MRI parameters in hippocampal sclerosis and compare them with traditional DTI parameters to explore the changes in hippocampal microstructure and understand its pathophysiological mechanisms. The swelling of the hippocampal nerve fiber axon presynaptic terminal can be reflected by MAP-MRI, which greatly assists in the clinical diagnosis of early hippocampal sclerosis. Compared with DTI parameters, DSI parameters showed higher diagnostic efficacy particularly for RTPP and QIV. This study extracted more objective and reproducible parameters of fixed hippocampal sclerosis. More samples are needed for future research.

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Community-informed connectomics of the thalamo-cortical system in idiopathic generalized epilepsy
Zhengge Wang1, Sara Lariviere2, Qiang Xu1, Reinder Vos de Wael2, Seok-Jun Hong2, Zhongyuan Wang1, Xu Yun1, Bin Zhu1, Neda Bernasconi2, Andrea Bernasconi2, Bing Zhang1, Zhiqiang Zhang1, and Boris C Bernhardt2

1The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 2McGill University, Montreal, QC, Canada

Idiopathic generalized epilepsy with tonic-clonic seizures (IGE-GTCS) has been associated to the thalamo-cortical circuitry. By quantifying the interplay between macroscale functional communities via resting-state fMRI (rs-fMRI) connectome analysis, we assessed the intrinsic organization of this network and its relation to drug-response.   Compared to controls, IGE-GTCS showed a more constrained network embedding of the thalamus, while frontocentral neocortical regions expressed increased functional diversity. Findings remained significant after regressing out thalamic volume and cortical thickness, suggesting independence from structural alterations. We observed more marked network imbalances in drug-resistant compared to seizure-free patients.  Our findings suggest a pathoconnectomic mechanism of IGE, centered on diverging changes in cortical and thalamic connectivity. More restricted thalamic connectivity could reflect the tendency to engage in recursive thalamo-cortical loops, which may contribute to hyper-excitability. 

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Mapping astroglial glutamine synthetase activity in vivo in a preclinical model of epilepsy using glutamate-weighted CEST (GluCEST) MRI
Puneet Bagga1, Stephen Pickup1, Julien Flament2, John Detre3, Hari Hariharan1, and Ravinder Reddy1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Molecular Imaging Research Center (MIRCen), Paris, France, 3Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States

Epilepsy is broadly characterized by aberrant neuronal excitability causing seizures. Glutamate is the major excitatory neurotransmitter in the brain and can be detected using MRS and glutamate weighted chemical exchange saturation transfer (GluCEST) MRI. In this study, we performed high-resolution GluCEST MRI in a preclinical model of epilepsy to evaluate glutamatergic alterations in the hippocampus. GluCEST contrast was increased in the hippocampus of mice treated with methionine sulfoximine acutely, while mice treated chronically with MSO showed reduced hippocampal GluCEST contrast. The GluCEST results were also corroborated with in vivo 1H MRS.

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Diagnostic value of signal intensity histogram analysis based on magnetic resonance cube sequence on hippocampal sclerosis in temporal lobe epilepsy
liu fan1, SONG FAN1, WANG YING1, SUN BO1, miao yan wei1, dong jun yi1, li xiao xin1, qiu jia1, and song qing wei1

1The First Affiliated Hospital of Dalian Medical University, DALIAN, China

Hippocampal sclerosis(HS)is the most common pathological form of medial temporal lobe epilepsy, characterized by loss of hippocampus and related structural selective neurons and reactive gliosis. With magnetic resonance(MR) imaging, the detection rate for HS has been found to vary largely and such substantial variations in the detection rate have been primarily attributed to the subjective nature of the assessment of scans. Texture analysis is a technique used to quantify image textures

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A comparison of high b-value and standard b-value diffusion weighted imaging for status epilepticus in pediatric patients
Haiwei Han1 and Hua Wu2

1Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China, 2Department of Nuclear Medicine and Minnan PET Center, The First Affiliated Hospital of Xiamen University, Xiamen, China

In this study series with status epilepticus (SE) pediatric patients, we investigated the utility diffusion weighted magnetic resonance imaging with a high b-value (b = 3000 s/mm2) compared with standard b-value (b = 1000 s/mm2) for acute ictal MRI changes in pediatric patients. High b-value diffusion weighted imaging (DWI) could be beneficial for detecting additional lesions and improving the contrast between lesions and normal tissue. Therefore, high b-value DWI may be a better noninvasive imaging method for exploration of the acute ictal MRI changes in pediatric patients with SE.

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Altered Cortex-Subcortex structural connectivity pattern in different types of generalized epilepsy
Qiang Xu1, Xinyu Xie1, Zhiqiang Zhang1, and Guangming Lu1

1Radiology, Jinling hospital, Nanjing, China

Different types of GTCS could be explained by the different brain network. Cortex-subcortex structural covariate connectivity might help us to understand the mechanism in the new insight. Thalamus was the important regions in classification the two types of GTCS.

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Mapping brain oxygen metabolism with dual calibrated fMRI in pre-surgical evaluation of epilepsy: a case report comparison with FDG-PET.
Hannah L Chandler1,2, Michael Germuska1, Rhodri Smith2, Patrick Fielding 2, Christopher Marshall2, Khalid Hamandi3, and Richard G Wise1

1Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 2Wales Research and Diagnostic PET Imaging Centre, Cardiff, United Kingdom, 3Welsh Epilepsy Unit, Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom

Positron emission tomography (PET) with fluorodeoxyglucose (FDG) is a widely used approach to help identify putative epileptogenic areas in patients with epilepsy, as part of the epilepsy surgery evaluation. Epileptogenic areas typically show a regional reduction in glucose metabolism. Here we present a dual-calibrated fMRI method (acquiring BOLD and ASL CBF data simultaneously), which permits mapping of the cerebral metabolic rate of oxygen consumption noninvasively across grey matter. In this case report, we demonstrate close agreement between the two methods (dc-fMRI and PET-FDG) in localising a region of cerebral hypometabolism in epilepsy.

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Cortical and subcortical networks in frontal lobe epilepsy with generalized tonic clonic seizures
xinyu xie1, qiang xu1, zhiqiang zhang1, and guangming lu1

1jinling hospital, nanjing, China

Cortico-subcortical networks are considered core pathologic substrates for frontal lobe epilepsy with generalized tonic clonic seizures; however, the mechanism is still unknown. This study aims to identify the changes of cortico-subcortical networks by resting-state functional connectivity. 60 patients with frontal lobe epilepsy and healthy controls were enrolled. Bilateral hemispheres were divided into 5 nonoverlapping cortical lobes. Functional connectivity between each cortical lobe and the subcortical regions were calculated, and functional connectivity strength was used to evaluate the interconnectivity. Our results indicate that the decrease connection between prefrontal cortex and subcortical structures suggests it maybe the epicenters of frontal lobe epilepsy.

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Based on MR-T2WI Haar-like and MB-LBP Features findings of temporal lobe glioma-related epilepsy
ankang Gao1, Jie Bai1, Jingliang Cheng1, and Yuan Hong2

1Dept. of MRI, The First Affiliated Hospital of Zhengzhou University, ZhengZhou, China, 2Department of mathematics, Zhe Jiang University, HangZhou, China

There are many other strong risk factors for glioma-related epilepsy that have been highlighted in previous research, including high levels of glutamate and adenosine kinase and low levels of gamma-aminobutryic acid. How the value machine vision application of study on this?

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Morphology Analysis of Dilated Virchow Robin Spaces in Simple Febrile Seizure Children Between 12 and 48 Months Based on the Automated Segmentation
Mustafa Salimeen1, Xianjun Li1, Miaomiao Wang1, Congcong Liu1, Habib Tafawa1, Anuja Pradhan1, Martha singh1, Xiaocheng Wei2, Guanyu Yang3, and Jian Yang1,4

1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, 2MR research china, GE health care, Beijing, China, 3Xi’an AccuRad Network and technology Co. Ltd., Xi’an, China, 4Department of Biomedical Engineering, School of Life Science and Technology, Xi’an, China

Febrile seizure (FS) has become a common problem in childhood and imposes acute effects on the brain. Currently dilated Virchow -Robin spaces (dVRs) has become hot point in research for the explanation the mechanism how its involving brain in inflammatory lesions. we conducted a quantitative method to assessment dVRs that visible onT2WI in simple FS.  Our study aim is to describe an effective uses of automatic software method to recognize VRs and to get intergroup differences. Our result suggests that dVRs count, volume and head circumference are greater simple FS than in the control group.

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The gray matter volume and shape abnormal in angelman syndromes
Lei Wei1, He Wang1, Xiaonan Du2, Shasha Long2, Baofeng Yang1, Yonghui Jiang3, Jianfeng Feng1, and Yi Wang2

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, shanghai, China, 2Neurology Department, Children's Hospital of Fudan University, shanghai, China, 3Duke Institute for Brain Science, Duke University, Durham, NC, United States

The angelman syndromes is a neurogenetic disease and clinically characterized by the developmental delay, movement or balance disorder, seizures, and frequent smiling.  Our study  compare the alteration of gray matter volume and shape between angelman syndromes and healthy controls 

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Detection of Focal Cortical Dysplasia via quantitative T1-mapping
Ulrike Nöth1, René-Maxime Gracien2, Michelle Maiworm3, Philipp Reif2, Elke Hattingen3, Susanne Knake4, Marlies Wagner3, and Ralf Deichmann1

1Brain Imaging Center (BIC), Goethe University Frankfurt, Frankfurt am Main, Germany, 2Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany, 3Department of Neuroradiology, University Hospital Frankfurt, Frankfurt am Main, Germany, 4Epilepsy Center Hessen, University Hospital Marburg, Marburg, Germany

Focal cortical dysplasias (FCD) are characterized by an increased cortical thickness and blurred junctions between white (WM) and gray matter (GM). A method for improved FCD detection is proposed, which is only based on quantitative maps of T1 relaxation time. Masks of WM, GM and CSF are derived from the measured T1 values. The local cortical extent (CE) is calculated from the GM mask and the local smoothness (SM) of GM-WM junctions is derived from the T1 gradients. Synthetic double inversion recovery data sets are calculated from the T1 map and further enhanced in areas of increased CE and SM.

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Sub-millimeter blood flow mapping of cortical and hippocampal gray matter
Roy AM Haast1, Dimo Ivanov2, Jordan DeKraker1,3, Sriranga Kashyap2, Shanice EW Janssens2, Benedikt A Poser2, Ali R Khan1,3,4, and Kamil Uludag2,5

1Centre for Functional Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada, 2Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 3Brain and Mind Institute, University of Western Ontario, London, ON, Canada, 4Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada, 5Center for Neuroscience Imaging Research, Institute for Basic Science (IBS) & Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

Acquisition of sub-millimeter whole-brain blood flow (CBF) maps was recently demonstrated to be feasible using 7T MRI. Here, we show that such high resolution CBF maps can be used to differentiate cortical regions, in general, and subregions within the hippocampal formation, in particular. We found that higher baseline perfusion was especially present in regions known to be highly myelinated and/or characterized by low quantitative T1 values. Moreover, these initial results warrant the use of CBF data to improve the interpretability of fMRI activation maps at a finer scale.

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Cortical FoldingPrint for Individual Identification During Dynamic Postnatal Development
Dingna Duan1,2, Shunren xia1, Zhengwang Wu2, Fan Wang2, Li Wang2, Weili Lin2, John H Gilmore 3, Dinggang Shen2, and Gang Li2

1Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China, 2Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Human cortical folding is highly convoluted and characterizes the inter-subject variability. Recent studies found that the adult brain cortex is unique for individual identification. However, little is known about whether the infant brain cortex, which develops dynamically in the first postnatal years, is reliable for individual identification. To this end, we proposed a novel morphological folding descriptor, called FoldingPrint, to perform the infant identification in a large longitudinal dataset with 472 infants. Successful identification results indicate the effectiveness of the proposed FoldingPrint. In addition, we found that the regions with high identification accuracy are mainly distributed in high-order association cortices.

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Surfaces Area and Cortical Volume Development of Infant Transverse Temporal Cortex Influenced by Preterm Birth
Xianjun Li1, Jing Xia2, Jian Chen2, Li Wang2, Miaomiao Wang1, Congcong Liu1, Mengxuan Li1, Xiaocheng Wei3, Gang Li2, Dinggang Shen2, and Jian Yang1

1Department of Radiology, the First Affiliated Hospital, Xi’an Jiaotong University, Xi'an, China, 2Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3MR Research China, GE Healthcare, Beijing, China

Development of transverse temporal cortex is essential for speech perception in infants. However, the early morphological development of this cortex has not been fully understood. Additionally, influences of preterm birth on cortical development remain to be investigated. This study assessed cortical development of transverse temporal cortex in preterm and term infants based on surface reconstruction. We found that surface area and cortical volume of transverse temporal cortex underwent rapid changes. Term infants held higher surface area, cortical volume, and asymmetry than preterm infants. These results suggest that preterm birth influences the asymmetry and developmental trajectory of transverse temporal cortex.

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Hippocampal subfield segmentation and partial volume effects - reliability assessment
Arturo Cardenas-Blanco1,2, Yi Chen2, Jose-Pedro Valdes-Herrera3, Renat Yakupov1, Hendrik Mattern4, Alessandro Sciarra4, David Berron5, Anne Maass1, Oliver Speck1,4,6,7, and Emrah Duezel1,2

1German center for neurodegenerative diseases (DZNE), Magdeburg, Germany, 2Institute of cognitive neurology and dementia research, Magdeburg, Germany, 3Aging & Cognition Research Group, German center for neurodegenerative diseases (DZNE), Magdeburg, Germany, 4Department of Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany, 5Department of clinical sciences, Clinical memory research unit, Malmoe, Sweden, 6Center for Behavioral Brain Sciences, Magdeburg, Germany, 7Leibniz Institute for Neurobiology, Magdeburg, Germany

The hippocampus is involved in a variety of cognitive and functional tasks. Research groups rely on volumetric segmentations to assess: the integrity of the HC and its subfields as well as their involvement in cognitive tasks. Unfortunately, due to its size and location, most studies use non-isotropic T2-weighted images to segment the HC. The aim of this project is to determine whether partial volume effects due to T2-weighted slice angulation and non-isotropic resolution have an impact in the segmentation process. The results indicate that both, angulation and non-isotropic acquisition have a significant impact in specific subfields.

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Three-dimensional reconstruction and dissection of hippocampal fiber pathways with human connectome data
Jing Li1,2, Zifei Liang2, Weihong Zhang1, Thomas W. Wisniewski2, Jiangyang Zhang2, and Yulin Ge2

1Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China, 2New York University School of Medicine, New York City, NY, United States

The hippocampus plays a vital role in learning and memory and consists of multiple subfields with distinct functional pathways. Despite many volumetric investigations, in vivo human studies on hippocampal pathways remain scarce. In this study, we show that the Perforant, Alveus/Fimbria, and CA1-Subiculum pathways can consistently reconstructed from the Human Connectome Project (HCP) diffusion MRI dataset aided by automated brain and hippocampal subfield segmentation methods. This demonstrates the feasibility of in vivo mapping of the major hippocampal pathways at 3T, which may lead to new research avenue of the functional pathways of hippocampus in normal and disease states.

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Asymmetry of hippocampus vasculature in temporal lobe epilepsy
Rebecca Emily Feldman1, Gaurav Verma1, Stephanie Sian Gabriella Brown1, John Watson Rutland1, Madeline Cara Fields2, Lara Vanessa Marcuse2, Bradley Neil Delman2, and Priti Balchandani1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Epilepsy is a chronic and prevalent disease. When epilepsy is drug resistant, resection of epileptogenic abnormalities may control seizures. However, there exist focal epileptogenic abnormalities which are not well visualized by current imaging techniques. Hippocampal vascularity has yet to be explored as an in vivo marker for the epileptic brain. Using susceptibility weighted imaging at 7T MRI we are able to visualize vessels in the hippocampus, and have automatically segmented the vessels in the hippocampus of 19 patients with temporal lobe epilepsy and 19 healthy controls. We found significant asymmetry in the vessel density in patients with epilepsy when compared against healthy controls.

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Functional connectivity changes of nucleus accumbens subdivisions in left mTLE patients
Ru Yang1, Wenhan Yang1, Jun Liu1, and Xixi Zhao2

1Department of Radiology, The second Xiangya Hospital, Central South University, Changsha, China, 2Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China

 Within the nucleus accumbens(NAC) there is a clear distinction between the shell and core portions. Growing evidences have supported that the NAC, especially its shell portion has been involved in epileptogenesis. However relevant studies on vivo human brains are quite limited. in this study, we investigated Left mTLE related function connectivity changes of NAC subregions . Our result indicated an decrease in FC between left shell and right frontal area and an increase FC between right shell and left temporal area. But no significant FC changes appear on core, which suggest that shell portion play important roles on mTLE. 

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Dilatation of Virchow-Robin Spaces is An Acute Phase Response in Children with Epileptic Seizure
Tafawa Habib1, Mustafa Salimeen1, Xianjun Li1, Guanyu Yang2, Anuja Pradhan1, Martha Singh1, Lu Gao1, Miaomiao Wang1, Congcong Liu1, and Jian Yang1,3

1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, 2Xi’an AccuRad Network and Technology Co.Ltd., Xi’an, China, 3Department of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiao tong University, Xi’an, China

Dysfunction of Virchow -Robin spaces (VRS) has become an exciting avenue of research for the exploration of the pathophysiology involving CNS neurodegenerative and neuroinflammatory disorders. To investigate the pathophysiological link of the dilated VRS (dVRS) in children with epilepsy, we conducted semiquantitative and quantitative assessment of dVRS visible on standard 3.0T magnetic resonance imaging (MRI) in children with clinical history of symptomatic generalized tonic clonic, clonic or myoclonic seizures. Our results revealed the tendency of increased number of dVRS in the early phase following epileptic seizure, suggesting that dilated VRS might be related to the cascade of immune response during epileptic seizures.

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Multimodal 7T MRI of epilepsy surgery candidates: Prospective evaluation of impact on presurgical decisions
Giske Opheim1,2, Melanie Ganz-Benjaminsen1,3, Patrick Fisher1, Ulrich Lindberg4, Mark Bitsch Vestergaard4, Helle Juhl Simonsen4, Henrik Bo Wiberg Larsson4, Anne-Mette Leffers5, Camilla Gøbel Madsen5, Olaf Bjarne Paulson1, and Lars Hageman Pinborg1,2

1Neurobiology Research Unit, Dept. of Neurology, Rigshospitalet, Copenhagen, Denmark, 2Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark, 3Dept. of Computer Science, University of Copenhagen, Copenhagen, Denmark, 4Functional Imaging Unit, Dept. of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet - Glostrup, Copenhagen, Denmark, 5Dept. of Diagnostic Radiology, Centre for Functional & Diagnostic Imaging and Research, Hvidovre Hospital, Copenhagen, Denmark

Identifying lesions at 3T MRI remains the most important correlate to epilepsy surgery outcome. Since 45% of candidates present with negative 3T MRI, investigation of diagnostic yield of clinical 7T MR protocols along with post-processing markers is urged. This ongoing study will evaluate how radiological descriptions and computational morphometrics affect presurgical decisions. So far, 19 patients and 31 controls are scanned at the Philips Achieva 7T system at Hvidovre Hospital, Denmark. Preliminary analyses of automatic segmentations show promising potential. We are in radiological training, but expect first case with evaluation of impact on presurgical decision to start around new-year 2018/2019.


Multiple Sclerosis: Connections & Disruptions

Exhibition Hall
Tuesday 15:45 - 16:45
 Neuro

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Thalamic energy dysregulation drives microstructural changes of thalamo-cortical projections in multiple sclerosis
Vito AG RICIGLIANO1, Matteo Tonietto1, Raffaele Palladino2,3, Emilie Poirion1, Francesca Branzoli1,4, Geraldine Bera1, Elisabeth Maillart5, Bruno Stankoff1,6, and Benedetta Bodini1,6

1Brain and Spinal Cord Institute (ICM), Paris, France, 2Department of Primary Care and Public Health, School of Public Health, Imperial College of London, London, United Kingdom, 3Department of Public Health, University “Federico II” of Naples, Naples, Italy, 4Neuroimaging Research Centre - ICM, Paris, France, 5Hopital De La Pitie Salpetriere, Paris, France, 6APHP, St Antoine Hospital, Neurology Department, Paris, France

Our objective was to investigate whether thalamic energy alterations in multiple sclerosis (MS) are associated with microstructural degeneration of thalamo-cortical tracts. In 17 patients and 13 healthy controls (HCs), the apparent diffusion coefficient of creatine-phosphocreatine ADC(tCr) in the thalami, reflecting energy dysregulation, was evaluated with diffusion-weighted magnetic resonance spectroscopy. Integrity of thalamo-cortical and non-thalamic tracts was evaluated by measuring mean diffusivity (MD) with standard diffusion weighted imaging. In patients but not in HCs, lower thalamic ADC(tCr) was associated with higher MD of thalamo-cortical tracts only, suggesting that thalamic energy dysfunction may induce the selective anterograde degeneration of thalamo-cortical networks.

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In-vivo mapping of thalamic pathological mechanisms in pediatric patients with MS
Loredana Storelli1, Ermelinda De Meo1,2, Lucia Moiola2, Maria Pia Amato3, Angelo Ghezzi4, Pierangelo Veggiotti5,6, Ruggero Capra7, Maria A. Rocca1,2, and Massimo Filippi1,2

1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 2Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 3Department NEUROFARBA, Section Neurosciences, University of Florence, Florence, Italy, 4Multiple Sclerosis Center, Ospedale di Gallarate, Gallarate, Italy, 5Department of Child Neurology and Psychiatry, C. Mondino National Neurological Institute, Pavia, Italy, 6Brain and Behaviour Department, University of Pavia, Pavia, Italy, 7Multiple Sclerosis Center, Spedali Civili of Brescia, Brescia, Italy

Despite widely recognized in pediatric population with multiple sclerosis (MS), the pathogenesis of thalamic damage remains largely unknown. This study was performed to explore the microstructural abnormalities within this structure through the use of quantitative MRI metrics (diffusion tensor, T1/T2-weighted ratio) considering the two different thalamic interfaces (cerebrospinal fluid/thalamus and thalamus/white matter) as sites of two different pathogenic processes: the first one accounting for cerebrospinal fluid-mediated factor damage and the second one for diffuse neurodegenerative damage. The study demonstrated an heterogeneous pathogenesis for thalamic damage since the beginning of the disease.

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Gray matter pathology changes in multiple sclerosis: a comparison of diffusion kurtosis and volumetrics.
Lily Q. Cao1, Benjamin Ades-Aron1, Katarina Yaros1, Nicolas Gillingham1, Dmitry S. Novikov1, Yvonne W. Lui1, Ilya Kister1, Timothy K. Shepherd1, and Els Fieremans1

1NYU School of Medicine, New York, NY, United States

Along with well-characterized abnormalities in normal appearing and lesional white matter, gray matter (GM) pathology has been observed in multiple sclerosis (MS) both with diffusion tensor imaging (DTI) and structural MRI. We used diffusion kurtosis imaging (DKI), a clinically feasible extension of DTI, to characterize pathology in cortical and subcortical GM in MS and uncovered correlations with disease severity, quantified in terms of the Patient Determined Disease Score (PDDS). Our results suggest that DKI metrics are sensitive to changes in GM and could be helpful to use alongside standard markers of disease progression, such as GM volume atrophy.

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Grey matter atrophy measured with MRI correlates with reduced neuronal density in the experimental autoimmune encephalomyelitis model of multiple sclerosis
A. Max Hamilton1,2,3,4, Nils D. Forkert1,2, Ying Wu1,2,3,4, James A. Rogers2,3, V. Wee Yong2,3, and Jeff F. Dunn1,2,3,4

1Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 4Experimental Imaging Center, University of Calgary, Calgary, AB, Canada

Atrophy is a clinical marker of neurodegeneration and progressive disability in multiple sclerosis (MS). To test neuroprotective treatments aimed at reducing atrophy, mouse models featuring atrophy are needed. We have shown the experimental autoimmune encephalomyelitis (EAE) mouse model features atrophy, though we do not know if EAE atrophy is caused by neurodegeneration, as it is in MS. We used MRI and atlas-based regional volumetrics to measure atrophy in EAE, while using immunohistochemistry to measure neurodegeneration. Atrophy measured in the cerebellum and cerebral cortex correlated with neuronal loss, suggesting we can use EAE along with MRI to test neuroprotective therapies.

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Characterization of gray-matter multiple sclerosis lesions using double inversion recovery, diffusion, contrast-enhanced, and volumetric MRI
M. Andrea Parra1, Sindhuja T Govindarajan2, Lev Bangiyev1, Patricia K Coyle3, and Tim Q Duong1

1Radiology, Stony Brook University Hospital, Stony Brook, NY, United States, 2Stony Brook University, Stony Brook, NY, United States, 3Neurology, Stony Brook University Hospital, Stony Brook, NY, United States

This study characterized gray-matter (GM) multiple sclerosis (MS) lesions using double-inversion recovery (DIR), contrast-enhanced and diffusion at 3T MRI. Lesion segmentation was based on DIR. We determined GM lesion prevalence, characterize their contrast-enhancement and diffusion characteristics, and compared them with white-matter (WM) lesions. Correlated GM lesion count and volume with total brain, WM, GM and deep GM volumes, as well as clinical disability. Comparisons were also made with healthy controls. We tested the hypothesis that GM MS lesions are highly prevalent, contrast-enhanced GM lesions have higher ADC values, and GM MS lesion counts and volumes are correlated with brain atrophy.   

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Characterization of Multi-Scale Perfusion in Patients with Relapsing-Remitting Multiple Sclerosis (RR-MS)
Ashley Nespodzany1, Charrid Simpson2, Aimee Borazanci2, and Ashley M Stokes1

1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 2Neurology, Barrow Neurological Institute, Phoenix, AZ, United States

The purpose of this study is to characterize multi-scale cerebral perfusion in patients with multiple sclerosis (MS) using an advanced spin- and gradient-echo (SAGE) dynamic susceptibility contrast (DSC) MRI method. SAGE DSC-MRI provides macro- and micro-vascular perfusion, permeability, and other vascular parameters. We have acquired SAGE DSC-MRI data in 24 patients, along with a quality of life metric. Preliminary analysis of the first five patients demonstrated reduced perfusion in patients with lower quality of life scores than patients with higher quality of life scores. Work is ongoing to characterize the full set of SAGE-based hemodynamic metrics in these patients.

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Quantification of cerebral grey matter vascular and metabolic function in multiple sclerosis using dual-calibrated fMRI.
Hannah L Chandler1, Rachael Stickland1, Mike Germuska1, Eleonora Patitucci 1, Catherine Foster2, Sharmila Khot1, Neeraj Saxena1, Valentina Tomassini3,4, and Richard G Wise1

1Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 2Department of Physics, Concordia University, Montreal, QC, Canada, 3Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom, 4Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, United Kingdom

Dual-calibrated fMRI (dc-fMRI) relies on the simultaneous acquisition of BOLD and ASL during a respiratory challenge to quantitatively map cerebral blood flow (CBF), cerebral metabolic rate of oxygen (CMRO2), oxygen extraction fraction (OEF), cerebrovascular reactivity (CVR) and effective oxygen diffusivity (D). Here, we use this method to investigate alterations in brain physiology in patients with multiple sclerosis (and matched healthy participants), demonstrating significant reductions in CBF and CMRO2 per unit of remaining grey matter in patients. We suggest that this method not only provides novel markers of tissue dysfunction, it also extends the methodological armamentarium for non-invasive investigation of brain pathophysiology in disease.

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Evaluating brain oxygen metabolism and cognition in multiple sclerosis
Kathryn L West1, Dinesh K Sivakolundu1, Mark D Zuppichini1, Gayathri B Maruthy1, Darin T Okuda2, Hanzhang Lu3, and Bart Rypma1

1Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, United States, 2Neurology, University of Texas Southwestern, Dallas, TX, United States, 3Radiology, Johns Hopkins University, Baltimore, MD, United States

We used phase contrast (PC) and T2-Relaxation-Under-Spin-Tagging (TRUST) to evaluate whole brain cerebral metabolic rate of oxygen (CMRO2) in MS patients and healthy controls. We compared CMRO2 with cognitive performance and diffusion kurtosis imaging. CMRO2 correlates negatively with cognitive function in MS patients, suggesting a marker of ongoing disease activity leading to cognitive decline.  

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Relevance of cortical and subcortical integrity in cognitive performance in Relapsing-Remitting Multiple Sclerosis patients.
Cristian Montalba1,2,3, Mariana Zurita4, Tomás Labbé1,5, Marcelo Andia1,2,3, Miguel Guevara6, Jean-François Mangin7, Juan Pablo Cruz2, Ethel Ciampi8,9, Cristian Tejos1,3,10, Claudia Cárcamo8,11, Pamela Guevara6, and Sergio Uribe1,2,3

1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4Institute of Cognitive Neuroscience., University College London, London, UK., London, United Kingdom, 5Interdisciplinary Center of Neurosciences, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Faculty of Engineering, University of Concepción, Concepción, Chile, 7Université Paris-Saclay, Paris, France, 8Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 9Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile, 10Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 11Interdisciplinary Center of Neurosciences, Pontificia Universidad Católica de Chile, Santiago, Chile

In this work, we evaluated if structural characteristics of cortical regions and the U-fibers connected to these regions allows predicting multiple sclerosis patients’ score in FAS, SDMT and PASAT tests. For this purpose, we represented structural characteristics as the proportion of the regions and fibers covered by lesion and the U-fiber’s mean fractional anisotropy. In our sample, FAS test score results significantly correlated with structural damage in U-fibers from Frontal and Temporal lobes. PASAT test score significantly correlated with structural damage in U-fibers in the bilateral Frontal and Parietal lobes. No significant correlations were found for the SDMT.

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Action observation training increases dynamic functional connectivity in patients with multiple sclerosis
Maria A. Rocca1,2, Loredana Storelli1, Claudio Cordani1, Paola Valsasina1, Luca Gavazzeni1, Alessandro Meani1, Paolo Preziosa1,2, Federica Esposito2, and Massimo Filippi1,2

1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 2Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy

Action Observation Training (AOT) seems to be a promising tool to improve upper limb function. We applied a novel method of analysis, which allows a time-varying (dynamic) assessment of resting state functional connectivity on two randomized experimental groups of healthy controls and multiple sclerosis (MS) patients and two control groups. Between-group differences and dynamic functional network connectivity (dFNC) changes over-time in each group were evaluated. After a training of 2 weeks, MS groups improved in right upper limb functions and AOT showed a modulation of dFNC of several functional networks in MS patients.

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Combining Structural and Functional Connectivity as Biomarkers for Disease Progression in Neurologic Disease: A Longitudinal Multiple Sclerosis Study
Mark J Lowe1, Katherine Koenig1, Jian Lin1, Bhaskar Thoomukuntla2, Ken A Sakaie1, Daniel Ontaneda3, Lael Stone3, Kunio Nakamura2, Stephen Rao3, and Stephen Jones1

1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States, 3Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States

Sensitive outcome measures are required to test novel therapies designed to target neurodegeneration in Multiple Sclerosis(MS). We have previously shown that functional connectivity using resting-state fMRI (rs-fMRI) and anatomic connectivity using DTI are related in the transcallosal motor pathway and along the memory pathway connecting hippocampus to posterior cingulate. We propose a combined metric incorporating anatomic and functional connectivity along these pathways as a potential biomarker of disease progression in MS. In this study, we present results from a 2 year study that assessed this biomarker in 19 MS patients at six timepoints. We show that our metric is sensitive to changes in MS disease over this time interval. We also show that our metric is more sensitive to change than typically used imaging biomarkers.

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Evolution of functional and structural connectivity of cognitive frontoparietal network during 2 years of fingolimod therapy of multiple sclerosis
Jian Lin1, Pallab Bhattacharyya1, Hong Li2, Ken Sakaie1, Robert Fox3, and Mark J Lowe1

1Radiology, Cleveland Clinic, Cleveland, OH, United States, 2Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, United States, 3Neurology, Cleveland Clinic, Cleveland, OH, United States

It has been reported that the cognitive impairment in MS is related to the dysfunction of frontoparietal network (FPN). In a longitudinal study of MS patients undergoing fingolimod treatment, we investigated the structural and function connectivity of FPN over 2 years. The trend of changes in functional connectivity MRI, and transverse diffusivity measured by DTI probabilistic tractography indicate that fingolimod treatment stabilized damage of structural and functional connectivity of FPN sometime around/after the 1st year of treatment similar to that reported for motor network.

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Structural and functional damage of the sensorimotor network contribute to predict disability progression and phenotype evolution in patients with multiple sclerosis: a 6.5-year follow-up study
Massimo Filippi1,2, Loredana Storelli1, Alessandro Meani1, Chiara Cervellin1, Paola Valsasina1, Claudio Cordani1, Elisabetta Pagani1, Paolo Preziosa1,2, and Maria A. Rocca1,2

1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 2Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy

Multiple sclerosis (MS) is a complex disease, characterized by a highly heterogeneous disease evolution. The prognostic value of magnetic resonance imaging (MRI) in clinically definite MS is still debated. The aim of this study was to find possible structural and functional MR imaging prognostic biomarkers able to guide treatment decisions in MS disease course. The analysis of structural and functional MRI networks was able to improve our understanding of the extreme variability in MS and allowed prognosis prediction at an individual level.

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Functional connectivity correlates of altered intraindividual variability of processing speed in multiple sclerosis patients with young adult onset
Sindhuja T Govindarajan1, Gregory Bodik1, Yilin Liu1, Leigh Charvet2, Lauren Krupp2, and Timothy Duong1

1Radiology, Stony Brook University Medical Center, Stony Brook, NY, United States, 2Neurology, New York University Langone Medical Center, New York City, NY, United States

Intra-individual variability of processing speed (IIV-PS) is a more sensitive discriminator between controls and MS patients in early disease stage than the normative mean scores of PS. We used rsfMRI to interrogate the neural correlates of IIV-PS and means of PS in MS patients with young-adult onset. Significant correlation of the amplitude of low-frequency fluctuations (ALFF) was found with IIV-PS but not with mean PS. Seed-to-voxel functional connectivity analysis showed significant connections associated with altered IIV of identification task, but not the IIV of detection task. This approach identified the neural networks associated with altered IIV-PS in MS.

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Connectomics of Brain Demyelination in Multiple Sclerosis
Shangming Liu1, Bratislav Misic2, Joseph S. Gati3, Ravi S. Menon3, Sridar Narayanan2, Douglas L. Arnold2, and David A. Rudko1,2

1Department of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada, 2Department of Neurology and Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada, 3Department of Medical Biophysics, Centre for Functional and Metabolic Mapping, Western University, London, ON, Canada

Resting-state connectivity alterations associated with demyelination and neurodegeneration occur in multiple sclerosis, but the specific network connections that are affected are not well understood. Moreover, temporal alterations in these networks across MS patient lifespan and MS phenotype have not been robustly characterized. In this study, we sought to isolate the influence of MS phenotype on resting-state functional connectivity in a cohort of early and later stage MS patients imaged using 7 T MRI. Through single-subject ICA denoising, followed by group-level connectivity matrix analysis with partial-least squares methods, we evaluated group level differences in 7 T resting-state connectivity between MS phenotypes.

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Individual simulation of brain functional reorganization in early multiple sclerosis - The Virtual Brain approach
Rebecca Marchetti1, Bertrand Audoin2, Marmaduke Woodmann3, Arnaud Le Troter1, Paul Bartelemy1, Manon Philibert1, Pierre Besson1, Jean Pelletier2, Maxime Guye4, Viktor Jirsa3, and Jean-Philippe RANJEVA5

1CEMEREM, CRMBM AMU CNRS, Marseille, France, 2Neurology, APHM, Marseille, France, 3INS AMU INSERM, Marseille, France, 4CEMEREM, APHM, Marseille, France, 5CRMBM AMU CNRS, Marseille, France

We demonstrate here that 'The Virtual Brain' (TVB), a computational neural mass model fed with structural connectome derived from individual diffusion MRI can successfully generate reorganized individual resting-state functional connectomes in early multiple sclerosis patients with similar topologies that those obtained with real rs-fMRI data. This opens new perspectives to predict and better understand the brain functional reorganization occuring in individual MS patients during disease progression or treatment.

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Five Year Changes in Iron and Myelin in Relapsing-Remitting Multiple Sclerosis Deep Gray Matter Compared to Healthy Controls
Ahmed Elkady1, Dana Cobzas2, Hongfu Sun2, Gregg Blevins2, Peter Seres2, and Alan Wilman2

1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2University of Alberta, Edmonton, AB, Canada

This study evaluated RRMS and age-matched control longitudinal changes in iron/myelin-sensitive quantitative MRI of the deep gray matter (DGM) over 5 years. In addition to standard bulk analysis of the DGM, we have used a recently introduced analysis framework that utilizes combined R2* and QS for Discriminative Analysis of Regional Evolution (DARE) to identify regions of iron and myelin longitudinal change.  The main findings of the study are the significantly different volume shrinkage rates of the thalamus and iron decrease rates of the caudate, thalamus, and globus pallidus over 5 years compared to age-matched healthy controls. Additionally, iron decrease in the CN and GP was shown to be correlated to clinical disease severity and duration, respectively. 

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A preliminary assessment of the relationship of radial diffusivity of the fornix to future episodic memory performance in Multiple Sclerosis
Katherine A Koenig1, Jian Lin1, Daniel Ontaneda2, Kedar Mahajan2, Jenny Feng2, Stephen M Rao3, Sanghoon Kim1, Stephen Jones1, and Mark J Lowe1

1Imaging Sciences, The Cleveland Clinic, Cleveland, OH, United States, 2Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States, 3Schey Center for Cognitive Neuroimaging, The Cleveland Clinic, Cleveland, OH, United States

Here we present a preliminary report assessing the relationship of DTI measures of the fornix to future episodic memory in patients with multiple sclerosis (MS). We find that radial diffusivity of the fornix is longitudinally related to visual spatial episodic memory. This finding suggests this measure is appropriate to investigate as a potential predictive marker of cognitive decline.

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Statistical analysis of phase congruency detects normal appearing white matter changes associated with disease severity between relapsing remitting and secondary progressive multiple sclerosis
Olayinka Adeoluwa Oladosu1 and Yunyan Zhang1

1University of Calgary, Calgary, AB, Canada

Mechanisms of disease progression from relapsing remitting to secondary progressive multiple sclerosis (MS) are still unclear. Here we applied new texture analysis approaches including phase congruency to understand the differences between normal appearing white matter structure in the brain corpus callosum of patients with relapsing or progressive MS, and matched controls. We found that the contrast, energy, and homogeneity of weighted mean phase in the corpus callosum differentiate MS patients from controls, and energy and homogeneity further distinguish relapsing from progressive MS. Advanced analysis of phase congruency outcomes may help detect disease progression in MS.

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Brain volume measurements in multiple sclerosis patients: a novel combination approach for routine clinical assessment in MS PATHS
Adrian Tsang1, Yu-Chen Su1, Rodrigo D Perea1, Ricardo Corredor-Jerez2,3,4, Mário João Fartaria2,3,4, Till Huelnhagen2,3,4, Veronica Ravano4, Bénédicte Maréchal2,3,4, Tobias Kober2,3,4, Robert A Bermel5, Stephen E Jones5, Izlem Izbudak6, Yvonne W Lui7, Lauren Krupp7, Ellen M Mowry6, James R Williams1, Rick Rudick1, and Elizabeth Fisher1

1Biogen, Cambridge, MA, United States, 2LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 5Cleveland Clinic, Cleveland, OH, United States, 6Johns Hopkins University, Baltimore, MD, United States, 7New York University, New York, NY, United States

Highly precise measurements from fully automated techniques are required to quantify brain atrophy in individual multiple sclerosis (MS) patients. We developed a novel approach to reliably estimate brain atrophy in MS that combines two techniques applied to different image contrasts and incorporates inter-scanner calibrations. We validated this approach using data acquired in a scan-rescan study. Mean coefficient of variation (CV) for the new brain parenchymal fraction measurement was 0.18%, which was lower than the CV attained for the individual techniques. This new metric will next be integrated into the radiology workflow in MS PATHS institutions for further testing.

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Transient enlargement of brain ventricles during Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis
Jason Michael Millward1, Laura Böhmert 1, Paula Ramos Delgado1, Henning Reimann1, Joao Periquito1, Antje Els1, Alina Smorodchenko2, Michael Scheel3, Judith Belmann-Strobl3,4, Carmen Infante-Duarte5, Friedemann Paul3,4, Thoralf Niendorf1,4, Andreas Pohlmann1, and Sonia Waiczies1

1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine, Berlin, Germany, 2Institute for Vegetative Anatomy, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany, 4Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany, 5Institute for Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany

Brain ventricle volumes (VV) increased sharply during initial disease in the experimental autoimmune encephalomyelitis model of multiple sclerosis (MS), normalizing upon clinical remission. A cohort of MS patients with 13 monthly MRI scans over one year showed significantly greater VV volatility than healthy controls. Most patients showed VV contractions greater than the ±6% range of variation in healthy controls, and these patients had significantly lower disease severity compared to non-contracting patients. For some patients, the time series of changes in VV showed significant cross-correlations with other MRI and clinical parameters, suggesting that VV variations reflected disease processes related to inflammation.

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White Matter Tract-Defined Lesion Loads in Relapsing-Remitting Multiple Sclerosis
M. Ethan MacDonald1,2, Wei-Qiao Liu1,2, Sarah Scott1,2, Conrad P. Rockel1,2, Deepthi Rajashekar1,2, Jacinta L. Specht1,2, Hongfu Sun1,2, and G. Bruce Pike1,2

1Radiology & Clinical Neuroscience, University of Calgary, Calgary, AB, Canada, 2Healthy Brain Aging Lab, University of Calgary, Calgary, AB, Canada

Lesions in multiple sclerosis (MS) present at various locations throughout the brain. 207 relapsing-remitting MS (RRMS) patients were scanned at 3T. T2w and T1w images were used to segment white matter (WM) hyper- and hypo-intensities, respectively. Using an atlas of WM tracts, the lesion burden was computed for each tract. The dominant lesion load was found in the periventricular regions. The tract percent load is highest in the anterior thalamic radiation, inferior fronto-occipital fasciculus, the forceps major, and forceps minor tracts. The uncinate fasciculus, superior longitudinal fasciculus, and the four cingulum tracts have the lowest lesion loads.

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Spatial distribution of multiple sclerosis lesions along the brain and spinal motor tracts and correlation with functional deficits
Anne Kerbrat1,2, Charley Gros1, Atef Badji1, Elise Bannier3,4, Francesca Galassi4, Benoit Combès4, Pierre Labauge5, Xavier Ayrignac5, Clarisse Carra Dallière5, Frederic Pinna5, Benjamin De Leener6, Dominique Eden1, Josefina Maranzano6, Ren Zhuoquiong7, Tobias Granberg8, Leszek Stawiarz8, Jan Hillert8, Russell Ouellette8, Jason Talbott9, Yasuhiko Tachibana10, Masaaki Hori11, Kouhei Kamiya11, Lydia Chougar12, Jennifer Lefeuvre13, Daniel Reich13, Govind Nair 13, Paola Valsasina14, Maria Rocca14, Massimo Filippi14, Renxin Chu15, Rohit Bakshi15, Gilles Edan2, and Julien Cohen-Adad1,16

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Neurology, CHU de Rennes, Rennes, France, 3Radiology, CHU de Rennes, Rennes, France, 4Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Visages U1128, Rennes, France, 5CHU Montpellier, Montpellier, France, 6McConnell Brain Imaging Center, Montreal neurological institute, Montreal, QC, Canada, 7Xuanwu Hospital, Beijing, China, 8Karolinska Institutet, Stockholm, Sweden, 9Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, United States, 10National Institute of Radiological Sciences, Chiba, Japan, 11Juntendo University Hospital, Tokyo, Japan, 12Hopital Cochin, Paris, France, 13National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 14Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 15Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 16Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, QC, Canada

We describe the spatial distribution of multiple sclerosis (MS) lesions in the corticospinal tracts (CST), from the cortex to the lower cervical cord, using an open-source automated pipeline. We confirm the high frequency of CST focal damage in MS patients from the first year of relapsing-remitting MS and identify areas of predilection for MS lesions along the CST in the cervical spinal cord. At baseline, no significant correlation was observed between brain or spinal cord CST lesion volume fraction and physical disability scores. However, the baseline spinal cord CST lesion volume fraction correlated with the EDSS at 2 years.

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Investigating the contribution of interhemispheric disconnection to disability and fatigue in Progressive Multiple Sclerosis.
Maria Petracca1, Matteo Battocchio 2, Simona Schiavi2,3, Mohamed Mounir El Mendili1, Lazar Fleysher1, Alessandro Daducci2, and Matilde Inglese1,3

1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2University of Verona, Verona, Italy, 3University of Genoa/IRCCS AOU San Martino-IST, Genova, Italy

We explored the presence and clinical impact of interhemispheric disconnection in progressive multiple sclerosis (PMS) through a tractography-based approach, quantifying the number of streamlines passing through callosal subregions. In PMS, we identified a reduced number of streamlines in the splenium and the anterior portion of the corpus callosum (CC) body. Patients with primary and secondary progressive phenotype presented different patterns of CC involvement. The reduced number of streamlines in central and anterior CC was related to motor disability and fatigue, while loss of the integrity in the posterior portion of CC was the main feature of cognitively impaired patients.

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Vascular disease risk factors in multiple sclerosis is associated with reduced cerebral metabolic activity
Manoj K Sammi1, Ian Tagge1, Dennis Bourdette2,3, Allison Fryman2,3, William D Rooney1, and Vijayshree Yadav2,3

1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Department of Neurology, Oregon Health & Science University, Portland, OR, United States, 3VA Portland Health Care System, Portland, OR, United States

Reduced cerebral metabolic activity is observed with increased vascular disease risk factors like hyperlipidemia, hypertension, obesity, diabetes, and heart disease.  High resolution MR techniques are used to measure and characterize capillary water flux and water permeability surface product as potential surrogates of brain metabolic activity.


Alzheimer's & Related Dementia

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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Towards clinically useful individual regional brain atrophy rates: bridging long- and short-term longitudinal volume change estimates
Jonas Richiardi1,2, Bénédicte Maréchal1,2,3, Ricardo Corredor1,2,3, Mazen Fouad A-wali Mahdi2, Reto Meuli1, and Tobias Kober1,2,3

1Department of Medical Radiology, Lausanne University Hospital, Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthcare AG Switzerland, Lausanne, Switzerland, 3LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Several brain diseases show prominent, regionally-specific atrophy over time, which is often predictive of patient outcomes. However, reliable estimation of atrophy rates typically relies on repeated observations over several years. This is incompatible with clinical practice in terms of cost and prognosis utility. Here, we propose a statistical regularization approach to dramatically improve the quality of regional atrophy estimates, using only two longitudinal measurements. We evaluate the approach on open data from 43 MR scanners and 599 subjects, showing that we halve the error in most regions, while maintaining discriminability between controls and Alzheimer patients.

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White matter hyperintensity burden is strongly associated with neuro-inflammation but not with amyloid deposition: a multimodal PET MR study
Hongyu An1, Chunwei Ying1, Yasheng Chen2, Peter Kang2, Jon Christensen1, Qing Wang1, Lisa Cash1, Jin-Moo Lee2, Andria Ford2, and Tammie Benzinger1

1Radiology, Washington University in St. Louis, St. Louis, MO, United States, 2Neurology, Washington University in St. Louis, St. Louis, MO, United States

Selectively elevated PET 11C-PK11195 uptake within white matter demonstrates that neuro-inflammation is an important pathogenic factor in patients with white matter hyperintensities.

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Decreased FDG-PET Uptake and Inter-Hemispheric Functional and Structural Connectivity in Patients with Multi-domain Amnestic Mild Cognitive Impairment
Xiao Luo1, Kaicheng Li1, Qingze Zeng1, Peiyu Huang1, Yong Zhang2, and Minming Zhang1

1The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, 2GE Healthcare Shanghai, Shanghai, China

Amnestic mild cognitive impairment (aMCI) is not a uniform disease entity. Based on clinical symptoms, aMCI can be further classified as single-domain aMCI (SD-aMCI) with isolated memory deficit, or multi-domain aMCI (MD-aMCI) if memory deficit is combined with other cognitive domains impairment. By examining cerebral metabolism, inter-hemispheric connectivity, behavioral features, and neuropathologies, we observed disrupted bilateral cerebral metabolism, structural and functional disconnection between bilateral hemispheres in MD-aMCI, but not in SD-aMCI. Thus, along with the continuum between normal aging and Alzheimer’s disease, SD-aMCI and MD-aMCI may represent two clinical phases.

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Multimodal Magnetic Resonance Imaging versus 18F-FDG-PET to Identify Mild Cognitive Impairment
Sudipto Dolui1, Zhengjun Li1, Ilya Nasrallah1, David A. Wolk2, and John A. Detre1,2

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States

18F-FDG-PET provides a functional neurodegenerative biomarker in the Alzheimer’s continuum, but it is costly and involves exposure to ionizing radiation. Arterial Spin Labeled (ASL) perfusion MRI can be acquired during routine MRI session to measure cerebral blood flow (CBF), which is tightly coupled with cerebral metabolism. We demonstrated that the ASL hypoperfusion pattern was similar to that of FDG-PET-hypometabolism in patients with mild cognitive impairment. Further, ASL-CBF provided complementary information to hippocampal atrophy measured with structural MRI. Multimodal MRI may provide a cost-effective and totally noninvasive substitute for 18F-FDG-PET in clinical and research setting for detecting Alzheimer’s neurodegeneration.

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Reference Regions for Computing Relative Cerebral Blood Flow in Mild Cognitive Impairment
Sudipto Dolui1, Zhengjun Li1, Ilya Nasrallah1, David A. Wolk2, and John A. Detre1,2

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States

Alzheimer’s disease (AD) is characterized by reduced cerebral blood flow (CBF) both globally and in AD specific regions, however there is considerable CBF variability even in healthy population. Relative CBF using mean CBF in AD-spared regions as reference removes this variability and can provide higher sensitivity and specificity for regional changes. We compared the effects of using different reference regions in discriminating patients with amnestic mild cognitive impairment (aMCI) and elderly controls using two different arterial spin labeling acquisitions. Putamen and primary motor cortex were most spared in the aMCI cohort and provided best patient-diagnosis when used as reference regions.

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Does obesity cause limbic neuroglia changes that may precede Alzheimer's disease? An MRI causal analysis investigation using quantitative magnetisation transfer
Fabrizio Fasano1, John Evans2, Cyril Charron2, Derek Jones2, and Claudia Metzler-Baddeley2

1Siemens Healthcare Ltd, Frimley, Camberley, United Kingdom, 2CUBRIC, Cardiff University, Cardiff, United Kingdom

By a causal analysis approach, we investigated the effect that an “intervention” on healthy population weight would produce on hippocampus macromolecular exchange rates. The quantitative magnetisation transfer index forward exchange rate (kf) is recognised to be lowered by myelin/axonal membrane loss and neuroinflammation. We found that, especially in over 56 years aged male subjects, forcing the weight to stay below the overweight threshold (waist-to-hip ratio 0.9) may dramatically reduce low macromolecular exchange rate occurrences in the population.

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Quantitative Intracranial Vasculature Assessment to detect dementia using the intraCranial Artery Feature Extraction (iCafe) Technique
Li Chen1, Thomas Grabowski1, Eric B Larson2, Paul Crane1, Thomas S Hatsukami1, Jenq-Neng Hwang1, Chun Yuan1, and Niranjan Balu1

1University of Washington, Seattle, WA, United States, 2Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States

Intracranial artery features measured from 3D magnetic resonance angiography (MRA) may provide new biomarkers for detecting dementia. Quantitative morphometry and intensity features using iCafe analysis of MRA was compared between cognitively normal and abnormal subjects. We found significantly lower total artery length (p=0.0046), distal artery length (p=0.0043), number of branches (p=0.0038) and average order (p=0.0250) in the cognitively abnormal group. These results suggest reduced vascularity for dementia subjects. iCafe is a promising tool to quantitatively characterize intracranial vascular structures for dementia research.

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Neuropathologic Correlates of Enlarged Perivascular Spaces in a Community Cohort of Older Adults
Carles Javierre Petit1, Ashish A. Tamhane2, Arnold M. Evia1, Nazanin Makkinejad1, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1

1Illinois Institute of Technology, Chicago, IL, United States, 2Rush University Medical Center, Chicago, IL, United States

Perivascular spaces are fluid-filled spaces surrounding blood vessels as they penetrate the brain, forming a brain fluid drainage system that facilitates interstitial fluid exchange and clearance of waste products. Enlargement of perivascular spaces is common in aging, and literature has linked enlarged perivascular spaces (EPVS) to increased risk of stroke, lower cognitive function, and vascular dementia. The links of EPVS burden to age-related neuropathologies have not yet been thoroughly investigated. Therefore, the purpose of this work was to assess the neuropathologic correlates of EPVS by combining ex-vivo MRI and pathology data in a large community cohort of 625 older adults.

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Glutamate Weighted Imaging (GluCEST) as a Biomarker of Cognitive Function: Preliminary Findings from GluCEST MRI in Older Adults
Abigail T.J. Cember1, Ravi Prakash Reddy Nanga1, Sandhitsu Das2, Neil E. Wilson1, Deepa Thakuri1, David Wolk2, John Detre1, and Ravinder Reddy1

1Center for Magnetic Resonance and Optical Imaging, University of Pennsylvania, Philadelphia, PA, United States, 2Penn Memory Center, University of Pennsylvania, Philadelphia, PA, United States

We used glutamate weighted Chemical Exchange Saturation Transfer (GluCEST) imaging to investigate changes in glutamate concentrations in the brains of older adults. These are preliminary findings representing the data from subjects presenting with Mild Cognitive Impairment (MCI) (n=5) and similarly-aged healthy controls (n=5). In this cohort, we observed a trend of decreasing GluCEST contrast in multiple regions of the brain of MCI subjects when compared to control subjects. Especially interesting is the apparent global decrease in GluCEST contrast throughout the white matter of the MCI subjects.   

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FLAIR-DTI joint analysis of periventricular white matter lesions for normal control, mild cognitive impairment, and Alzheimer’s disease
Jingyun Chen1, Yi Li1, Artem V. Mikheev2, Zifei Liang2, Matthew D. Gruen1, Jiangyang Zhang2, Henry Rusinek2, and Yulin Ge2

1Psychiatry, New York University School of Medicine, New York, NY, United States, 2Radiology, New York University School of Medicine, New York, NY, United States

In patients with mild cognitive impairment from ADNI MRI database, joint analyses of FLAIR and diffusion-tensor MRI (DTI) find significant positive correlation between periventricular white matter lesion (PVWML) and ventricle volumes; and negative correlation between PVWML and grey matter thickness of four cortical regions. Furthermore, significant correlations were found between PVWML and DTI measures (FA, MD, AD and RD) within the WM in close proximity to four cortical regions, indicating the degenerative changes in remote subcortical WM regions that can be quantitatively evaluated with DTI. However, such correlations were not found in either normal controls or patients with AD.

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Susceptibility and Volume Changes of the Mammillary Bodies as a Function of Age for Healthy Individuals and Early Stage Dementia
Zhijia Jin1, Sean K. Sethi2,3, Binyin Li4, Naying He1, Weibo Chen5, E. Mark Haacke6, and Fuhua Yan1

1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 3The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 4Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 5Philips Healthcare, Shanghai, China, 6Department of Radiology, Wayne State University, Detroit, MI, United States

The mammillary bodies play an important role in episodic memory and spatial memory. However, few studies have focused on their properties in humans due to the limitations of the imaging techniques, their location and small size. In this study, we evaluate brain iron content and volume of the mammillary bodies in subjects with mild cognitive impairment (MCI), Alzheimer’s Disease and healthy individuals using quantitative susceptibility mapping and 3D T1-weighted imaging. There was a slight reduction in volume and increase in susceptibility with age and there were no differences of either susceptibility or volume among the three groups.

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Cerebral myo-inositol and glutamate+glutamine levels assessed by magnetic resonance spectroscopy in healthy aging
Antoine Hone-Blanchet1, Lisa Krishnamurthy2, Salman Shahid1, Qixiang Lin1, Candace Fleischer3, James Lah1, Allan Levey1, Deqiang Qiu3,4, and Bruce Crosson1

1Neurology, Emory University, Atlanta, GA, United States, 2Physics and astronomy, Georgia State University, Atlanta, GA, United States, 3Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 4Joint Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

This study aims at measuring the effect of aging and expression of protein amyloid-beta (Aβ) on markers of neuroinflammation and glutamate metabolism using magnetic resonance spectroscopy. Measures of medial frontal cortical myo-inositol (mI) and glutamate+glutamine (Glx) were obtained in 21 young adults, 21 healthy older adults and 10 healthy older adults expressing Aβ. Results show an increase in mI in all older adults compared to young adults, and a decrease in Glx in all older adults compared to young adults. These results suggest that MRS is a viable tool in the investigation of biomarkers of inflammation in aging.

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Prediction of Mild Cognitive Impairment Patients based on VBM, DBM and SBM Analysis
Zhe Ma1, Xiangyu Ma1, Zhizheng Zhuo1, Lijiang Wei1, Yingjie Mei2, and Haiyun Li1

1Capital Medical University, Beijing, China, 2Clinical Science, Philips Healthcare, Guangzhou, China

Exploring reliable biomarkers is important for the clinical early detection of mild cognitive impairment (MCI) patients . This study investigated cerebral morphological abnormalities in MCI by combining three widely-used morphometry analysis methods (Voxel-based morphometry (VBM), deformation-based morphometry (DBM) and surface-based morphometry (SBM)) and constructed a set of classifiers to identify MCI patients from normal controls. The highest classification accuracy (91%) was reached when using combined morphological features (including gray matter volume, deformation, cortex thickness, gyrification index, sulcus depth and fractal dimension). Our results indicate that using combined morphological features could improve the performance of MCI prediction compared to using a single morphometry method

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HIGH AND LOW RISK DEMENTIA CLASSIFICATION IN EARLY MCI FROM ADNI1
Trisha Kibaya1, Nivedita Agarwal 2, and Jorge Jovicich 3

1Cognitive Neuroscience, Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy, 2Neuroradiology, Santa Maria del Carmine Hospital of Rovereto, Rovereto, Italy, 3Center for Mind/Brain Sciences, University of Trento, Mattarello, Italy

Mild cognitive impairment (MCI) has been defined as the stage between the expected cognitive decline of normal aging and the more serious decline of dementia. Its clinical characteristics represent the earliest features of many forms of dementia. Specifically, many studies have reported amnestic MCI (aMCI) as a risk factor for Alzheimer’s disease, but to date there’s still a need for establishing specific, reliable, pre-symptomatic and non-invasive biomarkers associated to the progression of aMCI to AD. In this study we investigated CSF and structural MRI biomarkers for the classification of high and low risk of dementia conversion in aMCI.

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Functional Impact of Theta Burst Stimulation on Motor Cortex
Marc D Lindley1, Mark Sundman2, Koeun Lim2, Jack-Morgan Mizell2, Viet Ton That2, William Mennie2, Chidi Ugonna1, Nan-kuei Chen1, and Ying-hui Chou2

1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Psychology, University of Arizona, Tucson, AZ, United States

The effect of transcranial magnetic stimulation using intermittent theta burst stimulation (iTBS) on functional connectivity and cortical excitability was tested in a healthy older adult and individuals with mild cognitive impairment. Individuals underwent an iTBS protocol with single pulse cortical excitability tests and-resting state fMRI(rs-fMRI) being performed before and after. Cortical excitability was tested through a pseudorandomized order of intensities of single pulses. Within functional network RS-fMRI analysis was done of the sensorimotor network. Differences in the response between the two populations was observed in both the functional connectivity changes in the sensorimotor network as well as the cortical excitability.

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Quantification of neuronal loss related to cognitive impairment in mild Alzheimer disease in hippocampal subfields using quantitative gradient recalled echo (qGRE) MRI
Satya VVN Kothapalli1, Tammie L Benzinger1,2, Jason Hassenstab2,3, Manu S Goyal1,3, John C Morris2,3, and Dmitriy A Yablonskiy1

1Department of Radiology, Washington University in Saint Louis, Saint Louis, MO, United States, 2Knight Alzheimer’s Disease Research Center, Washington University in St. Louis, Saint Louis, MO, United States, 3Department of Neurology, Washington University in St. Louis, Saint Louis, MO, United States

Damage of hippocampus leading to cognitive decline is one of the major hallmarks of Alzheimer disease (AD). Differentiating neuronal loss in hippocampal subfields is important as they control different biological functions. In this study, we used MRI-based qGRE technique to evaluate neuronal content (in the remaining after atrophy tissue) of hippocampal subfields in a well-characterized cohort of human subjects recruited from Knight ADRC. Our results showed pronounced left/right asymmetry in the pattern of neuronal damage in mild AD and a significantly stronger (compared to atrophy) correlation between neuronal loss in the remaining tissue of hippocampal subfields and cognitive tests.

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The effect of deep medullary veins disruption on cognitive function is mediated by microstructure integrity in patients with cerebral small vessel disease
Ruiting Zhang1, Qingqing Li2, Min Lou2, and Minming Zhang1

1Radiology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China, 2Neurology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China

We aimed to evaluate the effect of deep medullary veins (DMVs) disruption on cognition in cerebral small vessel disease (cSVD) patients and to examine whether white matter microstructure integrity mediate the relationship between DMVs disruption and cognitive impairment. Susceptibility-weighted images were used to observe characteristics of DMVs. White matter was classified into white matter hyperintensities (WMH) and normal appearing white matter (NAWM), and the average Fractional anisotropy (FA) and cerebral blood flow values of each region were extracted and compared. Mediation analyses revealed that the effect of DMVs score on cognition was mediated by microstructure integrity (FA value) in NAWM.

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Brain volume asymmetries and 1H-MRS of Posterior Cingulate Cortex in the differential diagnosis of Primary Progressive Aphasia
Micaela Mitolo1, Michelangelo Stanzani-Maserati2, Stefania Evangelisti1, Lia Talozzi1, Laura Ludovica Gramegna1,2, Lorenzo Cirignotta1, Claudio Bianchini1, Federico Oppi2, Roberto Poda2, Roberto Gallassi2, Giovanni Rizzo2,3, Luisa Sambati2, Piero Parchi2, Sabina Capellari2,3, Rocco Liguori2,3, David Neil Manners1, Claudia Testa4, Raffaele Lodi1,2, and Caterina Tonon1,2

1Department of Biomedical and NeuroMotor Sciences, Functional MR Unit, University of Bologna, Bologna, Italy, Bologna, Italy, 2IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, Bologna, Italy, 3Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy, Bologna, Italy, 4Department of Physics and Astronomy, University of Bologna, Bologna, Italy, Bologna, Italy

Differential diagnosis of neurodegenerative diseases is a great challenge for both clinic practice and research. We investigated the ability of magnetic resonance spectroscopy (1H-MRS) of Posterior Cingulate Cortex (PCC) and brain volume asymmetries to differentiate patients with Primary Progressive Aphasia (PPA) from patients with Alzheimer’s disease (AD). The N-acetyl-aspartate to myo-inositol ratio (NAA/mI ratio) in the PCC discriminates APP from AD (p = 0.009) with an accuracy of 75.5%. Furthermore, ROC curve analyses of all statistically significant asymmetry indexes were performed and the PCC showed the highest level of accuracy (81.4%) in discriminating between the two neurodegenerative groups.

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Identification of normal pressure hydrocephalus by disease-specific patterns of brain stiffness and damping ratio
Matthew C Murphy1, Arvin Arani1, Fredric B Meyer2, Armando Manduca3, Kevin J Glaser1, Richard L Ehman1, and John Huston1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Neurosurgery, Mayo Clinic, Rochester, MN, United States, 3Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States

Normal pressure hydrocephalus (NPH) is a form of dementia characterized by cognitive impairment, urinary incontinence and abnormal gait. NPH can be difficult to differentiate from other dementias, but it can be treated in many cases if accurately diagnosed. Here we tested whether MR elastography-based measures of brain stiffness and damping ratio could discriminate subjects with NPH from both cognitively normal subjects and those with probable Alzheimer’s disease. Both mechanical parameters exhibited significant group-wise differences in a specific spatial pattern. Further, summary measures of these spatial patterns in individuals discriminated subjects with NPH from the other two groups (area under ROC≥0.94).

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Altered Functional Topological Properties of Brain Networks in Type-2 Diabetes with and without Mild Cognitive Impairment
Ying Xiong1, Qiang Zhang2, and Shuchang Zhou1

1Department of Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China, 2Department of Neurology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China

This study aims to investigate the functional topological properties in T2DM with and without impairment, and characterize its relationships with clinical measurements. Forty-four T2DM patients were divided into two sub-groups (impaired and normal cognition), together with healthy controls, were imaged at a 3T scanner. We found no significant intergroup difference in global measurements among the three group. However, increased or decreased nodal efficiency was detected in some important brain regions. Altered nodal efficiency in FFG and ITG correlated with glycosylated hemoglobinA1c and neuropsychological assessments. The resting-state functional topological properties research shows potential feasibility in characterizing intrinsic alterations of diabetic encephalopathy.

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Progressive Alterations in Resting-State Regional Homogeneity in Type 2 Diabetes with and without Mild Cognitive Impairment
Ying Xiong1, Qiang Zhang2, and Wenzhen Zhu1

1Department of Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China, 2Department of Neurology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China

This study aims to detailly investigate the alterations in spontaneous brain activity in T2DM patients with and without MCI and characterize its relationships with clinical measurements. Forty-four T2DM patients were divided into two sub-groups(impaired and normal cognition), together with 25 healthy controls, were scanned at 3Tscanner. T2DM patients with normal cognition had increased regional-homogeneity in many important brain regions than controls. Those with MCI exhibited regional-homogeneity in right inferior frontal gyrus in a further step. Increased regional-homogeneity correlated with neuropsychological assessment, glycosylated-hemoglobinA1c and disease duration. Rs-fMRI can be an appropriate approach for studying the alteration in spontaneous brain activity in diabetes.

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Amyloid- β Associations with White Matter Integrity in Down Syndrome Assessed Using Diffusion Tensor Imaging and 11C-PiB Positron Emission Tomography
Austin Patrick1, Minjie Wu2, Patrick Lao3, Douglas Dean1, Matthew Zammitt1, Sterling Johnson1, Dana Tudorascu2, Annie Cohen2, Karly Cody1, Charles Laymon2, William Klunk2, Shahid Zaman4, Benjamin Handen2, Andrew Alexander1, and Bradley Christian1

1University of Wisconsin-Madison, Madison, WI, United States, 2University of Pittsburgh, Pittsburgh, PA, United States, 3Columbia University, New York, NY, United States, 4University of Cambridge, Cambridge, United Kingdom

Nearly all people with Down Syndrome will develop Alzheimer’s Dementia neuropathology by age 50, often asymptomatically. In this work, diffusion tensor imaging (DTI) was used to characterize white matter (WM) tract microstructure in thirty-three non-demented participants with Down Syndrome. Amyloid plaque burden was assessed using PET imaging with C-11 PiB. DTI measures were used to compare WM microstructure in DS individuals with high amyloid burden (PiB+) versus individuals with low amyloid burden (PIB-). PIB+ adults demonstrated significantly increased mean diffusivity and decreased fractional anisotropy in several bilateral WM regions. These findings are consistent of signs of WM degeneration.

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Hippocampal cerebrovascular reactivity is associated with obesity in women. An arterial spin labeling study.
Lidia Glodzik1,2, Henry Rusinek2, Wai Tsui1, Yi Li1, Pippa Storey2, Ricardo Osorio1, Tracy Butler1, and Mony de Leon1

1Psychiatry, NYU School of Medicine, New York, NY, United States, 2Radiology, NYU School of Medicine, New York, NY, United States

Cerebrovascular reactivity to carbon dioxide (CVR-CO2) is impaired in conditions affecting cerebral vasculature. Obesity increases the risk of Alzheimer’s disease (AD). The hippocampus plays a prominent role in cognition and it is one of the earliest brain structures affected during the progression of AD. It remains uncertain how obesity affects cerebral vasculature in AD vulnerable regions. We examined  the relationship between body mass index and neocortical and hippocampal vasoreactivity. Our pulsed ASL sequence combined a flow-sensitive alternating inversion-recovery labeling scheme with balanced steady-state free precession to optimize spatial resolution and lower sensitivity to susceptibility artifacts. Cerebral blood flow (CBF) measurements were done during rest and rebreathing challenge designed to increased CO2 level. In obese women (BMI≥30, n=36) hippocampal vasoreactivity was 80% lower than in their non-obese peers. No relationship was observed in men or with respect to cortical vasoreactivity.

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A novel MRI classifier of arteriolar sclerosis in aging: Prediction of pathology and cognitive decline
Nazanin Makkinejad1, Arnold M. Evia2, Ashish Tamhane2, David A. Bennett2,3, Julie A. Schneider2,3,4, and Konstantinos Arfanakis1,2,5

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University, Chicago, IL, United States, 3Department of Neurological Sciences, Rush University, Chicago, IL, United States, 4Department of Pathology, Rush University, Chicago, IL, United States, 5Department of Diagnostic Radiology, Rush University, Chicago, IL, United States

Arteriolar sclerosis is one of the main pathologies of small vessel disease, is common in the aging brain, and has been associated with lower cognitive performance and higher risk of dementia. Definitive diagnosis of arteriolar sclerosis is only possible at autopsy. In this work, an MRI-based classifier of arteriolar sclerosis was developed, by first training a classifier on ex-vivo MRI and pathology data and then translating it in-vivo, and was evaluated in a large community cohort of older adults.

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Evaluation of the magnetization exchange in catecholaminergic nuclei at 3 T
Nikos Priovoulos1, Stan van Boxel1, Heidi IL Jacobs1,2,3, Benedikt A Poser2, and Dimo Ivanov2

1Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States

Magnetization Transfer (MT) weighted gradient echo techniques can be used favourably instead of typical spin-echo based approaches for high-resolution imaging of the Locus Coeruleus (LC), which is of interest in various diseases. Examining the MT properties of the LC is needed for the development of quantitative biomarkers. Employing a fast, high-resolution acquisition sequence we show that it is possible to obtain data to fit a two-pool MT exchange model in the LC. The LC shows differential MT behavior compared to other catecholaminergic and adjacent GM regions consistent with reduced macromolecular content.


Experimental Models of CNS Disease: Functional/Spectroscopy

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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Mild neonatal hypoxia-ischemia in rats induces long-term behavior and  cerebellar anormalities
Yohan Van de Looij1, Edurado F Sanches1, Stephane Sizonenko1, and Hongxia Lei2,3

1Department of Pediatrics, University of Geneva, Geneva, Switzerland, 2Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Faculty of Medicine, University of Geneva, Geneva, Switzerland

How mild neonatal hypoxia-ischemia (HI) in very immature rats affects cerebellum remains not well understood. We showed cerebellar abnormalities, including behavior, motor function and metabolites, in adult rats after HI at postnatal day 3.

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Cerebral mapping of glutamate with GluCEST MRI in a rat model of stress-induced sleep disturbance
Do-Wan Lee1, Dong-Hoon Lee2, Chul-Woong Woo3, Jae-Im Kwon4, Yeon-Ji Chae3, Su Jung Ham1, Ji-Yeon Suh1, Sang-Tae Kim3, Jeong Kon Kim5, Kyung Won Kim5, Jin Seong Lee5, Choong Gon Choi5, and Dong-Cheol Woo3,6

1Center for Bioimaging of New Drug Development, and MR Core, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 2Faculty of Health Sciences and Brain & Mind Centre, The University of Sydney, Sydney, Australia, 3MR Core, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 4Department of Nuclear Medicine, Avison Biomedical Research Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of, 5Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 6Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of

GluCEST is a powerful neuroimaging tool, can detect in vivo glutamate signals involving neurotransmitter metabolism in the central nervous system. We measured glutamate signal changes in the hippocampus and cortex of a rat model of stress-induced perturbed sleep, using in vivo GluCEST and high-resolution 1H-MRS. The CEST signal in control and sleep-perturbed rats revealed significant findings on GluCEST contrast values and metabolic concentrations in both regions. Our in vivo GluCEST and 1H-MRS results may yield valuable insights in the alterations of cerebral glutamate signals in sleep disorders.

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Diffusion tensor imaging and resting-state functional MRI reveal altered brain network hubs on a depression knockout mouse model
Sheng-Min Huang1,2, Kuan-Hung Cho1, Tsung-Ying Yang3, Yi-Shan Wu3, Hsuan-Kai Huang4, Chia-Wen Chiang1, Pei-Hsin Huang3,5, and Li-Wei Kuo1,6

1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 2Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 3Graduate Institute of Pathology, National Taiwan University College of Medicine, Taipei, Taiwan, 4Department of Physics, National Taiwan University, Taipei, Taiwan, 5Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan, 6Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan

In this study, diffusion tensor imaging (DTI) and resting-state functional MRI were employed on a depression knock-out mouse model, which shows behaviors of anxiety and depression. The brain network hubs were investigated by region-of-interest (ROI) and connectivity analyses. Our results showed altered resting-state connectivity in prefrontal and hippocampal areas. Also, altered DTI indices were also found in thalamus and hippocampus. These findings are consistent with previous human studies and suggest the brain neuroimaging could be potentially useful to reveal the brain network hubs affected by depression on the proposed mouse model.

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In Vivo Evidence of Brain Glutamate Level Changes in a Multiple Sclerosis Rat Model Using Glutamate Chemical Exchange Saturation Transfer (GluCEST) Imaging
Dong-Hoon Lee1, Chul-Woong Woo2, Jae-Im kwon3, Yeon-Ji Chae2, Su Jung Ham4, Ji-Yeon Suh4, Sang-Tae Kim2, Jeong Kon Kim5, Kyung Won Kim5, Jin Seong Lee5, Choong Gon Choi5, Dong-Cheol Woo2,6, and Do-Wan Lee4

1Faculty of Health Sciences and Brain & Mind Centre, The University of Sydney, Sydney, Australia, 2MR Core Laboratory, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 3Department of Nuclear Medicine, and Avison Biomedical Research Center, Yonsei University College of Medicine, Seoul, Korea, Republic of, 4Center for Bioimaging of New Drug Development, and MR Core Laboratory, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 5Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 6Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of

GluCEST imaging is a novel molecular MRI imaging technique that provides in vivo image contrast by glutamate concentration changes. In this abstract, we attempted to evaluate signal changes in hippocampus and corpus callosum at a multiple sclerosis rat model based on the quantified GluCEST signals. We also evaluated and compared the signals with those in the control group to demonstrate the glutamate signal differences. Our results clearly showed that GluCEST imaging could be a useful tool to evaluate the brain metabolism in the brain multiple sclerosis, and it provides quantitative results highly related with the in vivo glutamate level changes.

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Glutamate imaging in schizophrenia prodrome
Zhuozhi Dai1,2, Handi Zhang3, Alan H. Wilman1, Haiyun Xu3, Gang Xiao4, Hongfu Sun5, Zerui Zhuang6, Yanlong Jia6, Zhiwei Shen6, Gen Yan7, and Renhua Wu6

1University of Alberta, Edmonton, AB, Canada, 2Radiology, 2nd Affiliated Hospital of Shantou University Medical College, Shantou, China, 3Mental Health Center of Shantou University, Shantou, China, 4Mathematics and Information Technology, Hanshan Normal University, Chaozhou, China, 5Hotchkiss Brain Institute, Calgary, AB, Canada, 62nd Affiliated Hospital of Shantou University Medical College, Shantou, China, 7Affiliated Hospital of Jiangnan University, Wuxi, China

The diagnosis of schizophrenia prodrome is significant since early intervention may prevent the development of full-blown schizophrenia. With increasing evidence indicating that glutamate is involved in the incidence of schizophrenia, we hypothesize that glutamate could be an imaging biomarker in the diagnosis of prodromal schizophrenia. We applied the glutamate CEST imaging technique in schizophrenic models and demonstrates that glutamate changes in different regions of the brain at an early stage, which may provide a powerful indicator of the diagnosis of schizophrenia prodrome. In addition, the glutamate CEST image had excellent correlation with standard MR spectroscopy.

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Advanced Experimental setup for awake resting-state fMRI in rabbits
Nicola Bertolino1, Daniele Procissi1, Craig Weiss2, Quinn C Smith2, and John F Disterhoft2

1Radiology, Northwestern University, Chicago, IL, United States, 2Physiology, Northwestern University, Chicago, IL, United States

Awake imaging in pre-clinical research is challenging due to the MRI sensitivity to motion and animal’s natural reactivity to unfamiliar and loud environment. In this work we present an experimental setup for resting-state fMRI of rabbits and preliminary data collected with it. Our setup relies on the natural tolerance of rabbit to restraint and a home-designed animal fixing cradle equipped with a 3-channel receiver coil.  

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In vivo longitudinal 1H MRS study of hippocampal, cereberal and striatal metabolic changes in the developing brain using an animal model of Chronic Hepatic Encephalopathy
Dunja Simicic1, Katarzyna Pierzchala2, Veronika Rackayova2, Olivier Braissant 3, Stefanita-Octavian Mitrea2, Dario Sessa4, Valerie McLin4, and Cristina Cudalbu Ramona2

1LIFMET, CIBM, EPFL, Lausanne, Switzerland, 2CIBM, EPFL, Lausanne, Switzerland, 3Neurometabolic Unit, Service of Clinical Chemistry, University Hospital of Lausanne, Lausanne, Switzerland, 4Swiss Center for Liver Disease in Children, University Hospitals Geneva, Geneva, Switzerland

Chronic hepatic encephalopathy (CHE) is a severe neuropsychiatric disorder associated with chronic liver disease (CLD). For children, the impairment of neurocognitive functions as a consequence of CLD seems to be irreversible. We aimed to investigate longitudinally, using in-vivo 1H-MRS, differences in metabolic changes between hippocampus, cerebellum and striatum of a developing brain in a rat model of CHE. We showed the most pronounced changes in metabolites in cerebellum, suggesting its increased vulnerability. Further delineation of regional changes in the brain in response to CLD may help elucidate the molecular and regional origins of neuromotor and neurocognitive changes associated with CLD.

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Impaired Functional Connectivity in a Rat Model and Humans with Fragile X Syndrome.
Joanna A.B. Smith1,2,3, Andrew G. McKechanie2,3,4, Milou Straathof5, Rick M. Dijkhuizen5, Sumantra Chattarji2,3,6, Andrew C Stanfield2,3,4, Sally M. Till1,2,3, and Peter C. Kind1,2,3

1Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom, 2Patrick Wild Centre, The University of Edinburgh, Edinburgh, United Kingdom, 3Simons Initiative for the Developing Brain, Edinburgh, United Kingdom, 4Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom, 5Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 6Centre for Brain Development and Repair, Institute for Stem Cell Biology and Regenerative Medicine, Bangalore, India

A key requirement for the effective development of novel therapies for Intellectual Disabilities is the ability to directly compare findings from basic neuroscience in rodent models with human studies. Functional magnetic resonance imaging offers a platform to overcome this translational barrier. Here, we use a parallel resting state fMRI approach in individuals with Fragile X Syndrome (FXS) and in a rat model of FXS using a 3T and 7T scanner respectively, and show that the loss of Fragile X mental retardation protein leads to a shared decrease in DMN connectivity in humans with FXS and rats that model this disorder.

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Imaging the evolution acute fear to anxiety: Longitudinal whole brain imaging in living mice of neural activity with MEMRI
Elaine L Bearer1,2, Daniel Barto3, and Rusell E Jacobs4

1Elaine Bearer, University of New Mexico Health Sciences Center, Albuquerque, NM, United States, 2Biology, California Institute of Technology, Pasadean, CA, United States, 3Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM, United States, 4Physiology, Zilkha Neurogenetic Institute USC, Los Angeles, CA, United States

Life-threatening events cause extreme fear, which evolves in vulnerable people into a debilitating mental illness--post-traumatic stress disorder (PTSD). Here we directly address how acute fear evolves to anxiety using high field MR in mouse models of PTSD, applying systems-wide longitudinal manganese-enhanced magnetic resonance imaging (MEMRI) to image whole brain responses to unconditioned fear, predator stress (PS), and progression or resolution over time. We report that serotonin transporter knock-out results in sustained anxiety-like behavior and altered neural activity after predator stress. Automated segmentation of SPM maps identifies m regions correlated with progression to PTSD for the first time.

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In Vivo MRI Reveals Increased  Brain Prefusion in Carbamoylated Erythropoietin Treated Mice
Yutong Liu1, Monica Sathyanesan2,3, and Samuel S Newton2,3

1Radiology, University of Nebraska Medical Center, Omaha, NE, United States, 2Basic Biomedical Sciences, University of South Dakota, Vermillion, SD, United States, 3Sioux Falls VA HealthCare System, Sioux Falls, SD, United States

In vivo MRI was used to detect and measure the brain hemodynamic action of carbamoylated erythropoietin (Cepo) in mice. Brain perfusion was measured using dynamic susceptibility contrast MRI, and BBB permeability was detected by pre- and post-contrast T1 mapping. It was found that Cepo caused increased cerebral blood flow and volume. Consistent pre- and post-contrast T1 values indicated no gadolinium leakage from vascular system to brain tissue. In summary, chronic Cepo treatment induced increased brain perfusion and this can be detected using in vivo MRI.

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Longitudinal 9.4 Tesla 1H MRS in the thalamus of the Theiler’s encephalomyelitis virus (TMEV) mouse model of multiple sclerosis
Poonam Choudhary1,2, Suyog Pol2, Marilena Preda3, Michele Sveinsson2, Robert Zivadinov2,3, and Ferdinand Schweser2,3

1Department of Medical Physics, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 3Center for Biomedical Imaging at the Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States

This study investigated thalamic metabolic alterations related to acute and chronic inflammation in mice infected with TMEV, a model of MS. TMEV-inoculation causes a biphasic neurological disease starting with an early acute inflammation of the subcortical gray matter (<1 month) and progressing into a late chronic demyelinating phase associated with oligodendroglial damage that develops into a neurodegenerative phase (>4 months).

Our hypothesis was that the influx of immune cells will result in increased glutamate and myoinositol in the acute phase, and that glutamate will further increase in the chronic phase whereas gamma-aminobutyric acid, N-acetylaspartate, and choline will decrease.


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Pre- and post-symptomatic longitudinal metabolic assessment of the Twitcher mouse model of Krabbe Disease at 9.4 Tesla
Poonam Choudhary1,2, Nadav I. Weinstock3, Marilena Preda4, Lawrence Wrabetz2,3, Robert Zivadinov2,4, and Ferdinand Schweser2,4

1Department of Medical Physics, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 3Department of Biochemistry, Hunter James Kelly Research Institute, Buffalo, NY, United States, 4Center for Biomedical Imaging at the Clinical and Translational Science Institute, University at Buffalo, The State Univeristy of New York, Buffalo, NY, United States

Krabbe Disease (KD) is a rare progressive globoid cell leukodystrophy caused by a deficiency of galactocerebrosidase (GALC), necessary for the metabolism of galactosylceramide and psychosine. Accumulation of these neurotoxic sphingolipids results in demyelination, neuroinflammation and ultimately death in infancy. This study aimed to investigate if localized proton magnetic resonance spectroscopy (1H-MRS) may serve as useful markers to detect pre-symptomatic metabolic alterations related to KD.

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4D Real-time BOLD MRI in Genetically Engineered Mouse Brains with Acute Hypoxia Challenge
Anthony G Christodoulou1, George C Gabriel2, Cecilia W Lo2, and Yijen L Wu2,3

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States, 3Rangos Research Center Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States

The objective of this study is to develop 4D time-resolved high-resolution BOLD MRI by combining low-rank sparse imaging and compressed sensing.   By expressing a dynamic BOLD image as the product of a set of basis images and temporal functions, we are able to capture differential dynamic BOLD responses to oscillating hypoxia challenge in high-resolution 3D space in genetically engineered mouse brains.    

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Effects of daily high and low frequency low-intensity repetitive transcranial magnetic stimulation in rats: A longitudinal rs-fMRI study
Bhedita J Seewoo1,2,3, Kirk W Feindel3, Sarah J Etherington4, and Jennifer Rodger1,2

1Experimental and Regenerative Neurosciences, The University of Western Australia, Crawley, Australia, 2Brain Plasticity Group, Perron Institute for Neurological and Translational Research, Nedlands, Australia, 3Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, Nedlands, Australia, 4School of Veterinary and Life Sciences, Murdoch University, Murdoch, Australia

Repetitive transcranial magnetic stimulation (rTMS), a novel non-invasive brain stimulation technique, has been shown to modulate dysfunctional brain networks in humans. However, despite anecdotal evidence that rTMS effects tend to wear off, there are no reports of fMRI studies, even in humans, mapping the therapeutic duration of rTMS effects. Here, we investigated the cumulative effects of daily low-intensity rTMS on rodent resting-state networks using rs-fMRI and mapped for persistence for up to three weeks. Our study confirms the frequency-specific effects of rTMS and shows that 1 Hz stimulation has milder, but longer-lasting effects on functional connectivity than 10 Hz stimulation.

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Upregulation of Rac1 activity related to structural and functional neuroimaging changes in mouse brain at 11.7T
Wenjing Xu1,2, Ying Liu 1,2, Garth Thompson3, and Xiaoyong Zhang1,2

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Shanghai, China, 3iHuman Institute, ShanghaiTech University, Shanghai, China

Rac1 is critical for synapse remodeling. In this work, we investigated whether Rac1 could induce neuroimaging changes in a transgenic mouse model using structural MRI, resting state-fMRI and MRS at 11.7T. Our data showed that the volume of the medial prefrontal cortex (mPFC) is significantly decreased in Rac1 activation group. Moreover, we found that the upregulation of Rac1 activity is related to increased functional connectivity in mouse brain. However, Glx or GABA levels do not show significant changes in mPFC. We concluded that the upregulation of Rac1 activity is related to structural and functional neuroimaging changes.

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Performance of sodium, ultrafast diffusion, and MPIO stem cell tracking MRI classification of sub-acute ischemic stroke recovery at 21.1T
Avigdor Leftin1,2,3, Jens Rosenberg4, Xuegang Yuan5, Teng Ma5, Samuel Colles Grant4,5, and Lucio Frydman2,4

1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 3Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 4National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 5Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States

MRI leverages multiple modes of contrast to characterize stroke. Acute phase stroke detection has focused on multiparametric MRI contrasts such as T2-weighting (T2w), apparent diffusion coefficient (ADC), and sodium level. Evaluation of these contrasts with theranostic cell tracking during the subacute recovery phase at ultrahigh field has not been investigated to a similar extent.  Here multiparametric MRI evaluation of ADC, 23Na, and MPIO stem cell tracking in a rodent MCAO model at 21.1T was used to determine parametric correlations and receiver operator performance.  Differential parametric time-dependence and sensitivities are observed that inform future high-and low field studies of stroke recovery.

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Contrast-enhanced MR microangiography of cortical vascular remodeling after unilateral internal carotid artery occlusion in the mouse
Philipp Boehm-Sturm1,2, Till de Bortoli3,4, Stefan Paul Koch1,2, Melina Nieminen3, Susanne Mueller1,2, Giovanna Diletta Ielacqua5, Jan Klohs5, Ulrich Dirnagl1, Peter Vajkoczy3, and Nils Hecht3

1Department of Experimental Neurology and Center for Stroke Research Berlin, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 2Cluster of Excellence NeuroCure and Charité Core Facility 7T Experimental MRIs, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Department of Neurosurgery and Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany, 4Charité Comprehensive Cancer Center, Charité – Universitätsmedizin Berlin, Berlin, Germany, 5Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland

Collateral flow is an important, yet poorly understood compensatory mechanism in response to brain hypoperfusion. Unilateral internal carotid artery occlusion in the mouse is a model to study collateral growth of penetrating arterioles. We hypothesized that this process could be assessed in vivo by high resolution MR microangiography with iron oxide nanoparticles. Since our MR vessel density measurements contradicted previous histological findings we established atlas tools to validate angiograms with microscopy on vessel-stained tissue slices or with whole brain serial two photon microscopy.

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Brain GABA Levels of P5 Wild Type and Fragile X Mouse Model (FMR1 KO): Comparison of Mass Spectroscopy and In vivo 1H MRS
Sanaz Mohajeri1, Samantha T Reyes1, Scarlett G. Guo1, Karolina M Krasinska1, Laura J Pisani1, Daniel Mark Spielman1, and Fredrick T Chin1

1Stanford University, Palo alto, CA, United States

An imbalance between excitatory glutaminergic and inhibitory GABAergic processes is one of the leading hypotheses for fragile X syndrome. We investigated GABAergic differences by measuring brain GABA levels of male five-day-old mouse pups (P5) in Wild-Type (WT) and Fragile X knockout (FMR1 KO) models. .. Ex vivo mass spectrometry detected thalamus and frontal differences in both WT and FMR1 KO models and lower GABA levels in the FMR1 KO animals. In vivo 1H spectra at 7T found similar regional GABA differences between thalamus- and frontal-rich regions, but was unable to detect Wild-Type versus FMR1 KO differences.

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Investigation of cerebral metabolite changes in the dorsolateral and ventrolateral prefrontal cortex of adult macaques with neonatal hippocampal lesions
Chun-Xia Li1, Christa Payne2, Xiaoping Hu3, Jocelyne Bachevalier2,4, and Xiaodong Zhang1,4

1Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States, 2Department of Psychology and Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States, 3Department of Bioengineering, University of California, Riverside, CA, United States, 4Division of Neuropharmacology and Neurologic Disease, Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States

In the present study, in vivo MR spectroscopy was employed to investigate the neuro-metabolites changes of dorsolateral prefrontal cortex (DLPFC) and ventrolateral prefrontal cortex (VLPFC) in adult macaques with neonatal hippocampus lesion (Neo-H).  Significant metabolite changes were seen in the right DLPFC of the Neo-H monkeys but not in the VLPFC, and significantly correlated with the working memory scores. Also, lateralization of the cerebral metabolite changes was observed. The results suggest that the neuro-metabolites changes in DLPFC and VLPFC of adult monkeys resulted from early insult to the hippocampus and the effect is mainly seen in the right hemisphere.

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Reduced cerebral blood flow measured in the EAE mouse model of multiple sclerosis using perfusion MRI
Taelor Evans1,2,3,4, A. Max Hamilton1,2,3,4, Erin Stephenson2,3, V. Wee Yong2,3, and Jeff F. Dunn1,2,3,4

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 4Experimental Imaging Center, University of Calgary, Calgary, AB, Canada

Multiple sclerosis (MS) is a chronic neurological disease involving inflammation. Brain hypoxia, or low brain oxygenation, in MS is an emerging field of study. It has been shown that some MS patients have reduced cerebral blood flow (CBF), but the mechanism is unclear. Experimental autoimmune encephalomyelitis (EAE) is a mouse model used to study inflammation-associated neurodegeneration. Using perfusion MRI and immunohistochemistry, we demonstrated that CBF reduction in EAE may be due to cerebral blood vessel occlusion in response to systemic inflammation. CBF reduction, coupled with brain inflammation, is a likely cause of hypoxia in MS.

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Using a multimodal near-infrared spectroscopy and MRI system to quantify gray matter metabolic rate for oxygen: A hypothermia validation study
Mada Hashem1,2,3,4,5, Ying Wu2,3,4,5, and Jeff F. Dunn1,2,3,4,5

1Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada, 2Department of Radiology, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Istitute, University of Calgary, Calgary, AB, Canada, 4Experimental Imaging Centre, University of Calgary, Calgary, AB, Canada, 5Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

Non-invasive quantitative imaging of cerebral oxygen metabolism (CMRO2) in mice is crucial to understand the role of oxidative metabolism in neurological diseases. We are developing a multimodal method combining near-infrared spectroscopy and high-field MRI to non-invasively study oxygen delivery and consumption in the cortex of mouse models of neurological disease. In this study, the feasibility of the NIRS-MRI technique to detect changes in CMRO2 in the mouse brain was assessed using a mild hypothermia, known to reduce metabolic rate. A decrease of 23% in CBF and 46% in CMRO2 was observed, which is consistent with previously published values.

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MRI Discriminates between the Aged and Aged Diabetic Brain of Rats
Guangliang Ding1, Michael Chopp1,2, Lian Li1, Li Zhang1, Esmaeil Davood-Bojd1, Qingjiang Li1, Min Wei1, Zhenggang Zhang1, and Quan Jiang1,2

1Henry Ford Hospital, Detroit, MI, United States, 2Oakland University, Rochester, MI, United States

Aging and diabetes both affect brain structure and physiology. To distinguish changes in brain induced by normal aging from diabetes in the aging brain, MRI measurements were performed on three groups of young, aged non-diabetic and correspondingly aged diabetic rats. MRI measurements, i.e., T1, T2, CBF, CE-T1WI, MD, FA, MK and Entropy were performed. Our data indicate that select MRI metrics FA of white and grey matter, and combination of T1 and T2 of grey matter are able to discriminate cerebral changes caused by aging and age-equivalent diabetes.

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Longitudinal monitoring of brain glutamate levels using gluCEST in a rat model of Huntington’s disease
Julien Flament1, Jérémy Pépin1, Julien Valette1, and Emmanuel Brouillet1

1MIRCen, CEA, Fontenay-aux-Roses, France

Huntington’s disease (HD) is an inherited neurodegenerative disease characterized by motor, cognitive and psychiatric symptoms. As glutamate has been shown to be a potential biomarker of neurodegenerative diseases, we used Chemical Exchange Saturation Transfer imaging of glutamate (gluCEST) to map cerebral glutamate distribution in a rat model of HD. The longitudinal follow-up of brain glutamate levels reveals different variations between HD and control animals, suggesting that gluCEST may serve as a potential biomarker of HD, especially at asymptomatic stage.

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Serial MRI to Assess Effects of Drug Particle Size on Inflammation and Pharmacokinetics to Support Development of Long Acting Parenteral Formulations
Stephen Lenhard1, Mary Rambo1, Tracy Gales2, Taki Kambara3, Cindy Fishman3, Valeriu Damian4, Nima Akhavein5, Matt Burke5, and Beat Jucker1

1Bioimaging, GlaxoSmithKline, Collegeville, PA, United States, 2Histology, GlaxoSmithKline, Collegeville, PA, United States, 3Pathology, GlaxoSmithKline, Collegeville, PA, United States, 4Modeling and Translational Biology, GlaxoSmithKline, Collegeville, PA, United States, 5Drug Delivery, GlaxoSmithKline, Collegeville, PA, United States

We evaluated the effect of Long Acting Parenteral particle size on drug depot kinetics and inflammation using ultra small paramagnetic iron oxide (USPIO) T2W MRI. Our results showed an immediate post injection difference in inflammatory response and histological confirmation of greater muscle injury in the smaller micronized (1um) particle group compared to larger 20um particle formulation. The imaging of the drug depot in vivo with MRI combined with drug PK, tissue biodistribution, and histology allows for the development of individual Physiological Based PK models of drug biodistribution which would add significant scientific value to drug development.



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Spectroscopy and sodium analysis of dissociated cellular therapy in acute ischemia at 21.1 T
Shannon Helsper1,2, F. Andrew Bagdasarian1,2, Xuegang Yuan2, Nastaren Abad1,2, Jens T. Rosenberg1, Teng Ma2, and Samuel Colles Grant1,2

1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States

This study evaluates biochemical markers in a rat model of acute ischemia at 21.1 T following administration of human mesenchymal stem cells dissociated (d-hMSC) from 3D aggregates utilizing sodium (23Na) chemical shift imaging (CSI) and relaxation-enhanced MRS. High field 1H MRS provides sensitive longitudinal metabolic mapping of biological markers including lactate, NAA, creatine and choline in response to cellular treatment. Evaluation of 23Na CSI provides insight into cerebral ionic homeostasis and tissue recovery following acute neurodegeneration by tracking ischemic lesion volumetrics.


Experimental Model of CNS Disease: Structural/Diffusion

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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In Vivo MRI characterization of the effect of neuroprotection after nerve agent poisoning in rats
Alexandru V Korotcov1,2, Asamoah Bosomtwi1,2, Ranjini Vengilote3, Narayanan Puthillathu3, John Moffett3, Arun Peethambaran3, Andrew Knutsen1,2, Shalini Jaiswal1,2, Nathanael Allison1,4, Aryan M Namboodiri3, and Bernard J Dardzinski1,4

1Radiology & Radiological Sciences, Uniformed Service University, Bethesda, MD, United States, 2Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation, Bethesda, MD, United States, 3Anatomy, Physiology and Genetics, Uniformed Service University, Bethesda, MD, United States, 4Center for Neuroscience and Regenerative Medicine, Uniformed Service University, Bethesda, MD, United States

Organophosphate poisoning is a major public health problem in developing countries. Organophosphates cause prolonged seizures and leads to neurodegeneration and functional defects. Current therapies are largely ineffective. Several advanced neuroimaging techniques demonstrate promise to detect subtle changes in brain activity and morphology related to organophosphate nerve agent poisoning, which would allow for the in vivo assessment of new therapeutics. In this study we use in vivo MRI and immunohistochemistry to demonstrate that fluorinated volatile anesthetics are an effective post-exposure neuroprotectant and can be used for organophosphates poisoning treatment.

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Ultra-High-Resolution Diffusion Tensor MRI Detects Early Axonal Connectivity Anomalies in Hippocampal Regions of ALS Mice
Rodolfo G Gatto1,2, Manish Y Amin3, Ariel Finkielsztein4, Ronen Sumagin4, Thomas H Mareci5, and Richard L Magin1

1Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 2Anatomy and Cell Biology, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Physics, University of Florida, Gainesville, FL, United States, 4Department of Pathology, Northwestern University, Chicago, IL, United States, 5Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States

Ultra-High field (UHF) MRI has been in continuous development as a new tool to investigate ultrastructural microscopic details in neuropathology. In this study we use UHF-MRI (17.6T) to investigate presymptomatic changes in the hippocampus of animal models of ALS (G93A-SOD1 mice). Using an ALS fluorescent transgenic mouse reporter and optical confocal microscopy, we demonstrated that microstructural changes detected by MRI diffusion can be related to very early alterations in axonal connectivity. This study constitutes a stepping stone for the application of more complex diffusion models in inhomogeneous brain tissue as a non-invasive exploration of neuropathology in ALS.

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The generalized effect of diffusion on quantitative T2 mapping in preclinical scanners
Natalie Bnaiahu1, Ella Wilczynski1, Noam Omer1, Tamar Blumenfeld-Katzir1, Shir Levy2, and Noam Ben-Eliezer1,3,4

1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2School of Chemistry, Tel Aviv University, Tel Aviv, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

Diffusion has a clear effect on qT2 measurements especially at high resolutions, caused by the imaging gradients. SSE and MSME protocols were used to scan a phantom and an in-vivo brain.  An equation representing the effective b value of the applied pulse sequence (MSME) was developed to estimate the attenuation of the signal caused by diffusion.  T2 values calculated without correcting the diffusion effect showed high variability between scans with different parameter sets. After correction T2 values increased and showed excellent agreement. The method demonstrated here is generalized and can apply to different pulse sequences, it improves accuracy and stability.


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3D printed-phantoms dedicated to pre-clinical imaging systems for quality control
Sylvain Miraux1, Aurélien J Trotier1, Colleen Cardiet1, Stéphane Loubrie1, Laurence Dallet1, Thibaut Faller1, William Lefrançois1, and Emeline J Ribot1

1CNRS - Univ. Bordeaux, CRMSB UMR 5536, BORDEAUX Cedex, France

3D printing is a fantastic tool for creating prototypes. In parallel, pre-clinical imaging systems have been democratized for longitudinal studies of small animal models. However, for these systems, standardized phantoms for quality control do not exist yet. The aim of the work presented here is to show that phantoms of different shapes and sizes can be 3D printed to characterize preclinical imaging systems or sequences developed by research groups. As an example, images were acquired with a 70μm in plane resolution to study the influence of Cartesian and Radial encodings on the spatial resolution using a mouse dedicated phased array coil at 7T.

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The mechanical signature of the dying brain
Gergely Bertalan1, Jürgen Braun2, Stefanie Schreyer3, Barbara Steiner3, Charlotte Klein3, Angela Ariza1, Eric Barnhill1, Ingolf Sack1, and Jing Guo1

1AG Elastography, Experimental Radiologie, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Institue for Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany

In this study the mechanical properties of the mouse brain were continuously sampled by fast magnetic resonance elastography during ketamine/xylazine induced dying. Mechanical properties were correlated with metabolic and physiological imaging markers. Immediately after respiration arrest, stiffness of the whole brain and the hippocampus increased significantly while cardiac functioning was intact and reached a plateau ca. 5 min after ECG stop. Stiffness increase was inversely correlated with diffusion decrease. Results suggest that during the process of dying cytotoxic edema and brain swelling occurs leading to significant tissue stiffening.

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Structural changes in a rat model of traumatic brain injury and challenges of preclinical registration in the presence of lesions
Maria Yanez Lopez1, Nicoleta Baxan2, Cornelius Donat1, Pete Hellyer3, Mazdak Ghajari4, Magdalena Sastre1, and David Sharp1

1Medicine, Imperial College London, London, United Kingdom, 2Biological Imaging Centre, Imperial College London, London, United Kingdom, 3Neuroimaging, King's College London, London, United Kingdom, 4Dyson School of Design Engineering, Imperial College London, London, United Kingdom

The aim of this work was to develop an automated pipeline to study structural changes in a rat model of TBI using T1/T2-weighted images. Our results show that the CCI model causes focal alterations in grey matter in the proximity of the injury, with a visible edema 14 days after injury in T2-weighted images, plus damage in the white matter (corpus callosum). These hyper-intense lesions complicate registration and require optimisation of the affine step, together with skull stripping of the brain of injured rats.

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Automatic brain segmentation framework for bias field rich cranial MRI scans of rats and mice via similarity invariant shape priors
Jacob Daniel Kirstejn Hansen1, François Bernard Lauze1, Sune Darkner1, Julia M Huntenburg2, Kristian Nygaard Mortensen3, Simon Sanggaard3, Hedok Lee4, Helene Benveniste4, and Maiken Nedergaard3,5

1Department of Computer Science, University of Copenhagen, Copenhagen, Denmark, 2Champalimaud Centre for the Unknown, Champalimaud Research, Lisbon, Portugal, 3Center for Translational Neuromedicine, University of Copenhagen, Copenhagen, Denmark, 4Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, United States, 5Center for Translational Neuromedicine, University of Rochester, Rochester, NY, United States

This abstract presents an extension to our previous work for the extraction of rat brain tissue and internal cerebrospinal fluid networks in MR imaging of rat crania that display severe bias fields. This work contributes automation and robustness in the skull stripping module by introducing an automatic similarity invariant shape prior segmentation method. We demonstrate the capabilities of our framework on both rat brain as well as mouse brain data, using the same minimal number of rat brain priors.

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Preclinical detection of leptomeningeal inflammation in the myelin oligodendrocyte glycoprotein (MOG) induced experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis (MS)
Zachary Smith1, Nicola Bertolino1, Suyog Pol1, Marilena Preda1,2, Michelle Sveinsson1, Robert Zivadinov1,2, and Ferdinand Schweser1,2

1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States

Clusters of inflammatory cells in the leptomeningeal compartment are suspected to contribute directly to subpial cortical demyelination and neurodegeneration in patients with multiple sclerosis (MS). Clinical post-contrast 3D T2-FLAIR detects these clusters through the leakage of a T1 contrast agent into inflammatory foci and the subarachnoid space, referred to as leptomeningeal contrast enhancement (LMCE). While leptomeningeal inflammation has been reported in rodent models of MS, LMCE has not been used to study disease pathology in the preclinical setting.

In this work, we present an imaging protocol for LMCE imaging in the experimental autoimmune encephalomyelitis myelin oligodendrocyte glycoprotein (EAE-MOG) murine model of MS at 9.4 Tesla.


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Diffuse white matter disease revealed in novel rat model of cerebral amyloid angiopathy type 1 by multi-modality MRI at 9.4T.
Hedok Lee1, Sunil Koundal1, Xiaodan Liu1, Feng Xu2, Simon Sanggaard1, William E. Van Nostrand2, and Helene Benveniste1

1Department of Anesthesiology, Yale University, New Haven, CT, United States, 2Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, United States

A novel cerebral amyloid angiopathy type 1 rat model which robustly develops microvascular amyloid beta deposits is studied. We report that this animal model develops white matter atrophy, cerebral micro-bleed, and loss of white matter integrity. These findings are corroborated by immunohistochemistry showing axonal disruption and vacuolization.

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Neuroimaging Microglia: Development of a Quantitative Multi-Compartment Diffusion MRI Biomarkers of Microglial Density
JOHN-PAUL J Yu1

1Departments of Radiology, Biomedical Engineering, and Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States

Neuroinflammation plays a critical role in neurologic and psychiatric disorders of the central nervous system (CNS) from ischemic stroke and traumatic brain injury to Alzheimer’s disease, schizophrenia, and major depression. The application of multi-compartment diffusion MRI techniques for the robust, non-invasive, and quantitative evaluation of microglial morphology and density in the setting of acute and chronic neuroinflammation would represent an important advancement in understanding, identification, and therapeutic monitoring of microglia across a broad spectrum of acute and chronic disorders of the CNS. We present the first evidence and application of multi-compartment diffusion MR techniques for the sensitive detection of changes in microglial density throughout the brain.

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Optimized quantification of T2 relaxation times using gel phantoms in animal models for high-consequence pathogens in a Biosafety Level 4 environment
Marcelo Adrián Castro1, Ji Hyun Lee1, Joseph Laux1, Harry Friel2, Jeffrey Solomon3, David Thomasson1, and Dima Hammoud4

1National Institute of Allergy and Infectious Diseases - Integrated Research Facility, National Institutes of Health, Fort Detrick, MD, United States, 2Philips Healthcare, Highland Height, OH, United States, 3Clinical Monitory Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, National Institutes of Health, Frederick, MD, United States, 4Clinical Center, National Institutes of Health, Bethesda, MD, United States

This experiment improved the accuracy of in vivo T2 measures used to evaluate blood brain barrier (BBB) disruption and subtle cerebral edema in non-human primate models of high-consequence viral infections in a Bio-Safety Level 4 (BSL-4) environment.  In a healthy non-human primate, we used four gel phantoms to optimize T2 relaxation times and investigated dependence of T2 on echo times. This methodology improved the accuracy of T2 estimation using fast spin echo sequences and phantoms. We hypothesized that reliable T2 values can be obtained by adding a phantom-calibration step to the T2 map calculation.

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Neuroimaging of Nipah Virus infection in an African Green Monkey Model
Ji Hyun Lee1, Yu Cong1, Joseph Laux1, Marcelo Castro1, Matthew Lackemeyer1, Jordan Bohannon1, Oscar Rojas1, Jeffery M. Solomon2, Irwin M. Feuerstein1, Vincent Munster3, Dima A. Hammoud4, and Michael R. Holbrook1

1IRF, NIAID/NIH, Frederick, MD, United States, 2Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, NCI Campus, Frederick, MD, United States, 3Virus Ecology Unit, Laboratory of Virology, Rocky, Mountain Laboratories, NIAID/NIH, Hamilton, MT, United States, 4Clinical Center, NIH, Bethesda, MD, United States

The purpose of this study was to utilize MRI to assess alterations in the brain that occur in African Green Monkeys infected with Nipah virus (NiV) via aerosol inoculation. Within 15 days of exposure to NiV, signal alterations were observed in the brain in T2-weighted, fluid-attenuated inversion recovery, and diffusion-weighted images, suggestive of infarction, inflammation and edema induced by NiV. The identification of non-invasive imaging biomarkers of acute NiV neurologic disease progression in this animal model could aid in the examination of potential vaccines and therapeutics.

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Comparison of Undersampling Capability of Magnetic Resonance Fingerprinting Using Rosette and Variable Density Spiral Trajectories
Yuning Gu1, Charlie Y. Wang1, Yuchi Liu1,2, Charlie Androjna3, and Xin Yu1,2,4

1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States, 4Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States

The undersampling capability of magnetic resonance fingerprinting (MRF) using Rosette (ROS) and variable density spiral (VDS) trajectories was compared in this study. With a high undersampling factor, ROS-based MRF showed more uniform T1 and T2 mapping in phantoms with reduced errors. However, ROS reconstructed images of mouse brain showed slightly reduced SNR and off-resonance related artifacts, leading to similar undersampling capability as VDS-based MRF in vivo.

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Evaluation of Diffusion-Weighted Imaging of the Macaque Brains Using Diffusion-Prepared TSE
Jialu Zhang1,2, Dingxin Wang2, Xiufeng Li2, Kamil Ugurbil2, Anna Wang Roe1, and Xiaotong Zhang1

1Interdisciplinary Institute of Neuroscience and Technology, Qiushi Academy for Advanced Studies, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Center for Magnetic Resonance Research, School of Medicine, University of Minnesota, Minneapolis, MN, United States

A major challenge with EPI-based diffusion-weighted imaging (dMRI) is magnetic field inhomogeneity-associated distortion and signal loss. We implemented a mono-polar diffusion-preparation module for TSE sequence (DP-TSE) as an alternative to achieve distortion-free, high-resolution diffusion imaging with improved signal-to-noise ratio (SNR). Such an approach has been demonstrated in human subjects with a promising potential. We want to further evaluate the robustness of the implemented DP-TSE sequence and the feasibility of applying this approach for anesthetized macaques, and investigate whether DP-TSE is superior to alternative dMRI method in terms of imaging quality and SNR efficiency.

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Neurochemical and structural early changes and onset time in 5xFAD model: MRS and VBM studies
Jang Woo Park1, In OK Ko2, Kyung Jung Kang2, and Ji Ae Park2

1Korea Drug Development Platform using Radio-isotope, Korea Institute of Radiological & Medical Sciences, Seoul, Korea, Republic of, 2Division of Applied RI, Korea Institute of Radiological & Medical Sciences, Seoul, Korea, Republic of

We investigated early neurochemical and structural changes in 5xFAD model using magnetic resonance spectroscopy (MRS) and Voxel-based morphometry (VBM). At 6 months, it was confirmed that Glu, NAA, Tau and volume, which is characteristic of Alzheimer’s disease (AD) model, decreased in hippocampus of 5xFAD model.

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Voxelwise and morphometric analysis using diffusion tensor MRI microscopy reveals distinct microstructural and morphometric abnormalities in ferret brain development after gestational infection with the Zika virus
Elizabeth B Hutchinson1,2, Laura D Reyes1,2, Okan Irfanoglu1, Sharon L Juliano3, and Carlo Pierpaoli1

1NIBIB, NIH, Bethesda, MD, United States, 2Henry M. Jackson Foundation, Inc, Bethesda, MD, United States, 3APG, USUHS, Bethesda, MD, United States

An efficient pipeline for the processing and analysis of diffusion MRI microscopy data has been applied to study neurodevelopmental abnormaities in a ferret model of Zika infection.  Individual and group differences in DTI values were found using Z-score and Cohen’s D maps to compare Zika treated and untreated P0 ferret brain specimens.  Morphometric abnormalities were also identified using DTI-driven tensor based morphometry (DTBM) to show reduced local volume in the developing cortex.  These results highlight the utility of this pipeline and advance the basic understanding of neurodevelopmental abnormalities that can result from exposure to the Zika virus during gestation.

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Improvements in specificity by non-Gaussian diffusion modeling and double diffusion encoding (DDE) to characterize axonal injury
Elizabeth B Hutchinson1,2, Dan Benjamini3, Peter Basser3, Carlo Pierpaoli1, and Michal E Komlosh3

1NIBIB, NIH, Bethesda, MD, United States, 2Henry M. Jackson Foundation, Inc, Bethesda, MD, United States, 3NICHD, NIH, Bethesda, MD, United States

Diffusion MRI techniques that extend beyond diffusion tensor imaging (DTI) – including acquisition strategies and advanced modeling – could provide more specific tools to probe abnormalities in disease or injury states.  To evaluate similarities and distinctions across several prominent diffusion MRI strategies in the context of injury, we acquired multi-shell diffusion weighted images (DWIs) and double diffusion encoded (DDE) DWIs in healthy and injured ferret spinal cords.  Scalar metrics from DTI, diffusion kurtosis imaging (DKI), mean apparent propagator MRI (MAP-MRI) and DDE-based axonal modeling were directly compared to reveal the ways in which each approach can specify key features of cellular alterations.  

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Evaluation of Neuroprotective Effects of Cyclosporine in a Porcine Model of Focal Traumatic Brain Injury using Diffusion Tensor Imaging
Nile Delso1, Michael Karlsson1,2,3,4, Bryan Pukenas5, Johannes K. Ehinger1,2,3, Sumei Wang5, Matilda Hugerth2, Eskil Elmér2,3, Suyash Mohan5, Magnus J. Hansson2,3, Todd Kilbaugh1, and Sanjeev Chawla5

1Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Neurovive Pharmacuetical AB, Lund, Sweden, 3Mitochondrial Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden, 4Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark, 5Department of Radiology, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, United States

A moderate focal contusion injury model in swine was used to evaluate treatment response to cyclosporine, a neuroprotective agent, using diffusion tensor imaging. This work builds upon the recent work in which we demonstrated improved neurological outcomes after administration of cyclosporine in the acute time period following traumatic brain injury (TBI).  Regions of interests were drawn on the peri-contusion regions. We observed significant elevations in FA and CL and significant decline in CS from cyclosporine groups compared to those of placebo. These findings suggest that DTI may be useful in assessing treatment response to cyclosporine in a porcine model of TBI.

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Vulnerable Networks in the Aging Mouse Brain
Wenlin Wu1, Robert J Anderson2, Serge Koudoro3, Eleftherios Garyfallidis 3, David Dunson4, Carol A Colton5, and Alexandra Badea2

1Pratt School of Engineering, Duke University, Durham, NC, United States, 2Radiology, Duke Univ Medical Center, Durham, NC, United States, 3School of Informatics, Computing and Engineering, University of Indiana, Bloomington, IN, United States, 4Statistical Science, Duke University, Durham, NC, United States, 5Duke University Medical Center, Durham, NC, United States

Despite recent advances in aging research, the underlying mechanisms of selective brain vulnerability to aging remain to be elucidated. Mouse models may provide useful tools to dissect the mechanisms behind age and sex associated vulnerability of brain circuits. We used high resolution accelerated protocols and tensor network analyses to reveal structural network differences in aging C57BL/6 mice.

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MRI Correlates of Neurological Outcomes in a Rat Spinal Cord Injury Model
Matthew Budde1, Natasha Wilkins1, Brian Schmit2, and Shekar Kurpad1

1Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biomedical Engineering, Marquette University & Medical College of Wisconsin, Milwaukee, WI, United States

This work evaluated the prognostic potential for quantitative MRI measures of the spinal cord compared to neurological assessments in a rat model of spinal cord injury.  The results demonstrate in the acute setting, that a double diffusion encoded spectroscopy acquisition has greater accuracy than either DWI-EPI or T2 mapping while in the chronic setting, measures of spinal cord atrophy perform better than DWI measures.  These results set the basis for future patient studies to improve MRI biomarkers in spinal cord injury.

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Ultra-high-resolution postmortem MRI of cortical lesions in a nonhuman primate model of multiple sclerosis
Maxime Donadieu1, Diego Szczupak2, Seung Kwon Ha1, Daniel T Abraham1, Emily C Leibovitch3, Joseph R Guy1, Cecil CC Yen2, Erin S Beck1, Afonso C Silva2, Steve Jacobson3, Pascal Sati1, and Daniel S Reich1

1Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 2Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institutes of Health, Bethesda, MD, United States, 3Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States

Experimental autoimmune encephalomyelitis (EAE) in the common marmoset (Callithrix jacchus) shares important pathological and radiological similarities with MS. However, cortical pathology in this model has not been investigated by MRI. The purpose of this study is to examine, for the first time, whether cortical lesions can be visualized by MRI in this model. Similar to MS patients, we report the MRI detection of MS-like cortical lesions in postmortem EAE marmoset. These findings further reinforce the proximity between this animal model and the human disease.

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Automatic Measurement of Infarct Volume and Prediction by Pial Collaterals in Experimental Acute Ischemic Stroke
Yong Ik Jeong1, Gregory A Christoforidis2, Niloufar Saadat2, Keigo Kawaji2,3, Charles G Cantrell2, Steven Roth4, Marek Niekrasz2, and Timothy J Carroll2

1Northwestern University, Evanton, IL, United States, 2University of Chicago, Chicago, IL, United States, 3Illinois Institute of Technology, Chicago, IL, United States, 4University of Illinois at Chicago College of Medicine, Chicago, IL, United States

Tissue infarct due to major vessel occlusion depends on the compromised blood flow and the time since onset. Compromised blood flow may be sustained by recruitment of pial collateral vessels. In this study, the extent of pial collateral recruitment was used to predict infarct volume in an experimental middle cerebral artery occlusion animal model with and without norepinephrine and hydralazine. An automatic method of infarct volume measurement was developed to minimize user variability and time. The automatically calculated infarct volumes were highly correlated to manually measured volumes, and pial collaterals were predictive of infarct volume.

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Development of a Swine Model to Evaluate Radiation-Induced Brain Injury: A Preliminary Report
Whitney D. Perez1, Ilektra Athanasiadi2, David A. Edmondson1, Jeannie Plantenga2,3, and Carlos J. Perez-Torres1,3

1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, United States, 3Center for Cancer Research, Purdue University, West Lafayette, IN, United States

Radiation-induced brain injury (RIBI) is an irreversible and progressive long-term effect of radiation therapy. Current pre-clinical experiments use mouse models, which do not accurately replicate the pathology as seen in humans. We chose to simulate RIBI within a swine model because its brain structures are more comparable to human brain structures. Our preliminary findings show similar resemblances to the pathologies seen in human patients affected by RIBI.

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Postnatal Ocular Development in Normal and Visually Impaired Rats using in vivo Multi-Modal MRI
Malack Hamade1, Hassan Hamade1, Swarupa Kancherla2, and Kevin C. Chan1,3

1Department of Ophthalmology, New York University School of Medicine, New York, NY, United States, 2Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States, 3Department of Radiology, New York University School of Medicine, New York, NY, United States

Ocular development is a complex process yet limited tools are currently available for non-invasive and longitudinal studies of the whole eye while minimizing biovariability. Using 7-Tesla MRI, we showed the growth characteristics of the anterior chamber and posterior chamber, the lens and the vitreous humor of rats from postnatal day 1 to 60 and compared the development of these three compartments between normal and impaired states. We conclude that MRI is an effective tool in characterizing normal and abnormal postnatal ocular growth over time before and after eyelid opening.

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In vivo MRI characterization of a mouse model of vanishing white matter disease
Xiaomeng Zhang1, Bradley A Hooker 1, Arthur Nikkel1, Holly M Robb1, Ana M Basso1, Ann E. Tovcimak1, Carmela Sidrauski2, Gerard B. Fox1, Kathleen Martin2, Michael J. Dart1, and Yanping Luo1

1Discovery, Global Pharmaceutical Research and Development, Abbvie, North Chicago, IL, United States, 2Calico Life Sciences LLC, South San Francisco, CA, United States

Vanishing White Matter Disease (VWMD) is a rare genetic disorder characterized by white matter degeneration. Here we employed MRI to longitudinally characterize pathological changes in white matter with contrasts sensitive to pathology (T2W) and myelin integrity (MTR, DTI).  Statistically significant difference were detected in T2W and MTR comparing wild-type and homozygous mice starting at 14 and 22 weeks of age, respectively. These differences between the wild-type and homozygous mice were observed before symptomatic behavioral changes, and became more prominent over the time.  Correlations with immunohistochemistry markers provided underlying pathology corresponding to the observed imaging changes.


Cerebral Vessel Imaging

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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Clinical reliability of 3D whole-brain vessel wall imaging in patients with intracranial atherosclerotic disease: a comparison with conventional targeted imaging
Na Zhang1, Xinfeng Liu1,2, Qi Yang3, Shlee S. Song4, Zhenliang Xiong1,5, Lei Zhang1, Hairong Zheng1, Xin Liu1, and Zhaoyang Fan3,6

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Radiology, Guizhou Provicial People's Hospital, Guiyang, China, 3Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, 4Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA, United States, 5Guizhou University School Of Medicine, Guiyang, China, 6Department of Medicine, University of California, Los Angeles, CA, United States

Conventional intracranial MR vessel wall imaging (VWI) techniques based on 3D turbo spin-echo (TSE), with a thin, oblique slab to specifically target a limited imaging volume, have been shown to be reliable in quantifying vessel morphology of intracranial atherosclerotic disease (ICAD). Recently, 3D whole-brain VWI was proposed and optimized offering large spatial coverage, improved cerebrospinal fluid suppression, and enhanced T1 weighting and exhibits excellent reproducibility in quantification of vessel dimensions in healthy volunteers. This study is to further evaluate the clinical reliability of 3D whole-brain VWI in patients with ICAD via a comparison with 3D targeted VWI and 2D TSE.

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Assessment of intracranial atherosclerotic plaques using 3D non-contrast black blood MRI: comparison with DSA
Xia Tian1, Chengcheng Zhu2, Bing Tian1, Zhang Shi1, Luguang Chen1, Qi Liu1, and Jianping Lu1

1Radiology, Changhai hospital, Shanghai, China, 2Radiology and Biomedical imaging, University of California, San Francisco, CA, United States

Digital subtraction angiography (DSA) remains the gold standard for assessment of intracranial artery stenosis. However, it is invasive and may miss lesions without luminal stenosis due to vessel wall outward remodeling. We compared 3D black-blood MRI (SPACE) with DSA in 74 intracranial plaques, and found SPACE was in good agreement with DSA for stenosis quantification (ICC=0.82), but the plaque was longer in SPACE than DSA. Moreover, SPACE detected 28 more plaques than DSA, and 14 of 28 plaques showed enhancement. SPACE is promising for evaluating the severity of intracranial atherosclerosis and may improve patient management.

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Highly Accelerated Whole Brain Isotropic 0.5mm Intracranial Vessel Wall Imaging with Nonlocal Denoising and Super Resolution Enhancement
Zechen Zhou1, Baocheng Chu2, Jie Sun2, Niranjan Balu2, Mahmud Mossa-basha2, Thomas Hatsukami2,3, Peter Börnert4, and Chun Yuan2,5

1Philips Research North America, Cambridge, MA, United States, 2Department of Radiology, University of Washington, Seattle, WA, United States, 3Department of Surgery, Division of Vascular Surgery, University of Washington, Seattle, WA, United States, 4Philips Research Hamburg, Hamburg, Germany, 5Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China

The three-dimensional (3D) turbo spin echo (TSE) sequence with variable flip angle (VFA) has proven to be clinically useful for high resolution intracranial vessel wall imaging (VWI) at 3T. In this study, a T1 weighted 3D TSE sequence was optimized for whole brain isotropic 0.5mm intracranial VWI in 8mins28secs. The optimized VFA design improves the flow suppression in small vessels and the nonlocal denoising effectively reduces the noise amplification after super resolution enhancement while improving the vessel wall boundary definition. This combined imaging and post-processing technique provides a promising tool for intracranial atherosclerosis and stroke investigation.

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Intracranial Vessel Wall Imaging: Artifactual Effects of Localized Movement and In-line Mitigation with Self-gating
Zhehao Hu1,2, Fei Han3, Qi Yang1,4, Shlee Song5, Marcel Maya6, Anthony Christodoulou1,7, Xiaoming Bi3, Debiao Li1,2,8, and Zhaoyang Fan1,2,8

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, CA, United States, 3Siemens Healthcare, Los Angeles, CA, United States, 4Department of Radiology, Xuanwu Hospital, Beijing, China, 5Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 8Department of Medicine, University of California, Los Angeles, CA, United States

Intracranial vessel wall imaging can directly visualize the vessel wall and characterize wall pathologies, and has drawn great clinical interest. 3D variable-flip-angle turbo spin-echo is currently the method of choice for intracranial VWI. However, because of its 3D acquisition fashion, this method is inherently susceptible to motion as previously shown in extracranial VWI studies. For intracranial VWI, motion may also result from bulk or localized movement, although the former can be effectively reduced by using foam pads. Reducing motion degradation becomes more critical because of long scan time and demanding spatial resolution. This work aims to investigate the effect of localized movement on intracranial VWI quality and to present an in-line self-gating approach to mitigate quality deterioration.

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4D high-resolution Angiography maps combining time-of-flight angiography and ASL projection data
Thomas Lindner1, Olav Jansen1, and Michael Helle2

1Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany, 2Tomographic Imaging Department, Philips Research Laboratories, Hamburg, Germany

This study presents a novel method of combining Arterial Spin Labeling and TOF angiography based on image post-processing after radial projection image readout. Tehreby high-resolution time-resolved angiograms can be obtained.

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Diffusion Metrics of White Matter in Cerebral Small Vessel Disease: Unravelling the Variance in Microstructural Integrity
Elene Iordanishvili1, Ezequiel Farrher1, Melissa Schall1, Ana-Maria Oros-Peusquens1, Ketevan Kotetishvili2, Farida Grinberg1, and Jon Shah1,3,4

1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany, 2Georgian Technical University, Tbilisi, Georgia, 3Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany, 4JARA - BRAIN -Translational Medicine, Aachen, Germany. Department of Neurology, RWTH Aachen University, Aachen, Germany

Cerebral small vessel disease (SVD) has a long period of silent progression until it clinically manifests as a stroke or cognitive decline. Early detection of microstructural alterations in the white matter will help to develop targeted therapy and avoid clinical consequences. The need for advanced imaging to reflect the plethora of the changes is increasing. Here, we used the methods for the analysis of the diffusion MRI signal to investigate microstructural alterations in SVD. Our study identified the most frequently changed parameters and the affected regions. We also show increased changes in the diffusion MRI metrics, corresponding with disease severity.

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Hemodynamic impairments in asymptomatic unilateral carotid artery stenosis are increased within individual watershed areas
Stephan Kaczmarz1,2, Jens Goettler1,2,3, Jan Petr4, Mikkel Bo Hansen5, Jan Kufer1, Andreas Hock6, Christian Sorg1, Claus Zimmer1, Kim Mouridsen5, Fahmeed Hyder2, and Christine Preibisch1,7

1Department of Neuroradiology, Technical University of Munich, Munich, Germany, 2MRRC, Yale University, New Haven, CT, United States, 3Clinic for Radiology, Technical University of Munich, Munich, Germany, 4PET center, Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 5Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark, 6Philips Healthcare, Hamburg, Germany, 7Clinic for Neurology, Technical University of Munich, Munich, Germany

Internal carotid-artery stenosis (ICAS) causes complex and not yet well understood physiological impairments, which currently limits treatment decisions. We present multimodal perfusion and oxygenation-related MRI-data from unilateral asymptomatic ICAS-patients and age-matched healthy controls. The major aim was to investigate hemodynamic impairments in ICAS within individually defined watershed areas (iWSA’s) to account for individual vascular configurations. We found statistically significant lateralization of hemodynamic parameters within iWSA’s - strongest in WM of iWSA’s. Therefore, our iWSA-based approach facilitates detection of even subtle hemodynamic changes in ICAS. Furthermore, we detected spatially widespread capillary flow heterogeneity increases which are promising future treatment indicators.

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MRI pulse wave profiles of cerebral arteries
Henning U. Voss1, Jonathan P. Dyke1, Douglas J. Ballon1, and Ajay Gupta1

1Radiology, Weill Cornell Medical College, New York, NY, United States

The pulse pressure wave is an indicator for vascular health. Given the importance of vascular health to the central nervous system, we developed a method to extract intracranial pulse waveforms along the main cerebral arteries from dynamic MRI data. The resulting “pulse wave profiles” track the pulse shape along the main arteries of the brain. The simultaneous acquisition of pulse waveforms within the whole brain at once allows for a system analysis of the vasculature. A Matlab toolbox to compute pulse wave profiles is provided.


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Non-contrast 3D Black Blood MRI for Intracranial Aneurysm Surveillance: A Quantitative Study
Yan Wang1, Jing Liu1, and David Saloner1

1University of California San Francisco, San Francisco, CA, United States

Patients with unruptured intracranial aneurysms routinely undergo surveillance imaging to monitor their growth. Contrast enhanced magnetic resonance angiography (CE-MRA) provides good accuracy in measuring size, but requires the use of contrast agents, which is undesirable for repeated imaging. In this study, we propose a semi-automatic method to compare the volumetric difference between 3D non-contrast black blood MRI and CE-MRA on 17 aneurysms. Our results support the use of non-contrast black blood MRI for surveillance of intracranial aneurysm in the clinical setting.

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Robust MRI assessment of cerebral microvasculature using stimulated-echo diffusion-imaging method
DongKyu Lee1 and HyungJoon Cho1

1Bio-medical engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of

Stimulated-echo diffusion-imaging method was employed to reduce the effect of macroscopic field inhomogeneity and large vessel overestimation on the quantification of blood volume fraction and mean vessel radius. Stimulated-echo diffusion-imaging method were compared with conventional spin-echo and gradient-echo methods by Monte Carlo (MC) proton diffusion simulations and in vivo rat experiments on a 7 T system. The results of this study showed that stimulated-echo based MR relaxation-rates, ∆RSTE,long TD (ΔR2* like) and ∆RSTE,short TD (ΔR2 like), provide the robust means of assessing cerebral microvasculature where the macroscopic field inhomogeneity is severe and signal contamination from adjacent large vessel is significant without necessity of co-registering gradient- and spin-echo images.

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Pulsed ASL prepared 4-Dimensional Dynamic Intracranial MR Angiography at 7T with Improved B1 and B0 robustness
Jin Jin1, Kai Wang2, Xiaoming Bi1, Danny JJ Wang2, and Lirong Yan2

1Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 2Keck school of medicine, University of Southern California, Los Angeles, CA, United States

This work enhances the quality of non-contrast enhanced time-resolved 4-dimensional MR angiography (4D-MRA) at 7T, by combining segmented multi-phase acquisition of the FAIR scheme with labeling pulses of improved robustness to B1/B0 inhomogeneity and chemical shift. The gradient-modulated offset independent inversion pulses were optimized for 7T application maximizing MR system performance, while providing uniform inversion, sharp transition and tolerance to chemical shift. 4D-MRA images with higher spatial-temporal resolution were reliably acquired within SAR limit of normal operation mode within 5 minutes, presenting a valuable tool for assessing intracranial vasculature and hemodynamics.

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Comparison of cerebrovascular reactivity among patients with sporadic cerebral small vessel disease
Ming-Kang Li1, Ting-Yu Chang2, Kuo-Lun Huang2, Mei-Yu Yeh1, Tsong-Hai Lee2, and Changwei W. Wu1

1Graduate Institute of Mind, Brain and Consciousness, Taipei, Taiwan, 2Department of Neurology, Stroke Center, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan

Sporadic cerebral small vessel disease (SVD) affects small vessels in the brain and causes cerebrovascular-event-related disability. We separated patients into two groups (acute ischemic stroke and spontaneous intracranial hemorrhage) and then compared their cerebrovascular reactivity (CVR) with normal control. We found there was significant BOLD amplitude decline between normal and ischemic group, but no difference in the temporal estimates between groups.

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Interactive Correlation between Iron Deposition and Cerebral Blood Flow in the Deep Cerebral Gray Matter Structures of Hemodialysis Patients
Chao Chai1, Huiying Wang1, Jinping Li2, Jinxia Zhu3, Xianchang Zhang3, E. Mark Haacke4, Shuang Xia1, and Wen Shen1

1Department of Radiology, Tianjin First Central Hospital, Tianjin, China, 2Deparment of Hemodialysis, Tianjin First Central Hospital, Tianjin, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Department of Radiology, Wayne State University, Detroit, MI, United States

The aim of this study was to explore the correlation between iron deposition (ID) and cerebral blood flow (CBF) in the deep gray matter structures of hemodialysis patients using susceptibility-weighted image mapping and arterial spin labeling. Both ID and CBF of the patients were increased compared with the healthy controls. ID in patients was positively correlated with CBF in the right putamen, while negatively correlated with CBF in the right thalamus. Abnormal calcium-phosphorus metabolism and triglyceride were shared independent factors for increased ID and CBF. Increased ID, rather than CBF, was a risk factor for neurocognitive impairment.

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Accurate staging of Cerebral Venous Sinus Thrombosis using T1 SPACE:clinical experience
Yanan Ren1, Ying Wei1, Yanan Lin1, Guoxi Xie2, and Jingliang Cheng1

1Department of Magnetic Resonance Imaging, the First Affiliate Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Biomedical Engineering, School of Basic Sciences, the Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

This study aims to explore magnetic resonance High-resolution Variable Flip Angle Turbo-Spin-Echo(T1 SPACE) technique for accurate staging of Cerebral Venous Sinus Thrombus(CVT). CVT patients confirmed by Computed Tomographic (CT) were randomly divided into three groups according to the time from the onset of symptoms to T1 SPACE. Signal to Noise Ratio(SNR) and Contrast to Noise Ratio(CNR) between thrombus and gray tissues/white tissues were calculated on every thrombus segments and difference between different groups were analyzed. Results indicate that T1 SPACE has the potential to be a promising tool for accurate diagnosis and staging of CVT.

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Inner volume 3D TSE for isotropic 0.30 mm black-blood images of intracranial perforating arteries at 7T
Qingle Kong1,2, Dehe Weng3, Jing An3, Yan Zhuo1,2, and Zihao Zhang1,4

1State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 4The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China

The impairment of microvessels can lead to neurologic diseases such as stroke and vascular dementia. The imaging of lumen and vessel wall of perforating arteries requires an extremely high resolution due to their small caliber size (50 – 400 um). In this study, we developed a 3D inner-volume (IV) TSE (SPACE) sequence with 2D spatially selective excitation (SSE) RF pulses. High resolution of isotropic 0.30mm was achieved for the black-blood images of lenticulostriate artery (LSA) within 10 minutes. The IV-SPACE images showed clearer delineation of vessel wall and lumen of LSA than conventional SPACE images. IV-SPACE might be a promising method for detecting microvasculopathies of cerebral vascular diseases.

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Consistency of FLAIR vascular hyperintensity (FVH) and arterial transit artifact (ATA) in 3D ASL imaging in patients with unilateral MCA stenosis
Peipei Chang1, Yanwei Miao1, Yiwei Che1, Yuhan Jiang1, Li Yang1, Lizhi Xie2, and Kaiyu Wang2

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare China, Beijing, China

Arterial spin labeling (ASL), a noncontrast method of measuring CBF has become feasible in the clinical setting. Serpiginous high intensity structures (ASL) are seen in the ischemic tissue on ASL, prior studies suggested that ATA may represent collateral flow. On the other hand, FVHs are related to hemodynamic impairment and represent slow retrograde flow in leptomeningeal collaterals. Our aim was to compare the consistency of the occurrence of ATA relative to that of FVH in patients with proximal MCA occlusion.

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A Single Reference Variable Flip Angle(SR-VFL) Method using a 3D Pseudo Golden Angle Stack of Stars(PGA- SOS) Sequence for Accurate Dynamic T1 Quantification of Contrast Uptake within Vulnerable Plaque
Seong-Eun Kim1, Bryant Svedin1, Adam de Havenon2, Matthew Alexander1, Dennis L Parker1, Gerald S Treiman3,4, and J Scott McNally1

1UCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Department of Neurology, University of Utah, Salt Lake City, UT, United States, 3Department of Surgery, University of Utah, Salt Lake City, UT, United States, 4Department of Veterans Affairs, VASLCHCS, Salt Lake City, UT, United States

The carotid artery atherosclerotic disease is one of the most common causes of ischemic stroke. Post-contrast plaque enhancement (PPE), which may result from endothelial dysfunction or be secondary to intraplaque inflammation, is a vulnerable plaque feature that correlates with increased stroke risk independent of stenosis. Although PPE can be detected with vessel wall MRI, better quantitative methods to measure PPE are needed. This work presents a new 3D high resolution dynamic T1 mapping technique for accurate T1 quantification of contrast uptake within vulnerable carotid atherosclerotic plaque. The proposed method may provide important mechanistic implications for the pathophysiology of PPE.

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in vivo quantitative assessment of the meningeal lymphatics using 3D black blood T1 imaging: a preliminary study
Mina Park1, Sung Jun Ahn1, and Sang Hyun Suh1

1Gangnam Severance Hospital, Seoul, Korea, Republic of

We evaluated the meningeal lymphatics using 3D black blood T1 imaging and its association with clinical parameters as well as enlarged perivascular spaces. This retrospective study included 24 patients who underwent contrast-enhanced 3D black blood T1 imaging on 3T brain MRI and assessed their meningeal lymphatics located parallel to the superior sagittal sinuses. The group with higher meningeal lymphatics volume more frequently have diabetes than the lower group, which is one of the major vascular as well as cognitive risk factors. Furthermore, the higher group had a significantly higher score of enlarged perivascular space in centrum semovale, which is not surprising when considering its close anatomical and functional relationships within the glymphatic system. Therefore, we suggest that the expanded meningeal lymphatics may be an imaging marker of poor function of glymphatics but further studies with disease conditions such as Alzheimer’s disease should be followed to clarify the exact meaning of the volume of the meningeal lymphatics.

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Reducing scan time of selective 3D TOF using the dedicated algorithm based on compressed sensing
Kosuke Ito1 and Masahiro Takizawa1

1Hitachi, Ltd., Tokyo, Japan

Non-contrast enhanced ICA selective 3D TOF using cylinder excitation pre-sat pulse has a possibility which visualizes blood flow from left or right ICA like DSA. It requires one set of 3D TOF scan; non-labeled 3D TOF and ICA labeled 3D TOF, then scan time becomes two times longer than conventional 3D TOF scan. In this study, compressed sensing scheme was applied to reducing the scan time of selective 3D TOF. Proposed method uses similarity between 3D TOF images with and without pre-sat pulse. This realizes only 1 minutes’ additional ICA selective 3D TOF scan to conventional 3D TOF scan.

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Is It Necessary for Patients with Internal Carotid Artery Occlusion to Undergo 3D Head-neck Combined Vessel Wall Cardiovascular Magnetic Resonance Imaging?
Jin Zhang1, Huilin Zhao1, Beibei Sun1, Xiaosheng Liu1, Xiaoyue Zhou2, Xihai Zhao3, Chun Yuan4, and Jianrong Xu1

1Renji Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China, 2MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 3Biomedical Engineering & Center for Biomedical Imaging Research, Tsinghua University, Beijing, China, 4Radiology, University of Washington, Seattle, WA, United States

Definite diagnosis of internal carotid artery occlusion no longer satisfies neurosurgeons’ treatment needs for vascular recanalization. This study sought to investigate what information provided by 3D head-neck combined vessel wall cardiovascular magnetic resonance imaging could be useful for neurosurgeon to make the therapy plan. Our study turned out that 3D MR vessel wall imaging is capable of diagnosing internal carotid artery occlusion, and patients with short extent of occlusion are benefit from the vascular recanalization therapy. Our results suggest it is useful for those patients to undergo 3D MR vessel wall imaging for making their therapy plan.

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Vessel-specific Quantification of Neonatal Cerebral Venous Oxygenation
Dengrong Jiang1, Hanzhang Lu2, Charlamaine Parkinson3, Pan Su2, Zhiliang Wei2, Li Pan4, Aylin Tekes2, Thierry A.G.M. Huisman2, W. Christopher Golden3, and Peiying Liu2

1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Siemens Healthineers, Baltimore, MD, United States

Cerebral metabolic rate of oxygen (CMRO2) is an important biomarker for normal and pathological neonatal brain development. However, regional measurement of neonatal CMRO2 has been limited due to an inability to evaluate regional venous blood oxygenation (Yv). This study presented a rapid MRI technique, accelerated T2-relaxation-under-phase-contrast (aTRUPC), to measure vessel-specific Yv in neonates. We have improved the reliability and accuracy of aTRUPC by optimizing imaging parameters and calibrating T2-bias. A pilot study on healthy, non-sedated neonates demonstrated the feasibility of aTRUPC to measure vessel-specific Yv. Accuracy of aTRUPC-based Yv measurements was further validated with established whole-brain Yv measurement using T2-relaxation-under-spin-tagging.

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Evaluation of collateral circulation in intracranial atherosclerosis using random vessel-encoded arterial spin labeling
Lirong Yan1, Xiaoyue Ma2,3, Hong Zheng1, Yan Wang2,3, and Meiyun Wang2,3

1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Henan Key Laboratory for Medical Imaging of Neurological Diseases, Zhengzhou, China

Collateral circulation plays an important role in predicting the clinical outcomes and risk of recurrent stroke in patients with stroke and transient ischemic attack (TIA). In this study, we evaluated the clinical utility of random vessel-encoded ASL (rVE-ASL) technique for the characterization of vascular territory and collateral circulation in a cohort of patients with stroke or TIA.  The assessment of collaterals using rVE-ASL matched well with that of digital subtraction angiography (DSA).

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Evaluate the Characteristics of Spontaneous Intracranial Artery Dissection using High Resolution MRI Vessel Wall Imaging
Bing Tian1, Xia Tian2, Zhang Shi2, Qi Liu2, and Jianping Lu2

1Department of Radiology, Changhai hospital of Shanghai, Shanghai, China, 2Changhai hospital of Shanghai, Shanghai, China

Compared to luminal angiographic techniques, high resolution magnetic resonance imaging is more helpful to the diagnosis and differential diagnosis the dissection from other vascular pathologies such as atherosclerosis or aneurysm. In this study, we present results obtained with vessel wall imaging to evaluate the characteristics of spontaneous intracranial artery dissection. We divided patients into two groups according to CE-MRA, and compared the characteristics of high resolution magnetic resonance imaging between two groups. The results of our study may be helpful to understand the lumen and wall change of different type of spontaneous intracranial artery dissection shown on luminal angiographic techniques.

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To investigate blood flow in head and neck arteries by phase contrast MRI
Agnès Paasche1, Jérémie Bettoni1, Stéphanie Dakpé1, Bernard Devauchelle2, Sylvie Testelin2, and Olivier Balédent3

1MAXILLOFACIAL SURGERY, EA Chimere 7516, AMIENS, France, 2MAXILLOFACIAL SURGERY, FACING FACES INSTITUTE, AMIENS, France, 3BIO FLOW IMAGE, EA Chimere 7516, AMIENS, France

The 2D-cine PC MRI allows to know precisely the arterial flow in small vessels but it is unsuited for clinical use. The principal aim of this study was to determine the precision loss when rapid monophasic PC sequences (whiches are not synchronised with cardiac cycle) are used compared to the traditional 2D-cine sequences in ten healthy volunteers. Pearson’s coefficient between the two technics was determined and Bland Altman tests were used. The precision loss was between 0,55 % et 27 %, depending on the studied vessel, so the monophasic PC sequences can be used for clinical vascular evaluation in pretherapeutic conditions.

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Method for vessel selection effects the outcome and reproducibility of velocity and pulsatility measures in cerebral penetrating arteries
Tine Arts1, Jeroen Siero1,2, Geert Jan Biessels3, and Jaco Zwanenburg1

1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 3Neurology, UMC Utrecht, Utrecht, Netherlands

Measuring the function of the cerebral small vessels can greatly benefit our understanding of cerebral small vessel disease. Recent research enabled the assessment of blood flow velocity and pulsatility in the perforating arteries of the cerebral white matter in healthy subjects. However, in patients this method requires manual elimination of artifacts. This paper explores various methods for excluding false positives. The reproducibility of the velocity, pulsatility and number of selected vessels was investigated in a test-retest study. Results show that the reproducibility of these outcome measures highly depends on the chosen method for vessel selection.


Brains: Functional & Dysfunctional

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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White matter MS lesions effect on resting state fMRI analysis: should we lesion fill functional data?
Gloria Castellazzi1,2, Anisha Doshi1, Adnan Alahmadi3,4, Floriana De Angelis1, Jeremy Chataway1, Ferran Prados1,5,6, and Claudia AM Gandini Wheeler-Kingshott1,7,8

1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, 2Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 3Diagnostic Radiography Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University (KAU), Jeddah, Saudi Arabia, 4MRI Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, 5Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, UCL, London, United Kingdom, 6Universitat Oberta de Catalunya, Barcelona, Spain, 7Department of Brain and behavioral sciences, University of Pavia, Pavia, Italy, 8Brain 3T MRI Centre, Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy

Multiple sclerosis (MS) lesions are well known to alter tissue segmentation, shifting tissue boundaries between grey and white matter regions (GM and WM). Despite evidence of these errors occurring when working with anatomical images, little is known about the possible effects of MS lesions on the functional MRI results. Here, we addressed this question by simulating the presence of MS lesions on resting state functional MRI data from healthy controls. Subsequently, we tested whether lesion filling functional MRI data is useful to prevent artefactual results of functional connectivity alterations that are actually due to MS lesions. 

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Frequency specific functional connectivity density in Parkinson’s disease: A resting-state fMRI study
Xue-hua Peng1, Jian-bo Shao1, Hui-jing Ma1, Zhiyao Tian1, Long Qian2, and Bai-qi Zhu1

1Department of Radiology, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, wuhan, China, 2GE Healthcare, MR Research China, Beijing, China

The functional connectivity of the brain in Parkinson’s disease (PD) has been largely investigated focusing on a low frequency oscillation from 0.01 to 0.1 Hz. Nevertheless, the frequency specificities relating to the functional connectivity have not yet been fully understood. In this study, we utilized analysis of the functional connectivity density (FCD) to determine changes in patients with PD and in healthy controls in wo different frequency bands were analyzed. Our results demonstrated differential FCD maps from both spatial and frequency domain, thus providing a novel insight for investigation of the neuroimaging biomarkers in PD.

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The Cerebral Blood Flow Changes of Executive Dysfunction in Parkinson’s Disease Measured by Arterial Spin Labeling MRI at Cerebral Cortex Parcellations Obtained from Resting State fMRI
Dilek Betul Arslan1, Sevim Cengiz1, Ani Kicik2, Emel Erdogdu2,3, Zerrin Yildirim4, Zeynep Tufekcioglu4, Basar Bilgic4, Hasmet Hanagasi4, Aziz Mufit Ulug1, Tamer Demiralp2,5, Ibrahim Hakan Gurvit4, and Esin Ozturk-Isik1

1Biomedical Engineering Institute, Bogazici University, Istanbul, Turkey, 2Hulusi Behcet Life Sciences Research Center, Istanbul University, Istanbul, Turkey, 3Institute of Psychology and Cognition Research, University of Bremen, Bremen, Germany, 4Department of Neurology, Istanbul University, Istanbul, Turkey, 5Department of Physiology, Istanbul University, Istanbul, Turkey

The aim of this study is to find cerebral blood flow (CBF)  based biomarkers of executive dysfunction in Parkinson’s disease (PD) at cerebral cortex parcellations obtained from resting state fMRI. CBF maps of PD with mild cognitive impairment, cognitively normal PD and healthy controls were compared at brain regions based on parcellations obtained from resting state fMRI. Additionally, CBF values of the PD subjects were classified according to Stroop scores and COMT genotype. Hypoperfusion in several brain networks related with executive functioning was observed in PD patients with executive dysfunction, and also in patients with COMT Met/Met genotype.

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Evaluation of brain functional connectome in tuberous sclerosis complex with neuropsychological disorders using resting-state fMRI
Jun-Cheng Weng1,2, Tzu-Yi Chuang3, Chao-Yu Shen3,4, and Jeng-Dau Tasi5

1Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, 2Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 3Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 4Institute of Medicine and Department of Medical Imaging, Chung Shan Medical University and Hospital, Taichung, Taiwan, 5School of Medicine and Department of Pediatrics, Chung Shan Medical University and Hospital, Taichung, Taiwan

We aimed to use resting-state fMRI to provide the first findings on disrupted functional brain networks in tuberous sclerosis complex (TSC) patients with graph theoretical analysis (GTA) and network-based statistic (NBS) analysis. We found several topological parameters including clustering coefficient, local efficiency, transitivity, and modularity in the healthy control were better than those in the TSC patients. One subnetwork showed more edges in the healthy control compared with the TSC, including the connections from the frontal lobe to the parietal lobe. Our findings may help better understand the variable clinical phenotypes of TSC and the underlying physiological mechanisms.

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A Framework for Integrating Diffusion and rs-fMRI with Measurements of Cognitive Function in the Rhesus Macaque Frontal Lobe and Striatum
Zheng Liu1,2, Alison R. Weiss1, Xiaojie Wang1,2, Jackie Domire1, William Liguore1, Christopher Kroenke1,2,3, and Jodi L. McBride1,3

1Neuroscience, Oregon National Primate Research Center, Beaverton, OR, United States, 2Advanced Image Research Center, Oregon Health and Science University, Portland, OR, United States, 3Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, United States

Brain atlases commonly used for characterizing neurodegenerative processes are frequently referenced to a specific imaging modality. Here we describe a combined gray matter and white matter atlas to be used in the study of a rhesus macaque model of Huntington’s disease. We illustrate how this atlas will be used to integrate diffusion tensor imaging and resting-state functional MRI connectivity with measures of cognitive behavior. Prefrontal WM tracts, cortical and basal ganglia regions are labeled in the same space for characterization of WM microstructure changes and cognitive and motor loop connectivity. The results of preliminary study show that these MRI measurements can identify correlations with cognitive behavior measurements.

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Change in fMRI activation between deep brain stimulation on and off states in patients with Parkinson’s disease during a stop-signal task
Pallab K Bhattacharyya1,2, Adam Aron3, Jian Lin1, Mark J Lowe1, Anna Crawford1, Andre Machado4, Mahsa Malekmohammadi5, Nader Pouratian5, and Stephen E Jones1

1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Radiology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, United States, 3Psychology, University of San Diego, San Diego, CA, United States, 4Neurological Institute, Cleveland Clinic, Cleveland, OH, United States, 5Neurosurgery, University of California Los Angeles, Los Angeles, CA, United States

Motor regulation pertaining to stopping when necessary is impaired in Parkinson disease (PD) and is modulated by deep brain stimulation (DBS) therapy. We performed fMRI study at 3T using a stop-signal task with PD patients having implanted DBS, and investigated differences in activation in networks responsible for stopping between on and off states of DBS. Overall, larger and stronger activation was observed in this preliminary study when the DBS was turned on for go (when the subject is supposed to press button) minus baseline and successful stop (when the subject successfully stopped) minus go contrasts.

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Neuroplasticity in patients with post surgical olfactory dysfunction  after olfactory training, assessed with fMRI.
Francisco García-Huidobro1, Cristian Montalba2,3,4, Andrés Rosesbaum1, Mariana Zurita5, David Jofré1, Sergio Uribe2,3,4, Marcelo Andia2,3,4, Pablo Villanueva6, Claudio Callejas1, Claudia González1, and Cristian Montalba2

1Otorhinolaryngology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 5Institute of Cognitive Neuroscience., University College London, London, UK., London, United Kingdom, 6Neurosurgery Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile

We evaluated the effect of olfactory training in olfactory pathway brain areas in subjects with olfactory dysfunction after transsphenoidal surgery for pituitary tumors. For this purpose, we compare 2 groups of subjects, one with olfactory training, and a second without training. All of them underwent with an fMRI block designed with eucalyptus odor. An olfactory test were measured in all subjects. The subjects with olfactory training showed a clinical improvement and more activations of compensatory olfactory central brain areas, in comparison with subjects without olfactory training, that they did not show a clinical improvement and activated less compensatory olfactory areas.

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Regularization Small-Worldization in Amyotrophic lateral sclerosis: A Resting-State fMRI Study
Yuan Ai1, Du Lei1, and Qiyong Gong1

1Department of radiology, West China Hospital of Sichuan University, Huaxi Magnetic Resonance Research Center(HMRRC), Chengdu, China

This study aims to use the graph-based theoretical analysis to investigate the topological properties of the functional brain connectome in amyotrophic lateral sclerosis(ALS).151 healthy controls and 101 patients underwent a rs-fMRI scan. Compared with controls, brain networks of ALS patients were characterized by decreased global efficiency and the characteristic path length increased. Based on these perspectives, the ALS group exhibited “regularization small-worldization”. A network with 10 nodes and 16 edges was identified that was significantly altered in default mode network (DMN) regions. This study may provide novel insights into the pathophysiological mechanisms underlying psychiatric disorders from a connectomic perspective.  

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Altered Connectivity Using Resting State fMRI in SCA1 and SCA2 Patients
Dibashree Tamuli1, Shefali Chaudhary2, S. Senthil Kumaran2, Ashok Kumar Jaryal1, Achal Kumar Srivastava3, and Kishore Kumar Deepak1

1Physiology, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 2NMR, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 3Neurology, All India Institute of Medical Sciences, New Delhi, New Delhi, India

Neurodegeneration in cortical and subcortical brain areas are found in SCA type 1 and 2 patients. The structural brain volumetric analysis has been done to know the differential loss of volume of brain areas in SCA type 1 and 2. Especially, to find the functional connectivity of the whole brain in the same SCA patients, we have assessed default mode network using resting state fMRI.

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Altered resting-state functional connectivity of primary visual cortex in young patients with comitant exotropia
Zhi Wen1, Xuefang Lu1, Xin Huang2, Yang Fan3, Yunfei Zha4, and Baojun Xie4

1Radiology, Renmin Hospital of Wuhan University, Wuhan, China, 2Ophthalmology, Renmin Hospital of Wuhan Uiversity, Wuhan, China, 3GE Healthcare, Beijing, China, 4Radiology, Renmin Hospital of Wuhan Uiversity, Wuhan, China

The comitant exotropia (CE) is a common eye disease characterized by outward deviation of the eyes and impairment of stereovision. In this study, we aim to investigate the altered functional connectivity (FC) in patients with CE using resting-state fMRI. The CE patients showed significantly less FC between the left V1 and left lingual gyrus/cerebellum posterior lobe, right MOG, left precentral gyrus/postcentral gyrus and right IPL/postcentral gyrus; as well as less FC between right V1 and right MOG (BA19, 37). Our findings show that CE involves defects in the possessing of stereovision, such as fusion, spatial processing, visual recognition, and oculormotor.

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Longitudinal functional MRI mapping changes in neurovascular responses following middle cerebral artery occlusion
Andrew Crofts1, Melissa Trotman-Lucas2, Justyna Janus3, Claire Gibson2, and Michael Kelly3

1Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, United Kingdom, 2School of Psychology, University of Nottingham, Nottingham, United Kingdom, 3Core Biotechnology Services, University of Leicester, Leicester, United Kingdom

Due to limitations in anaesthetic protocol, fMRI studies of recovery following ischaemic stroke in rodents show high variability and must use large numbers of animals. This study uses a novel anaesthetic protocol which gives a highly reproducible BOLD signal in healthy animals to study changes in response to forepaw stimulation in 10 rats following middle cerebral artery occlusion. Even with the improved protocol, high variability between animals following MCAO is a confounding factor, and while a trend towards hyperactivation followed by return to baseline is seen, a larger number of animals is still required for longitudinal studies.

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Longitudinal functional MRI for animal studies of neurovascular coupling in healthy ageing
Andrew Crofts1, Melissa Trotman-Lucas2, Justyna Janus3, Claire Gibson2, and Michael Kelly3

1Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, United Kingdom, 2School of Psychology, University of Nottingham, Nottingham, United Kingdom, 3Core Biotechnology Services, University of Leicester, Leicester, United Kingdom

Due to effects of anaesthetic on the BOLD signal, or use of toxic anaesthetics, longitudinal preclinical fMRI studies are uncommon, and studies of age-related disease progression show high variability and use large numbers of animals. This study uses a novel anaesthetic protocol in 11 rats to study changes in the BOLD signal with age. A strong, reproducible BOLD response to forepaw stimulation is found between 7 and 12 months old, and at 15 months old the number of active voxels is reduced by half. This shows that the protocol is suitable for longitudinal studies of ageing.

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Resting State Olfactory Network Functional Connectivity in Tremor- and Rigidity-predominant Patients with Parkinson’s disease
Lu Jiaming1, Rachel Stanford1, Prasanna Karunanayaka1, Qing Yang1, Paul Eslinger2, and Xuemei Huang2

1Radiology, Penn State University, Hershey, PA, United States, 2Neurology, Penn State University, Hershey, PA, United States

Parkinson's disease (PD) is a neurodegenerative disease, consisting of a broad spectrum of motor and non-motor symptoms. We used resting-state fMRI to investigate differences in functional connectivity (FC) of the olfactory network (ON) in two major PD subtypes: akinetic-rigid (PDAR) and tremor predominant (PDT). Significant differences in ON FC were found between normal controls, PDAR, and PDT groups in six brain regions. Lower FC was observed in the orbitofrontal cortex, insula, and posterior cingulate cortex in the PDAR group compared to the PDT group. Our findings suggest that the ON FC is deferentially affected in the two PD subtypes.

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Altered topological organization of whole-brain functional network in patients with postherpetic neuralgia after repetitive transcranial magnetic stimulation treatment
Zhizheng Zhuo1, Qian Pei2, and Haiyun Li3

1Clinical Science, Philips Healthcare, Beijing, China, 2Xuanwu Hospital Affiliated to Capital Medical University, Beijing, China, 3Capital Medical University, Beijing, China

This work is to investigate the topological organization alteration of whole-brain functional network in patients with postherpetic neuralgia (PHN) after repetitive transcranial magnetic stimulation (rTMS) treatment and assess whether the functional alteration could be used as a neural biomarker for the post-treatment evaluation.

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The information flow pattern of the human brain based on high temporal resolution functional MRI
Zhizheng Zhuo1, Xiangyu Ma2, Zhe Ma2, Lijiang Wei2, and Haiyun Li2

1Clinical Science, Philips Healthcare, Beijing, China, 2Capital Medical University, Beijing, China

To investigate the information flow pattern of human brain by using high temporal resolution functional MRI based on linear, non-linear Granger causality analysis and transfer entropy

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Alterations of the brain microstructure and corresponding functional connectivity in early blind adolescents with and without residual light perception
Zhifeng Zhou1, Jinping Xu2, Leilei Shi3, Xia Liu4, and Hengguo Li5

1Department of Radiology, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China, 2Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 3Department of Mechanical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 4Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China, 5Medical Imaging Center, the First Affiliated Hospital of Jinan University, Guangzhou, China

Previous neuroimaging studies of adult blind have revealed structural and functional neuroplasticity. It is still unclear if the brains of young blind will have the same alterations, and the effects of residual light perception (RLP) on the structure and function of the blind brain cannot be ignored. This study explored the structural and functional brain changes in early blind adolescents (EBAs) with and without RLP using voxel-based analysis method of diffusion tensor imaging data and resting-state functional connectivity analysis. The results provide new insights into the mechanisms underlying the reorganization of brain in EBAs with or without RLP.

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Functional network-based statistics reveal abnormal resting-state functional connectivity in minimal hepatic encephalopathy
Tian-Xiu Zou1, Hua-Jun Chen1, and Zhongshuai Zhang2

1Fujian Medical University Union Hospital, Fuzhou, China, 2Siemens Healthcare, Fuzhou, China

Whole-brain functional network analysis is an emerging methodology for the investigation of the pathophysiology of MHE. A nonparametric statistical approach, called “network-based statistics” (NBS), has also been used in the field of connectome analysis. However, few whole-brain NBS studies have been conducted on MHE patients, which limits the further clarification of the network pathophysiology of MHE. We performed NBS analysis to identify FC changes related to MHE at the whole-brain functional connectome level and indentified two subnetworks with significant differences in FC matrices between patients and controls. Correlation analyses revealed that the PHES score was significantly positively correlated with the strength of two FCs within the first subnetwork. In summary, our findings indicate that DMN dysfunction may be one of the core issues in the pathophysiology of MHE.

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Connectome predictive modeling in subjects with mild cognitive impairment:  Resting-state and object location task results
Scott Peltier1, Sean Ma2, Allison Moll2, Julia Laing2, and Benjamin Hampstead2,3

1Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2Psychiatry, University of Michigan, Ann Arbor, MI, United States, 3Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States

Connectome predictive analysis was applied to MCI subjects using both resting-state and task data.  While a measure of free recall was predicted equally well in rest or task, a measure of total cognition was only predicted succesfully using the task data.  This argues for the utility of cognitive "stress tests" to better capture relevant brain biomarkers.

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Neural mechanism of processing speed decline induced by anatomically connected white matter tract damage and cortical function abnormality
Shuyue Wang1, Jiaerken Yeerfan1, Peiyu Huang1, Xinfeng Yu1, Yong Zhang2, and Minming Zhang1

1Department of radiology, 2nd affiliated hospital of Zhejiang university school of medicine, Hangzhou, China, 2GE Healthcare, Shanghai, China

White matter hyper-intensities (WMH) is considered as an important source of morbidity associated with dementia, stroke and increased mortality risk. Previous studies have suggested that WMH always leads to the decline of information processing speed, which have an impact on activities of daily living. Current hypothesis is that the dysfunctions caused by WMH is the result of “disconnection”, while the connection between the structural and functional alteration has not been fully investigated. We aimed to explore the underlying pathway of information processing speed decline via combining the spatial distribution of WMH, microstructural changes based tractography and cortical activity alterations. The results from different modalities converged in the occipital lobe with precise spatial overlappings. Results show regional WMH may indicate disrupted tract integrity and cause altered brain activities, leading to impaired function. This WMH-tract-function-behavior link is critical for WMH induced dysfunctions and treatment strategies.

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Widespread Structural and Functional Brain Connectivity Changes and Behavioral Relevance in Glaucoma
Vivek Trivedi1, Ji Won Bang1, Carlos Parra1, Max K. Colbert1, Caitlin O'Connell2,3, Muneeb A. Faiq1, Ian P. Conner3,4, Mark S. Redfern3, Gadi Wollstein1, Joel S. Schuman1, Rakie Cham3,4, and Kevin C. Chan1,5

1Department of Ophthalmology, New York University School of Medicine, New York, NY, United States, 2Department of Kinesiology, East Carolina University, Greenville, NC, United States, 3Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 4Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States, 5Department of Radiology, New York University School of Medicine, New York, NY, United States

Glaucoma is the second leading cause of blindness worldwide, yet its effects on the brain structure and function and the related behavioral relevance remain unclear. This study shows that glaucoma patients present reduced structural integrity in white matter around the supramarginal gyrus, as well as reduced functional connectivity between supramarginal gyrus and visual occipital and superior sensorimotor areas when compared to healthy controls. Furthermore, decreased functional connectivity between supramarginal gyrus and visual network was associated with changes in postural control. Taken together, our results suggest an involvement of altered brain coordination in the increased risk of falls in glaucoma patients.

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The temporo-insular projection system: a multisubject fiber tractography study using connectome diffusion data
Ahmed Radwan1, Pieter Nachtergaele2, Stijn Swinnen2, Thomas Decramer2, Mats Uytterhoeven2, Johannes Van Loon2, Tom Theys2, and Stefan Sunaert1

1Department of Imaging and pathology, Translational MRI, KU Leuven, Leuven, Belgium, 2Department of Neurosciences, Research group experimental neurosurgery and neuroanatomy, KU Leuven, Leuven, Belgium

The precise structural connections between the amygdala, anterior temporal pole and insula remain poorly understood. These connections have been described with ex-vivo dissection, however the diffusion-based counterparts to these bundles haven’t been described in detail. In a recent study (currently under review) we investigated these connections with ex-vivo dissection on 11 brain specimens. We also explored the possibility of reconstructing the bundles found on dissection with Diffusion MRI. Here we demonstrate the results obtained for reconstructing these white matter connections using 20 randomly selected healthy participants of the HCP young adults data release.

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Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity
Emily Dennis1, Ananya Singh2, Conor Corbin2, Neda Jahanshad2, Tiffany Ho3, Lucy King3, Lauren Borchers3, Kathryn Humpreys4, Paul Thompson2, and Iang Gotlib3

1Brigham and Women's Hospital/Harvard Medical School, Mountain View, CA, United States, 2Imaging Genetics Center, Marina del Rey, CA, United States, 3Stanford Neurodevelopment, Affect, and Psychopathology Laboratory, Stanford, CA, United States, 4Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, United States

Maternal depression is a well-documented risk factor for psychopathology in children; the origins of this association, however, are not well understood. We present preliminary analyses of 24 infants using a multi-shell diffusion MRI sequence optimized for imaging infant white matter, along with a novel tract clustering and identification workflow, TractStat. We examine the association between maternal depressive symptoms and infant white matter organization in the uncinate fasciculus (UF). Infants whose mothers report experiencing more severe depressive symptoms have lower fractional anisotropy of the right UF, highlighting a possible neurobiological marker of the intergenerational transmission of risk for depression.

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Altered topological organization in white matter connectome in Parkinson’s disease with and without rapid eye movement sleep behavior disorder
Tao Guo1, Cheng Zhou1, Xiaojun Guan1, Xiaojun Xu1, and Minming Zhang1

1Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

We detected the alteration of white matter connectome in Parkinson’s disease (PD) patients with and without Rapid eye movement sleep behavior disorder (RBD). 155 PD patients including 66 possible RBD (pRBD) and 89 non-possible RBD (npRBD) and 71 normal controls were included. Diffusion-tensor magnetic resonance imaging and graph theory were used to explore the topologic organization of the brain structural connectome. Significant decreased nodal efficiency were found in specific regions including hippocampus and inferior occipital gyrus in PD-pRBD patients. Both these nodal properties were negatively correlated with RBD severity. This study may contribute to understand the pathophysiology of PD-RBD.  

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The Structural Connectivity Network of Basal Ganglia in Mouse Brain: MR Diffusion-Tractography at 9.4 T
A-Yoon Kim1 and Hyeon-Man Baek1,2

1Department of Health Science and Technology, GAIHST, Gachon University, gachon university, Incheon, Republic of Korea, Korea, Republic of, 2Lee Gil Ya Cancer and & Diabetes Institute, Gachon university, Incheon, Republic of Korea, Korea, Republic of

Tractography is becoming increasingly common in clinical settings for understanding pathological development and disease, and for assessing pre- and post-operative diagnosis. However, the study on neuronal connectivity network for basal ganglia, a DBS treatment target for Parkinson’s patients, remains unestablished. Therefore, in the present study we have visualized probabilistic diffusion tractography and investigated detailed 3D reconstruction of the projection of basal ganglia structures in mouse model using high-resolution 9.4T MRI. Multi-fiber tractography methods combined with diffusion MRI data have the poential to help identify brain DBS targets in function neurosurgery intervention.

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Altered whole-brain functional networks associated with cognitive dysfunction in end-stage renal disease patients with maintenance hemodialysis
Peng Li1,2, Xueying Ma3, Dun Ding3, Huawen Zhang1, Shaohui Ma3, and Ming Zhang3

1Imgaing department, NO.215 Hospital of Shaanxi Nuclear Industry, Xianyang, China, 2Medical Imaging department, The First Affilicated Hospital of Xi'an Jiaotong University, Xi'an, China, 3Imgaing department, The First Affilicated Hospital of Xi'an Jiaotong University, Xi'an, China

We focused on exploring the whole-brain resting-state functional networks abnormality by using the rs-fMRI with independent component analysis (ICA) algorithm and the relationships with cognitive dysfunction in ESRD patients with hemodialysis. 24 maintenance hemodialysis patients (MHD group) and 26 healthy control subjects (HCs) were evaluated a battery of neuropsychological tests and rs-fMRI scans. Compared with HCs, the MHD group showed worse neuropsychological performances and related decreased functional connectivity in the default mode network, the right frontoparietal network, and the sensorimotor network. Our study might contribute to better understanding underlying neuropathological substrate of cognitive dysfunction in patients with ESRD.


Multiple Sclerosis: Quantitative Imaging of Axons, Myelin & More

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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Sensitivity of NODDI and two-compartment SMT parameter maps in multiple sclerosis
Daniel Johnson1,2, Antonio Ricciardi1,3,4, Wallace Brownlee1, Baris Kanber1,5, Ferran Prados1,5,6, Sara Collorone1, Enrico Kaden3, Ahmed Toosy1,7, Daniel Alexander3, Claudia Angela Gandini Wheeler-Kingshott1,8,9, Olga Ciccarelli1,7, and Francesco Grussu1,3

1Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Croydon University Hospital, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 6Universitat Oberta de Catalunya, Barcelona, Spain, 7NIHR UCLH Biomedical Research Centre, London, United Kingdom, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy

We make a novel comparison of two diffusion MRI techniques modelling white matter microstructure: neurite orientation dispersion and density imaging (NODDI) and spherical mean technique (SMT) in 63 Multiple Sclerosis (MS) patients and 28 healthy controls using tract based spatial statistics. Both techniques show that there is a reduction in the intracellular volume fraction and an increase in neurite orientation dispersion in lesions and normal appearing white matter in MS patients when compared to controls. Additionally, SMT appears more sensitive to these differences, identifying a larger number of voxels showing significant differences between patients and controls in the studied parameters.

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Application of multi-shell NODDI to characterize acute and chronic MS lesions.
Simone Sacco1,2, Eduardo Caverzasi2,3, Tristan Gundel2, Shuiting Cheng 2, Carlo Asteggiano1,2, Christian Cordano2, Antjie Bischof2, Gina Kirkish2, Gillian Rush2, Nico Papinutto2, Stefano Bastianello3, Bruce A.C. Cree2, Stephen L. Hauser2, and Roland G. Henry2

1Department of Clinical Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy, 2Department of Neurology, University of California San Francisco, San Francisco, CA, United States, 3Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy

In order to overcome the limitations of conventional MRI in MS, we explored the ability of NODDI to characterize features of acute and chronic lesions. In our study, in line with a recent work that histologically investigated animal models, Orientation Dispersion Index (ODI) was significantly higher in enhancing lesions, thus representing a reliable tool for detecting acute inflammation. After enhancement, lesions could be divided based on their change in Neurite Density Index (NDI): lesions showing increasing NDI values were likely to be characterized  by partial remyelination, whereas lesions showing decreasing NDI values might be expression of chronic focal damage. 

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Neurite orientation dispersion and density imaging predicts disability at 8 years follow-up in relapsing remitting MS patient
Elda Fischi-Gomez1,2, Guillaume Bonnier3, Po-Jui Li4,5, Pietro Maggi6, Geraldine Le Goff6, Ludwig Kappos4, and Cristina Granziera4,5

1Signal Processing Laboratory 5, EPFL, Lausanne, Switzerland, 2AA Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA, United States, 3CSEM – Centre Suisse d’Electronique et Microtechnique, Neuchatel, Switzerland, 4Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 5Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 6Departement of Neurology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Neurite orientation dispersion and density imaging (NODDI) is a diffusion imaging technique that uses diffusion gradients of different strengths to provide novel metrics of axonal and dendrites integrity. In this study, we explored the value of NODDI metrics - in lesions and normal appearing tissue - to predict the long term disability in relapsing-remitting MS (RRMS) patients. NODDI metrics in NAWM and lesions showed significant correlations with patients disability at 8 years follow-up. Future studies should explore the predictive value of NODDI metrics in MS lesions and in larger cohorts of MS patients.

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Axonal Damage in the Optic Radiation Detected by Advanced Diffusion MR Metrics is Associated with Retinal Thinning in Multiple Sclerosis
Chanon Ngamsombat1,2, Qiyuan Tian1, Qiuyun Fan1, Andrew William Russo3, Thomas Witzel1, Lawrence Leroy Wald1, Eric Klawiter3, and Susie Huang1

1Department of Radiology, Massachusetts General Hospital / Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand, 3Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

Axonal damage diffusely involves the retina, optic nerve, and optic pathway in MS but lacks a specific imaging biomarker. We investigated the presence of alterations in advanced diffusion MRI metrics derived from WMTI and NODDI in the optic radiation (OR) in MS. We found a significant association between thinning of the retinal nerve fiber layer measured by OCT and reduction in axonal water fraction and intracellular water fraction in the OR as measured by WMTI and NODDI. Our results support the idea that axonal damage is widespread throughout the visual pathway in MS and may be mediated through trans-synaptic degeneration.

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Feasibility of NODDI for the characterization of multiple sclerosis clinical features
Agnese Tamanti1, Anna Isabella Pisani1, Alberto De Luca2, Francesca Benedetta Pizzini3, Marco Castellaro4, Carmela Zuco1, Damiano Marastoni1, Francesco Crescenzo1, Alessandra Bertoldo4,5, Marco Pitteri1, Roberta Magliozzi1,6, and Massimiliano Calabrese1

1Department of Neurosciences, Biomedicine and Movement sciences, University of Verona, Verona, Italy, 2University Medical Center, Image Sciences Institute, Utrecht, Netherlands, 3Neuroradiology Unit, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy, 4Padova Neuroscience Center, University of Padua, Padova, Italy, 5Department of Information Engineering, University of Padua, Padova, Italy, 6Division of Brain Sciences, Faculty of Medicine, Imperial College London Hammersmith Hospital, London, United Kingdom

Neurite Orientation Dispersion and Density Imaging (NODDI) is a diffusion weighted MRI technique introduced to asses neuronal microstructure. NODDI is used to retrieve indexes such as neurite density and fibers orientation dispersion that might be useful to assess neuronal damage and demyelination in multiple sclerosis (MS) MRI images. For this reason, we investigate its ability to differentiate to different MS phenotypes and clinical features in white matter and in multiple areas of the grey matter.

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Evaluation of white matter integrity in multiple sclerosis using ultra-high gradient diffusion imaging
Fang Frank Yu1, Eric F Klawiter2, and Susie Yi Huang3

1Radiology, UT Southwestern, Dallas, TX, United States, 2Neurology, MASSACHUSETTS GENERAL HOSPITAL, Boston, MA, United States, 3MASSACHUSETTS GENERAL HOSPITAL, Boston, MA, United States

Conventional MRI of multiple sclerosis lacks specificity for the underlying disease-related processes.  The use of ultra-high gradient diffusion imaging increases sensitivity for small caliber axons.  When used in combination with myelin-sensitive imaging, estimates of axonal volume fraction (AVF), myelin volume fraction (MVF), and the g-ratio can be obtained. Here, we derived estimates of axonal and myelin metrics on a per-voxel basis using ultra-high gradient diffusion MR and macromolecular tissue volume (MTV) in MS patients and healthy controls.  Compared to healthy subjects, focal MS lesions and to a lesser extent the normal appearing white matter demonstrated evidence of demyelination and axonal loss.

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Measuring white matter injury in children with demyelinating syndromes as revealed by non-Gaussian diffusion imaging
Sonya Bells1, Ann E Yeh1,2, and Donald Mabbott1

1Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada, 2Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada

Characterizing whole brain white matter structure in children with demyelinating syndromes (e.g. multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD), and myelin oligodendrocyte glycoprotein antibody related disorders (MOG)) may shed light on patterns of injury which are not apparent using conventional imaging techniques. We evaluated group differences in non-Gaussian diffusion data between 26 healthy control, 17 MS and 17 MOG/NMOSD children. We show white-matter microstructure differences between healthy controls and MS patients in areas associated with oculomotor function. Specifically, we show lower axonal density and myelin volume along optic radiations in MS patients than controls or NMOSD/MOG patients.

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Minimum Requirements for Diffusion Tensor Imaging (DTI) for a Longitudinal Trial
Ken E. Sakaie1, Mark J. Lowe1, and Robert J. Fox2

1Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 2Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States

This study examines the optimal number of diffusion-weighting gradients for using DTI as an outcome in a multicenter clinical trial. The results suggest that 6 directions may be sufficient for large, simple fiber tracts. This finding may help simplify the implementation of DTI into clinical trials.

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Longitudinal changes in diffusion basis spectrum imaging metrics of normal-appearing white matter and lesions in ocrelizumab-treated relapsing multiple sclerosis
Anika Wurl1,2, Irene M Vavasour3, Adam Dvorak4,5, Nathalie Ackermans1, Cornelia Laule3,4,5,6, David KB Li3, Robert Carruthers1, Alex L Mackay3,4, Roger Tam3,7, Anne H Cross8, Peng Sun8, Sheng-Kwei Song8, Hideki Garren9, Anthony Traboulsee1, and Shannon H Kolind1,4,5

1Medicine, University of British Columbia, Vancouver, BC, Canada, 2Physics, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 5International Cooperation on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 6Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 7School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 8School of Medicine, Washington University, St. Louis, MO, United States, 9Genentech, Inc., South San Francisco, CA, United States

Diffusion Basis Spectrum Imaging (DBSI) probes axonal and myelin damage by modeling the diffusion-weighted MRI signal as discrete anisotropic diffusion tensors while simultaneously differentiating and quantifying inflammation and edema through a modeled isotropic diffusion tensor spectrum. We studied 15 RMS patients beginning ocrelizumab treatment over two years as well as 10 healthy controls.

DBSI detected microstructural differences between RMS normal-appearing white matter, chronic and enhancing lesions, and healthy control white matter. Further, the metrics were sensitive to changes within two years of follow-up and showed improvement towards healthy control values in patients treated with ocrelizumab.


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Advanced MRI in subtypes of multiple sclerosis: T1, T2, water content and diffusion basis spectrum imaging
Irene M Vavasour1, Carina Graf2,3, Shannon H Kolind1,2,3,4,5, Peng Sun6, Robert L Carruthers4, Anthony Traboulsee4,5, GR Wayne Moore3,7, Sheng-Kwei Song6, David KB Li1,4,5, and Cornelia Laule1,2,3,7

1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 4Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 5MS/MRI Research Group, University of British Columbia, Vancouver, BC, Canada, 6Radiology, Washington University, St. Louis, MO, United States, 7Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

T1, T2, water content (WC) and diffusion basis spectrum metrics were compared from the normal appearing white matter (NAWM) of 10 clinically isolated syndrome (CIS), 27 relapsing-remitting multiple sclerosis (RRMS), 14 secondary progressive multiple sclerosis (SPMS) and 5 primary progressive multiple sclerosis (PPMS) subjects. SPMS showed higher WC, longer geometric mean T2 and a larger hindered fraction than CIS indicating increased oedema. Fibre fraction (apparent axonal density) was lower in RRMS and SPMS than CIS thought to reflect loss of axons or increased oedema. Advanced imaging can show differences between MS subtypes related to the underlying tissue damage.

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Tissue microstructure information from T2 relaxometry and diffusion MRI can identify multiple sclerosis (MS) lesions undergoing blood-brain barrier breakdown (BBB)
Sudhanya Chatterjee1, Olivier Commowick1, Onur Afacan2, Simon Keith Warfield2, and Christian Barillot1

1Univ Rennes, Inria, Inserm, CNRS, IRISA UMR 6074, VISAGES - ERL U 1228, F-35000, Rennes, France, 2Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States

Gadolinium based contrast agents (GBCA) play a critical role in identifying MS lesions undergoing BBB which is of high clinical importance. However, repeated use of GBCAs over a long period of time and the risks associated with administering it to patients with renal complications has mandated for greater caution in its usage. In this work we explored the plausibility of identifying MS lesions undergoing BBB from tissue microstructure information obtained from T2 relaxometry and dMRI data. We also proposed a framework to predict MS lesions undergoing BBB using the tissue microstructure information and demonstrated its potential on a test case.

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Myelin measurements using GRASE and mcDESPOT are strongly correlated with those from Multi-Echo Spin-Echo myelin water imaging in postmortem Multiple Sclerosis tissue
Heather Yong1,2, Irene Vavasour 1, Cornelia Laule3,4, Wayne G. Moore4, Roger Tam3, Anthony Traboulsee1, Bruce Trapp5, and Shannon Kolind 1

1Neurology, University of British Columbia, Vancouver, BC, Canada, 2Medicine, University of Calgary, Calgary, AB, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 5Neuroscience, Lerner Research Institute, Cleveland Clinic, Cleavland, OH, United States

We compared myelin water fraction (MWF) results from the gold standard multi-spin-echo (MSE) sequence to two accelerated techniques: gradient-and-spin-echo (GRASE), and multicomponent-driven equilibrium single pulse observation of T1/T2 (mcDESPOT) in a formalin-fixed multiple sclerosis brain. All three techniques were sensitive to differences in myelin throughout the sample, with MSE and GRASE producing equivalent MWF values. mcDESPOT estimated significantly higher MWF in both normal appearing white matter and lesion compared to MSE and GRASE. However, the MWF was strongly correlated (p<0.0001) between all three methods (r=0.88 for MSE vs. GRASE; r=0.89 for MSE vs. mcDESPOT; r=0.89 for GRASE vs. mcDESPOT).

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Quantitative Evaluation of Brain Tissue Damage in Multiple Sclerosis with SMART (Simultaneous Multi-Angular Relaxometry of Tissue) MRI
Biao Xiang1, Jie Wen2, Amber Salter3, Anne H. Cross4, and Dmitriy Yablonskiy2

1Department of Chemistry, Washington University in St. Louis, St. Louis, MO, United States, 2Department of Radiology, Washington University in St. Louis, Saint Louis, MO, United States, 3Division of Biostatistics, Washington University in St. Louis, Saint Louis, MO, United States, 4Department of Neurology, Washington University in St. Louis, Saint Louis, MO, United States

Quantitative MRI would be beneficial in evaluating tissue damage in Multiple Sclerosis (MS), but existing quantitative techniques are not yet widely used. Recently developed SMART MRI technique generates quantitative magnetization transfer and MR relaxometry data from a single protocol. Herein we present data suggesting that the SMART metrics can serve as biomarkers for MS tissue damage. Our results showed that SMART metrics readily distinguish RRMS from progressive MS subtypes, and correlate with clinical assessments of MS patients. These data suggest that SMART MRI is a highly promising technique for MS monitoring, and for use as an endpoint in clinical trials.

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Quantitative imaging biomarkers of demyelination and remyelination: reproducibility of MTsat vs. MTR.
Beth York1,2, Michael J. Thrippleton1,2, Rozanna Meijboom1,2,3, and Adam Waldman1,2,4

1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2Edinburgh Imaging, Edinburgh, United Kingdom, 3UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom, 4Imperial College London, London, United Kingdom

MTsat provides magnetization transfer information less confounded by B1 and T1 inhomogeneities than MTR (largely derived from bound protons within axonal myelin in the brain). The present study measured the reproducibility of MTsat versus MTR, and compared tissue-type contrast for MTsat and MTR in healthy volunteers and patients with relapsing-remitting multiple sclerosis. Quantitative maps were created for histogram analysis, descriptive statistics and sensitivity comparisons. MTsat and MTR showed similar reproducibility but MTsat showed higher tissue contrast. Our data suggest MTsat is a superior biomarker for myelin integrity, with utility for the study of demyelination and remyelinating therapies in multiple sclerosis.

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Sodium MRI, SMT, and qMT in Black Holes in Multiple Sclerosis
Ping Wang1,2, Junzhong Xu2,3, Richard Dortch2,3, John C. Gore2,3, and Francesca R. Bagnato4

1Radiology and Imaging Sciences, University of Utah School of Medicine, Salt Lake City, UT, United States, 2Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Clinical Neurology, Vanderbilt University Medical Center, Nashville, TN, United States

Black holes in multiple sclerosis (MS) are considered to be more indicative of axonal loss than T2 lesions. We employed three novel MRI techniques, sodium MRI, diffusion MRI via the spherical mean technique, and quantitative magnetization transfer to measure tissue sodium concentration (TSC, for axonal dysfunction), apparent axonal volume fraction (Vax, for axon loss), and macromolecular-to-free pool-size-ratio (PSR, for demyelination degree), respectively. The results showed significant differences of the measures between black holes and the contralateral normal appearing white matters, indicating the potential of using these techniques to provide more specific information on underlying pathology in MS.

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Quantitative magnetization transfer MRI with improved specificity to demyelinating lesions
Jung-Jiin Hsu1 and Roland G. Henry1

1Department of Neurology, University of California San Francisco, San Francisco, CA, United States

MRI techniques that utilize the magnetization transfer (MT) effect are highly desirable as they potentially can map the myelin content. However, MT measurements produced by conventional MT-MRI techniques, such as MT ratio imaging, vary with the pulse sequence and the scan parameters used. The MT effect and the intrinsic spin–lattice relaxation, both a component of the MR longitudinal relaxation, must be separated to improve MT-MRI accuracy and precision. To solve the problem, a method for MT-MRI is developed in this work. In patients of multiple sclerosis, the present MT-MRI shows improved specificity to demyelinating lesions in the brain.

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Don’t track edema if you are interested in demyelination: Quantitative susceptibility mapping of MS lesions depends on the image contrast used for lesion definition
Christoph Birkl1,2, Christian Kames1, David Li3, Anthony Traboulsee4, and Alexander Rauscher1,3,5

1UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 4Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 5Department of Pediatrics (Division of Neurology), university of British Columbia, Vancouver, BC, Canada

The purpose of this study was to evaluate how definition of multiple sclerosis lesions affects the measurement of quantitative magnetic susceptibility measurements in these lesions. Masks were drawn on FLAIR and QSM images at baseline and different follow-up time points. QSM was analyzed longitudinally across these lesion masks of the same lesion and compared to NAWM. A strong variability in longitudinal QSM was observed when masks were drawn on FLAIR images. The most consistnt behavior was seen on QSM based masks. The time point of lesion definition had a stronger influence when using FLAIR maks than with QSM based masks.

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Utilizing QSM to assess long-term longitudinal susceptibility changes in enhancing multiple sclerosis lesions
Shun Zhang1,2, Thanh D. Nguyen2, Sandra Milena Hurtado Rua3, Yi Wang2,4, and Susan A. Gauthier5

1Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Mathematics, College of Sciences and Health Professions, Cleveland State University, Cleveland, OH, United States, 4Biomedical Engineering, Cornell University, Ithaca, NY, United States, 5Neurology, Weill Cornell Medical College, New York, NY, United States

We measured the longitudinal susceptibility change of 32 new Gd-enhancing lesions from 19 multiple sclerosis (MS) patients over six years.  Lesion susceptibility increased to peak within 1-2 years and was followed by a steady decline. Lesions with QSM rim had an overall higher susceptibility and demonstrated a decay rate that was significantly slower compared to that of lesions without rim. 

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Phase imaging and serum neurofilaments: a combined laboratory-imaging marker of multiple sclerosis chronic inflammation
Pietro Maggi1, Martina Absinta2, Amandine Mathias3, Pascal Sati2, Caroline Pot1, Reto Meuli4, Jens Kuhle5, Ludwig Kappos5, Du Pasquier Renaud1, Daniel S. Reich2, and Cristina Granziera5,6

1Department of Neurology, Lausanne University Hospital, Lausanne, Switzerland, 2Translational Neuroradiology Section/NINDS, National Institutes of Health, Bethesda, MD, United States, 3Laboratory of Neuroimmunology, Lausanne University Hospital, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland, 5Department of Neurology, Basel University Hospital, Basel, Switzerland, 6Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engeneering, Basel University Hospital, Basel, Switzerland

In multiple sclerosis (MS), persistent chronic inflammation at the edges of old non-gadolinium-enhancing white matter lesions, is identified with a paramagnetic rim on susceptibility-based-MRI sequences. Serum neurofilaments (sNfL) levels are associated with disease activity and neurodegeneration in acute and chronic phases of MS. Whether the presence of chronic inflammation is accompanied by increased in neuroaxonal destruction is currently unknown. We showed that MS patients featuring chronic inflammation at the lesions edges have higher neuroaxonal destruction than patients without. The combination of paramagnetic rim and sNfL may help in the selection of “chronically” active MS patients who may benefit from disease-modifying-treatments.

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Multi-Parametric White Matter Imaging in Multiple Sclerosis Lesions
Ewart Mark Haacke1,2,3, Evanthia Bernitsas4, Karthikeyan Subramanian1, David T Utriainen2,3, Vinay Kumar5, Sean Kumar Sethi2,3, Yongsheng Chen1,2, Zahid Latif1, Pavan Kumar1, Xiomeng Zheng6, Robert A Comley6, and Yanping Luo6

1Wayne State University, Detroit, MI, United States, 2The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, 3Magnetic Resonance Innovations Inc., Bingham Farms, MI, United States, 4Multiple Sclerosis Center, Wayne State University School of Medicine, Detroit, MI, United States, 5MR Medical Imaging Innovations Inc., Hyderabad, India, 6AbbVie, North Chicago, IL, United States

A multiparametric quantitative white matter study using MRI was designed to include 15 relapsing remitting MS patients and 10 age and sex matched controls.  The imaging protocol acquired 3D conventional imaging, SWI, QSM, DTI, MTC, and STrategically Acquired Gradient Echo (STAGE) imaging.  ROI were manually drawn around MS lesions in T2-FLAIR and QSM.  Contralateral normal appearing white matter (NAWM) and NAWM in controls were drawn in all modalities to measure mean intensity and volume. We found a good correlation between QSM, MTR, FA, MWF and conventional imaging. QSM’s sensitivity to demyelination best complimented T2-FLAIR’s sensitivity to inflammation and scarring. 

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Phase opposed cerebral vasoreactivity in multiple sclerosis: evidences of a link between white matter tracts and vascular alterations
Jeremy Deverdun1, Arthur Coget2, Victor Vagné3, Amel Benali1, Pierre Labauge4, Nicolas Menjot de Champfleur1,2, and Emmanuelle Le Bars1

1I2FH, Institut d’Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier, France, Montpellier, France, 2Department of Neuroradiology, University Hospital Center, Gui de Chauliac Hospital, France, Montpellier, France, 3LIRMM, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France, Montpellier, France, 4Department of Neurology, CHU de Montpellier, Montpellier, France, montpellier, France

Patients with multiple sclerosis (MS) have a higher risk for ischaemic stroke. The current hypothesis states that white matter (WM) fibers alterations causes, through astrocytes, a cerebral vasoreactivity (CVR) disruption resulting in a hypoperfusion. Due to the location of the astrocytes, we expect an altered vasoreactivity mainly around WM tracts. Using a MR vasoreactivity experiment, we could identify altered WM pathways. In MS patients a path from left anterior insula to both precentral gyrus and right middle and superior frontal gyrus highlighted an altered CVR compared to controls. A negative association was found with fNART in the cingulum limbic pathway.

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Contrast to Noise Measurements of Multiple Sclerosis Lesions using QSM at 7T:  Comparison with Conventional Contrasts
Kevin Koch1, Robin Karr1, Staley Brod2, and L. Tugan Muftuler3

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurosurgergy, Medical College of Wisconsin, Milwaukee, WI, United States

Multiple Sclerosis (MS) has been a condition of particular interest to the QSM community, due to the conspicuity that white matter abnormalities show in QSM contrast images.  While several studies have examined small cohort case findings of QSM variations within MS subjects at ultra-high field, an analysis of QSM contrast-to-noise ratio across a wide range of lesions has yet to be performed. Here, we present quantitative CNR analysis of 65 MS lesions spread across 10 subjects scanned with a high resolution 3D protocol at 7T.

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Myelin-sensitive indices in multiple sclerosis: the unseen qualities of qualitative clinical MRI
Antonio Ricciardi1,2, Francesco Grussu1,3, Marco Battiston1, Ferran Prados1,2,4, Baris Kanber2, Rebecca S Samson1, Daniel C Alexander3, Declan T Chard1,5, and Claudia A M Gandini Wheeler-Kingshott1,6,7

1Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, United Kingdom, 4Universitat Oberta de Catalunya, Barcelona, Spain, 5National Institute for Health Research (NIHR), University College London Hospital (UCLH) Biomedical Research Center, London, United Kingdom, 6Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 7Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy

Specialised quantitative MRI techniques, while considered state-of-the-art for quantitative studies, increase acquisition times and costs. On the other hand, clinical techniques routinely added to every MR-protocol are dismissed from quantitative analyses because labelled as qualitative. In this study, macromolecular tissue volume (MTV) and T1-/T2-weighted ratio (T1w/T2w) maps extracted from clinical images were compared with magnetisation transfer ratio (MTR, gold standard for myelin mapping) to assess whether clinical scans can also be used for myelin mapping in multiple sclerosis. Good correlation and similar sensitivity to disease were observed for both comparisons, with MTV appearing overall more reliable than T1w/T2w when compared with MTR.

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Myelin imaging derived from quantitative parameter mapping
Yuki Kanazawa1, Masafumi Harada1, Yo Taniguchi2, Hiroaki Hayashi3, Takashi Abe1, Maki Otomo1, Yuki Matsumoto1, Masaharu Ono4, Yoshitaka Bito4, and Akihiro Haga1

1Tokushima University, Tokushima, Japan, 2Research & Development Group, Hitachi, Ltd., Tokyo, Japan, 3Kanazawa University, Kanazawa, Japan, 4Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan

We developed a novel method which is applicable to visualize myelin component in the human brain using relaxation time derived from QPM-MRI. Our method demonstrated acknowledgement that the myelin content increased proportionally by times R1 and R2 in healthy volunteers. Linear regression analysis showed a strong and highly significant correlation between conventional T1w/T2w ratios and R1·R2* times derived from QPM (R = 0.61, P < 0.0001). In conclusion, our myelin mapping technique using QPM may replace conventional T1w/T2w ratio mapping and be expected to become independent of measurement conditions due to having quantitative characteristic of QPM itself.

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The myelin-weighted connectome: a new look at multiple sclerosis
Tommy Boshkovski1, Atef Badji1,2, Predrag Janic3, Ljupco Kocarev3, Julien Cohen-Adad1,2, Antonio Giorgio4, Nicola De Stefano4, Bratislav Misic5, and Nikola Stikov1,6

1NeuroPoly Lab, Ecole Polytechnique de Montreal, Montreal, QC, Canada, 2Department of Neurosciences, Faculty of Medicine, University of Montreal, Montreal, QC, Canada, 3Macedonian Academy of Sciences and Arts, Skopje, FYR Macedonia, 4Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy, 5Montreal Neurological Institute, Montreal, QC, Canada, 6Montreal Heart Institute, Montreal, QC, Canada

Myelin imaging has yet to make its way into standard connectomics protocols. Myelin-specific MRI metrics are useful for the assessment of neurological conditions that affect white matter. In this study we compared the structural connectomes of multiple sclerosis (MS) patients and healthy controls. Magnetization transfer ratio was used as a myelin-specific metric computed along each tract (MTR-weighted connectome) and compared against the connectome weighted by fractional anisotropy (FA-weighted connectome). We then identified the connections that were reliably different between MS patients and controls, and found 100 connections that were unique to the MTR-weighted connectome and 62 connections that were unique to the FA-weighted connectome.


Emerging Technology & Translational Imaging 2

Exhibition Hall
Tuesday 16:45 - 17:45
 Neuro

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Amide proton transfer in amyotrophic lateral sclerosis
Zhuozhi Dai1,2, Sanjay Kalra1, Dennell Mah1, Peter Seres1, Gen Yan3, Hongfu Sun4, Zhiwei Shen5, Renhua Wu5, and Alan H. Wilman1

1University of Alberta, Edmonton, AB, Canada, 2Radiology, 2nd Affiliated Hospital of Shantou University Medical College, Shantou, China, 3Affiliated Hospital of Jiangnan University, Wuxi, China, 4Hotchkiss Brain Institute, Calgary, AB, Canada, 52nd Affiliated Hospital of Shantou University Medical College, Shantou, China

There is lack of objective imaging indicators for ALS diagnosis and assessment. Our hypothesis is that amide is altered due to neurodegeneration in ALS, and this alteration will be visible on APT images. This study aims to explore the value of APT in ALS patients as a possible image biomarker of disease. Thirty-two participants were recruited as part of the Canadian ALS Neuroimaging Consortium. This study first demonstrated changes of APT in the motor cortex and corticospinal tract of ALS patients. The combination of APT and DTI can simultaneously detect changes of metabolism and microstructure in ALS patients.

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Visualization of CSF flow of whole brain using 3D dynamic iMSDE SSFP
Tomohiko Horie1,2, Nao Kajihara1, Haruo Saito2, Shuhei Shibukawa1, Susumu Takano1, Natsuo Konta1, Makoto Obara3, Tetsuo Ogino3, Tetsu Niwa4, Kagayaki Kuroda5, and Mitsunori Matsumae6

1Department of Radiology, Tokai University Hospital, Isehara, Japan, 2Division of Diagnostic Image Analysis Graduate School of Medicine, Tohoku University, Sendai, Japan, 3Healthcare, Philips Electronics Japan Ltd., Shinagawa, Japan, 4Department of Radiology, Tokai University School of Medicine, Isehara, Japan, 5Course of Electrical and Electronic Engineering, Graduate School of Engineering, Tokai University, Hiratsuka, Japan, 6Department of Neurosurgery, Tokai University School of Medicine, Isehara, Japan

We reported a technique to visualize the irregular flow of cerebrospinal fluid (CSF) in whole brain by using dynamic improved motion-sensitized driven-equilibrium steady-state free precession (dynamic iMSDE SSFP). The purpose of this study was to propose a new technique using 3D dynamic iMSDE SSPF for visualizing the slow and irregular CSF flow of whole brain. 3D dynamic iMSDE SSPF can visualize the connection between the CSF space and a small lesion. This technique is suggested to contribute to the diagnosis of various diseases in the CSF space.

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Measurement of cerebral perfusion changes during breath holding using pCASL with an accelerated 3D readout: an approach to quantify cerebrovascular reactivity.
Sergio M. Solís-Barquero1, Rebeca Echeverria1, Elena Cacho-Asenjo2, Antonio Martínez-Simón2, Marta Vidorreta3, Pablo Domínguez1, Miguel Fernández1, and María A. Fernández-Seara1

1Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 2Anesthesia, Perioperative Medicine and Critical Care, Clínica Universidad de Navarra, Pamplona, Spain, 3Siemens Healthineers, Madrid, Spain

Cerebrovascular reactivity (CVR) can be defined as the change in flow in response to a vasoactive agent. Hypercapnia is known to cause global increases in cerebral blood flow (CBF). ASL can provide a quantitative measure of CBF changes. The objective of this research was to determine whether pseudo-continuous ASL (pCASL) with an accelerated 3D readout, combined with breath-hold induced hypercapnia, is a practicable method for evaluating CVR. Results showed that the faster readout provided whole-brain coverage at isotropic resolution and allowed a post-labeling delay long enough to avoid macrovascular signal artifacts, while keeping TR short to sample several points per breath-hold.

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Tractography of complex white matter bundles: limitations of diffusion MRI data upsampling
Dmitri Shastin1, Umesh Rudrapatna2, Greg Parker2, Khalid Hamandi1, William P. Gray1, Derek K. Jones2, and Maxime Chamberland2

1Cardiff University Brain Research Imaging Centre (CUBRIC), Division of Clinical Neurosciences and Psychological Medicine, School of Medicine, Cardiff University, Cardiff, United Kingdom, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom

Diffusion MRI images for fiber tractography are often acquired at low spatial resolution which may lead to underestimation of smaller tracts with complex morphology. Although upsampling may improve results, this has had mixed observations in the literature. We compared three datasets (2×2×2 mm3, 1.5×1.5×1.5 mm3, and 2×2×2 mm3 upsampled to 1.5×1.5×1.5 mm3) obtained and processed using state-of-the-art hardware and methodology. By evaluating the appearances and streamline metrics of the corticospinal tract, anterior commissure and small subcortical U-shaped fibers as test bundles, we demonstrated that the original high-resolution dataset outperformed both the low-resolution and upsampled data in resolving complex regional anatomy.

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Assessment of repeatability of imaging inhaled hyperpolarized xenon-129 in the human brain
Madhwesha Rao1, Graham Norquay1, and Jim Wild1

1University Of Sheffield, Sheffield, United Kingdom

This study assesses the repeatability of image quality of inhaled hyperpolarized 129Xe brain MRI by assessing the signal-to-noise ratio of 129Xe brain images for five healthy subjects. A maximum signal-to-noise ratio of 18.8 ±6.1 and mean signal-to-noise ratio of 12.1 ±3.8 was observed over the five volunteers. An intra-subject variability between ±6 % and ±30 %, and inter-subject variability of ±30 % was observed. By using an optimized polarizer, RF coil and pulse sequence as in this study, we believe the signal-to-noise ratio is sufficiently reproducible for further clinical evaluation.

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Quantitative Magnetization Transfer of the Human Locus Coeruleus
Paula Trujillo1, Kalen J. Petersen1, Seth A. Smith2,3,4, and Daniel O. Claassen1

1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States

The locus coeruleus (LC) is the major source of norepinephrine in the brain and it is affected in several neurodegenerative disorders. We used quantitative magnetization transfer (MT) imaging to create parametric maps of the macromolecular content of the LC and neighboring tissues. We found that the macromolecular content was lower in the LC compared to the surrounding pontine tegmentum, suggesting that LC contrast is related to MT effects.  

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Progesterone, not estrogen modulates cerebral blood flow across the menstrual cycle
Samantha Cote1, Russell Butler1, Marie Anne Richard1, Adrianna Mendrek2, Jean-Francois Lepage3, and Kevin Whittingstall4

1Médecine nucléaire et radiobiologie, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Psychology, Bishop's University, Sherbrooke, QC, Canada, 3Pediatrie, Université Sherbrooke, Sherbrooke, QC, Canada, 4Radiologie diagnostic, Université de Sherbrooke, Sherbrooke, QC, Canada

The sex hormones estrogen (EST) and progesterone (PROG) are known vasodilators, yet little is known about how large changes in concentrations across the menstrual cycle (MC) influences CBF. This study aimed to determine how fluctuations in EST and PROG across the MC influence CBF and cerebral arteries.  CBF and arteries were evaluated twice in female participants when PROG was low and high. There were region-specific and dose-dependent effects of PROG (but not EST) on CBF, but not arterial diameters. This indicates that cerebral vascular function in women is dynamic across the MC and is not due to vasodilatory effects of EST or PROG. 

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Quantitative Data Driven Voxel-Wise Simulator (QVS): Application to 3D MP-RAGE Optimization for Harmonization of Multi-Centre Brain MRI Studies
Irtiza A Gilani1, John S Thornton1,2, Martina F Callaghan3, Marzena Wylezinska-Arridge1,2, Stephen J Wastling1,2, Tarek A Yousry1,2, and David L Thomas1,4

1Department of Brain Repair and Rehabilitation,Institute of Neurology, University College London, London, United Kingdom, 2Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Trust, London, United Kingdom, 3Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, United Kingdom, 4Leonard Wolfson Experimental Neurology Centre, UCL Queen Square Institute of Neurology, London, United Kingdom

Typical MRI simulators are either based on the signal equations or on the solution to the Bloch equations for each voxel, with appropriate image encoding incorporated. In this work, a novel modular approach to simulate MR sequences, termed quantitative voxel-wise simulator (QVS), is proposed. This simulator employs quantitative parametric maps as inputs, models the evolved MR signal as a multi-dimensional filter output and reconstructs the image by using a voxel-by-voxel modulated k-space approach. As a proof-of-concept, 3D MP-RAGE sequence is simulated and the simulated images are compared with in-vivo data. QVS is designed for multi-centre brain MRI harmonization.

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Differentiation between Hemorrhage and Calcifications by Assessing the Dipole Patterns on Unwrapped Phase Images of Gradient-recalled Echo Sequence
Eung Yeop Kim1, Sung Hyun Yu1, and Jongho Lee2

1Radiology, Gachon University College of Medicine, Incheon, Korea, Republic of, 2Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of

Both cerebral hemorrhages and calcifications may show similar internal heterogeneity on phase images, limiting its clinical utility. We assessed a dipole artifact (both the upper/lower poles and the equatorial region) on phase images in 123 patients with hemorrhages (n=119) and calcifications (n=75). All hemorrhagic lesions were perfectly determined, while all but one calcification showed a diamagnetic dipole pattern. The equatorial phase values (degree) were significantly different between hemorrhages and calcifications (-10.41±10.66 versus 10.86±9.53; P<0.0001). The signal intensities of both the lobes and the equatorial rim on GRE phase images accurately differentiate hemorrhages from calcifications irrespective of internal heterogeneity.

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Application of 3T Magnetic Resonance 3D StarVIBE Sequence in Fetal Brain
Xuesheng Li1, Haibo Qu1, Fenglin Jia1, Gang Ning1, Juncheng Zhu1, Zhijun Ye1, Shaoyu Wang2, Huapeng Zhang2, and Zhitao Zhang2

1West China Second University Hospital,University, Sichuan, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Sichuan, China, Chengdu, China, 2Siemens Healthineers, China, Shanghai, China

Fast T2-weighted imaging is a commonly used diagnostic sequence for fetal MR. Because of the limitations of fetal development, the imaging effect of T1 nervous system imaging is difficult to achieve like the post-natal image effect. The 3D StarVIBE sequence is used as a new sequence under 3T MR, using a radial K-space filling, not sensitive to motion, can be applied to the fetal nervous system examination. Recent reports suggest that the TurboFLASH(TFL) sequence with an optimized TI time of 2500 ms is used as an advantage of excellent contrast and overcoming motion artifacts in 2D gradient echo sequences. Therefore, this study will use the 3D StarVIBE sequence and the TFL sequence as a reference to judge its imaging effect.

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Longitudinal brain volume changes in pre-menopausal breast cancer patients treated with chemotherapy
Gwen Schroyen1, Jeroen Blommaert2, Mathieu Vandenbulcke3,4, Ahmed Radwan1, Ann Smeets2,5, Ron Peeters1,6, Charlotte Sleurs2, Patrick Neven2,7, Hans Wildiers2,8, Frederic Amant2,7,9, Stefan Sunaert1,6, and Sabine Deprez1

1Imaging and Pathology, KU Leuven, Leuven, Belgium, 2Oncology, KU Leuven, Leuven, Belgium, 3Neurosciences, KU Leuven, Leuven, Belgium, 4Psychiatry, KU Leuven, Leuven, Belgium, 5Surgical Oncology, KU Leuven, Leuven, Belgium, 6Radiology, KU Leuven, Leuven, Belgium, 7Gynaecology and Obstetrics, KU Leuven, Leuven, Belgium, 8General Medical Oncology, KU Leuven, Leuven, Belgium, 9Center for Gynaecologic Oncology, Anthoni van Leeuwenhoek, Netherlands Cancer Insitute, Academical Medical Center, Amsterdam, Netherlands

This longitudinal study investigates possible recovery of volumetric brain changes in pre-menopausal patients three years after being treated for early-stage breast cancer. While initial widespread white matter volume increase was previously observed, recovery is seen three years after treatment in the same group of young women treated with chemotherapy. Patients with breast cancer show widespread gray matter volume decrease, observed both in patients treated and not treated with cytotoxic agents. Further studies are necessary to unravel possible acute volumetric changes, possibly neuro-inflammatory mechanisms, in this population as a cause for these findings.

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3D Flow Compensated Interleaved EPI for a Fast High-Resolution Susceptibility-Weighted Imaging at 1.5T
Wei Liu1, Kun Zhou1, Shi Cheng1, and Kawin Setsompop2,3,4

1Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 2Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

We implemented a first order gradient nulling (GMN) based partial flow compensation in 3D interleaved EPI and assessed its feasibility for a fast high-resolution SWI application at 1.5T. Specifically, we used GMN to zero the velocity-induced phase error at the center echo for each shot in both phase and frequency encoding directions.  The slice direction implementation was identical to that for 3D GRE, with flow compensation for both slice selective gradient and partition encoding gradient. In addition, each shot was sequentially acquired twice with the swapped readout polarity in the second to further reduce the phase oscillates between the even and odd echoes in each shot. Flow phantom and in-vivo experiments were performed to validate that flow effect is effectively reduced even not all echoes have been fully flow compensated.  

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Quantitative pharmacokinetic comparison of adenoma and normal pituitary gland using high-temporal and spatial resolution dynamic contrast enhanced MRI
Kiyohisa Kamimura1, Masanori Nakajo1, Tomohide Yoneyama1, Yoshihiko Fukukura1, Shingo Fujio2, Takashi Iwanaga3, Hiroshi Imai4, and Takashi Yoshiura1

1Radiology, Kagoshima University, Kagoshima, Japan, 2Neurosurgery, Kagoshima University, Kagoshima, Japan, 3Radiological Technology, Kagoshima University Hospital, Kagoshima, Japan, 4Siemens Healthcare K.K, Tokyo, Japan

Preoperative localization of the normal pituitary gland is important in patients with pituitary adenoma. Our aim was to evaluate the possible role of high-temporal and spatial resolution dynamic contrast enhanced MR imaging (DCE-MRI) and quantitative pharmacokinetic analysis in differentiation of the normal pituitary gland from pituitary adenoma. The normal pituitary gland showed significantly higher IAUC, Ktrans, kep and ve than pituitary adenoma. The ROC curve analysis showed significance for IAUC, Ktrans, kep and ve (AUC = 0.958, 0.882, 0.781 and 0.851, respectively). These quantitative parameters may be useful for differentiation of the normal pituitary gland from pituitary adenoma.

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Diagnostic performance of a new multicontrast one minute full brain exam (EPIMix) in neuroradiology
Anna Falk Delgado1, Annika Kits2, Jessica Bystam2, Magnus Kaijser2, Mikael Skorpil2, Tim Sprenger2,3, and Stefan Skare2

1Clinical Neuroscience, Karolinska, Stockholm, Sweden, 2Karolinska, Stockholm, Sweden, 3GE Healthcare, Stockholm, Sweden

This study assess if a new one minute multi contrast MRI method has comparable diagnostic performance as conventional MRI in brain imaging. Prospectively consecutively included patients (n=101) underwent a conventional clinical brain MRI in addition to a new 80 seconds multi contrast MRI sequence named EPIMix. The diagnostic performance to categorize a clinical brain MRI scan with EPIMix or conventional MRI as abnormal (symptom-causing lesion) was comparable between EPIMix (AUC 0.97 (95%CI 0.94-1.00) and 0.98 (95% CI 0.96-1.00)) and conventional MRI (AUC 1.00 (95% CI 1.00-1.00)), (n=96-101).


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Magnetic resonance neurography reveals association between low serum cholesterol and peripheral nerve damage in type 2 diabetes
Johann ME Jende1, Jan B Groener1, Zoltan Kender1, Sabine Heiland2, Stefan Kopf1, Mikro Pham3, Peter Nawroth1, Martin Bendszus2, and Felix T Kurz2

1Heidelberg University Hospital, Heidelberg, Germany, 2Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 3Neuroradiology, Würzburg University Hospital, Würzburg, Germany

Diabetic polyneuropathy (DPN) is a major contributor for morbidity in diabetes; however, up to this day, there is a lack of sufficient strategies to prevent this disorder especially in patients suffering from type 2 diabetes (T2D). Specifically, it remains controversially discussed if a lowering of serum cholesterol has beneficial effects on the course of T2D DPN. Using in vivo high resolution magnetic resonance neurography in 100 type 2 diabetes patients with and without DPN, we found that lowering of serum cholesterol, especially lowering of LDL, is strongly associated with an increase in visible nerve damage. We further found a significant correlation between the amount of nerve damage and the patients’ statin dose. In T2D patients, this effect is potentially relevant for therapies that promote an aggressive lowering of serum cholesterol. 

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Regional morphometric abnormalities and clinical relevance in Wilson's disease
Yukun Song1, Jianping Chu2, Lin Zou3, and Xiaoying Tang4

1Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China, 2Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 3Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China, 4Southern University of Science and Technology, Shenzhen, China

In this study, coarse-to-fine evaluations were creatively made in terms of both global volume and local shape to identify Wilson’s disease (WD)-related morphometric abnormalities of eight structures of interest (caudate, putamen, globus pallidus, thalamus, amygdala, hippocampus, red nucleus and substantia nigra). Our results revealed that significant volume reductions and region-specific surface atrophy were detected in all structures of interest except the bilateral hippocampus in patients with WD relative to HC subjects, and the putamen had the strongest global and local atrophy and the amygdala was least affected. These morphometric abnormalities may serve as useful imaging biomarkers for WD.

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Neuromelanin-sensitive Magnetic Resonance Imaging Study of the Substantia Nigra in Huntington’s Disease
Ricardo V. Leitão1, Sofia Reimão2,3, Leonor Correia-Guedes3,4, Joaquim J. Ferreira3,5, and Rita G. Nunes1

1ISR-Lisbon/LARSyS and Department of Bioengineering, Instituto Superior Técnico - University of Lisbon, Lisbon, Portugal, 2Neurological Imaging Department, Hospital de Santa Maria - CHLN, Lisbon, Portugal, 3Instituto de Medicina Molecular, Faculdade de Medicina, University of Lisbon, Lisbon, Portugal, 4Department of Neurosciences and Mental Health, Neurology, Hospital de Santa Maria - CHLN, Lisbon, Portugal, 5CNS – Campus Neurológico Sénior, Torres Vedras, Portugal

Neuromelanin(NM)-sensitive MRI (NM-MRI) is a promising technique to study pathological changes in NM-containing structures, such as the substantia nigra pars compacta (SNc). This midbrain structure modulates the corticostriatal pathway through the striatum, which is known to degenerate in Huntington’s Disease (HD). Our study used NM-MRI for the first time to study HD, with a semi-automatic segmentation method to evaluate the SNc, compatible with dopaminergic neuronal loss in the SNc of HD patients. SNc NM correlated with the volumes of the caudate, putamen and globus pallidus, suggesting that SNc neuronal loss and basal ganglia atrophy may not be independent processes.

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Multimodal Models Provide Earlier Prediction (10 Years Prior to Diagnosis) of Dementia and Cognitive Decline  and Personalized Actionability for Risk Mitigation for At-Risk Individuals
Natalie M Schenker-Ahmed1, Ilan Shomorony1,2, Jian Wu1, Alex Graff1, Naisha Shah1, Peter Garst1, Nafisa Bulsara1, Krisztina Marosi1, Dmitry Tkach1, Lei Huang1, Axel Bernal1, Jason Deckman1, Hyun-Kyung Chung1, Wayne Delport1, David S Karow1, and Christine Leon Swisher1

1Human Longevity, Inc., San Diego, CA, United States, 2Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Current approaches for predicting an individual’s risk of developing dementia rely primarily on single modality data and/or single biomarkers.  Here we evaluate the utilization of non-invasive MR imaging and genetics for early detection and prediction of cognitive decline and dementia. We demonstrate superior performance of our multi-measurement, multimodal approach. Moreover, our approach performs as well or better than invasive amyloid PET. We further show a method that identifies modifiable factors upon which an individual can act to mitigate their risk with the long-term goal of empowering high-risk individuals with personalized action plans earlier when the disease progression can be slowed. 

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Investigating the biodistribution of the antiinflammatory drug teriflunomide in vivo using 19F MRI
Christian Prinz1, Jason Michael Millward1, Paula Ramos Delgado1, Ludger Starke1, Andreas Pohlmann1, Thoralf Niendorf1,2, and Sonia Waiczies1

1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine, Berlin, Germany, 2Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany

Teriflunomide is a trifluorinated drug indicated in the treatment of multiple sclerosis (MS). Using fluorine (19F) MR methods, the biodistribution of this anti-inflammatory drug could be examined in vivo to guide pharmacological studies and dosage adjustments en route to individualized therapy. In this study, we administered teriflunomide to healthy rats and an animal model of MS. We could detect teriflunomide non-invasively in various tissues in vivo, during the disease course and ex vivo.

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Diagnosing  MS using Central Veins at Clinically Relevant Image Resolutions
Edward J Peake1, Margareta Clarke2, Christopher R Tench1, Nikos Evangelou1, and Paul S Morgan3

1Faculty of Medicine & Health Sciences, The University of Nottingham, Nottingham, United Kingdom, 2Vall d'Hebron University Hospital, Barcelona, Spain, 3Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom

The central vein sign is well documented as a biomarker for multiple sclerosis at high-resolution MRI. To investigate its potential at lower resolution and inform clinical MR protocol parameters, interpolation was used to demonstrate the effect of decreasing the resolution in 30 MS patients who underwent 7T-MRI. Finding were compared to 5 Non-MS groups (n = 82) at different resolutions using logistic regression. At half the original resolution the proportion of perivenular lesions changed considerably (73% to 47%), however, classification results remained unaffected provided the threshold (proportion of perivenular lesions) used for the differentiation decreased at lower resolution.

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Validation of an Image Derived Input Function Method for 15O-water PET/MR Brain Scans
Mohammad Mehdi Khalighi1, Audrey Peiwen Fan1, Mathias Engström2, Lieuwe Appel3, Gunnar Antoni4, Frederick T Chin1,5, Eva Kumlien6, Greg Zaharchuk1,5, and Mark Lubberink7

1Radiology, Stanford, Stanford, CA, United States, 2Applied Science lab, GE Healthcare, Uppsala, Sweden, 3PET Centre, Medical Imaging Centre, Uppsala University Hospital, Uppsala, Sweden, 4Medicinal Chemistry, Uppsala University, Uppsala, Sweden, 5Molecular Imaging Program, Stanford, Stanford, CA, United States, 6Neuroscience, Uppsala University, Uppsala, Sweden, 7Medical Physics, Uppsala University, Uppsala, Sweden

A recently introduced image-derived input function (IDIF) method on a PET/MR scanner addresses the spill-in and spill-over artifacts on the PET images by measuring the true carotid artery volume by an MR-angiogram. This study validates the IDIF method for quantification of cerebral blood flow (CBF) from 15O-water PET, using arterial blood sampling as the gold standard in 20 subjects. CBF measured by IDIF and BSIF were correlated (R2= 0.5) in the gray-matter and whole-brain, with average difference of only 3%.

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Characterisation of ageing effects using multiparametric quantitative imaging
Ana-Maria Oros-Peusquens1,2, Melissa Schall1,2, Elene Iordanishvili1, and N. Jon Shah1,3,4,5

1Institute of Neuroscience and Medicine - 4, INM-4, Forschungszentrum Jülich, Jülich, Germany, 2Authors with equal contributions, Jülich, Germany, 3Institute of Neuroscience and Medicine - 11, INM-11, Forschungszentrum Jülich, Jülich, Germany, 4Jara - BRAIN -Translational Medicine, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany

A multiparametric, quantitative method was implemented in a population-based study of normal ageing - the 1000Brains study. Several parameters are derived with whole-brain, high-resolution imaging in TA=21min: these included water content, T1 and T2* relaxation times, their changes in the presence of saturation and calculated qMT parameters - MTR, bound proton fraction fboundand forward magnetization exchange rate (kex). Methodological precision is high allowing for detecting of ageing effects as illustrated by several parameters (T1, T2*, H2O, fbound) from data sets of 25 healthy subjects (mean age 53±16 years, from 27 to 80, 18 male). 

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Development of High Quality T1w and DTI Templates of the Older Adult Brain in a Common Space
Yingjuan Wu1, Abdur Raquib Ridwan1, Xiaoxiao Qi1, Shengwei Zhang1, David A. Bennett2, and Konstantinos Arfanakis1,2

1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University, Chicago, IL, United States

The demand for a multimodal MRI atlas of the older adult brain is increasing as large amounts of data are generated in studies of aging. The purpose of this work was to develop high quality T1-weighted (T1w) and diffusion tensor imaging (DTI) templates of the older adult brain in the same space, to allow future multimodal analyses. This was successfully accomplished through a proposed iterative multimodal template construction strategy. The new templates allowed higher spatial normalization accuracy of T1w and DTI data from older adults compared to other available templates. 

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Diffusion imaging of rat brain slices on a human clinical MRI scanner
Natalie Aw1,2, Alex Cerjanic2,3, Jennifer Mitchell2,4, Martha Gillette2,4, and Brad Sutton1,2,3

1Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 3Department of Bioengineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 4Department of Cell and Developmental Biology, University of Illinois at Urbana Champaign, Urbana, IL, United States

We demonstrate the feasibility of performing diffusion tensor imaging on a rat brain slice using a 3 T human clinical scanner and a rat coil.  Brain slices provide an important platform for performing mechanistic studies in neuroscience. We show that sufficient SNR is available for performing experiments to examine the diffusion properties of white matter through examining age-related differences in FA on 8-week-old and 1-year-old rats.