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| 0919 | Hyaluronan depletion improved intratumor pO2 and sensitized tumor to radiation therapy in pancreatic cancer model mouse. | |
| Yu Saida1, Tomohiro Seki2, Shun Kishimoto1, Yasunori Otowa1, Kota Yamashita1, Kazutoshi Yamamoto1, Nallathamby Devasahayam1, Jeffrey R. Brender1, and Murali C. Krishna1 | ||
1Radiation Biology Branch, National Cancer Institute, Bethesda, MD, United States, 2Laboratory of Pharmaceutics, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Saitama, Japan |
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PEGylated human hyaluronidase (PEGPH20) has been developed to enzymatically deplete tumor hyaluronan. The purpose of this study is to investigate physiologic and metabolic changes in pancreatic adenocarcinoma xenograft after PEGPH20 treatment by using multi-modal imaging and further determine the utility of PEGPH20 as radiosensitizer. PEGPH20 significantly increased intratumor pO2 and blood volume and decreased glycolytic flux assessed by EPRI, USPIO-MRI, and hyperpolarized 13C-MRI, respectively. PEGPH20 also enhanced treatment effect of radiotherapy in vivo. The results validated the utility of the imaging methods to non-invasively monitor changes in the tumor microenvironment and predicted the radiosensitizing effect upon hyaluronan depletion. |
| 0920 | Multimodal molecular imaging assessment of changes in tumor microenvironment in response to combination of Evofosfamide and GEM | |
| Yasunori Otowa1, Kota Yamashita1, Yu Saida1, Kazutoshi Yamamoto1, Jeffery R Brender1, Nallathamby Devasahayam1, Murali C. Krishna1, and Shun Kishimoto1 | ||
1National Cancer Institute, Bethesda, MD, United States |
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Combination of evofosfamide and chemotherapy suppress tumor growth than using these drugs alone. The purpose of this study is to detect physiologic changes in tumor-bearing mouse model in response to combination of evofosfamide and gemcitabine (GEM) using multi-modal imaging methods including DCE-MRI, blood volume imaging, and EPRI. Significantly increased perfusion, maintained blood volume, and maintained hypoxic fraction < 10 mmHg were observed after treatment with combination of evofosfamide and GEM. The results validate the utility of these imaging methods to non-invasively monitor changes in the tumor microenvironment after treatment. |
| 0921 | Iron oxide-based Enzyme Mimic Nanocomposite for Dual-Modality Imaging Guided Chem-phototherapy and Anti-tumor Immunity Against Breast Cancer | |
| Xiuhong Guan1, Jiali Cai2, Xiangyu Xiong1, Hong Liu2, Shihui Huang2, Sheng Wang2, Chuanqi Sun1, Yi Sun3, Tianjing Zhang4, Guoxi Xie1, and Zhiyong Wang2 | ||
1Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 2School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, China, 3Siemens Healthineers, Shanghai, China, 4Philips Healthcare, Guangzhou, China |
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Due to the high incidence and mortality, breast cancer has become the major cause of cancer death among female. This study reports a kind of functional nanocomposite, which was designed to comprises Pluronic P123 to self-assembly superparamagnetic iron oxide nanocrystals (SPIONs) and IR-780 dyes into one system, exhibiting NIR-II and MR dual-modal imaging guided chem-phototherapy and anti-tumor immunity against triple-negative breast cancer. |
| 0922 | Precision MRI (pMRI) of Liver Metastasis enabled by Protein MRI contrast agents | |
| Jenny Yang1, Mani Salarian2, Hua Yang3, Shanshan Tan4, Oluwatosin Y Ibhagui4, Jingjuan Qiao4, Zongxiang Gui4, and Hans E Grossniklaus3 | ||
1Chemistry, Georgia State University, Atlatna, GA, United States, 2Chemistry, Georgia State University, Atlanta, GA, United States, 3Emory University, Atlanta, GA, United States, 4Georgia State University, Atlanta, GA, United States |
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The liver is the most common organ for metastasis of various malignancies, especially for uveal melanoma (UM), colorectal cancer (CRC) and pancreatic ductal adenocarcinoma (PDAC). Precision medicine to chronic diseases, especially for liver cancer and metastasis, requires non-invasive precision diagnostics. Non-invasive precision imaging capable of early detection, staging and molecular subtyping/stratification of patients, is a major breakthrough. Rapid development and approval of precision medicine also requires precision imaging to evaluate drug efficacy at animal and patient levels. There is a pressing unmet medical need to develop MRI contrast agents and imaging methodologies with desired sensitivity and specificity . |
| 0923 | Imaging ascorbate-mediated oxidative stress in PDX models of pancreatic cancer | |
| Nathaniel Kim1, Arsen Mamakhantan1, Kristin Granlund1, Elisa de Stanchina2, Manish Shah3, Lewis Cantley4, and Kayvan R. Keshari1 | ||
1Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Antitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, United States, 4Meyer Cancer Center, Department of Medicine, Well Cornell Medical College, New York, NY, United States |
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We investigated hyperpolarized [1-13C] dehydroascorbic acid (HP DHA) as an imaging agent for probing oxidative stress in patient derived xenograft models (PDXs) of pancreatic cancer. By increasing the T1 via D2O solvation and increasing the dose administered via awake mouse injection, conversion of DHA to ascorbate was readily observed in KRAS and BRCA mutant cancers. HP DHA was then used to characterize oxidative stress in these PDX models and their biochemical mechanism of response to ascorbate therapy. Changes in DHA/ascorbate metabolism were measured in these tumor models, demonstrating a proof of concept method for assessing ascorbate therapy in pancreatic cancer. |
| 0924 | 3D Free-breathing Multitasking T1-T2 Mapping in Small Animals on a 3-Tesla System: A Preliminary Study on a Murine Model with Liver Metastasis | |
| Nan Wang1, Jingjuan Qiao2, Zhijun Wang3, Pei Han1,4, Hsu-Lei Lee1, Sen Ma1, Hui Han1, Zhaoyang Fan1, Anthony G. Christodoulou1, Ekihiro Seki3, Stephen Pandol5, Debiao Li1, Jenny Yang2, and Yibin Xie1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Chemistry Department, Georgia State University, Atlanta, GA, United States, 3Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 5Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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MRI is a promising tool for the non-invasive study of animal model, but continues to face technical challenges. In this work, a Multitasking T1-T2 mapping technique was proposed for mouse abdominal imaging on 3T, which achieved 3D coverage, motion-resolved acquisition, and simultaneous T1 T2 mapping within 10 minutes. The study was performed on a murine model with liver metastasis of colorectal cancer. Data at multiple time points after tumor injection were acquired with different contrast agent, Eovist and ProCA.collagen1. The results demonstrated that 10-min Multitasking technique produced improved images with clear tumor delineation compared to conventional MRI series (50 minutes). |
| 0925 | Deuterium metabolic imaging (DMI) of glucose highlights pancreatic cancers in two mice models | |
| Stefan Markovic1, Tangi Roussel2, Keren Sasson3, Dina Preise3, Lilach Agemi3, Avigdor Scherz3, and Lucio Frydman1 | ||
1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2Center for Magnetic Resonance in Biology and Medicine, Marseille, France, 3The Moross Integrated Cancer Research Center, Weizmann Institute of Science, Rehovot, Israel |
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Deuterium Metabolic Imaging (DMI) was used to follow metabolism in two pancreatic cancer mouse models, after tail-vein administration of 2H6,6’-glucose. Metabolic maps for the glucose and for its metabolic products 2H3,3’-lactate and 2H-water were measured over a time course of 2 h by 2H chemical shift imaging (CSI) at 15.2 T. Abdominal images exhibited sharp and specific lactate signals, which generated exclusively in the tumors. Thus, DMI may open valuable opportunities for non-invasively imaging pancreatic cancer –including its diagnosis and treatment. |
| 0926 | In-Vivo Cell Tracking of Murine Natural Killer Cells in Lymphoma by Fluorine-19 MRI | |
| Lawrence Lechuga1, Sean B Fain1,2,3,4, Christian M Capitini3,4,5, and Matthew H Forsberg5 | ||
1Medical Physics, University of Wisconsin, Madison, Madison, WI, United States, 2Radiology, University of Wisconsin, Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, United States, 4Carbone Cancer Center, University of Wisconsin, Madison, Madison, WI, United States, 5Pediatrics, University of Wisconsin, Madison, Madison, WI, United States |
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Fluorine-19 (19F) MRI can monitor various cell types in vivo for days to weeks after injection of 19F-labeled cells. To establish cell viability Green Fluorescent Protein (GFP+) murine natural killer (NK) cells were labeled ex vivo using red-fluorescent perfluoropolyether (PFPE-red) and delivered intratumorally into 3 lymphoma-bearing mice. Flow cytometry validated that the infused NK cells retain their 19F label out to 6 days post-injection (PI). Cells were then tracked and quantified via 1H/19F MRI out to 6 days PI. Quantification of the infused cells indicate 87% and 70% were detectible at days 0 and 6, respectively. |
| 0927 | Comparison of Tumour pH Environment and Glycolysis Measurements in a C6 Rat Model of Glioma | |
| Qi Qi1,2,3, Matthew Fox1,4, Robert Bartha2,5,6, Miranda Bellyou5, Lise Desjardins7, Lisa Hoffman1,2,8, Alex Li5, Andrew McClennan1,2, Ting Yim Lee1,2,3,5,6, and Jonathan D Thiessen1,2,3,6 | ||
1Lawson Imaging, Lawson Health Research Institute, London, ON, Canada, 2Medical Biophysics, Western University, London, ON, Canada, 3Molecular Imaging, Western University, London, ON, Canada, 4Physics and Astronomy, Western University, London, ON, Canada, 5Robart Research Institute, London, ON, Canada, 6Medical Imaging, Western University, London, ON, Canada, 7Lawson Health Research Institute, London, ON, Canada, 8Anatomy and Cell Biology, Western University, London, ON, Canada |
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There is an intrinsic relationship between tumour glycolysis and its pH environment. CEST MRI enables the detection of tumour pH in both intra- (pHi) and extracellular (pHe) spaces with AACID and acidoCEST methods. Kinetic analysis of dynamic FDG-PET can provide an accurate measurement of tumour glycolysis. This study demonstrates the capability of simultaneous measurements of pHi and pHe using CEST MRI, providing a more complete picture of the tumour pH environment, and explores the intrinsic relationship between tumour glycolysis and its pH environment. |
| 0928 | MRS based biomarkers of IDH1 mutant glioma response to the BAY-1436032 IDH inhibitor | |
| Donghyun Hong1, Georgios Batsios1, Pavithra Viswanath1, Anne Marie Gillespie1, Russell O Pieper2,3, Joseph Costello2, and Sabrina M Ronen 1,3 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 3Brain Tumor Research Center, University of California San Francisco, San Francisco, CA, United States |
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Mutant IDH1 inhibitor treatment is currently in clinical trials for glioma patients. However, to date, treatment does not result in tumor shrinkage. Therefore, in vivo biomarkers are needed to assess early therapeutic response. Here we treated mutant IDH1-expressing cells with the emerging inhibitor BAY-1436032. Using 1H MRS we found a significant decrease in 2-hydroxyglutarate that was accompanied by an increase in glutamate and phosphocholine, and using 13C MRS we detected a significant increase in glutamate produced from hyperpolarized [1-13C]α-ketoglutarate. |
| 0929 | 31P MRSI in tumor-bearing mice at 9.4T | |
| Vanessa L. Franke1, Justyna Platek1, Philip S. Boyd1, Stephanie Laier2, Karin Mueller-Decker2, Andrey Glinka3, Mark E. Ladd1, Steffen Goerke1, Peter Bachert1, and Andreas Korzowski1 | ||
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Center for Preclinical Research, Core Facility Tumor Models, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Division of Molecular Embryology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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31P MRSI allows for the non-invasive investigation of energy metabolism in vivo and is therewith of interest for research on novel therapies for cancer. The purpose of this study was to investigate suitable acquisition strategies for 31P MRSI in tumor-bearing mice at B0=9.4T in order to monitor in future studies effects of novel therapies affecting energy metabolism and pH values. 31P MRSI datasets with a spatial resolution of (2.5x2.5x7.5) mm³ obtained in 50 minutes enabled the quantification of signals in diseased tissue, while maintaining acceptable separation to healthy tissue. |
| 0930 | MR elastography reveals a marked increase in breast cancer viscoelasticity in vivo following hyaluronan degradation by PEGPH20 | |
| Emma L. Reeves1, Jin Li1,2, Konstantinos Zormpas-Petridis1, Jessica K. R. Boult1, James Sullivan1,3, Craig Cummings1, Barbara Blouw4, David Kang4, Ralph Sinkus5, Yann Jamin1, Jeffrey C. Bamber1, and Simon P. Robinson1 | ||
1Radiotherapy & Imaging, Institute of Cancer Research, London, United Kingdom, 2Institutes of Brain Science, Fudan University, Shanghai, China, 3Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 4Halozyme Therapeutics, San Diego, CA, United States, 5Division of Imaging Sciences and Biomedical Engineering, King's Health Partners, St Thomas's Hospital, London, United Kingdom |
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We hypothesised that hyaluronan (HA) degradation by PEGPH20 may alter tumour viscoelasticity measured by MR elastography (MRE). MRE was performed before and after PEGPH20 in three orthotopic breast tumour models (4T1, 4T1/HAS3 and MDA-MB-231 LM2-4). Viscoelastic properties did not change following PEGPH20 in 4T1 and 4T1/HAS3 tumours. However, a dramatic PEGPH20-induced increase in tumour viscoelasticity was seen in MDA-MB-231 LM2-4 tumours, likely the result of collagen network rearrangement and not HA degradation alone. Although MRE is unlikely to provide a robust biomarker of PEGPH20 response, these data clearly demonstrate that MRE-derived biomarkers can inform on increased tumour stiffness in vivo. |
| 0931 | Metabolomic Characterization of renal cell carcinoma patient-derived xenografts and derived Tissue Slice Cultures | |
| Deepti Upadhyay1, Jinny Sun1, Joao Piraquive Agudelo1, Hongjuan Zhao2, Rosalie Nolley2, Robert Bok1, James D. Brooks2, Donna M. Peehl1, John Kurhanewicz1, and Renuka Sriram1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Urology, Stanford University, Stanford, CA, United States |
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NMR based stable isotope resolved metabolomics was used for the metabolic characterization of renal cell carcinoma (RCC) patient-derived xenografts (PDXs) and their derived tissue slice cultures (TSCs). Targeted metabolomics and [U-13C] glucose-labeling studies indicate metabolic heterogeneity among PDXs of various pathologic and clinical stages. Both PDXs and TSCs exhibit high glycolytic rate and low TCA activity characteristic of RCC. However, there is variability in glycolytic rate and TCA activity among different PDXs and their corresponding TSCs. |
| 0932 | Glioma Genetic Diagnosis Software for Detection of IDH and TERTp Mutations based on 1H MR Spectroscopy and Mass Spectrometry | |
| Abdullah Bas1, Banu Sacli-Bilmez1, Gokce Hale Hatay1, Alpay Ozcan2,3, Cansu Levi4, Ayca Ersen Danyeli3,5, Ozge Can3,6, Cengiz Yakicier3,7, M.Necmettin Pamir3,8, Koray Ozduman3,8, Alp Dincer3,9, and Esin Ozturk-Isik1,3 | ||
1Institute of Biomedical Engineering, Bogazici University, İstanbul, Turkey, 2Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 3Center for Neuroradiological Applications and Reseach, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Medical Biochemistry, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Department of Medical Pathology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Department of Medical Engineering, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 8Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 9Department of Radiology, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey |
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Glioma Genetic Diagnosis Software, a clinical decision support tool for non-invasive detection of isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase promoter (TERTp) mutations in gliomas using proton magnetic resonance spectroscopy (1H-MRS) and liquid chromatography-mass spectrometry (LC-MS/MS), was developed in this study. The machine-learning models were trained with the data of 237 gliomas. IDH mutation was identified with 87.04% and of 92.70% accuracies, and TERTp mutation in IDH wildtype gliomas was identified with 87.53% and 85.96% accuracies, using 1H-MRS and MS, respectively. The software provides data visualization and enables the users to train their own models. |
| 0933 | Tumour vascular response to the FGFR inhibitor derazantinib assessed using susceptibility-contrast MRI with ferumoxytol | |
| Jessica K.R. Boult1, Mahmoud El Shemerly2, Felix Bachmann2, Laurenz Kellenberger2, Heidi Lane2, Paul McSheehy2, and Simon P. Robinson1 | ||
1The Institute of Cancer Research, Sutton, United Kingdom, 2Basilea Pharmaceutica International Ltd, Basel 4005, Switzerland |
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Derazantinib (DZB), a FGFR inhibitor, has displayed potential anti-angiogenic effects in biochemical assays. In this study, we used in vitro and in vivo assays to explore this activity. Proliferation of human umbilical vein endothelial cells, their pVEGFR expression and downstream signalling, and vascular permeability in mouse skin are dose-dependently supressed by DZB. Susceptibility-contrast MRI using ferumoxytol demonstrated a reduction in fractional blood volume in subcutaneous colorectal cancer xenografts treated with DZB for 48h. This anti-angiogenic effect may be a relevant component of the activity of DZB in tumours bearing FGFR aberrations and may facilitate clinical activity against other solid tumours. |
| 0934 | Evaluating the utility of DCE-MRI in differentiating brain tumours using the extended Tofts and the Shutter Speed Model | |
| Sourav Bhaduri1, Samantha Mills2, Mark Radon2, Michael Jenkinson3, and Harish Poptani1 | ||
1Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom, 2Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom, 3Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom |
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We demonstrate the potential utility of DCE-MRI derived pharmacokinetic parameters in differentiating brain tumour types using the extended Tofts and the Shutter Speed Model. Results show an increasing pattern in Ktrans, ve, vp estimates in GBM and metastasis compared to primary central nervous system lymphoma (PCNSL). The τi estimate in GBM was the lowest, while it was highest in PCNSL. |
| 0935 | Estimation of capillary level input function for abbreviated breast Dynamic Contrast-Enhanced MRI using deep learning approach | |
| Jonghyun Bae1,2,3, Zhengnan Huang1,2,3, Florian Knoll2,3, Krzysztof Geras2,3, Terlika Sood2,3, Laura Heacock2,3, Linda Moy2,3, Li Feng4, and Sungheon Gene Kim5 | ||
1NYU School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, New York, NY, United States, 3Center for Biomedical Imaging, NYU, New York, NY, United States, 4Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Weill Cornell Medicine, New York, NY, United States |
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This study proposes a deep learning approach to estimate the capillary level input function(CIF) for contrast kinetic model analysis of dynamic contrast enhanced (DCE)-MRI data. Estimation of the CIF for each voxel eliminates the need for the arterial input function and allows automatic end-to-end analysis. We hypothesize that the CIF serves as a more accurate input function that could yield accurate kinetic parameter estimation, which can be used for the diagnosis between the malignant and the benign cancer in the clinical setting. This hypothesis has been tested with a numerical simulation and breast MRI data from an abbreviated exam. |
| 0936 | Commonality and complexity of systemic metabolic dysregulation caused by cancer and cancer-induced cachexia | |
| Santosh Kumar Bharti1, Raj Kumar Sharma1, Paul T Winnard1, Marie-France Penet1, and Zaver M. Bhujwalla1,2,3 | ||
1Div. of Cancer Imaging Research, The Russell H. Morgan Dept 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 |
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In addition to anorexia, fat and muscle tissue wasting, psychological distress, lower tolerance to chemotherapy, and a poor quality of life, cachexia causes profound metabolic dysregulation in cancer patients that affects multiple organs. Here, for the first time, we have characterized metabolic changes in the spleen, liver, pancreas, lung, heart and kidney induced by pancreatic cancer xenografts to expand our understanding of the metabolic dysregulation caused by cachexia. These results highlight the systemic changes in metabolism that occur with cancer and with cancer induced cachexia that may lead to the development of early biomarkers as well to metabolic treatment strategies. |
| 0937 | Wavelet Oversampling for Imbalance Childhood Brain Tumour Classification | |
| Dadi Zhao1,2, James T. Grist1,2, Heather E.L. Rose1,2, Yu Sun1,2, and Andrew C. Peet1,2 | ||
1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 2Department of Oncology, Birmingham Children's Hospital, Birmingham, United Kingdom |
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Classifying imbalance childhood brain tumours through 1H-MRS metabolite profiles remains a challenging problem. We presented an alternative oversampling method, wavelet oversampling (WvOS). Different from the classic Synthetic Minority Oversampling TEchnique that oversamples the metabolite profiles, WvOS used the wavelet processed 1H-MRS as the oversampled 1H-MRS, followed by quantification and classification. As the result, WvOS can provide dramatically better classification performance than non-oversampled or classic oversampled metabolite profiles. An optimal balanced classification accuracy is achieved as 96% and 72% from 84% and 52% for the 1.5T and 3T cohorts of childhood brain tumours, respectively. |
| 0938 | Tumorous Tissue Characterization in Diffuse Glioma Based on 1H-MRS Data Employing 1D Convolutional Neural Networks | |
| Farzad Alizadeh1,2, Anahita Fathi Kazerooni3,4, Hanieh Bahrampour5, Hanieh Mobarak Salari1,2, and Hamidreza Saligheh Rad1,2 | ||
1Department of Medical Physics and Biomedical Engineering, Tehran university of Medical Science, Tehran, Iran (Islamic Republic of), 2Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran, Iran (Islamic Republic of), 3Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States, 4Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 5Biomaterials Engineering, School of Metallurgy and Materials Engineering, Iran University of Science and Technology, Tehran, Iran (Islamic Republic of) |
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Characterization of intra-tumour subregions in diffuse gliomas helps to guide biopsy procedure and to determine extent of tumour infiltration in the brain tissues. Conventional MRI cannot accurately differentiate intra-tumour subregions, including the most active tumour component and infiltrated edema (IE) from each other and from the normal tissue (NT). In this work, we explore the potential of differentiation of brain tumorous tissue subregions (tumour core, infiltrated edema, normal tissue, bone, and non-brain areas) based on 1H-MRS data using artificial intelligence (AI) techniques. |
| 0939 | Radiomics Based Classification of Ependymoma and High Grade Glioma Using Multimodal MRI | |
| Apoorva Safai1, Sumeet Shinde1, Manali Jadhav1, Tanay Chougule1, Abhilasha Indoria2, Manoj Kumar2, Vani Santosh2, Shumyla Jabeen2, Manish Beniwal2, Subhash Konar2, Jitender Saini2, and Madhura Ingalhalikar1 | ||
1Symbiosis International University, Pune, India, 2National Institute of Mental Health and Neurosciences, Bangalore, India |
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Adult Supratentorial Extraventricular Ependymoma (STEE) are rare neoplasms that are often misdiagnosed as high-grade gliomas (HGG) due to their similar radiological manifestation on MRI. However, the pathogenesis and treatment plan of ependymoma differs significantly from gliomas, and hence an early and accurate diagnosis is crucial. We propose a novel machine learning based diagnostic model that can accurately distinguish adult STEE from HGG subtypes using quantitative radiomic signatures from a multi-model MRI data. First order and texture based radiomic features, particularly from FLAIR, T2 and ADC, can capture intricate pathological variations and aid in accurate and differential diagnosis of STEE tumors. |
| 0940 | Creating a radiomic signature for H3K27M mutation in midline glioma on multimodal MRI | |
| Manali Balasaheb Jadhav1, Richa Singh Chauhan2, Priyanka Tupe Waghmare3, Archit Rajan4, Abhilasha Indoria2, Jitender Saini5, Vani Santosh6, Madhura Ingalhalikar4, and Subhas Konar7 | ||
1Symbiosis Center for Medical Image Analysis, Pune, India, 2Radiology, National Institute of Mental Health and Neuroscieces, Bengaluru, India, 3Symbiosis Institute on Technology, Pune, India, 4Symbiosis Centre for Medical Image Analysis, Pune, India, 5Radiology, National Institute of Mental Health and Neuroscieces, Pune, India, 6Neuropathology, National Institute of Mental Health and Neuroscieces, Bengaluru, India, 7Neurosurgery, National Institute of Mental Health and Neuroscieces, Bengaluru, India |
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H3K27M mutation in diffuse midline glioma is an independent predictor of overall survival however has a very poor prognosis. Identification of the mutation using conventional radiological analysis is complicated while the deep location of the tumors in the brain makes biopsy challenging with substantial risk of morbidity. To alleviate these issues, our work employs radiomics based machine learning framework to predict the H3K27M mutation from multi-modal MRI on 46 subjects. Results revealed 91% cross validation accuracy illustrating its future potential in clinical use. |
| 0941 | Using Variable Flip Angle (VFA) and Modified Look Locker Inversion Recovery (MOLLI) T1 Mapping in Clinical OE-MRI | |
| Emma Bluemke1, Ambre Bertrand1, Kwun-Ye Chu2,3, Nigar Syed2, Andrew Murchison3,4, Tessa Greenhalgh3,5, Brian Burns6, Martin Craig7, Nia Taylor3, Ketan Shah2,3, Fergus Gleeson2,3, and Daniel Bulte1 | ||
1University of Oxford, Oxford, United Kingdom, 2MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom, 3Radiotherapy Department, Oxford University Hospitals NHS, Oxford, United Kingdom, 4Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom, 5University Hospital Southampton NHS FT, Southhampton, United Kingdom, 6GE Healthcare, Menlo Park, CA, United States, 7University of Nottingham, Nottingham, United Kingdom |
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As clinical studies adopt Oxygen-Enhanced MRI to assess its feasibility in human tumours, it is important for researchers to report any practical complications experienced. We report our practical experience with using both MOLLI and VFA T1 mapping for a recently completed OE-MRI clinical oncology study with the aim that sharing this is helpful to researchers planning to use OE-MRI in clinical oncology. Specifically, we report 4 elements: (1) difference in estimated T1 from each method used (MOLLI and VFA), (2) standard deviation within tumour ROIs, (3) OE-MRI response resulting from either method, and (4) artefacts and practical difficulties encountered. |
| 0942 | Assessment the Preponderant Diagnostic Performances of Oligometastatic Prostate Cancer Using DCE-MRI of Tofts Model | |
| SHUANG MENG1, Ailian Liu1, Lihua Chen1, Qinhe Zhang1, Qingwei Song1, and Yunsong Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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It remains a challenge to diagnose the oligometastatic prostate cancer (PCa) due to the ambiguous definition of oligometastatic PCa. Previous studies had shown that dynamic contrast enhanced (DCE) - MRI imaging could be used to assess tumor aggressiveness. This study indicated that transfer constant (Ktrans) had the potential to assess the aggressiveness of PCa. And Ktrans combined with clinical characteristics (such as age and prostate specific antigen) had the higher diagnostic efficiency for oligometastatic and widely metastasis PCa. |
| 0943 | Evaluating the cytokeratin 19 (CK-19) status via neural network model established by the SWI-derived radiomics features | |
| Zhijun Geng1, Yunfei Zhang2, Chuanmiao Xie1, and Yongming Dai2 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Susceptibility Weighted Imaging (SWI) has shown tremendous clinical significance for identifying the hepatic micro-structural abnormalities such as micro-bleeding, vascularity, nodule and so forth. Recent studies concluded that cytokeratin 19 (CK-19) is an important marker for prognostic prediction of hepatocellular carcinoma (HCC). We hypothesized that the neural network model can be established by means of extracting high throughput radiomics features from SWI images for noninvasively evaluating the CK-19 status with high accuracy. The results demonstrated that such deep learning based neural network model yielded excellent diagnostic performance for predicting the CK-19 status. |
| 0944 | Improved gastric T2WI imaging by an TSE corrected HASTE sequence: a comparation study with conventional HASTE, TSE and BLADE-TSE sequences on 3T | |
| Xiaosheng Xu1, Qinglei Shi2, Weishuai Wang3, Jia Wei4, Li Yang4, Qian Xu4, and Gaofeng Shi4 | ||
1The Fourth Hospital of Hebei Medical University, Shijiazhuang, China, 2MR Scientific Marketing，Siemens Healthcare, Beijing, China, 3MR Scientific Marketing，Siemens Healthcare, JINAN, China, 4The Fourth Hospital of Hebei Medical University, shijiazhuang, China |
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In this study, we evaluated the scan time and image quality of a serious of gastric T2WI imaging, including conventional TSE with cartesian acquisition (TSE), BLADE-TSE, conventional HASTE sequence and a new TSE corrected HASTE sequence (TSE-HASTE). We found that the HASTE sequences can provide comparable image quality to TSE sequences, while is insensitive to motion and susceptibility artifacts. For patients with poor respiratory movement, HASTE sequence may be used as a good replacement to the TSE sequences, and TSE-HASTE sequence may provide a better image contrast compared to conventional HASTE. |
| 0945 | Deep learning prediction for clear cell renal carcinoma cancer compared with human and radiomics analysis | |
| Junyu Guo1, Lauren Hinojosa1, Yin Xi1, Keith Husley1, and Ivan Pedrosa1 | ||
1Radiology, UT southwestern medical center, Dallas, TX, United States |
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Clear cell renal carcinoma cancer (ccRCC) is the most aggressive subtype among small renal masses. ccRCC identification can help in decision making between active surveillance and definitive intervention. Recently, a clear cell likelihood score (ccLS) using subjective interpretation of multiparametric MRI by radiologists was proposed. In this study, we investigate whether radiomics and deep learning (DL) technique can facilitate the prediction of ccRCC using T2-weighted images only. We compared the results of two different approaches, radiomics and DL, with the reported ccLS performance. Our results demonstrate that both radiomics and deep learning may provide useful information for identification of ccRCC. |
| 0946 | The value of preoperative prediction of ki67 and P53 expression in DCE-MRI texture analysis of rectal cancer | |
| Yuhui Liu1, Ailian Liu1, and Mingxiao Wang1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China |
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This study aims to analyze the intrinsic relationship between imaging indicators and tumor biological behavior, and improve the clinical value of DCE-MRI.The correlation between DCE-MRI quantitative parameter values (Ktrans, Ve, Kep) and molecular biomarkers (Ki67,P53) was compared and explored in patients with rectal cancer.
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| 0947 | Diagnostic performance of machine learning-based MRI for posterior fossa tumors: a meta-analysis | |
| Chen Chen1, Fabao Gao1, and Xiaoyue Zhou2 | ||
1Department of Radiology, West China Hospital, Chengdu, China, 2MR Collaboration, Siemens Healthineers Ltd., Shanghai, China |
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Because of variations in severity and treatment methods of pilocytic astrocytoma, medulloblastoma, and ependymoma, accurate and specific diagnoses of the tumors are critical. Non-invasive diagnosis of posterior fossa tumors based on machine learning-based magnetic resonance imaging are being reported. However, conventional MRI, diffusion MRI, MR perfusion, and magnetic resonance spectroscopy have variable diagnostic values. We present here a meta-analysis of all the relevant published studies and conducted a large sample-size assessment concerning the diagnostic performance and potential covariates that could influence the diagnostic performance of machine learning. |
| 0948 | Automatic segmentation of glioma based on MRI K-space data | |
| Yikang Li1,2,3, Zhan li Hu1,2,3, Sen Jia1,2,3, Wenjing Xu4, Zongyang Li1,2,3, Hairong Zheng1,2,3, Xin Liu1,2,3, and Na Zhang1,2,3 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 3CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 4Faculty of Information Technology, Beijing University of Technology, Beijng, China |
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Nowadays, Magnetic Resonance Imaging (MRI) plays a pivotal role in gliomas diagnosis, analysis, and surgery planning. Nevertheless, the accuracy of MRI segmentation is enormously restricted by the quality of images. Therefore, we demonstrate a new method that can directly make segmentations from K space data. And the results show that our method achieves the state of the art. |
| 0949 | ADC Decreases in Solid Tumors Following Monotherapy With PEGylated Recombinant Human Hyaluronidase: Results From Early-Phase Clinical Trials | |
| Andres Mauricio Arias-Lorza1 and Natarajan Raghunand1 | ||
1Moffitt Cancer Center, Tampa, FL, United States |
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In early-phase clinical trials, we observed a general decrease in tumor ADC following administration of PEGylated Recombinant Human Hyaluronidase PH20 (PEGPH20) as monotherapy. This decrease was related with reduction of tumor hyaluronan measured in biopsy samples. Reduction in ADC is suggestive of a decrease in tumor water content following hyaluronan depletion by PEGPH20. |
| 0950 | Differential diagnosis of Endometrial carcinoma and polyps using Amide proton transfer-weighted imaging and permeability analysis | |
| Ye Li1, Xulun Lu1, Shifeng Tian1, Jiazheng Wang2, Zhiwei Shen2, Qingwei Song1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijin, China |
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The accurate differential diagnosis of endometrial carcinoma and endometrial polyps always met many challenges. In this study, we evaluated the capability of differentiation of endometrial carcinoma from endometrial polyps with APT signal intensity (SI) and permeability parameters. The diagnostic efficiency is the highest using APT combined with Kep. APT and permeability parameters are potentially a promising and valuable method in differentiation of endometrial carcinoma from endometrial polyps. |
| 0951 | Preoperative discrimination between the low-grade glioma and high-grade glioma and early exploration of metastatic margin with APT imaging at 7T | |
| Yifan Yuan1, Qi Yue1, Xiang Zou1, Jiajun Cai1, Ying-Hua Chu2, Yi-Cheng Hsu2, Patrick Alexander Liebig3, Hui Zhang4, He Wang4, Liang Chen1, and Ying Mao1 | ||
1Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China, 2MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China |
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Preoperative assessment of histological grades and possible margin of glioma are challenges to neurosurgeons, which may also make a huge difference in therapeutic strategies. In this study, we aim to establish a grade-discrimination criterion via APT and explore the possible metastatic margin of diffuse glioma at 7T. Eleven patients underwent structural imaging and APT CEST imaging. Results of the APT were merged with the T1 image, which showed a promising indication of preoperative histological grades. Meanwhile, with the early exploration of metastatic margin, the APT CEST at 7 Tesla may significantly facilitate the surgical strategy and surgical excision extension. |
| 0952 | The Effect of Cramer-Rao Lower Bound Thresholds on Classification of IDH and TERTp Mutation Status in Gliomas using 1H-MRS | |
| Abdullah Bas1, Banu Sacli-Bilmez1, Ayca Ersen Danyeli2,3, Cengiz Yakicier3,4, M.Necmettin Pamir3,5, Koray Ozduman3,5, Alp Dincer3,6, and Esin Ozturk-Isik1,3 | ||
1Institute of Biomedical Engineering, Bogazici University, İstanbul, Turkey, 2Department of Medical Pathology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Center for Neuroradiological Applications and Reseach, Acibadem 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, 6Department of Radiology, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey |
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Cramer-Rao lower bound (CRLB) is commonly employed as an exclusion criterion for bad quality MR spectra. This study aims to investigate the CRLB differences of the metabolites between isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase promoter (TERTp) mutational subgroups in gliomas, and to assess the effects of CRLB threshold on their classifications. GPC, PCh, 2HG, and Ins were more reliably detected in IDH-mutant gliomas. Ins had higher CRLB values in TERTp-mutant than TERTp-wildtype gliomas. Different CRLB thresholds followed by zero-imputing had a small impact on the classification accuracies, but affected the choice of best features and classification algorithms. |
| 0953 | Correlation between Amide Proton Transfer Imaging and Pathological Staging of Rectal Cancer | |
| Honglei Hu1, Xixi Zhao1, Qiming Wei2, Chuyao Chen1, Yuewei Huang1, Yingjie Mei3, and Yikai Xu1 | ||
1Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Intervention, Traditional Chinese Medicine Hospital of Guangdong Province, Guangzhou, China, 3Philips Healthcare, Guangzhou, China |
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Rectal cancer is the third deadliest cancer in the world. The choice of its clinical treatment plan is closely related to clinical staging, which mainly depends on preoperative MR staging. Clinical work experience has found that the MR staging obtained by the existing MR technology is often less precise and often higher than the postoperative pathological staging. In order to solve this problem, our research has found that Amide Proton Transfer(ATP) imaging has a strong correlation with postoperative pathological staging, which can help clinicians to make a more accurate diagnosis of rectal cancer staging before surgery. |
| 0954 | Correlations of Single Voxel 1H-MRS Findings with Tumor Biology in Meningiomas. | |
| Banu Sacli-Bilmez1, Ayca Ersen Danyeli2,3, Murat Şakir Ekşi4, Kübra Tan5, Ozge Can6, Cengiz Yakicier7, M.Necmettin Pamir3,4, Alp Dincer3,8, Koray Özduman3,4, and Esin Ozturk-Isik1 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Medical Pathology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Center for Neuroradiological Applications and Reseach, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Health Institutes of Turkey, Istanbul, Turkey, 6Department of Medical Engineering, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 8Department of Radiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey |
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Meningiomas are a heterogeneous group of tumors that arise at the pachymeninges and tend to invade surrounding bone and rarely the brain. In this work, we studied the single-voxel 1H-MRS correlates of aggressive biology (measured by WHO grade), peritumoral edema, brain invasion, bone invasion, skull base location in meningiomas. Higher Glyc and Ins+Glyc levels were observed in aggressive (WHO grade II or III) meningiomas. Higher Glu, GPC, and Glx levels were observed in hyperostotic tumors. The classification accuracies were 81.28% for tumor grade, 73.18% for hyperostosis detection, and 76.88% for skull base localization of meningiomas. |
| 0955 | Early detection of radiation-induced injury and prediction of cognitive deficit by MRS metabolites in radiotherapy of low grade glioma | |
| Zahra Alirezaei1,2, Mohammadreza Nazemzadeh3, Masoud Hasanpour3, Alireza Amouheidari4, and Sajad Iraji3 | ||
1Isfahan University of Medical Sciences, Isfahan, Iran (Islamic Republic of), 2Bushehr University of Medical Sciences, Bushehr, Iran (Islamic Republic of), 3Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 4Milad Hospital, Isfahan, Iran (Islamic Republic of) |
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To compare the sensitivity of alteration in MRS metabolites and MoCA and ACE-R cognitive tests in early and early-delayed post-radiation phases in detection of radiation-induced injury of Low Grade Glioam patients. The MRS metabolites, the ACE-R and MoCA, and the dosimetric parameters in the corpus callosum were analyzed during RT and up to 6-month post-RT for 10 LGG patients. NAA/Cr and Cho/Cr declined significantly at least 3 months before detecting alterations in ACE and MoCA cognitive tests. Therefore, the MRS-based biomarkers may be more sensitive than the state of the art cognitive test tools in prediction of post-radiation cognitive impairments. |
| 0956 | 31P spectral profiles in brain tissues of volunteers and glioma patients at 7T | |
| Andreas Korzowski1, Nina Weckesser2, Vanessa L Franke1, Heinz-Peter Schlemmer2, Mark E Ladd1, Peter Bachert1, and Daniel Paech2 | ||
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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The low spatial resolution of 31P MRSI of the human brain leads to a weighted mixture of specific spectral profiles from different tissue types in localized 31P spectra of individual voxels. Application of high-resolution 31P MRSI to volunteers and glioma patients at ultra-high B0 yields a possibility to approach brain tissue-specific profiles, which could aid interpretation of observations from 31P MRSI. The presented high-quality 31P brain spectra from individual tissue types obtained at B0 = 7T illustrate clear differences not only between healthy and tumor tissues, but also between different compartments within diseased tissue, i.e. contrast-enhanced regions and edema. |
| 0957 | 1D-CNN for the Detection of IDH and TERTp Mutations in Diffuse Gliomas using Proton Magnetic Resonance Spectroscopy | |
| Abdullah BAS1, Banu Sacli-Bilmez1, Ayca Ersen Danyeli2,3, Cengiz Yakicier3,4, M.Necmettin Pamir3,5, Koray Ozduman3,5, Alp Dincer3,6, and Esin Ozturk-Isik1,3 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Medical Pathology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Center for Neuroradiological Applications and Reseach, Acibadem 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, 6Department of Radiology, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey |
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Isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase promoter (TERTp) mutations affect the clinical behavior and survival rate of diffuse gliomas. The detection of these mutations preoperatively is very critical for treatment planning. In this study, three different one dimensional convolutional neural network (1D-CNN) models were designed to identify IDH mutant (IDH-mut), TERTp mutant (TERTp-mut), and TERTp-only (IDH-wild type and TERTp-mut) gliomas based on proton magnetic-resonance spectroscopy (1H-MRS). The 1D-CNN models could identify IDH-mut, TERTp-mut, and TERTp-only gliomas with 94.11%, 76.92%, and 82.05% accuracies, respectively. This study showed the potential of deep-learning in predicting especially IDH-mutations in gliomas using 1H-MRS data. |
| 0958 | Metabolic profiles of glioma grade and IDH mutation status using high resolution 7T 3D-FID-MRSI: Preliminary results | |
| Cornelius Cadrien1,2, Sukrit Sharma1, Philipp Lazen1, Julia Furtner3, Alexandra Lipka1,4, Eva Hečková1, Lukas Hingerl1, Stanislav Motyka1, Stephan Gruber1, Bernhard Strasser1, Barbara Kiesel2, Mario Mischkulnig2, Matthias Preusser5, Thomas Roetzer6, Adelheid Wöhrer6, Michael Weber7, Christian Dorfer2, Karl Rössler2, Siegfried Trattnig1,4, Wolfgang Bogner1, Georg Widhalm2, and Gilbert Hangel1,2 | ||
1High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 3Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 5Division of Oncology, Department of Inner Medicine I, Medical University of Vienna, Vienna, Austria, 6Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria, 7Division of Medical Imaging and Nuclear Medicine, Medical University of Vienna, Vienna, Austria |
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We measured 38 HGG and LGG patients with a 15 min MR spectroscopic imaging sequence with an isotropic voxel size of 3.4 mm, covering a 64×64×39 matrix. After post-processing the measured spectra were analyzed statistically. Clinically segmented tumor regions showed statistically significant differences in metabolic ratios compared to normal-appearing white matter. Further analysis of metabolic hotspots with respect to tumor grade and IDH mutation status yielded no significant differences beyond myo-Inositol decreasing with tumor grade. |
| 1192 | Microfluidic preparation of liposomal hydrogel microbeads containing CT agents (CT-lipobeads) to longitudinally monitor pH using CEST MRI | |
| Peng Xiao1, Jianpan Huang1, Xiongqi Han1, Jacinth Wing-Sum Cheu2, Joseph Lai1, Lok Hin Law1, Carmen Chak-Lui Wong2,3, and Kannie Wai Yan Chan1,4,5 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong, 3State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, Hong Kong, 4City University of Hong Kong Shenzhen Research Institute, Shen Zhen, China, 5Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Iodinated CT contrast agents(CA) had been investigated as CEST contrast agent while high dose of CA and quick clearance could limit their potential for monitoring pH longitudinally. Here, we aim to introduce CT-lipobeads to address this issue. The CT-lipobeads showed 10% CEST contrast and good pH dependency at pH 6.0-7.0, which is sensitive to distinguish hypoxic medium from normoxic medium. Moreover, CT-lipobeads generated CEST contrast of 9% in the subcutaneous compartment, and contrast remained constant over a week. These findings demonstrated a robust approach for fabrication of CT-lipobeads with decent CEST contrast for longitudinal pH imaging. |
| 1193 | Linear combination SSFP for multi-site chemical shift imaging: Applications to Deuterium Metabolic Imaging | |
| Dana C. Peters1, Stefan Markovic2, Qingjia Bao2, Dina Preise2, Keren Sasson2, Lilach Agemy2, Avigdor Scherz2, and Lucio Frydman2 | ||
1Radiology and Biomed Eng., Yale University, New Haven, CT, United States, 2Weizmann Institute of Science, Rehovot, Israel |
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Deuterium metabolic imaging (DMI) is a new method to map abnormal metabolism of tumors. bSSFP might provide high SNR for DMI, due to the high T2/T1 ratios of the injected deuterated glucose, and the lactate, which arises from abnormal metabolism. We developed a linear-combination balanced SSFP method for spectrally resolving glucose, lactate and water, using predicted signal evolutions for different bSSFP phase-cyclings. Our method was able to generate images of the individual compounds in phantoms and in vivo. |
| 1194 | Multiparametric MRI of Renal Tissue Shows Dietary Differences Between Survivors and Non-survivors in Sepsis-associated Acute Kidney Injury | |
| Wan-Ting Zhao1,2,3, Karl-Heinz Herrmann1, Martin Krämer1, Renat Sibgatulin1, Ali Nahardani1,2, Jürgen R. Reichenbach1, and Verena Hoerr1,2,4 | ||
1Medical Physics Group,Institute of Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany, 2Center for Sepsis Control and Care, University Hospital Jena, Jena, Germany, 3Institute of Medical Microbiology, University Hospital Jena, Jena, Germany, 4Clinic for Radiology, University Hospital Muenster, Muenster, Germany |
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Acute kidney injury (AKI) is a highly lethal complication of sepsis that is frequently asymptomatic with versatile physiological alterations. As diet has gain recognition in the regulation of immune response, we aim to investigate the dietary impact on the course and outcome of sepsis by multiparametric MRI using perfusion, as well as T1 and T2 relaxation time. Cortical T1 and T2 relaxation time was found to differ significantly in animals having received protein-rich diet compared to healthy controls. By combining the cortical T2 relaxation time with perfusion, additional information could be gained, which allowed to distinguish between non-survivors and survivors. |
| 1195 | The sensitivity of amide, amine, creatine and guanidinium CEST in detecting pH at high MRI field | |
| Lin Chen1,2 and Jiadi Xu1,2 | ||
1Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States |
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We compared the sensitivity of several chemical exchange saturation transfer (CEST) contrasts in detecting altered pH at 11.7 T MRI. Studies with egg white phantom revealed that amide and guanidium CEST contrasts in protein are suitable for pH mapping at the physiological relevant range (6.5-7.5), while amineCEST works well for pH lower than 6.5. Hypercapnia (20%) study in mouse brain indicated that creatineCEST showed both higher pH sensitivity and signal intensity compared with amide and guanidium CEST at the physiological pH range and is more suitable for in vivo pH studies at high field. |
| 1196 | Novel phosphorous-based polymer for 31P-magnetic resonance imaging | |
| Natalia Ziółkowska1,2, Ladislav Androvič3, Lucie Woldřichová3, Martin Vít1,4, David Červený1,5, Olga Šebestová Janoušková3, Richard Laga3, and Daniel Jirák1,2 | ||
1Site of Computed Tomography, Magnetic Resonance Imaging, and Clinical and Experimental Spectroscopy, Institute for Clinical and Experimental Medicine, Prague, Czech Republic, 2Institute of Biophysics and Informatics, First Faculty of Medicine, Charles University, Prague, Czech Republic, 3Institute of Macromolecular Chemistry, Czech Academy of Sciences, Prague, Czech Republic, 4Faculty of Mechatronics Informatics and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic, 5Faculty of Health Studies, Technical University of Liberec, Prague, Czech Republic |
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Our work is focused on the development and investigation of novel polymer-based contrast agent for 31P magnetic resonance (31P MR). The proposed diagnostics is a methacrylate-type polymer containing a phosphorothioate group (p(TMPC)), which causes a significant chemical shift of phosphorus, making it easily distinguishable from other biological phosphorus components, and is thus easily traceable by 31P MRI. Results from 31P MR imaging, spectroscopy and relaxometry obtained at 4.7T show very good MR properties, thus p(TMPC) represent a very promising diagnostic tool for in vivo use. |
| 1197 | PAA-g-(DTPA-Gadolinium): A Versatile Agent to Visualize the Effiencient Interstitial Stream at 7 Tesla | |
| Xiaohan Zhou1,2, Yi Hou3, Wentao Liu1, and Dong Han1,2 | ||
1National Centre for Nanoscience and Technology, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Beijing University Of Chemical Technology, Beijing, China |
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Interstitium space and interstitial stream compartmentalize organs distributed in different regions and compose human body among parenchymal tissues. The increase in interests to investigate the behavior and function of interstitial stream, combined with new methodologies propose the demand in new agent to visualize the path itself. A macromolecule gadolinium-based agent PAA-Gd was introduced to outline the path while mass transportation was driven in Balb/c via interstitial stream and histology study was combined to perform in microscopic view as tracer. The novel agent can display its high efficiency to visualize the stream in radiology and pathology study as a versatile enhancer. |
| 1198 | Assessment of Gd concentration estimated in DCE-MRI with multiple flip angles | |
| Ayesha Bharadwaj Das1, James Andrew Tranos2, Jin Zhang1, Youssef Zaim Wadghiri2, and Gene Kim1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Radiology, New York University School of Medicine, New York, NY, United States |
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The purpose of this study is to assess the accuracy of Gadolinium-based contrast agent (GBCA) concentration measured using the novel DCE-MRI method with two flip angles, without using the pre-contrast T1 measurement. The accuracy of the proposed method was assessed using the conventional approach with pre-contrast T1 measurement as well as the Gd concentration measurement using Inductively coupled plasma-mass spectrometry using the blood samples collected at the end of each scan. The results exhibited a strong correlation and agreement between the Gd concentration from the proposed two flip angle method and those from the conventional MRI method and ICP-MS analysis. |
| 1199 | Evaluation of cellular sensitivity for magnetic particle imaging and fluorine-19 magnetic resonance imaging | |
| Olivia C Sehl1,2 and Paula J Foster1,2 | ||
1Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada, 2Medical Biophysics, University of Western Ontario, London, ON, Canada |
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Fluorine-19 (19F) MRI and magnetic particle imaging (MPI) are both quantitative modalities used for cell tracking. We evaluated the cellular sensitivity of MPI using ferucarbotran on a preclinical MPI system and 19F MRI using perfluorocarbons on a 3 Tesla clinical system. For both modalities, significant linear increases in 19F and MPI signal were detected with increasing number of mesenchymal stem cells (MSC). As few as 4000 MSC were reliably detected with MPI and 256 x 103 MSC with 19F MRI using the same scan time (1.5 minutes/cell pellet). Both of these detection limits were improved with longer imaging times. |
| 1200 | Detecting Extreme Small Lesions in MR images with Point Annotations via Multi-task Learning | |
| Xiaoyang Han1, Yuting Zhai1, Botao Zhao1, and Xiao-Yong Zhang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China |
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Detection of small lesions in magnetic resonance (MR) images is currently one of the most challenging tasks. Compared with detection in natural images, existing methods cannot accurately detect small lesions with a limited amount of information in MR images. To solve the problems, we propose a novel multi-task convolutional neural network, which simultaneously regresses the lesion number and detects the lesion location. We train and evaluate the end-to-end network to count and locate extreme small lesions within 3-5 voxels on a mouse brain MR image dataset with point annotations. Our network outperforms other methods on sensitivity and precision. |
| 1201 | Diagnostic value of Gd-contrast administration for spinal cord MRI in MS patients and T2 signal ratio as a predictive marker of lesion activity | |
| Kianush Karimian-Jazi1, Ulf Neuberger1, Katharina Schregel1, Gianluca Brugnara1, Daniel Schwarz1, Laura Jäger2, Wolfgang Wick2, Martin Bendszus1, and Michael Oliver Breckwoldt1 | ||
1Neuroradiology, University Clinic of Heidelberg, Heidelberg, Germany, 2Neurology, University Clinic of Heidelberg, Heidelberg, Germany |
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Our study shows that patients with a stable, spinal T2 lesion load do not benefit from the administration of GBCAs. In contrast to our previous cerebral study, there was no indication of spinal lesion re-activation. The T2 signal ratio has a high sensitivity and specificity to “predict” contrast enhancement of a given lesion and could be used as a predictive marker for “lesion activity”. In combination with previously published studies on the limited value of Gd-administration in cerebral MS follow-up investigations, we propose a “single-shot” MS protocol to combine cerebral and spinal MRI investigations in one standardized single MR protocol. |
| 1202 | Is MRI Contrast Stable in High-Energy Radiation of MR-Linac? | |
| Travis Salzillo1, Yongying Jiang2, Yuri Mackeyev3, Clifton David Fuller1, Caroline Chung1, Seungtaek Choi1, Neil Hughes1, Yao Ding4, Jinzhong Yang4, Sastry Vedam5, Sunil Krishnan3, and Jihong Wang4 | ||
1Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Institute for Applied Cancer Science, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States, 4Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 5Radiation Oncology, University of Maryland, Baltimore, MD, United States |
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Gadolinium-based MRI contrast agents are deemed safe to use in diagnostic exams. Their use would bring value to radiation oncology applications such as daily replanning on the MR-Linac. However, their stability and safe use in the presence of high-energy radiation remains unknown. We analyzed the chemical composition stability of two common MRI contrast agents that were irradiated to various doses using mass spectrometry. We found no detectable amounts of degradation compounds or conformational alterations as a result of irradiation. This is the first step towards demonstrating the safe use of gadolinium-based MRI contrast agents in radiation oncology applications. |
| 1203 | Contrast enhancement of the normal infundibular recess using 3D FLAIR | |
| Iichiro Osawa1, Eito Kozawa1, Yuya Yamamoto1, Sayuri Tanaka1, Taira Shiratori1, Akane Kaizu1, Kaiji Inoue1, and Mamoru Niitsu1 | ||
1Saitama Medical University Hospital, Saitama, Japan |
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The infundibular recess (IR) is a cerebrospinal fluid (CSF) space in the third ventricle floor, and its function remains unclear. We retrospectively evaluated contrast enhancement of the normal IR using heavily T2-weighted 3D FLAIR. The enhancement of IR was the strongest on post-contrast images, followed by 4-h delayed post-contrast images. It was also stronger than that of other CSF spaces. This is the first study to report the enhancement of IR after an intravenous gadolinium injection. Evaluations of the enhancement of IR may clarify substance transport, such as gadolinium or hormones into the CSF. |
| 1204 | Whole-Brain T1 and T2 Mapping in Mouse by 3D Magnetic Resonance Fingerprinting | |
| Yuran Zhu1, Yuning Gu1, Kihwan Kim1, Charlie Androjna2, Chris A. Flask1,3,4,5, Yong Chen3,6, and Xin Yu1,3,7 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, United States, 3Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 4Department of Pediatrics, Case Western Reserve University, Cleveland, OH, United States, 5Cancer Imaging Program, Case Western Reserve University, Cleveland, OH, United States, 6Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 7Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States |
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We present a 3D MR fingerprinting (MRF) sequence for simultaneous T1 and T2 mapping in mouse. Data acquisition and reconstruction covered a field of view (FOV) of 30 × 30 × 9 mm3 with a matrix size of 128 x 128 x 9, yielding a spatial resolution of 0.23 × 0.23 × 1 mm3. Retrospective undersampling analysis was performed on fully-sampled phantom and mouse data to examine the undersampling capacity of the proposed sequence, demonstrating that the method supports up to 16-fold in-plane undersampling with a 3-fold through-plane undersampling. |
| 1205 | In vivo characterization of effect of microglia regeneration after high altitude exposure by quantitative MRI in mice | |
| Alexandru V Korotcov1,2, Caroline A Browne3, Andrew K Knutsen1,2, Dara L Dickstein2,4, Juan Wang4, Xiufen Xu2,5, Kathleen Whiting2,5, Shalini Jaiswal1,2, Allison Nathanael1, Daniel P Perl4, Zygmunt Galdzicki2,5, and Bernard J Dardzinski1,2 | ||
1Radiology and Radiological Sciences, Uniformed Services University, Bethesda, MD, United States, 2Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation, Bethesda, MD, United States, 3Department of Pharmacology & Molecular Therapeutics, Uniformed Services University, Bethesda, MD, United States, 4Department of Pathology, Uniformed Services University, Bethesda, MD, United States, 5Department of Anatomy, Physiology and Genetics, Neuroscience Program, Uniformed Services University, Bethesda, MD, United States |
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Prolonged stays in high-altitude (HA) environments produce pro- and maladaptive physiological and pathological changes. Microglia depletion has been utilized in recovery from a spectrum of neurodegenerative diseases abnormalities. Advanced neuroimaging techniques demonstrate great promise to detect subtle changes in brain activity and morphology related to impairments induced by HA. In this work, we applied advanced MRI and modern behavioral tests to investigate neuropathological consequences of hypobaric hypoxia and the use of microglial regeneration as a novel approach to treat the maladaptive effect of HA. |
| 1206 | Measurement of ATP Hydrolysis Rates in the In Vivo Heart at 7T | |
| Adil Bashir1, Jianyi Zhang2, and Thomas S Denney3 | ||
1Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 2Biomedical Engineering, The University of Alabama at Birmingham, Birmingham, AL, United States, 3Electrical and Computer Engineering, Auburn University, Auburn, AL, United States |
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Direct measurement of ATP hydrolysis (ATP-->Pi) were elusive in the in vivo myocardium because the level of Pi in the heart is low and the peak attributed to Pi overlaps with the much larger peak for 2,3-disphosphoglycerate (2,3 DPG). We have demonstrated an approach to measure ATP utilization rate indirectly by measuring total ATP utilization and subtracting out the measurable component that can be attributed to ATP flux via CK. The technique was applied in swine and human hearts at 7T. This method can facilitate important insights into biological mechanisms of impaired bioenergetics in myocardium. |
| 1207 | Radial tiny golden angle MRI combined with Cardiac and Respiratory Self-Gating in the Small Animal model – one acquisition, many possibilities | |
| Patrick Metze1, Hao Li2, and Volker Rasche1,2 | ||
1Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany |
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Radial tiny golden angle MRI is a versatile tool for different applications in the small animal model. Changes on short time-scales can be visualized by sliding-window (and Compressed Sensing) reconstructions, while respiratory and cardiac self-gating enable high-resolution images for cyclic motion patterns – all from the same acquisition. |
| 1208 | Anatomical and microstructural brain alterations in the TDP-M323K mouse model of amyotrophic lateral sclerosis | |
| Aurea B Martins-Bach1, Mohamed Tachrount1, Cristiana Tisca1, Lily Qiu1, Shoshana Spring2, Jacob Ellegood2, Brian J Nieman2, John G. Sled2, Remya Raghavan-Nair 3, Elizabeth Fisher4, Thomas Cunningham3, Jason Lerch1, and Karla Miller1 | ||
1Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada, 3Mammalian Genetics Unit, MRC Harwell Institute, Oxford, United Kingdom, 4Department of Neuromuscular Diseases, Institute of Neurology, University College London, London, United Kingdom |
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Amyotrophic lateral sclerosis is a devastating neurodegenerative disease, characterized by aggregates of TDP-43 protein in the brain of most patients. The TDP-M323K mouse has a mutation in the gene encoding the Tdp-43 protein, and presents progressive motor and neurological phenotypes. In this study, we assessed structural and microstructural alterations in the brain of TDP-M323K mice with preclinical MRI (7 tesla). High resolution images showed brain atrophy, but relative volume changes included hypertrophy in the cortex and hippocampus. Diffusion MRI revealed alterations compatible with neurodegeneration in the white matter and striatum. TDP-M323K mice recapitulate brain imaging phenotypes observed in ALS patients. |
| 1209 | Changes in Correlation Between Brain Metabolites Due to Acute Stress in Mouse Hippocampus using Proton Magnetic Resonance Spectroscopy | |
| Chang-Soo Yun1, Yoon Ho Hwang2, Min-Hee Lee3, Wooseung Kim2, Jehyeong Yeon1, Hyeon-Man Baek4, Dong Youn Kim2, and Bong Soo Han1 | ||
1Radiation Convergence Engineering, Yonsei University, Wonju-si, Gangwon-do, Korea, Republic of, 2Biomedical Engineering, Yonsei University, Wonju-si, Gangwon-do, Korea, Republic of, 3Institute of Human Genomic Study, Korea University, Ansan-si, Gyeonggi-do, Korea, Republic of, 4Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon-si, Korea, Republic of |
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We investigated the changes in correlation between mouse brain metabolites due to acute restraint stress using magnetic resonance spectroscopy (MRS). Acquired time series MRS data of the control and acute stress groups were quantified using LCModel. Correlation coefficients between metabolites were calculated from time series metabolite concentration and metabolite pairs with statistically significant correlations were selected using one-sample Sign Test ( p < 0.05 ). We found that Gln-GSH, NAA-Glu and NAA-GSH showed new significant correlations in the acute stress group. Our findings suggest that correlation can be a useful measurement in assessing the effects of stress. |
| 1210 | Phenotyping a Mouse Model of TRAPPC9-Associated Intellectual Disability using Magnetic Resonance Imaging | |
| Mark David Platt1, Harish Poptani1, Antonius Plagge2, and Mahon Maguire1 | ||
1Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom, 2Cellular and Molecular Physiology, University of Liverpool, Liverpool, United Kingdom |
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Loss of function mutations in the TRAPPC9 gene causes autosomal recessive intellectual disability and microcephaly. A mouse model was generated to investigate the effects of TRAPPC9 knockout in mice. In vivo and ex vivo MRI were used alongside behavioural tests to probe differences in brain volume and learning ability. In vivo MRI demonstrated significant differences between the whole brain, cerebellar and corpus callosum volumes of adult TRAPPC9 knockout mice and wildtype controls. Behavioural assays also revealed significant differences in learning ability. These results align with the human condition and suggest the model is appropriate for further study of TRAPPC9 knockout. |
| 1211 | Cerebral metabolic derangements as translatable biomarkers in pantothenate kinase-associated neurodegeneration mouse model via 1H MRS | |
| Puneet Bagga1, Jeffrey Steinberg2, Walter Akers2, Zoltan Patay1, Beth McCarville1, Chitra Subramanian3, Charles O Rock3, and Suzanne Jackowski3 | ||
1Department of Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, TN, United States, 2Center for In Vivo Imaging and Therapeutics (CIVIT), St Jude Children's Research Hospital, Memphis, TN, United States, 3Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, United States |
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Pantothenate kinase (PanK) is a metabolic enzyme that is the first and rate-controlling step in the only pathway for cellular coenzyme A (CoA) biosynthesis. A rare, life-threatening neurological disorder known as pantothenate kinase-associated neurodegeneration (PKAN), formerly known as Hallervorden-Spatz disease, arises from mutations in the human PANK2 gene. Here, we studied the neurochemical effects of a drug capable of allosterically activating PanK protein isoforms as a potential PKAN therapeutic. We applied 1HMRS to quantify changes in cerebral metabolites including Glx, GABA, lactate, and NAA in a mouse model of CoA deficiency employing the neuron-specific deletion of Pank1 and Pank2 genes. |
| 1212 | Deuterium MRI for HDO Imaging of the Rat Brain Following Metabolism of [2H7]glucose | |
| Rohit Mahar1, Huadong Zeng2, Anthony Giacalone3, Mukundan Ragavan3, Thomas H. Mareci3, and Matthew E. Merritt3 | ||
1Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States, 2Advanced Magnetic Resonance Imaging and Spectroscopy (AMRIS) Facility, University of Florida, Gainesville, FL, United States, 3Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States |
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In this study, we demonstrate the application of deuterium MRS(I) for in vivo rat brain imaging. Administration of [2H7]glucose via the tail vein produced deuterated lactate and glx analogous to earlier reports, but here we show for the first time that HDO generated from metabolism can be imaged in the rodent brain. By using HDO evolution as a metric of glucose utilization, we introduce a biomarker of cerebral glycolysis and oxidative flux that is imaged with superior sensitivity and resolution. |
| 1213
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Tracking cancer cells in the mouse brain with magnetic resonance imaging (MRI) and magnetic particle imaging (MPI) | |
| Natasha N Knier1,2 and Paula J Foster1,2 | ||
1University of Western Ontario, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada |
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Magnetic particle imaging (MPI) is an emerging modality that may overcome challenges associated with quantification of iron-based MRI cell tracking. The magnetic properties of an SPION tracer heavily influences the sensitivity and resolution in MPI. Synomag-D™ has been explored as a sensitive tracer for MPI. Currently, no studies exist using this tracer to track cancer cells. Here, we utilize Synomag-D with MPI to detect and quantify iron-labeled breast cancer cells in the mouse brain and compare to MRI. Employing MPI for experimental cancer cell tracking will allow for quantification of the arrest, clearance, and retention of cancer cells in vivo. |
| 1214 | Consolidated simulation of 23Na Dynamics in Biological Tissue | |
| Chengchuan Wu1, Yasmin Blunck1, and Leigh A. Johnston1 | ||
1Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia |
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This work presents a mathematical framework that enables the simulation for the dynamics of the spin-3/2 23Na density operator. The simulator is featured with easy implementation for 23Na in biological environment. This work demonstrates the simulator in two 23Na pulse sequences. |
| 1215 | α-ATP suppression in 31P MR spectroscopy by homonuclear BIRD filter: An approach to quantify NAD+ and NADH at 3T in vivo | |
| Julian Mevenkamp1, Yvonne M.H. Bruls1,2, Robin A. de Graaf3, Joachim E. Wildberger1, Matthijs K.C. Hesselink2, Lucas Lindeboom1,2, and Vera B. Schrauwen-Hinderling1,2 | ||
1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2Department of Nutrition & Movement Sciences, Maastricht University, Maastricht, Netherlands, 3Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States |
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NAD+ and NADH play important roles in metabolism and metabolic health. Therefore, a non-invasive 31P MRS for the quantification of those metabolites on clinical 3T scanners was developed. This sequence suppresses α-ATP resonances based on homonuclear Bilinear Rotation Decoupling (BIRD). With reduced α-ATP intensity, neighbouring NAD+/H resonances appear as a separate peak. Results in eight young, lean and healthy volunteers show that the sequence succeeded in considerable α-ATP suppression. However, a clear separation of NADH and NAD+ resonances remains challenging due to remaining α-ATP signal. |
| 1216 | Validation of OxFlow Measurements of Whole-Brain CBF, OEF and CMRO2 by Simultaneous PET/MRI | |
| Lucas Narciso1,2, Tracy Ssali1,2, Linshan Liu1, Heather Biernaski1, John Butler1, Laura Morrison1, Jennifer Hadway1, Jeffrey Corsaut1, Justin W. Hicks1, Michael C. Langham3, Felix W. Wehrli3, Hidehiro Iida4, and Keith St Lawrence1,2 | ||
1Lawson Health Research Institute, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada, 3University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 4University of Turku and Turku PET Centre, Turku, Finland |
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OxFlow is a non-invasive MRI method for measuring whole-brain oxidative metabolism. This study presents its validation in an animal model by comparing to a PET-only method, as well as its sensitivity to alterations in cerebral metabolism. Strong correlations were observed between measurements from the MRI and PET techniques, with no significant differences. Furthermore, OxFlow proved sensitive to changes in metabolism induced by an increase in anesthetics. |
| 1217 | CNS Involvement in a Non-human Primate Model Infected with Aerosolized Ebola Virus | |
| Byeong-Yeul Lee1, Jeffrey M. Solomon2, Marcelo Castro1, Dong-Yun Kim3, Joseph Laux1, Matthew G. Lackemeyer1, Jordan K. Bohannon4, Anna N. Hanko5, Dima Hammoud6,7, and Ji Hyun Lee1 | ||
1Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, United States, 2Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, United States, 3Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD, United States, 4National Biodefense Analysis and Countermeasures Center, Frederick, MD, United States, 5Microbiology, Boston University School of Medicine, Boston, MA, United States, 6Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 7Center for Infectious Disease Imaging, National Institutes of Health, Bethesda, MD, United States |
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We performed a quantitative neuroimaging study to determine central nervous system involvement following exposure with Ebola virus (EBOV) variant Makona via the aerosolized route in a rhesus monkey model. Using MR relaxometry, we found increases in T1 and R2* values in multiple brain regions. Notably, R2* changes corresponding to the deep cerebral venous system highly correlated with viral loads in CSF. These results provide in vivo evidence of brain involvement with EBOV and emphasize the potential of advanced imaging techniques to better understand the pathophysiology of organ involvement in various infectious diseases, including the brain. |
| 1218 | Characterization of a Novel Hypomyelination Mouse Model Using Microstructural Imaging of Myelin Volume Fraction and Axon g-ratio | |
| Vladimir Grouza1,2, Zhe Wu1,3, Marius Tuznik1,2, Hooman Bagheri4, Dan Wu5, Alan C Peterson2,4,6, and David Rudko1,2,7 | ||
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 2Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 3Techna Institute, University Health Network, Toronto, ON, Canada, 4Department of Human Genetics, McGill University, Montreal, QC, Canada, 5Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada, 7Department of Biomedical Engineering, McGill University, Montreal, QC, Canada |
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We investigated a novel mouse model of CNS hypomyelination using T2* weighted mGRE and diffusion weighted imaging. By integrating a recently developed method for MWF estimation from mGRE data (BSS-rPCA), we observed strong correlations between Mbp/Golli mRNA expression levels and MVF in select WM tracts in the brain. In addition, WM tract g-ratio values computed from BSS-rPCA MVF combined with NODDI-derived parameters were consistent with those found in the literature computed using differing methods. These results support integrating BSS-rPCA MWF estimates into quantitative microstructure evaluation workflows. |
| 1219 | Thalamic reticular nucleus injury as the cause of thalamocortical dysrhythmia in mild traumatic brain injury: a rodent model DTI study | |
| Duen-Pang Kuo1,2, Yi-Tien Li1,3, Chen-Yin Ou1, Yung-Chieh Chen1,2, and Cheng-Yu Chen1,2 | ||
1Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan, 2Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan, 3Neuroscience Research Center, Taipei Medical University, Taipei, Taiwan |
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Thalamocortical dysrhythmia (TCD) has been implicated in the neuropsychiatric disorders in patients following mild traumatic brain injury (mTBI). We investigated the time-course diffusion tensor changes in the rodent brain up to 35 days using a controlled closed head injury model. Significant and persistent elevation of fractional anisotropy (FA) and reduced radial and mean diffusivities were found at the boundary of bilateral thalami where high shear stress was expected, suggesting that disinhibition of inhibitory circuits from the thalamic reticular nucleus (TRN) may play a role in TCD. |
| 1220 | HIV Theranostics Based on Intrinsic CEST Contrasts of Antiretroviral Drugs | |
| Aditya Bade1, Howard Gendelman1, and Yutong Liu2 | ||
1Pharmacology and Exp Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States, 2Radiology, University of Nebraska Medical Center, Omaha, NE, United States |
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HIV theranostics that enables the in vivo imaging of antiretroviral drugs is a powerful tool for the development of antiretrovirals (ARVs) targeting HIV reservoirs, and the development of long-acting ARVs that affect drug adherence and as such reduce viral transmission, prevent new infections, and limit the emergence of viral drug resistance. We tested the possibility to develop HIV theranostics based on the intrinsic CEST contrasts of ARVs. Herein, we measured the CEST effects of first-line ARVs including 3TC (lamivudine) and FTC (emtricitabine) and developed CEST MRI methods for in vivo detection of ARVs in the central nervous system (CNS). |
| 1221 | Deep Learning of ADC Maps from Under-sampled Diffusion-Weighted Radially Sampled MRI | |
| Yuemeng Li1, Hee Kwon Song1, Miguel Romanello Giroud Joaquim1, Stephen Pickup1, Rong Zhou1, and Yong Fan1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Respiratory motion and high magnetic fields pose challenges for quantitative diffusion weighted MRI (DWI) of mouse abdomen on preclinical MRI systems. EPI-based DWI method yields inadequate suppression of motion and magnetic susceptibility artifacts. Diffusion-weighted radial spin-echo (Rad-SE-DW) produces artifact-free images but require substantially longer acquisition times. Here, we demonstrate a new deep learning concept for accelerating acquisition of RAD-SE-DW. Fully sampled Rad-SE-DW images are used to train a convolution neural network for directly extracting apparent diffusion coefficient (ADC) maps from highly under-sampled Rad-SE-DW data. Comparisons with standard ADC extraction and acceleration methods are made to support this concept. |
| 1222 | Multiparametric functional magnetic resonance imaging for longitudinal evaluation of liver regeneration after 70% hepatectomy in a rat model | |
| shuangshuang xie1, caixin qiu1, yajie sun1, jinxia zhu2, Robert Grimm3, and wen shen1 | ||
1Tianjin First Central Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 3MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany |
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This study investigated the feasibility of multiparametric magnetic resonance imaging (MRI) (IVIM, DKI, BOLD) to evaluate the liver regeneration process after 70% hepatectomy in rats. MRI examination and pathologic samples were performed at multiple time-points. The results showed that D, D*, FP, MD, MK, and T2* can be used to monitor the microstructural changes after surgery, and D* and MK were significantly correlated with proliferative indexes of Ki - 67 and hepatocyte size. This suggests that multiparametric MRI can aid in noninvasive radiologic monitoring of liver regeneration and intrinsic microstructure evaluation |
| 1223 | Investigating differences in lung cancer cells with induced and de-induced cisplatin resistance by 1H HR-MAS NMR metabolomics | |
| Martina Vermathen1, Hendrik von Tengg-Kobligk2,3, Martin Nils Hungerbühler2,3, Christoph Kempf2,3, Peter Vermathen2,3, and Nico Ruprecht2,3 | ||
1Department of Chemistry and Biochemistry, University Bern, Bern, Switzerland, 2University Institute of Diagnostic, Interventional and Pediatric Radiology, University Bern, Bern, Switzerland, 3Department of BioMedical Research, University Bern, Bern, Switzerland |
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Cisplatin (cisPt) is an important drug that is used against various cancers, including advanced lung cancer. However, drug resistance is a major problem. Here, a high resolution magic angle spinning (HR-MAS) NMR study is presented determining the metabolic profile of lung cancer cells (A24) and metabolic adaptations in different levels of induced cisPt-resistance as well as in their de-induced counterparts. More than 40 metabolites were identified. Metabolic adaptations were determined, which increased with higher cisPt-resistance. Importantly, de-induced cell lines demonstrated similar metabolic adaptations. Metabolites predominantly changed in cisPt resistant cells and their de-induced counterparts include glutathione or taurine. |
| 1224 | Characterization of cardiac function in early-stage pulmonary arterial hypertension in asymptomatic BMPR2 mutant rats by MRI and 31P MRS | |
| Dounia El Hamrani1,2, Julie Magat1,2, Jérôme Naulin1,2, Frédéric Perros3, Marilyne Campagnac2, David Benoist1,2, Christelle Guibert2, and Bruno Quesson1,2 | ||
1IHU LIRYC, Bordeaux, France, 2INSERM U1045, CRCTB, Bordeaux, France, 3INSERM UMR_S 999, Université Paris–Saclay, Le Kremlin Bicêtre, France |
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The transgenic rat line studied has a monoallelic mutation of Bmpr2 which is a model of heritable pulmonary arterial hypertension. The purpose of this study is to evaluate cardiac differences between wild type and asymptomatic mutated rats by cardiac MRI and 31P MRS. Transgenic rats showed a decrease in end-diastolic and end-systolic volumes of ventricles leading to a reduced stroke volume. These results indicate a significant decrease in cardiac output but without ventricular hypertrophy (constant wall thickness) and no significant variation of ejection fraction. The cardiac energy balance (phosphocreatine/ATPβ) remained unaltered in Bmpr2 rats at rest and post-injection of dobutamine. |
| 1225 | A pilot study of socially deprivated brain alterations using fMRI and dMRI in domestic dogs | |
| Xueru Liu1,2, Huilin Hong3, Zhentao Zuo1,2,4, Hui Zhao3, Rui Tian3, Yongqing Zhang2,3,4, and Yan Zhuo1,2,4 | ||
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 |
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Social interactions, like sleep, is the basic needs for humans and animals, its neural mechanism is not fully understood. Domestic dog has similar emotional and social processing with humans, it would be a promising animal model for social interaction. In this study, 3 beagles were social deprived (SD) 4-week, and performed resting-state fMRI and diffusion MRI. The functional connectivity and diffusion metrics were compared between SD and wild type dogs. We found the functional connectivity strengthened within prefrontal cortex and weakened between prefrontal cortex with visual and auditory cortex in SD. Demyelination observed in frontal, temporal, and insula regions. |
| 1226 | Vcan mutation leads to sex-specific changes in white matter microstructure in mice | |
| Cristiana Tisca1, Mohamed Tachrount 1, Frederik Lange1, Chaoyue Wang1, Lily Qiu1, Javier Barallobre-Barreiro2, Marika Fava2, Manuel Mayr2, Jason Lerch1,3,4, Aurea Martins-Bach1, and Karla Miller1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2British Heart Foundation Centre of Research Excellence, King's College London, London, United Kingdom, 3Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON, Canada, 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Recent genome-wide association studies using UK Biobank datasets have shown associations between diffusion-weighted MRI (dMRI) phenotypes and genetic loci associated with the human VCAN gene, spanning most white matter tracts. To understand the biological cause of this association, we acquired ex vivo structural and dMRI data in a Vcan mouse model and evaluated whether it displays similar changes in white matter microstructure. We show that male Vcan mice display related dMRI phenotypes to those associated with mutations in VCAN in humans. This gives us the ability to investigate the biological interpretations of human GWAS results using histology. |
| 1227 | Metabolic Responses of HeLa Cells upon addition of the Photosensitizer Chlorin e4 and Carriers in the Dark by 1H HR-MAS NMR | |
| Martina Vermathen1, Tobias Emmanuel Kämpfer1,2, and Peter Vermathen2 | ||
1Department of Chemistry and Biochemistry, University Bern, Bern, Switzerland, 2Departments of BioMedical Research and Radiology, University Bern, Bern, Switzerland |
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Porphyrinic photosensitizers (PSs) like chlorin e4 (Ce4) are applied with polymer-based carriers for photodynamic therapy of cancer. However, the impact of PSs and their carriers on the metabolic state of cells in the dark-interval before light treatment are not clear. Here, HR-MAS NMR metabolomics was applied to cancer cells treated with Ce4 alone or combined with polyvinylpyrrolidone (PVP) or block-copolymer micelles (BCMs). A Ce4-concentration dependent metabolic response was observed that was clearly attenuated by BCMs and more pronounced by PVP indicating the beneficial role of the carriers. Direct interaction of Ce4 with glycero-phosphocholine was observed suggesting intracellular membrane localization. |
| 1228 | Absolute quantification of cardiac 31P metabolites using surface loop and dipole array coils at 7T | |
| Jabrane Karkouri1, Stanislav Frištyk2, Lucian AB Purvis3, Christopher T. Rodgers*1, and Ladislav Valkovic*3 | ||
1Wolfson Brain Imaging Center, University of Cambridge, Cambridge, United Kingdom, 2Department of Electromagnetic and Biomedical Engineering, University of Žilina, Zilina, Slovakia, 3Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom |
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Phosphorus magnetic resonance spectroscopy (31P-MRS) delivers unique information to aid our understanding of cardiac metabolism. To quantify “absolute” concentrations of phosphorus metabolites (i.e. in recognised units such as mmol / kg wet weight), sensitivity calibration and transmit field correction are required. Ultrahigh field (>7 T) magnets and the use of multichannel RF coils make this even more challenging. In this study, we investigate the feasibility of absolute concentration of phosphorus metabolites in the human heart at 7T, compare our findings to literature values and evaluate reproducibility with different coils and different MR systems. |
| 1229 | Deuterium MRI brain mapping of absence seizure medication: ethosuximide illustration | |
| Andrey N. Pravdivtsev1, Arne Brahms2, Jens Gröbner3, Rosa Rojas4, Eva Peschke1, Anna-Sophia Buschhoff4, Frowin Ellermann1, Rainer Herges2, Jan-Bernd Hövener1, and Peer Wulff4 | ||
1Section Biomedical Imaging, MOIN CC, Kiel University, Kiel, Germany, 2Otto Diels Institute for Organic Chemistry, Kiel University, Kiel, Germany, 3Fachhochschule Südwestfalen, Fachbereich Elektrotechnik und Informationstechnik, Lüdenscheid, Germany, 4Institute of Physiology, Kiel University, Kiel, Germany |
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The mechanisms of action of many common antiepileptics are currently not fully understood. These drugs have a narrow therapeutic window with some severe side effects. Here, we are setting up a pipeline to study the distribution of CNS-targeting drugs non-invasively with MRI, using deuterium (2H) labelling and deuterium magnetic resonance spectroscopy. |
| 1230 | Correlating patterns in tumor cytoarchitecture with multiparametric MR signal in preclinical models of sarcoma | |
| Stephanie J Blocker1, James Cook1, Yvonne M Mowery2, Jeffrey I Everitt3, Yi Qi1, Kathryn Hornburg1, Gary P Cofer1, Fernando Zapata1, Alex M Bassil2, Cristian T Badea1, David G Kirsch2, and G. Allan Johnson1 | ||
1Radiology, Duke University, Durham, NC, United States, 2Radiation Oncology, Duke University, Durham, NC, United States, 3Pathology, Duke University, Durham, NC, United States |
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Identification of MR imaging biomarkers for solid tumors requires a reliable means of correlating multiparametric MR and pathological data. We have constructed a platform for registration of multi-scale preclinical imaging libraries that utilizes MR histology and cytometric feature mapping for correlative studies. With this platform we have identified a selection of cytometric features in murine sarcomas which demonstrate correlative trends with ex vivo and in vivo MR, including ADC and T2*. |
| 1231 | PET-MR imaging of reactive macrophages in an orthotopic model of ovarian cancer | |
| Catherine Foss1, Desmond Jacob1, Flonné Wildes1, and Marie-France Penet1 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Major limitations of radiological evaluation of ovarian cancer arise from the inability to consistently detect small lesions. Here, we combine the anatomic imaging capabilities of MRI with the highly sensitive molecular imaging capabilities of PET in an orthotopic syngeneic model of ovarian cancer. [124I]iodo-DPA-713, a macrophage-specific imaging agent, is used to detect and stage ovarian cancer. Specific uptake of the radiotracer was observed within and proximal to the primary tumor at early stages, and in the peritoneal ascitic fluid and within metastases at later stage. These studies will provide insights into ovarian cancer progression that will complement emerging host-directed therapeutics. |
| 1784
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Quadrupole moment splittings observed in 7T deuterium magnetic resonance spectra of skeletal muscle | |
| Ayhan Gursan1, Martijn Froeling1, Arjan D. Hendriks1, Dimitri Welting1, Dennis W.J. Klomp1, and Jeanine J. Prompers1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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DMI in combination with oral administration of deuterated glucose could potentially be used to investigate glycolytic and oxidative glucose metabolism in skeletal muscle non-invasively. However, skeletal muscle is a tissue with a high degree of spatial organization. In this study, we investigated the effect of anisotropic motional averaging on 7T deuterium spectra of the lower leg muscles. We observed quadrupole moment splittings of the natural abundance HDO signal and showed that the size of these splittings depends on the angle between muscle fibers and the main magnetic field B0. |
| 1785 | Brain Metabolic Heterogeneity Revealed by Inorganic Phosphate (Pi): The Puzzling Line Broadening and Splitting of Pi Magnetic Resonance at 7T | |
| Jimin Ren1,2, Craig R Malloy1,2, and Dean Sherry1,2 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States |
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Despite its very small size and highly structural symmetry, the brain inorganic phosphate (Pi) signal is twice broader in linewidth or even splitting as compared to phosphocreatine signal by 31P-MRS at 7T. This puzzling phenomenon is attributed to spacial pH heterogeneity and rapid Pi diffusion between different cellular compartments, which likely prevails over other potential factors such as chemical exchange. Importantly, the Pi lineshape deconvolution by a two-component approach may provide a novel way to measure the distribution of neurons and astrocytes in brain if the assignment confirmed. Therefore this simple method may hold great promise to study neurodegenerative diseases. |
| 1786 | Monitoring liver glucose uptake and metabolism with dynamic 3D deuterium metabolic imaging at 7T | |
| Ayhan Gursan1, Arjan D. Hendriks1, Dimitri Welting1, Dennis W.J. Klomp1, and Jeanine J. Prompers1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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Deuterium metabolic imaging (DMI) is an emerging method to assess metabolism in vivo. In this study, we applied dynamic 3D DMI with oral administration of deuterated glucose to investigate the dynamics of hepatic glucose uptake and metabolism at 7T. After glucose intake, the signal from deuterated glucose logarithmically increased in the liver and plateaued around 100 min, after which it decreased again, as a result of its conversion through glycolysis, oxidative metabolism and, probably the largest part, glycogen synthesis. DMI will be a valuable tool to study disturbances of liver metabolism in metabolic diseases. |
| 1787 | Precision and Reliability of Metabolite Quantification of 31P MRS at 7T | |
| Jia Xu1, Rolf F. Schulte2, William R. Kearney1, and Vincent A. Magnotta1,3,4 | ||
1Radiology, University of Iowa, Iowa City, IA, United States, 2GE Global Research, Munich, Germany, 3Psychiatry, University of Iowa, Iowa City, IA, United States, 4Biomedical Engineering, University of Iowa, Iowa City, IA, United States |
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The test-retest repeatability of ATP and PCr concentrations in the human brain was measured with a non-localized, quantitative 31P MRS protocol. The performance of several automated MRS quantification methods that require little or no human intervention were evaluated. We found that the peak integration by simple summation of the magnitude spectrum is the most sensitive and robust to detect small ATP concentration changes. The excellent test-retest repeatability enables ATP concentration to be studied instead of using them as internal reference. This is important in diseases such as those that impair mitochondrial function resulting in impaired oxidative phosphorylation. |
| 1788 | 31P dual-band pulse for selective refocusing of phosphomonoesters and phosphodiesters at low B1+ and low SAR | |
| Zahra Shams1, Evita C. Wiegers1, Wybe J.M. van der Kemp1, Dennis W.J. Klomp1, and Jannie P. Wijnen1 | ||
1Department of radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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The ratio of phosphomonoesters (PME) and phosphodiesters (PDE) is potentially an important biomarker of cancer in the body, which can be measured by 31P MR spectroscopy. Here, we introduce a dual band pulse of low B1+ amplitude for specific refocusing of these metabolite signals. This can be an alternative solution to the high power demanding adiabatic refocusing pulses used for 31P MRS in the body, upon using a multi-echo sequence. |
| 1789 | Multi-Centre patients receiving lithium treatment for bipolar disorder: 7Li-MRI optimization using a physiologically representative phantom | |
| Karthik Chary1, Franck Mauconduit2, Fiona Smith1, Marie Chupin3, Emmanuelle Gourieux2,3, Laura Pelizzari4, Karen Kettless5, Kristoffer Brendstrup-Brix6, Eva Mezger7, Daniel Keeser7, Olaf Dietrich8, Tim Wesemann9, Philipp Ritter10, Annett Werner9, Letizia Squarcina11, Paolo Brambilla11,12, Frank Bellivier13, Fawzi Boumezbeur2, David Cousins1,14, and Pete Thelwall1 | ||
1Translational and Clinical Research Institute, Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom, 2NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France, 3CATI, Institut du Cerveau et de la Moëlle Epinière, Paris, France, 4IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, 5Siemens Healthcare A/S & Siemens Healthcare GmbH, Copenhagen, Denmark, 6Neurobiology Research Unit (NRU) at Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark, 7Department of Psychiatry and Psychotherapy, University Hospital, LMU University, Munich, Germany, 8Department of Radiology, University Hospital, LMU Munich, Munich, Germany, 9Institute and Clinic of Diagnostic and Interventional Neuroradiology, University Hospital, Carl Gustav Carus, Dresden, Germany, 10Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, 11Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy, 12Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy, 13INSERM UMRS-1144, AP-HP, Saint-Louis - Lariboisière – F. Widal Hospitals, Paris, France, 14Regional Affective Disorders Service, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom |
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7Li-MRI is a unique technique to trace the brain lithium distribution, which may predict treatment response in bipolar disorder. The signal-to-noise ratio in balanced steady state free precession acquisition protocols (bSSFP) for 7Li-MRI can be efficiently optimized using physiologically representative phantoms. We sought to implement and validate a bSSFP protocol to maximize 7Li signal amplitude using theoretical modelling and phantom acquisitions, further validating the sequence across multiple centres, ensuring data harmonization. bSSFP signal modelling and phantom data demonstrated good agreement, with minimal inter-site variation in signal-to-noise confirming suitability for use in our multi-centre study of lithium response in bipolar disorder. |
| 1790 | Simultaneous acquisition of 1H/19F/23Na/31P MR imaging in Phantom at 3T using a quadruple-nuclear RF coil system | |
| Nan Li1,2, Xing Yang1,2, Feng Du1,2, Kang Yan3, Bei Liu3, Yiping Du3, Chunsheng Yang4,5, Zhi Zhang4,5, Li Chen4,5, Fang Chen4,5, Xiaoliang Zhang6, Xin Liu1,2, Hairong Zheng1,2, and Ye Li1,2 | ||
1Lauterbur Imaging Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China;, shenzhen, China, 2Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen, China, Shenzhen, China, 3Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China., Shanghai, China, 4State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Innovation Academy for Precision Measurement Science and Technology, the Chinese Academy of Sciences, Wuhan 430071, China;, Wuhan, China, 5University of Chinese Academy of Science, Beijing 100049, China, Wuhan, China, 6Department of Biomedical Engineering, State University of New York at Buffalo, NY, United States, Buffalo, NY, United States |
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Affected by the inherent physical properties, it was challenging to obtain the imaging of heteronuclear at 3T, which usually have weak MR signals. Hence, high performance was required of the RF system to excite and receive MR signals. In this study, a range of imaging tests were performed on the phantom by using the developed specific quadruple-nuclear RF coil system. The results demonstrated the feasibility of synchronized 1H/19F/ 23Na/31P MR imaging at 3T. Furthermore, the imaging approach combined the quadruple-nuclear RF coil and triple tuned local 19F/23Na/31P receive coil was also indicated the improved SNR of corresponding nucleus. |
| 1791 | Sodium NMR relaxation times of human skin as potential biomarkers for Type 2 Diabetes Mellitus | |
| Daria V Fomina1,2, Elnur G Sadykhov3, Petra Hanson4,5, Christopher J Philp1, Harpal S Randeva4,5, J Paul O'Hare4,5, Olga S Pavlova3,6, Nikolay V Anisimov6, Alexander M Makurenkov3, Yury A Pirogov3, Thomas M Barber4,5, Thomas Meersmann1, and Galina E Pavlovskaya1,2 | ||
1SPMIC, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 3Faculty of Physics, Lomonosov Moscow State University, Moscow, Russian Federation, 4Warwick Medical School, University of Warwick, Coventry, United Kingdom, 5Warwickshire Institute for the Study of Diabetes Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire, Coventry, United Kingdom, 6Faculty of Fundamental Medicine, Lomonosov Moscow State University, Moscow, Russian Federation |
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Skin plays an important role in sodium regulation in the human body. As sodium interaction with macromolecules in biological tissue results in a bi-exponential T2 relaxation, a sensitive characterization of the molecular environment of the sodium ions can be made. This allows us to investigate sodium relaxation times, T2short and T2long, in human skin samples from patients with and without Type 2 Diabetes Mellitus (T2DM) using high-resolution 23Na MRS at high field 9.4T. We find that there is a significant elongation of T2long in T2DM patients. This might be indicative of disease specific skin structure changes. |
| 1792 | Accuracy of quantified 23Na MRI in ischemic Stroke with varying undersampling Factors and CNN Postprocessing | |
| Anne Adlung1, Nadia Karina Paschke1, Alena-Kathrin Golla1,2, Dominik Bauer1,2, Sherif Mohamed3, Melina Samartzi4, Marc Fatar4, Eva Neumaier Probst3, Frank Gerrit Zöllner1,2, and Lothar Rudi Schad1 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent System in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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This study investigates factors of k-space undersampling for which CNN postprocessing is able to improve 23Na MRI data. Data from 53 patients with ischemic stroke was included and image reconstruction was performed with full k-space data (FI) and with k-space data that was reduced (RI) by different factors (S = 2, 4, 5 and 10). Postprocessing with a convolutional neural network was applied to the highly undersampled 23Na MRI data. The CNN was able to significantly improve SNR and SSIM for all S with both loss functions. CNN postprocessing could enable significant reduction of 23Na MRI data acquisition time. |
| 1793 | 23Na MRI of mild traumatic brain injury: linear regression analysis reveals decreased total sodium concentration | |
| TERESA GERHALTER1, Anna M. Chen1, Seena Dehkharghani1, Rosermary Peralta1, Fatemeh Adlparvar1, James S. Babb1, Tamara Bushnik2, Jonathan M. Silver3, Brian S. Im2, Stephen P. Wall4, Ryan Brown1, Guillaume Madelin1, and Ivan Kirov1 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, NEW YORK, NY, United States, 2Department of Rehabilitation Medicine, New York University Grossman School of Medicine, NEW YORK, NY, United States, 3Department of Psychiatry, New York University Grossman School of Medicine, NEW YORK, NY, United States, 4Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, NEW YORK, NY, United States |
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In this quantitative sodium MRI study, 27 mild traumatic brain injury (mTBI) and 19 controls were scanned at 3 T. Linear regression analysis was used to measure total sodium concentrations (TSC) in global grey and white matter. We found statistically significant lower global grey and white matter TSC in mTBI patients compared to controls. This suggests that sodium imbalances in TBI, well-recognized from basic research, can be detectable non-invasively, are widespread over the entire brain, and are present even when the injury is clinically mild. |
| 1794 | Evaluation of different References for the Quantification of Tissue Sodium Concentration in Patients with ischemic Stroke | |
| Anne Adlung1, Sherif Mohamed2, Nadia Karina Paschke1, Mara Berger1, Melina Samartzi3, Marc Fatar3, Achim Gass4, Eva Neumaier Probst2, and Lothar Rudi Schad1 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Heidelberg University, Mannheim, Germany |
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23Na MRI is an indicator for cell viability and quantification provides the tissue sodium concentration (TSC). Aim of this study is to evaluate the reliability of cerebrospinal fluid (CSF) and vitreous humor (VH) as internal references for TSC quantification. Data of 49 patients with ischemic stroke was included for TSC quantification which was performed based on signal intensity within external references, CSF and VH. TSC of healthy tissue was significantly lower compared to pathological tissue. Results showed a high similarity between the three quantification methods. Internal references would simplify 23Na MRI measurements and thus its clinical establishment. |
| 1795 | Sodium TQ signal of amino acids and α-lactalbumin in comparison to bovine serum albumin | |
| Dennis Kleimaier1, Simon Reichert1, Victor Schepkin2, and Lothar R. Schad1 | ||
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States |
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This study demonstrates that amino acids and the protein α-LA do not yield a sodium TQ signal. Despite a significant reduction in sodium relaxation times, a sodium TQ signal was not observed for the amino acids glutamic acid, arginine, and lysine, as well as for the small sized protein α-LA up to their highest concentration dissolvable in water. In contrast, a BSA concentration of 3% w/v was already sufficient for the creation of a sodium TQ signal. Consequently, in vivo small molecules can only contribute to a reduction in the MR relaxation times without a detectable sodium TQ signal. |
| 1796 | Measuring CMRO2 in Brain Subcortical Structures Using Dynamic 17O-MRI | |
| Hao Song1, Burak Akin1, Johannes Fischer1, Ali Caglar Özen1,2, Stefan Schumann3, and Michael Bock1,2 | ||
1Dept. of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2German Consortium for Translational Cancer Research (DKTK), Partner Site Freiburg, Freiburg, Germany, 3Dept. of Anesthesiology and Critical Care, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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Dynamic 17O-MRI with inhalation of isotope-enriched 17O2 is capable of directly quantifying the cerebral metabolic rate of oxygen consumption (CMRO2). In this work, we investigated oxygen metabolism in brain subcortical structures including thalamus, dorsal striatum, caudate nucleus and insula cortex. The determined CMRO2 values in these areas were compared with literature values obtained by PET studies. Our results show the feasibility of measuring local CMRO2 in brain subcortical structures using 17O-MRI at 3T. |
| 1797 | MRI visualization of neurogenesis with ferritin and eGFP gene reporters in the intact and post-ischemic rat brain | |
| Marina Y Khodanovich1, Andrey E Akulov2, Tatyana V Anan’ina1, Elena P Krutenkova1, and Anna V Naumova3 | ||
1Research Institute of Biology and Biophysics, Tomsk State University, Tomsk, Russian Federation, 2Institute of Cytology and Genetics, Novosibirsk, Russian Federation, 3Radiology, University of Washington, Seattle, WA, United States |
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The present work demonstrates feasibility of longitudinal visualization of neurogenesis in vivo with MRI gene reporter ferritin and fluorescent reporter eGFP expressed under the doublecortin promoter. Main source of the signal hypointensity in the brain neurogenic zones were mature and young neurons. Main source of the signal hypointensity in the ischemic lesion area were macrophages. |
| 1798 | Treatment-induced changes in 2H-labeled lactate measured by 2H magnetic resonance spectroscopy are associated with apoptotic cell death | |
| Josephine L Tan1,2, Daniel Djayakarsana1,2, Hanzhi Wang1,2, Rachel W Chan2, Colleen Bailey1,2, and Angus Z Lau1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada |
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Elevated lactate production, a key characteristic of the aberrant tumour metabolism, can be detected non-invasively by deuterium (2H) magnetic resonance spectroscopy (MRS). To determine if 2H-labeled lactate measured by 2H MRS can serve as an early marker of tumour response, we investigate the association of treatment-induced signal changes in 2H-lactate in vitro with apoptotic cell death. We show that significantly lower 2H-lactate in 48-hour cisplatin treated cells (1.6 ± 0.4 mM) compared to those untreated (3.2 ± 0.4 mM) and 24-hour treated cells (4.0 ± 0.6 mM) is associated with with an increase in apoptotic area fraction. |
| 1799 | Three-compartment modeling for dynamic theragnostic agent enhanced MRI for Quantitative Analysis of NASH progression | |
| Asaduddin Muhammad1, Wonsik Jung2, Sangyong Jon2, and Sung-Hong Park1 | ||
1Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Biological science, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
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Non-Alcoholic steatohepatitis (NASH) is a liver condition that has been linked heavily as a precursor to irreversible cirrhosis condition. The symptoms are often silent or non-specific to NASH, causing diagnosis to be difficult. Emerging works in theragnostics have open a chance to diagnose NASH using MRI systems. In this study, we present a three-compartment model that is sensitive to NASH progression. A kinetic parameter derived from the model linearly increased as NASH disease progressed. This study revealed possibility of using contrast agent and compartment modeling to quantitatively analyze the NASH progression. |
| 1800 | Dynamic Oxygen-17 MRI with Model-Based Approach for Mapping Cerebral Metabolic Rate of Oxygen in Mouse Brain at 9.4 T | |
| Yuning Gu1, Huiyun Gao2, Kihwan Kim1, Yunmei Wang2, and Xin Yu1,3 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Medicine, Case Western Reserve University, Cleveland, OH, United States, 3Radiology, Case Western Reserve University, Cleveland, OH, United States |
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An oxygen-17 (17O) MRI method combining 3D golden-means-based radial sampling with model-based parameter mapping was developed for non-invasive measurement of cerebral metabolic rate of oxygen (CMRO2) after inhalation of 17O-oxygen (17O2). The method enabled quantification of CMRO2 in post-stroke mouse brain with a nominal isotropic spatial resolution of 1.6 mm. CMRO2 was 1.5 to 2.5 μmol/g/min in the normal tissue, and was ~1 μmol/g/min in the infarct region. |
| 1801 | Liver parenchymal change after stereotactic radiotherapy for hepatocellular carcinoma using DWI and MRE | |
| Yoshie Omiya1, Utaroh Motosugi2, Hiroyuki Morisaka1, and Hiroshi Onishi1 | ||
1University of Yamanashi, Yamanashi, Japan, 2Kofu-Kyoritsu Hospital, Yamanashi, Japan |
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Stereotactic body radiotherapy (SBRT) is a treatment option for patients with hepatocellular carcinoma (HCC). It has been difficult to know radiation induced liver damage by SBRT using conventional imaging modalities. In this study, we evaluated the liver parenchymal changes after SBRT using two quantitative MR imaging; stiffness measurement with MR Elastography(MRE) and the apparent diffusion coefficient (ADC) values with DWI.Liver stiffness and ADC values were significantly elevated in both the liver parenchymal areas receiving large radiation dose (>30Gy) and small radiation dose(<15Gy). Liver stiffness and ADC values might be able to catch the substantial liver parenchymal changes after SBRT. |
| 1802 | Deuterium Metabolic Imaging of the human brain at 9.4 T: Coil design and dynamic glucose uptake | |
| Loreen Ruhm1,2, Nikolai Avdievitch1, Theresia Ziegs1,2, Armin M. Nagel3,4, Henk M. De Feyter5, Robin A. de Graaf5, and Anke Henning1,6 | ||
1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University, Tuebingen, Germany, 3Institute of Radiology, University Hospital Erlangen, Erlangen, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 6Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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DMI (Deuterium Metabolic Imaging) is a technique that enables the investigation of metabolic turnover rates along predefined pathways non-invasively. In this work, we present first DMI data from the human brain at B0 = 9.4T and an investigation of the dynamic glucose uptake in different areas of the human head for healthy volunteers and after the oral administration of [6,6’-2H]-glucose. We present a dedicated phased array coil design and 2H MRSI data with high spatial resolution for water, glucose, Glx and lipid/lactate. Finally, we compare the uptake curves for different regions in the human head. |
| 1803 | Low field 19F imaging of perfluoroctylbromide: eliminating chemical shift effects and minimizing scalar coupling signal loss | |
| Javad Parsa1 and Andrew Webb1 | ||
1Leiden University Medical Center, Leiden, Netherlands |
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Phantom 19F images have been obtained from perflurooctylbromide (PFOB) at very low magnetic field (2.15 MHz). The small spectral dispersion (in Hz) means that all fluorine nuclei contribute to the signal without chemical shift artifacts or the need for specialized sequences. Long turbo spin echo trains with short interpulse intervals and full 180o refocussing pulses suppress scalar coupling, leading to long apparent T2 values and highly efficient data collection. Overall, the detection efficiency of PFOB is actually higher than that of tissue protons at very low field. |
| 1804 | Triple-quantum-filtered Sodium MRI at 7T: Optimization of the Enhanced SISTINA Sequence Using FLORET k-space Trajectories | |
| Qingping Chen1,2,3, Wieland A. Worthoff1, and N. Jon Shah1,2,4,5 | ||
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany, 2Department of Neurology, RWTH Aachen University, Aachen, Germany, 3Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia, 4Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Germany, 5JARA - BRAIN - Translational Medicine, Aachen, Germany |
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It has been reported that enhanced SISTINA, one of the triple-quantum-filtered sodium MRI techniques, can selectively measure the distribution of restricted sodium, which may be sensitive to metabolic cellular dysfunction. In this work, the enhanced SISTINA sequence was optimized for 7T using FLORET, which has high k-space filling efficiency and good potential for undersampling. The optimized enhanced SISTINA sequence greatly improves the UTE image quality, while maintaining the multiple-quantum-filtered image performance and introducing incoherent randomness to the raw data. We believe the optimized enhanced SISTINA has promising potential for clinical applications with faster scans using compressed-sensing reconstruction in future. |
| 1805 | Development of an add-on 23Na MRI platform for an existing 1H MRI scanner using a crossband repeater: Proof-of-concept | |
| Michiru Kajiwara1, Tomoyuki Haishi2,3, and Yasuhiko Terada1 | ||
1Institute of Applied Physics, University of Tsukuba, Tsukuba, Japan, 2Department of Radiological Sciences, School of Health Sciences at Narita, International University of Health and Welfar, Narita, Japan, 3MRTechnology Inc., Tsukuba, Japan |
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23Na MRI provides novel information on energy metabolism, and there are growing expectations for its application in clinical MRI. However, implementation of 23Na MRI for existing 1H MRI systems requires expensive dedicated transceivers and RF coils for sodium imaging. Here, we have developed an add-on crossband repeater system that can acquire 23Na MRI signals simply by inserting it into the magnet’s bore of an existing 1H MRI, and proved this concept by phantom and in vivo mouse experiments. This add-on platform is applicable to other 1H MRI systems and will enhance the feasibility of 23Na MRI in clinical practice. |
| 1806
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High-Resolution Sodium Imaging Using Anatomical and Sparsity Constraints for Denoising and Recovery of Novel Features | |
| Yibo Zhao1,2, Rong Guo1,2, Yudu Li1,2, Keith R. Thulborn3, and Zhi-Pei Liang1,2 | ||
1Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, Urbana, IL, United States, 3Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States |
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Quantitative sodium MRI is a unique tool for assessing tissue viability noninvasively. A major obstacle to widespread clinical applications of sodium MRI is low sensitivity, which leads to low spatial resolution even with long scan times. We present a novel method for reconstruction of high-resolution sodium maps from noisy, limited k-space data. The proposed method has been validated using simulated and experimental data, producing high-SNR and high-resolution tissue sodium concentration maps. These high-resolution maps were also shown to improve the detection of tumor responses to radiation therapy. |
| 1807 | Three Dimensional Sodium Magnetic Resonance Fingerprinting using Irreducible Spherical Tensor Operator Simulations | |
| Fabian J. Kratzer1, Sebastian Flassbeck1,2,3, Sebastian Schmitter1,4, Tobias Wilferth5, Arthur W. Magill1, Benjamin R. Knowles1, Tanja Platt1, Peter Bachert1, Mark E. Ladd1, and Armin M. Nagel1,5 | ||
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Center for Advanded Imaging Innovation and Research, New York University, New York, NY, United States, 3Center for Biomedical Imaging, Dept. of Radiology, New York University, New York, NY, United States, 4Physikalisch Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 5Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen (FAU), Erlangen, Germany |
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Sodium relaxation times have been shown to be altered in several diseases. Hence, 2D sodium relaxometry using Magnetic Resonance Fingerprinting (23Na-MRF) was demonstrated recently as a proof of concept. In this work an extension to a 3D sequence is presented. Furthermore, a more complex signal model based on irreducible spherical tensor operators was investigated. The feasibility of simultaneous 3D quantification of T1, T2s*, T2l*, T2* and ΔB0 was demonstrated in phantom measurements. |
| 1808 | New tuHDC BST-BT Ceramics with Optimal Permittivity Greatly Improve B1 efficiency and SNR at Room Temperature for 17O MRSI Application at 10.5T | |
| Hannes Michel Wiesner1, Xiao-Hong Zhu1, Maryam Sarkarat2, Xin Li1, Matt Waks1, Michael T. Lanagan2, Qing X. Yang3, and Wei Chen1 | ||
1CMRR, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Engineering, Pennsylvania State College of Engineering, University Park, PA, United States, 3CNMRR, Department of Neurosurgery, Penn State University, Hershey, PA, United States |
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Recently we reported that the ceramics made of composite BST (Ba0.6Sr0.4TiO3) material have an extremely high tunability of relative permittivity when changing the ceramic temperature; and by cooling the ceramics to 14-15 °C, they provided the best improvement for 17O MRSI application at 10.5T, resulting in an optimal permittivity of ~6000. In this study, we developed new ceramic disks made of mixed Ba0.6Sr0.4TiO3 and BaTiO3 (BST-BT) materials to achieve the optimal permittivity at room temperature. The results indicate that unprecedented performance is possible for 17O MRSI application at 10.5T without the need of a temperature controller. |
| 1809 | A Dedicated RF Coil System for 19F MRI of Myocardial Infarction at a 3 T Clinical MRI System | |
| Ali Caglar Özen1,2, Felix Spreter1, Timo Heidt3, Constantin von zur Mühlen3, and Michael Bock1 | ||
1Deptartment of Radiology, Medical Physics, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany, 2German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Department of Cardiology and Angiology I, UHZ, University Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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Fluorine magnetic resonance imaging is a non-invasive background-free MRI approach to image infiltrating monocytes. The transfer of 19F MRI into large animals is needed for both method validation and the development of clinical applications. In this study, we have developed an 8 transmit/ 8 receive coil array tuned to 115.9 MHz (at 3 T) and developed a detachable 19F coil system for cardiac and thoracic MRI in pigs. |
| 1810 | Fast Fluorine Spectroscopic Imaging with pseudo-spiral k-space sampling | |
| Muhammed Yildirim1,2, Patrick Scholtz2, Markus Schütz2, Xenia Kovalyk2, Edwin Heijman2,3, Rolf Lamerichs3, Holger Grüll2, and Esin Ozturk Isik1 | ||
1Computational Imaging Lab, Institute Of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany, 3Philip Research Labs, Eindhoven, Netherlands |
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19F-MRI constitutes a viable platform for quantitative theranostics. However, being impaired by physiological absence, and complex NMR spectra of perfluorocarbons, for 19F-MR it is essential to achieve high imaging efficiency. This work introduces a novel spectroscopic imaging sequence, BaSSI, that resides on a balanced psuedo-spiral acquisition scheme and compares against 3D balanced UTE SSFP imaging, that has become the golden standard of fluorine imaging. The work, optimizes both sequences to their fullest, and tests their performance using miniscule samples of PFOB. |
| 1811 | Comparison of low rank compressed sensing with non-uniform undersampled non-linear FID fitting for time efficient 23Na TQTPPI measurements | |
| Simon Reichert1, Dennis Kleimaier1, and Lothar Schad1 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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This study demonstrates the feasibility of low rank compressed sensing and non-uniform undersampled non-linear FID fitting for time efficient sodium TQTPPI measurements. In simulations, undersampling factors of up to 5 resulted in less than 10% deviation from the ground truth for all parameters. This accuracy was confirmed in measurement data of agarose and protein samples. Hence, a measurement time reduction up to a factor of 5 is possible without significantly reducing the accuracy of the fit parameters. Thus, CS allows for time efficient TQTPPI measurements to investigate cellular processes as well as isolated sodium protein interactions. |
| 1812 | Interleaved 31P MRS and 1H dual-echo GRE B0 map pulse sequence for 7T Terra scanners | |
| Jabrane Karkouri1 and Christopher T. Rodgers1 | ||
1Wolfson Brain Imaging Center, University of Cambridge, Cambridge, United Kingdom |
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In this abstract, we demonstrate a framework for interleaving 1H imaging and 31P spectroscopy on the Siemens 7T Terra platform. We show that this can be done without making hardware modifications and demonstrate the concept with interleaved B0 map acquisition with 31P-MRS on a phantom and the quadriceps of a healthy volunteer. |
| 1813 | Three-Dimensional Sodium MRI Using A Rotation of Spiral Disc (RSD) Trajectory | |
| Kwan-Jin Jung1 and Brad Sutton1,2 | ||
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Electrical & Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Sodium MRI is challenging due to its low sensitivity and short T2 and hence a three-dimensional sequence with a spiral trajectory has been applied. The spiral trajectory was shortened in the TPI method by accelerating the span at the k-space origin using a radial start and then transiting into a spiral trajectory. This popular TPI method, however, requires a very high gradient slew rate when the 3D cone approaches the polar pole. This drawback has been resolved by rotating a two-dimensional disc filled with interleaved TPI trajectories. This method achieved the faster sweeping of TPI as well as a uniform gradient slew rate over the sphere sampling. We are reporting some artifacts in TPI-based scans not only in our study but also in other studies. |
| 1814 | Conserving low amplitude resonances in tensor rank truncation for image enhancement of spectroscopic imaging data. | |
| Alan J. Wright1, Richard Mair1,2,3, Anastasia Tsyben1, and Kevin M. Brindle1,3,4 | ||
1CRUK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 2Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 3Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, United Kingdom, 4Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom |
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Tensor decomposition can be used for denoising magnetic resonance spectroscopic imaging (MRSI) data by reconstructing the data from a small number of ranks. Selecting too low an order can remove data from the reconstruction and alter peak amplitudes. A condition for selection of rank order is proposed that removes only noise from the reconstructed data and, therefore, preserves signals from low amplitude resonances. Denoising algorithms that apply this condition are demonstrated for metabolic imaging data sets obtained with hyperpolarised [1-13C]pyruvate and [6,6-2H]glucose in preclinical cancer models, which improve signal-to-noise and reduce the Cramér-Rao lower bound errors in peak fitting. |
| 1815 | Variable Temporal Resolution Cartesian Sampling for Cell Tracking MRI | |
| Mark Armstrong1, Felix Freppon2, Enrica Wilken2, Max Masthoff2, Cornelius Faber2, and Dan Xiao1 | ||
1University of Windsor, Windsor, ON, Canada, 2Universität Münster, Münster, Germany |
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Individual iron oxide nanoparticle labelled immune cells can be visualized with a dynamic MRI image series. Time-lapse MRI can provide insights in the studies of inflammatory diseases and metastasis of cancer. The MRI temporal resolution can be improved by undersampling k-space. However, the optimal acceleration factor cannot be easily determined prior to experiments. Strategies have been proposed for non-Cartesian flexible retrospective undersampling, which may not be readily applicable for most users. We propose a Cartesian sampling scheme where undersampling ratio and temporal resolution can be chosen retrospectively. |
| 1816 | Single Loop Tri-frequency Surface Coil Design for 1H MRI and Interleaved Dynamic 2H and 17O MRS Applications at Ultrahigh Field of 16.4T | |
| Parker John Bresnahan Jenkins1, Guangle Zhang1, Wei Zhu1, Xiao-Hong Zhu1, and Wei Chen1 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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To capture anatomical information and dynamic changes of different metabolic activities in the brain or other organs using a singular RF coil, we developed a loop RF surface coil design with a wide tune-match isolation and active tune circuitry for proton ( 1H) MRI, and interleaved deuterium ( 2H) and oxygen ( 17O) MRS measurements at 16.4T. We obtained static 1H MRI and performed interleaved dynamic 2H and 17O measurements in phantom studies. Results showed proficient proton imaging and quasi-stable 2H and 17O signals with rapid acquisition, indicating the potential of the design for robust high temporal resolution metabolic and anatomical imaging applications. |
| 1817 | Parametric VARied Saturation (PaVARS) for enhanced CEST characterization of human brain at 3T | |
| Zhensen Chen1, Yishi Wang2, Le He1, Hanyu Wei1, Yibing Chen3, and Xiaolei Song1 | ||
1Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China, 2Philips Healthcare, Beijing, China, 3School of Information Science and Technology, Northwest University, Xi'an, China |
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Existing CEST methodologies suffer from low specificity in distinguishing various exchange species in tissue. To further utilize dependence of CEST spectra on saturation length (tsat), power (B1) as well as frequency, we setup a fast acquisition of Parametric VARied Saturation (PaVARS) in a 3T clinical scanner, by separating the seconds-long saturation preparation to 5-8 modules each followed by a low flip-angle readout. On phantoms of three metabolites and human brain, PaVARS enabled fast acquisition of multiple Zspectra, each weighted with different saturation length and power. PaVARS could be a ready-to-use, informative acquisition methods for better differentiation of endogeneous brain metabolites. |
| 1818 | Towards a Probabilistic Neurochemical atlas via parcellated approach using ZOOM MRSI | |
| Nicholas Farley1, Jaiyta Sood1, Antonia Susjnar2, Sean Lane3, Mark Chiew4, Michael Albert Thomas5, and Uzay Emir1,2 | ||
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 Psychological Sciences, Purdue University, West Lafayette, IN, United States, 4Welcome Center for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 5Department of Radiology, University of California Los Angeles, Los Angeles, CA, United States |
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To create a probabilistic Neurochemical atlas of the human brain via parcellated approach using ZOOM MRSI, in this study, we aim to quantify the test-retest reliability of the ZOOM MRSI by assessing the stability of the molecular contrasts of the posterior cingulate and cerebellum across two independent scan sessions and by quantifying the intra- and inter-rater reliability of the ZOOM MRSI scan. |
| 1819 | MRI contrast agent for myocardial infarction based on novel manganese-based nanoparticles | |
| Chengbin He1, Xiaoxuan Zhou1, Cailing Pu1, Jingle Fei1, Yan Wu1, and Hongjie Hu1 | ||
1Department of Radiology, Sir Run Run Shaw Hospital (SRRSH), Zhejiang University School of Medicine, Hangzhou, China |
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Gadolinium is a commonly used contrast agent for myocardial infarction during CMR examinations, but its nephrotoxicity and short examination time window limited its application to some extent. We try to develop new contrast agents with superior imaging performance and good biocompatibility, which can achieve clinical translation. |
| 1820 | MR detection of gas microbubbles via hyperCEST: a path toward a dual modality contrast agent | |
| Christian T McHugh1, Phillip G Durham2, Michele Kelley1, Paul A Dayton3, and Rosa T Branca1 | ||
1Physics & Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States |
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Gas microbubbles are capable of providing both ultrasound and MRI image contrast, but at differing concentration levels. In order for gas microbubbles to be detected by MRI at the clinical ultrasound dose, a more sensitive detection scheme must be employed. Here we demonstrate that hyperCEST is capable of detecting gas microbubbles at clinically relevant US concentrations, thus enabling their use as a dual modality contrast agent. |
| 1821 | Kartogenin and synthetic melanin nanoparticle loaded hydrogel scaffold for cartilage regeneration and monitored by quantitative MRI | |
| Chuyao Chen1, Shaoshan Huang2, Zelong Chen1, Chenggong Yan1, Yingjie Mei3, Yikai Xu1, and Rui Guo2 | ||
1Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Key Laboratory of Biomaterials of Guangdong Higher Education Institutes, Guangdong Provincial Engineering and Technological Research Centre for Drug Carrier Development, Department of Biomedical Engineering, Jinan University, Guangzhou, China, 3Philips Healthcare, Guangzhou, China |
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We have developed a KGN/SMNP loaded cell-therapy theranostic hydrogel scaffold for cartilage repair. The multifunctional hydrogel system is expected to be a tissue engineering strategy for cartilage regeneration and non-invasive monitoring by multiparametric MR imaging. |
| 1822 | Glycogen Synthesis and Glucose Utilization at 3T using Localized Spectroscopy and Chemical Shift Imaging | |
| Shun Kishimoto1, Jeffrey R Brender1, Jeeva Munasinghe2, Martin Lizak2, Yu Saito1, Kota Yamashita1, Otowa Yasunori1, Kazu Yamamoto1, James Mitchell1, and Murali C. Krishna1 | ||
1NIH/NCI, Bethesda,, MD, United States, 2NIH/NINDS, Bethesda,, MD, United States |
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Aberrant glycogen metabolism has been implicated in vitro as a possible causative factor in multiple disorders. Progress has been stymied due to the rapid degradation of glycogen post mortem and the lack of methods for measuring glycogen metabolism in vivo. We show here that glucose metabolism and local synthesis of glycogen can be measured in mice by short echo PRESS following a single bolus of unlabeled glucose using a standard 3T preclinical MRI using low rank reconstruction. Imaging of glycogen synthesis was possible at 9.4T by CSI, where it was found in mice to be centered on the olfactory bulb |
| 1823 | In vivo hijacking local activated macrophages for targeted theranostics of epilepsy with nanomedicines | |
| Lin Lin1,2, Xiaodan Chen3, and Pu-Yeh Wu4 | ||
1Fujian Medical University Union Hosptial, Fuzhou, China, 2Fudan University Huashan Hospital, Shanghai, China, 3Fujian Cancer Hospital, Fuzhou, China, 4GE Healthcare, Beijing, China |
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Epilepsy is closely linked to inflammation, oxidative stress, and hypoxia. The difficulty of accurate localization and targeted drug delivery to the lesion hinders the effective treatment. The local activated inflammatory cells offer a new opportunity for drug delivery to the lesion. Here, CD163 positive macrophages were first utilized as cell carriers after being hijacked by targeted albumin nanoparticles, which effectively delivered nanoparticles to the epileptic sites. Thus, accumulative nanoparticles enabled the visualization of the epileptogenic lesion though microenvironment-responsive MR-T1W imaging. Moreover, these manganese-based nanomaterials played a crucial role in protecting neurons from cell apoptosis mediated by oxidative stress and hypoxia. |
| 1983 | Ultrahigh-field echo-planar spectroscopic imaging with semi-adiabatic spatial-spectral pulses | |
| Gaurav Verma1, Rebecca Emily Feldman2, and Priti Balchandani1 | ||
1Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Medical Physics, University of British Columbia, Kelowna, BC, Canada |
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An echo-planar spectroscopic imaging sequence has been demonstrated incorporating semi-adiabatic band-limited refocusing (SABRE) pulses. The sequence simultaneously addresses two major obstacles to the implementation of high-resolution spectroscopic imaging at ultrahigh field: presence of B1 field inhomogeneity and aliasing due to bandwidth limitation in the spectral-spatial readout. Both bi-polar and flyback variants of the EPSI readout have been implemented in a user-selectable manner. An accompanying Matlab-based reconstruction has been developed which performs extraction and complete processing from raw data including eddy current compensation, phase reversal of even echoes in the bi-polar readout and removal of spurious points acquired during gradient switching. |
| 1984 | Double Spin Echo Spectroscopic Imaging Using Optimized 3D Spectral-Spatial Pulses for Brain Studies at 10.5T | |
| Xiaoxuan He1, Edward J. Auerbach1, Michael Garwood1, Naoharu Kobyashi1, Alireza Sadeghi‐Tarakameh1, Yigitcan Eryaman1, Xiaoping Wu1, and Gregory J. Metzger1 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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A parallel transmit optimized 3D spatial-spectral pulse is developed for spectroscopic imaging for brain studies at 10.5T with reduced SAR, intrinsic water suppression and field inhomogeneity mitigation. Phantom studies are used to compare the new method with a conventional approach. |
| 1985 | Simultaneous Water and Lipid Suppression Using Chemical Selective Adiabatic Refocusing Pulses Echo Planar Spectroscopic Imaging (EPSI) at 7T | |
| Guodong Weng1, Sulaiman Sheriff2, Claus Kiefer1, Irena Zubak3, Andrew A Maudsley2, and Johannes Slotboom1 | ||
1Institute for Diagnostic and Interventional Neuroradiology, Support Center for Advanced Neuroimaging (SCAN), University of Bern, Bern, Switzerland, 2Department of Radiology, University of Miami School of Medicine, Miami, FL, United States, 3Inselspital Bern and University Hospital, Bern, Switzerland |
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To tackle the chemical shift displacement artifacts (CSDA), B1-inhomoheneity, water and fat suppression as well as specific absorption-rate (SAR) limitation at 7T spectroscopy, an EPSI-variant sequence is developed in this study. The conventional slice-selective refocusing pulse is replaced by a spectral-selective adiabatic 2π-pulse pair. The results show a 77% reduction of CSDA, homogeneous refocusing map, water suppression factor ≥ 1000 within an acceptable SAR both in vitro and in vivo measurement. The scan time for the whole brain is within 8 minutes. This new EPSI-variant sequence shows its high application potential clinical routine. |
| 1986 | Atlas-based adaptive Hadamard-encoded Acquisition for Multiband 2D MRSI at 3T | |
| Huawei Liu1, Adam Autry1, Duan Xu1, Peder Larson1, and Yan Li1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Proton MR spectroscopy has been widely used for non-invasive assessment of brain metabolites. Metabolic alterations in the motor and sensory cortex, cingulate cortex and subcortical structures have been associated with pathology. It is desirable to acquire MRSI in these regions simultaneously with short scan time and sufficient SNR. We have developed a novel technique for simultaneous multiband 2D MRSI acquisition, which combines automated atlas-based prescription and adaptive Hadamard pulses. This technique helps to reduce prescription time, improve reproducibility and increase SNR efficiency. |
| 1987 | Potential of Dual-SPECIAL sequence in revealing interregional differences in human brain metabolite concentrations | |
| Masoumeh Dehghani1,2 and Jamie Near1,2 | ||
1McGill university, Montreal, QC, Canada, 2Centre d'Imagerie Cérébrale, Douglas Mental Health University, Montreal, QC, Canada |
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Previously, we demonstrated the feasibility of performing simultaneous MRS localization in two human brain regions using the dual-SPECIAL technique. Based on the SPin ECho, full Intensity Acquired Localized sequence, this approach yields simultaneous acquisition from two regions in combination with Hadamard encoding, reducing the acquisition time by half compared with serial acquisition. Here, we demonstrate that MRS acquisition using dual-Special sequence reveals significant differences in the ratio of tCho/tCr between anterior and posterior regions and higher concentration of several metabolites in regions with higher gray matter fraction. |
| 1988 | GOIA-WURST optimisation for ultra-high field single-voxel MRS at short-TE | |
| Adam Berrington1, Joseph S Gillen2,3, and Vincent Boer4 | ||
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 2Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, United Kingdom, 3F.M. Kirby Research Centre, Kennedy Krieger Institute, Baltimore, MD, United States, 4Danish Research Centre for Magnetic Resonance,Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark |
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Gradient modulated pulses allow for accurate slice localisation in single-voxel MRS. However, they suffer from ‘smearing’ artifacts at off-resonance leading to poor performance across the inversion band, particularly when B1 field strength is low. An optimized GOIA-WURST pulse shape was found by simulating changes in the modulation parameters to improve the off-resonance profile at 7T for B1 of 15 μT. When used in a semi-LASER localisation, the optimised GOIA(50,10) pulses resulted in a minimum TE of 23 ms which led to upright peak shapes for J-coupled multiplets in phantom. |
| 1989 | Spectral registration for real-time frequency correction of single-voxel GABA-edited MRS data: Proof of concept | |
| Mark Mikkelsen1,2, Steve C. N. Hui1,2, and Richard A. E. Edden1,2 | ||
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 |
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Offsets in B0 field frequency have a detrimental impact on the SNR, linewidth, and editing efficiency of edited 1H MRS data. We have previously described an interleaved water referencing (IWR) method for interspersed acquisition of the unsuppressed water signal to correct frequency drift at regular intervals. Here, we add to IWR a spectral registration (SR) approach for updating the center frequency every TR. Proof-of-concept results from phantom and in vivo experiments demonstrate that SR can be successfully combined with IWR for fully prospective correction of frequency offsets across the whole edited MRS scan. |
| 1990 | SLOW: Whole Brain Spectral Editing EPSI Based Technique using Chemical Selective Adiabatic 2π-Refocusing Pulses applied to 2HG and GABA Editing | |
| Guodong Weng1, Claus Kiefer1, Irena Zubak2, and Johannes Slotboom1 | ||
1Institute for Diagnostic and Interventional Neuroradiology, Support Center for Advanced Neuroimaging (SCAN), University of Bern, Bern, Switzerland, 2Department of Neurosurgery, Inselspital Bern and University Hospital, Bern, Switzerland |
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To overcome the B1+ inhomogeneities and SAR limitation for using MRSI-editing at UHT (≥7T), a new spectral editing scheme was developed within an EPSI sequence for whole brain MRSI. The slice-selective refocusing pulse was replaced by a chemical-selective adiabatic 2π-refocusing pulse pair with varying passbands. The results show an excellent glutamate, 2HG and GABA-editing pattern with in vitro and in vivo measurements. This study has shown the excellent performance of the proposed new spectral editing scheme, and proved that it could be an alternative method for MEGA editing. |
| 1991 | Long-TE mixed flip angle editing of GABA | |
| Sofie Tapper1,2, Muhammad G. Saleh3, Helge J. Zöllner1,2, Steve C.N. Hui1,2, and Richard A.E. Edden1,2 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, 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, 3Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States |
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The aim of this work was to investigate an alternative MRS approach for GABA editing. By performing a range of simulations, we found a long-TE scheme that reduces the influence of co-edited macromolecular signal without lower GABA losses than long-TE MEGA-PRESS. We termed this scheme ‘Mixed flip angle’ (MFA) editing, and validated the scheme with phantom measurements and a proof-of-principle in vivo measurement. Preliminary results show that longer-TE editing of GABA has the potential to increase selectivity by allowing for longer editing pulse duration, avoiding the need for symmetrical suppression of MM signals. |
| 1992 | Improved prospective frequency correction for macromolecule-suppressed GABA editing with metabolite cycling at 3T | |
| Kimberly Chan1, Andreas Hock2, Richard Edden3,4, Erin MacMillan5, and Anke Henning1,6 | ||
1The University of Texas Southwestern, Dallas, TX, United States, 2MR Clinical Science, Philips Health Systems, Horgen, Switzerland, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 6Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
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Macromolecule-suppressed GABA-editing with symmetrical suppression is often preferred over conventional GABA-editing due to its greater specificity. However, this pulse sequence is more sensitive to magnetic field instabilities than conventional GABA-editing. This leads to macromolecule contamination in the edited GABA signal. Here, we combine metabolite cycling with J-difference (MC-MEGA) editing to allow for prospective volume-localized frequency correction at each repetition time without the acquisition of additional water reference transients. We show here that prospective MC-MEGA reduces B0 field instability relative to intermittent prospective frequency correction with water suppressed (WS) MEGA and reduces macromolecule contamination and subtraction artifacts. |
| 1993 | Detection and quantification of NAD+ in the human brain at 3 T: Comparison of three different localization techniques | |
| Martyna Dziadosz1, Maike Hoefemann1, André Döring2, Malgorzata Marjanska3, Edward Auerbach3, and Roland Kreis1 | ||
1Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minnesota, MN, United States |
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The detection and quantification of Nicotinamide adenine dinucleotide (NAD+) was demonstrated to be challenging in 1H Magnetic Resonance Spectroscopy, due to its low concentration and reported polarization exchange with water. Frequency-selective excitation with slice-selective refocusing was proposed to prevent saturation-transfer from water. In this study we compare three techniques to access NAD+ quantification – standard WS semiLASER and two nWS (MC semiLASER and 2D I-CSE). NAD+ was detected with all techniques with a limited visibility for the WS semiLASER. While utilizing nWS concept allows to detect NAD+ at the visibility of 66%. |
| 1994 | Mapping of downfield resonances in the human brain using 1H-MRSI with binomial spectral-spatial excitation and selective refocusing | |
| Michal Považan1, Michael Schär1, Joseph S Gillen1,2, and Peter B Barker1,2 | ||
1Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Kennedy Krieger Institute, F. M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD, United States |
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Water suppression employed in 1H-MR spectroscopy affects signals of exchangeable protons that resonate downfield from water. We have developed a novel method without water suppression for mapping these resonances on a 3T scanner using 2D 1H-MRSI in combination with binomial spectral spatial excitation and selective refocusing. Acquired data were consistent across all scanned subjects and within the whole FOV, with spectral patterns in agreement with previous single voxel studies. |
| 1995 | Effect of digitization in gradient modulated adiabatic pulses with a spatial offset. | |
| Jan Willem van der Veen1 and Jun Shen1 | ||
1Magnetic Resonance Spectroscopy Core, NIH, NIMH, Bethesda, MD, United States |
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Spectroscopy on high field clinical scanners with limited RF amplitude suffer from large chemical shift artifacts with conventional pulses. Latest developments in adiabatic pulses with modulated gradients like GOIA-WURST pulses offer wide bandwidth at low RF amplitude. The modulated gradient however requires spatial offsets to be added to the phase modulation of the RF pulse. The additional phase offset may cause error due to insufficient digitization of the rapidly changing RF phase. We examined this effect on the voxel profile for two popular pulse parameter sets. |
| 1996 | Accelerate Magnetic Resonance Spectroscopy with Deep Low Rank Hankel Matrix | |
| Yihui Huang1, Jinkui Zhao1, Zi Wang1, Di Guo2, and Xiaobo Qu1 | ||
1Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China, 2School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China |
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Nuclear Magnetic Resonance (NMR) spectroscopy is regarded as an important tool in bio-engineering while often suffers from its time-consuming acquisition. Non-Uniformly Sampling (NUS) method can speed up the acquisition, but the missing FID signals need to be reconstructed with proper method.. In this work, we proposed a deep learning reconstruction method based on unrolling the iterative process of a state-of-the-art model-based low rank Hankel matrix method. Experimental results show that the proposed method provides a better approximation of low rank and preserves the low-intensity signals much better. |
| 1997 | Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain | |
| Joon Jang1, Hyeong Hun Lee1, Ji-Ae Park2, and Hyeonjin Kim3,4 | ||
1Department of Biomedical Sciences, Seoul National University, Seoul, Korea, Republic of, 2Division of Applied RI, Korea Institute of Radiological & Medical Science, Seoul, Korea, Republic of, 3Department of Medical Sciences, Seoul National University, Seoul, Korea, Republic of, 4Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of |
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The applicability of generative adversarial networks (GANs) capable of unsupervised anomaly detection (AnoGAN) was investigated in the management of quality of 1H-MRS human brain spectra. The AnoGAN showed potential in the detection of the spectra with poor SNR or abnormal NAA levels. Despite the fact that those spectra contaminated with ghost, residual water or lipid have never been involved in the training or optimization of the AnoGAN, they were successfully filtered out depending on the intensity of the artifacts. Our unsupervised learning-based approach could be an option in the spectral quality management in addition to the previous supervised learning-based approaches. |
| 1998 | SNR-Enhancing Reconstruction for Multi-TE MRSI Using a Learned Nonlinear Low-dimensional Model | |
| Yahang Li1,2, Zepeng Wang1,2, and Fan Lam1,2 | ||
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States |
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We report a new method for SNR-enhancing reconstruction of multi-TE MRSI data. Specifically, we designed a deep complex convolutional autoencoder (DCCAE) to learn a nonlinear low-dimensional model of the high-dimensional multi-TE spectra which allowed for effective separation of molecular signals and noise. A constrained reconstruction formulation is used to incorporate the learned model for denoising spatial-temporal reconstruction. The performance of the learned model and the proposed reconstruction method have been evaluated using both simulation and experimental multi-TE $$$^1$$$H-MRSI data. Results obtained demonstrate superior denoising performance achieved by the proposed method over alternative spatial-spectrally constrained denoising strategies. |
| 1999 | Highly accelerated variable-density MultiNet CAIPIRINHA for 1H MRSI and augmented MRSI neural network training | |
| Kimberly Chan1 and Anke Henning1,2 | ||
1The University of Texas Southwestern, Dallas, TX, United States, 2Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
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It has previously been shown that neural networks combined with variable k-space undersampling (MultiNet GRAPPA) is superior to a conventional GRAPPA reconstruction and is feasible at 7T. Here, MultiNet reconstruction of several new CAIPIRINHA-based variable-density k-space undersampling schemes is investigated. A new approach to train the neural networks (NN) by augmenting the MRSI data with the non-water suppressed (NWS) data to provide additional self-calibration training data is also introduced and evaluated. In this study, both are shown here to reduce lipid artifacts and improve metabolic maps at high acceleration factors relative to those previously proposed for MultiNet GRAPPA. |
| 2000 | k-Space-based Coil Combination via Geometric Deep Learning for Reconstruction of non-Cartesian MR Spectroscopic Imaging Data | |
| Stanislav Motyka1, Lukas Hingerl1, Bernhard Strasser1, Gilbert Hangel1, Eva Heckova1, Asan Agibetov2, Georg Dorffner2, and Wolfgang Bogner1 | ||
1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Wien, Austria, 2Section for Artificial Intelligence and Decision Support (CeMSIIS), Medical University of Vienna, Wien, Austria |
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A new coil combination method of non-Cartesian kspace MRSI data based on Geometric deep learning is introduced and compared to the conventional image-based coil combination. MRSI data were represented as a graph and a shallow neural network was used to solve the coil combination task. The training data were based on in vivo data and the performance of the network was tested on volunteer data, whose data were never shown to the network. The results were similar to conventional image-domain based coil combination. Thus, a highly accelerated online reconstruction is feasible with this method. |
| 2001 | Magnetic Resonance Imaging and Spectroscopy in Late-Onset GM2-Gangliosidosis | |
| Olivia E Rowe1, Rangaprakash Deshpande1, Akila Weerasekera1, Christopher Stephen2,3, Robert L Barry1,4, Florian Eichler3,5, and Eva-Maria Ratai1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Movement Disorders Division and Ataxia Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 3Center for Rare Neurological Diseases, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 4Harvard-Massachusetts Institute of Technology Health Sciences & Technology, Cambridge, MA, United States, 5Leukodystrophy Clinic, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States |
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Late-onset GM2-Gangliosidoses (LOGG) are rare lysosomal storage disorders with slowly progressing neurological symptoms that encompass late-onset Tay-Sachs disease (LOTS) and Sandhoff disease (LOSD). We performed sMRI-MRS to discern how cerebellar aberrations may relate to underlying metabolic abnormalities, and their relationships to clinical presentations. Results revealed that structural and metabolic differences between LOTS patients and controls were more prominent than the collective group of LOGG patients vs. controls. Significant clinical associations with imaging-markers also differed when LOTS patients were analyzed separately versus in conjunction with LOSD patients. While LOSD could not be accurately assessed, it appeared to be distinct from LOTS. |
| 2002 | The impact of Marchencko-Pasteur principal component analysis denoising on high-resolution MR spectroscopic imaging in the rat brain at 9.4T. | |
| Dunja Simicic1,2,3, Jessie Julie Mosso1,2,3, Thanh Phong Lê3,4, Ruud B. van Heeswijk5, Ileana Ozana Jelescu1,2, and Cristina Cudalbu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 3Laboratory of Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland, 4Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland, 5Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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MRSI is a powerful tool for the non-invasive simultaneous mapping of metabolic profiles at multiple spatial positions. This method is highly challenging due to low concentration of metabolites, long measurement times, low SNR, hardware limitations and need for advanced pulse sequences. Denoising based on singular value decomposition has been previously used, but determination of the appropriate thresholds that separate the noise from the signal is problematic leading to possible loss of spatial resolution. Aim of the present study was to implement an improved denoising technique (Marchenko-Pastur principal component analysis) on high resolution MRSI data acquired at 9.4T in the rat-brain. |
| 2003 | ORYX-MRSI: A data analysis software for multi-slice 1H-MRSI | |
| Sevim Cengiz1, Muhammed Yildirim1, Abdullah Bas1, and Esin Ozturk-Isik1 | ||
1Biomedical Engineering Institution, Bogazici University, Istanbul, Turkey |
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Oryx-MRSI is a fully automated software for a comprehensive analysis of multi-slice proton magnetic resonance spectroscopic imaging (1H-MRSI) data. Oryx-MRSI functionality includes chemical shift correction, segmentation, registration, cerebrospinal fluid (CSF) fraction corrected metabolite map generation, registration of metabolite maps onto MNI152 brain atlas, and ROI analysis for metabolite concentration and ratio estimation at brain parcellations defined by resting state fMRI. |
| 2004
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ProFit-v3: accuracy and precision evaluation of a new spectral fitting software | |
| Tamas Borbath1,2, Saipavitra Murali-Manohar1,2, Johanna Dorst1,3, Andrew Martin Wright1,3, and Anke Henning1,4 | ||
1High-field Magnetic Resonance, Max Planck Institute for biological Cybernetics, Tübingen, Germany, 2Faculty of Science, University of Tübingen, Tübingen, Germany, 3IMPRS for Cognitive & Systems Neuroscience, Tübingen, Germany, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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In this work, we present the newly developed MRS fitting software ProFit-v3, including adaptive baseline stiffness control and a newly proposed cost function calculation. ProFit-v3 was evaluated for accuracy and precision using both simulated and in vivo spectra, and the results were compared against LCModel. The adaptive spline baseline model of ProFit-v3 modelled different simulated baseline distortions well. The fitting accuracy measured on simulated data was slightly better for ProFit-v3 than for LCModel. While the fitting precision of ProFit-v3 was comparable to that of LCModel for the simulated data, LCModel proved to be somewhat more precise for in vivo spectra. |
| 2005 | Reproducibility and Coverage of Human Whole-brain 1H FID MRSI at 9.4 T after Processing Pipeline Optimization | |
| Theresia Ziegs1,2, Andrew Martin Wright1,2, and Anke Henning1,3 | ||
1MRZ, MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Tuebingen, Germany, 3Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Whole-brain data were acquired using a non-accelerated, non-lipid-suppressed and ultra-short echo time 1H FID-MRSI 2D multi-slice sequence at 9.4 T on human subjects. Data was reconstructed, retrospectively lipid suppressed and fitted including a relaxation corrected macromolecular basis spectrum. Metabolite concentration maps showing expected concentration differences between gray and white matter could be achieved with 89-97% coverage of the whole brain for tCr, tCho, NAA, Glu, and mI. A stack of 32 mm thickness covering the central part of the cerebrum yields anatomically correct maps for Gln, Tau, GABA, NAAG, and GSH. The data acquisition and reconstruction lead to reproducible results. |
| 2006 | Reproducibility of High-Resolution 1H-MRSI at 7T Using SPICE | |
| Pallab K Bhattacharyya1, Rong Guo2, Yudu Li2, Yibo Zhao2, Zhi-Pei Liang2, and Mark J Lowe1 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States, 2University of Illinois, Urbana, IL, United States |
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Subspace-based rapid high resolution MRSI technique SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation) was implemented on Siemens Magnetom 7T scanner. Reproducibility of SPICE at 7T with respect to metabolite measures was evaluated for phantom as well as in vivo scans with 3×3×3 mm3 spatial resolution. A phantom and a healthy subject were scanned twice during the same session, with the healthy subject being scanned on two different days. Strong scan-to-scan metabolite concentration correlations were observed in both phantom and in vivo scans. Good reproducibility was also demonstrated from Bland Altman analysis. |
| 2007 | Relaxation corrected simulated MM model for improved fitting and quantification of 1H FID MRSI data | |
| Andrew Martin Wright1,2, Saipavitra Murali Manohar1,3, Theresia Ziegs1,2, and Anke Henning1,4 | ||
1Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Tübingen, Germany, 3University of Tübingen, Faculty of Science, Tübingen, Germany, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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Short TE MRS and very short TR (TR < 300) MRSI are popular methods to capture snapshots of the neurochemical profile; however, these popular methods suffer from strong influence from underlaying macromolecular signals. This work shows a simulation method developed at 9.4T and extendable to other field strengths to account for macromolecule signals. The method developed is compared to three more commonly used methods of accounting for macromolecule signals. Results show improved metabolite mapping by use of simulated macromolecule basis vectors. |
| 2008 | Automatic phase order correction in challenging MR spectra | |
| Maria Yanez Lopez1,2 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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The aim of this work is to develop an automatic zero and first order phase order correction and apply it to challenging spectra, using an MRS LASER sequence at 3T |
| 2009 | Phase Correction in IDEAL-type Rapid Spectroscopic Imaging | |
| Nour EL SABBAGH1, Carine CHASSAIN1, Hélène RATINEY2, Guilhem PAGES1, and Jean-Marie BONNY1 | ||
1INRAE, AgroResonance, UR QuaPA, F-63122, Saint-Gènes-Champanelle, France, 2University of Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM Saint-Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F‐69621, Lyon, France |
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In IDEAL-type sequences, spectral selective pulses are done with an excitation frequency fe dependent on the slice position, and the acquisition is applied with a reception frequency fr. For a proper spectral study, the phase observed during the different evolution times of each shot (TE) has to be dependent only on the CS. A phase coherent fe-fr switch is applied throughout the pulse sequence. However, depending on the frequency commutation position, phase errors are accumulated, disturbing the CS study. This presentation elucidates the impact of the commutation's position and how to correct to resulting phase errors. |
| 2010 | Computation of Cramér-Rao Lower Bounds (CRLB) for spectral baseline shapes | |
| Kelley M. Swanberg1, Martin Gajdošík1, Karl Landheer1, and Christoph Juchem1,2 | ||
1Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 2Radiology, Columbia University Medical Center, New York, NY, United States |
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Cramér-Rao Lower Bounds (CRLB) are widely applied to characterize the minimum possible variance of metabolite amplitude parameters estimated by linear combination modeling. It has been argued that calculating the CRLB in the absence of baseline terms cannot adequately capture error but that the distribution of spectral baseline modeling parameters themselves cannot be sufficiently represented by this index. In this work we test the practical implications of these principles by treating baselines as linear combinations of polynomials to show that CRLB can under some circumstances offer precision estimates on spectral baseline shapes, notably to the improvement of metabolite CRLB accuracy. |
| 2011 | Accounting for bias in estimated metabolite concentrations from cohort studies as caused by limiting the fitting parameter space | |
| Rudy Rizzo1 and Roland Kreis1 | ||
1Department of Radiology and Biomedical Research, University of Bern, Bern, Switzerland |
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Potential problems arising from restricting the fitting algorithm in MR spectroscopy to a limited parameter space of physically meaningful values are investigated via Monte-Carlo approach and theoretical considerations. Three parameter-space configurations are compared to evaluate potential bias in the estimated mean cohort concentration for a simulated cohort study typical for conditions for MRS of hippocampus. The bias found for restrictions to positive concentration values can be ameliorated based on an estimate of the distribution width, e.g., based on Cramer-Rao bounds. Loosening parameter space restrictions can also eliminate bias while maintaining the benefit of parameter restrictions for the search algorithm. |
| 2012 | Data-driven bases optimization for fitting of in vivo MR spectra | |
| Alexander Saunders1,2 and Stefan Bluml1,2 | ||
1Radiology, Children's Hospital Los Angeles/USC, Los Angeles, CA, United States, 2Rudi Schulte Research Institute, Santa Barbara, CA, United States |
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In vivo MR spectra are commonly analyzed by fitting linear combinations of metabolite basis spectra. In this study we explored whether in vivo spectra themselves can provide information that can be used to further optimize basis spectra. Software was developed that includes the capability to modify basis spectra as part of the fitting procedure. The chemical shifts and J-couplings for myo-inositol were optimized by simultaneous fitting of high-quality spectra. |
| 2013 | The effect of basis sets on the analysis of in vivo brain MRS data obtained with standard PRESS sequences | |
| Martin Gajdošík1, Karl Landheer1, Kelley M. Swanberg1, Lawrence S. Kegeles2,3,4, Dikoma C. Shungu5, Camilo de la Fuente-Sandoval6,7, and Christoph Juchem1,4 | ||
1Department of Biomedical Engineering, Columbia University, New York City, NY, United States, 2Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York City, NY, United States, 3New York State Psychiatric Institute, New York City, NY, United States, 4Department of Radiology, Columbia University Medical Center, New York City, NY, United States, 5Weill Cornell Medicine, New York City, NY, United States, 6Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico, 7Department of Neuropsychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico |
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Point resolved spectroscopy sequence (PRESS) is the most commonly used sequence for in vivo magnetic resonance spectroscopy. While implemented by all major vendors, implementation details like timings, durations and shapes of the RF pulses differ among them. Here, we investigate the impact that inappropriate basis information can have on MRS metabolite quantification with linear combination modeling for quantification. |
| 2014 | Bayesian deep learning-based 1H-MRS of the brain: Metabolite quantification with uncertainty estimation using Monte Carlo dropout | |
| HyeongHun Lee1 and Hyeonjin Kim1,2 | ||
1Department of Biomedical Sciences, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of |
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Recently, deep learning showed its potential in the quantification of metabolites from 1H-MRS brain spectra. However, previously used standard convolutional neural networks (CNNs) do not provide measurement uncertainty. We investigated the Bayesian CNNs (BCNNs) with Monte Carlo dropout sampling for metabolite quantification with simultaneous uncertainty estimation. The high correlations between the ground truth errors and the BCNN-predicted uncertainty for the majority of the metabolites found in this study may support the potential application of the proposed method in deep learning-based 1H-MRS of the brain for metabolite quantification with simultaneous uncertainty estimation. |
| 2015 | Impact of training size on deep learning performance in in vivo 1H MRS | |
| Sungtak Hong1 and Jun Shen1 | ||
1National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States |
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Deep learning has found an increasing number of applications in MRS. Nevertheless, few studies have addressed the impact of training data size on deep learning performance. In this work, we used density matrix simulation to generate a very large training dataset (70,000 spectra). Then comprehensive comparison was performed to evaluate deep learning performance with different training data sizes. |
| 2016 | Application of Deep Leaning Model for Quality Control of Short-echo 7T MRSI with Various Disease Types | |
| Huawei Liu1, Emily Xie1, Helene Ratiney2, Michael Sdika2, and Yan Li1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Univ. Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Lyon, France |
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In this project, we adapted the model with various inputs combinations, such as using different tiles, including tissue information and magnitude spectra as additional channels. These variant models were trained and tested in a comprehensive cohort of in-vivo 7T MRSI datasets of various patient types. In our test, an AUC of 0.966 was consistently achieved for the multiple type datasets. |
| 2017 | Deep Learning Using Synthetic Data for Signal Denoising and Spectral Fitting in Deuterium Metabolic Imaging | |
| Abidemi Adebayo1, Keshav Datta2, Ronald Watkins2, Shie-Chau Liu2, Ralph Hurd2, and Daniel Mark Spielman2 | ||
1Mechanical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States |
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Deuterium metabolic imaging, a promising tool to probe in vivo glucose metabolism, is severely limited by SNR due to the low gyromagnetic ratio of 2H and the low concentration of metabolites. Recent advances in machine learning techniques to reduce noise is a promising option but obtaining training datasets with good SNR requires prohibitively long scan times. In this work we show that an autoencoder network trained using only synthetic data can reduce noise and provide a good spectral fit for in vivo 3T spectra obtained from human brain after ingestion of deuterated glucose. |
| 2018 | Deep Learning Based MRS Metabolite Quantification: CNN and ResNet versus Non Linear Least Square Fitting | |
| Federico Turco1, Irena Zubak2, and Johannes Slotboom1 | ||
1Institute of Diagnostic and Interventional Neuroradiology / SCAN, University Hospital Bern and Inselspital, University Bern, Bern, Switzerland, 2Neurosurgery, University Hospital Bern and Inselspital, University Bern, Bern, Switzerland |
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We present and compare two different deep CNN architectures, and VGG-like and an ResNet. We aim at performing metabolite quantification, and compare their performance to a NLLS-fitting algorithm (TDFDfit). We show the performance of the two AI algorithms in a set of 2 in vivo cases as well as in a brain tumor patient. We found that our ResNet outperform the CNN when predicting spatial distribution of metabolite concentration and showed a bigger correlation with the metabolites predicted by NLLS-fitting algorithm. |
| 2019 | Quantification of 2D-MRSI Datasets using Random Forest Regression Comparing to Prior Knowledge Based Spectral Fitting applied to Brain Tumors | |
| Brigitte Schweisthal1, Federico Turco1, Raphael Meier1, Irena Zubak2, and Johannes Slotboom1 | ||
1Neuroradiology / Support Center for Advanced Neuroimaging (SCAN), University Hospital and Inselspital, University Bern, Bern, Switzerland, 2Neurosurgery, University Hospital and Inselspital, University Bern, Bern, Switzerland |
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Robust spectral quantification is essential in clinical 1H-MRSI. A machine-learning technique to quantify 2D-MRSI data aiming to mimic prior-knowledge fitting of the data of glioma patients at 3T. A Random-Forest Regression method was applied on MRSI-data aiming at obtaining improved starting values for the NLLS-algorithm. Enhanced starting values can bring significant developments in the spectral fit quality in clinical 1H-MRS. Different noise levels were compared in order to verify and improve the fitting. Results indicate that this novel approach could increase fitting precision and eliminate possible errors caused by the using uniform starting values and improve method for MRSI-data quantification. |
| 2020 | In vivo Cerebellum MRSI reconstruction by domain-transform manifold learning | |
| Neha Koonjoo1,2,3, Adam Berrington4, Bo Zhu2,3,5, Uzay E Emir6,7, and Matthew S Rosen2,3,5 | ||
1Department of Radiology, A.A Martinos Center for Biomedical Imaging / MGH, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Department of Physics, Harvard University, Cambridge, MA, United States, 4Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 5Radiology, A.A Martinos Center for Biomedical Imaging / MGH, Charlestown, MA, United States, 6School of Health Sciences, Purdue University, West Lafayette, IN, United States, 7Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States |
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The recent advances of machine learning in MRSI have mainly been focused on predicting metabolite concentrations and denoising the metabolite-only spectra. Here, we present a deep neural network based on the AUTOMAP formalism to reconstruct metabolic cycle FIDs into the spectral domain. A density matrix formalism was used to generate up/down fields of 1H FIDs of 27 metabolites. B0 inhomogeneity was also included in the simulations. Non water-suppressed up/down field FIDs were fed to the trained network and the proposed reconstruction strategy was validated on simulated FIDs at different noise levels and on an in vivo cerebellum dataset at 3T. |
| 2021 | On the quantification of the striatum neurochemical profile using STEAM MRS: a comparison of 3T versus 7T in a cohort of elderly subjects | |
| Ana Gogishvili1,2, Christopher E. J. Doppler3,4, Ezequiel Farrher1, Aline Seger3,4, Michael Sommerauer3,4, Ketevan Kotetishvili2, and N. Jon Shah1,5,6,7 | ||
1Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany, 2Engineering Physics Department, Georgian Technical University, Tbilisi, Georgia, 3Institute of Neuroscience and Medicine 3, Forschungszentrum Jülich, Jülich, Germany, 4University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany, 5Institute of Neuroscience and Medicine 11, Forschungszentrum Jülich, Jülich, Germany, 6JARA BRAIN Translational Medicine, RWTH Aachen University, Aachen, Germany, 7Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany |
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The primary aim of this study is to quantify the neurochemical profile of the human striatum in vivo in healthy subjects, using data acquired with a single voxel STEAM MRS sequence at 3T and 7T in a case-control study on Parkinson’s disease. Given that the voxel sizes at both fields were different, we intend to ascertain the conditions under which the neurochemical profiles at 3T and 7T are comparable. To this end, we assessed different quantification methods and strategies, including correction for transverse and longitudinal relaxation and for differences in grey and white matter metabolite concentrations. |
| 2022 | The influence of spectral registration on diffusion-weighted magnetic resonance spectroscopy ADC estimates. | |
| Christopher W Jenkins1 | ||
1CUBRIC, Cardiff University, Cardiff, United Kingdom |
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Spectral registration is a powerful frequency and phase offset correction method. Diffusion-weighted MRS (dMRS) provides a particularly stern challenge for drift correction due to the lower SNR, varying lineshape, and increased gradient-induced frequency drift. Here, simulated data are used to examine spectral registration and its new robust iteration in the context of dMRS. The accuracy of these methods is examined across a broad range of SNR, and the effect they have on ADC estimates, investigated. |
| 2199 | Evaluation of a spectroscopy sequence using polychromatic refocusing to suppress J-modulation and measure lactate diffusion in the rodent brain | |
| Sophie Malaquin1, Eloïse Mougel1, Melissa Vincent1, and Julien Valette1 | ||
1Université Paris-Saclay, Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Fontenay aux Roses, France |
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Diffusion-weighted NMR spectroscopy allows non-invasive measurement of the diffusion properties of brain metabolites. Lactate is of particular interest but has low concentration thus requiring the development of new sequences to maximize signal-to-noise ratio. In this work, we compare a reference stimulated echo sequence and two spin echo sequences using either a broad pulse, or a selective polychromatic pulse suppressing J-modulation, by measuring the signal attenuation as a function of diffusion-weighting. Suppression of J-modulation with the polychromatic spin echo sequence leads to a significant signal gain and a better precision in lactate signal attenuation. |
| 2200 | In Vivo J-difference Editing of (Phosphoryl)ethanolamine | |
| Muhammad G Saleh1, Steve Hui2, Helge Zöllner2, and Richard A Edden2 | ||
1University of Maryland School of Medicine, Baltimore, MD, United States, 2The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Phosphorylethanolamine/ethanolamine (PE) serves as an important precursor for choline-containing compounds that are crucial for cell-membrane formation and maintenance. As such, PE can be influenced by pathways involving choline production in brain diseases that cause neuroinflammation. PE is also implicated in diseases that are known to cause neuronal damage. Therefore, PE may be a potential marker for investigating brain integrity. MEGA-PRESS, a spectral editing method, allows direct detection and in vivo measurement of PE. Here, we demonstrate the optimal editing of PE using MEGA-PRESS to facilitate unambiguous in vivo measurements of PE. |
| 2201 | Spectral quality of J-refocused spectroscopic imaging at 7T | |
| Jullie W Pan1, Victor W Yushmanov2, Chan H Moon3, Brian Soher4, Frank H Lieberman5, and Hoby P Hetherington2 | ||
1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2university of pittsburgh, pittsburgh, PA, United States, 3University of Pittsburgh, Pittsburgh, PA, United States, 4Radiiology, Duke University, Durham, NC, United States, 5Neurology, University of Pittsburgh, Pittsburgh, PA, United States |
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The J-refocused double spin echo sequence is applied at 7T using the 8x2 transceiver and demonstrated in the frontal-parietal and temporal lobe regions. Spectral quality parameters based on the Cramer Rao lower bound, linewidth and SNR are calculated and considered for multiplet and singlet compounds, finding that the variance in highly overlapped compounds such as myo-Inositol are more steeply dependent on spectral uncertainty compared with singlet compounds. With fast encoding methods, the J-refocused acquisition is achieved in clinically acceptable imaging times (<3min, single slice) and can detect abnormalities in Glutamine in brain tumor patients. |
| 2202 | Associations of tau aggregates and oxidative stress to apathy levels in progressive supranuclear palsy | |
| Kiwamu Matsuoka1,2, Yuhei Takado1, Kenji Tagai1, Manabu Kubota3, Yasunori Sano1, Keisuke Takahata1, Maiko Ono1, Chie Seki1, Hideki Matsumoto1,4, Hironobu Endo1, Hitoshi Shinotoh1, Jamie Near5, Kazunori Kawamura1, Ming-Rong Zhang1, Hitoshi Shimada1, and Makoto Higuchi1 | ||
1National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, 2Department of Psychiatry, Nara Medical University, Kashihara, Japan, 3Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan, 4Department of Oral and Maxillofacial Radiology, Tokyo Dental College, the city of Chiyoda-ku, Japan, 5Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montréal, QC, Canada |
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Apathy is characterized by lack of motivation. We investigated the mechanisms underlying apathy in progressive supranuclear palsy (PSP), which is characterized by tau aggregate accumulations causing oxidative stress in the brain. Using magnetic resonance spectroscopy and tau positron emission tomography, we found associations of apathy levels with glutathione levels in the posterior cingulate cortex (PCC), tau aggregate accumulation levels in the angular gyrus/PCC, and atrophy of the right inferior frontal gyrus and anterior cingulate cortex. The vulnerability of the anterior and posterior brain regions where apathy is related is suggested as possible underlying mechanisms for apathy in PSP. |
| 2203 | Sleep-Wake Lactate Dynamics in Human Brain | |
| Selda Yildiz1,2, Miranda M. Lim2,3,4,5,6, Manoj K. Sammi1,7, Katherine Powers1, Charles F. Murchison2,8, Jeffrey J. Iliff9,10,11,12,13, and William D. Rooney1,2,5,10 | ||
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, 4Department of Medicine, Division of Pulmonary and Critical Care Medicine, Oregon Health & Science University, Portland, OR, United States, 5Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States, 6Oregon Institute of Occupational Health Sciences;, Oregon Health & Science University, Portland, OR, United States, 7BENFRA Botanical Dietary Supplements Research Center, Oregon Health & Science University, Portland, OR, United States, 8Department of Biostatistics, University of Alabama, Birmingham, AL, United States, 9Department of Anesthesiology and Perioperative Medicine, Oregon Health & Science University, Portland, OR, United States, 10Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States, 11VISN 20 Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, United States, 12Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States, 13Department of Neurology, University of Washington, Seattle, WA, United States |
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This study describes a non-invasive combined magnetic resonance spectroscopy and polysomnography approach to measure brain metabolite levels together with simultaneous characterization of sleep or wake states. The results provide the first in-vivo demonstration of reductions in brain lactate concentration and diffusivity during sleep versus wakefulness in young healthy human brain. These findings are consistent with invasive small-animal studies showing the loss of extracellular lactate during sleep, and support the notion of altered lactate metabolism and/or increased glymphatic activity in sleeping human brain. |
| 2204 | Reduced fMRI activation in the fusiform face area is related to higher hallucination proneness and lower glutamate levels assessed by 1H MRS | |
| Ralf Mekle1, Jochen B. Fiebach1, and Heiner Stuke2 | ||
1Center for Stroke Research Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany, 2Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany |
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The neurophysiological and neurochemical alterations involved in the formation of hallucinations are not sufficiently understood. fMRI was used during a face detection task, and neurotransmitter levels in the visual cortex were measured by 1H MRS at 3T to elucidate processes involved in the false (hallucinatory) detection of faces in pure noise patterns. Increased hallucinatory face detections were related to decreased activation of the fusiform face area. In addition, decreased face-dependent activation was related to reduced glutamate levels. These findings substantiate theories of hallucinatory misperceptions, which implicate impaired glutamatergic transmission in a reduced ability to differentiate between meaningful information and noise. |
| 2205 | Simultaneous spectral and bi-exponential diffusion modeling of doubly motion-corrected human brain spectra with very high b-values | |
| Kadir Şimşek1, André Döring1,2, André Pampel3, Harald E. Möller3, and Roland Kreis1 | ||
1Department of Radiology and Biomedical Research, University of Bern, Bern, Switzerland, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Max-Planck Institution for Human Cognitive and Brain Sciences, Leipzig, Germany |
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Diffusion-weighted MRS was successfully applied at short TE with ultra-high b-values on a 3T Siemens Connectom system. Additional motion compensation based on macromolecule signals was implemented to complement water-signal-based motion compensation, especially at high b-values. By extending simultaneous fitting of interrelated datasets to a biexponential diffusion model, non-Gaussian diffusion behavior of metabolites can be established in a more rigorous fashion. Finally, also the definition of macromolecular background signals by diffusion rather than relaxation properties benefits from these more robust methods and the patterns can now be used as bases for quantification in clinical studies at short-TE. |
| 2206 | Rapid MRSI of the Brain on 7T Using Subspace-Based Processing | |
| Fan Lam1,2, Hoby Hetherington3, and Jullie Pan3 | ||
1Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States, 3Radiology, University of Pittsburgh, Pittsburgh, PA, United States |
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We present here a new method for rapid MRSI of the brain on 7T that combines fast rosette trajectories and subspace-based processing from the SPICE MRSI framework. Results from in vivo experiments demonstrated substantial improvement in spectral quality and SNR achieved by the subspace imaging method over the standard reconstruction of rosette MRSI data. The ability to obtain single-slice rapid MRSI of the brain with an only 1.1 min acquisition was also demonstrated using the subspace-based reconstruction. These results highlight the potentials of integrating subspace imaging and fast acquisitions to push the performance of ultrahigh-field MRSI. |
| 2207 | Echo-planar Spectroscopic Imaging with Readout-segmented COKE at 7T: Artifact Analysis using a Purpose-Built Phantom and Simulation | |
| Graeme A. Keith1, Amir Seginer2, David A. Porter1, and Rita Schmidt3 | ||
1Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland, 2Siemens Healthcare Ltd, Rosh Ha’ayin, Israel, 3Neurobiology Department, Weizmann Institute of Science, Rehovot, Israel |
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Echo-planar spectroscopic imaging (EPSI) is a fast method of acquiring metabolic information in the human brain. When applied at high-fields, such as 7T however, it suffers from limited spectral-width, as well as the inconsistencies between readout lines, seen at all field strengths, which lead to ghosts in the spectra. In this work, we present the readout-segmented COKE method, which removes the spectral-width limitation at 7T and provides a coherent phase evolution that avoids Nyquist artefacts in the spectra. Simulations and phantom scans are also presented, which seek to increase understanding of residual lipid contamination due to the readout-segmented spatial-encoding scheme. |
| 2208 | Whole Brain 3D-FIDESI-MRSI: Revisiting Free-Induction-Decay & Spin-Echo Readouts with Concentric Rings at 7 T | |
| Lukas Hingerl1, Wolfgang Bogner1, Bernhard Strasser1, Petr Bednarik1, Stanislav Motyka1, Eva Heckova1, Ivica Just1, Alexandra Lipka1, Ovidiu Andronesi2, Stephan Gruber1, Siegfried Trattnig1,3, and Gilbert Hangel1,4 | ||
1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, High Field MR Centre, Vienna, Austria, 2Department of Radiology, Massachusetts General Hospital, Martinos Center for Biomedical Imaging, Boston, MA, United States, 3Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 4Department of Neurosurgery, Medical University of Vienna, Vienna, Austria |
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3D-FIDESI-MRSI combines a free-induction-decay-readout with an echo-readout to permit the measurement of whole-brain lactate as an important tumor biomarker in approximately 40 min. This enables the acquisition of signals at short TE with reduced T2-weighting as well as spectra at long TE without lipid contamination. Sufficient SNR is ensured by a smaller and oversampled spherical k-space coverage for the echo-readout using fast concentric ring trajectories. A test in a healthy volunteer successfully demonstrates feasible mapping of the major metabolites. |
| 2209
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13C-Glucose Labeling Effects measured in the Occipital Lobe and the Frontal Cortex using short TE 1H MC-semiLASER SVS at 9.4T | |
| Theresia Ziegs1,2, Johanna Dorst1,2, and Anke Henning1,3 | ||
1MRZ, MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Tuebingen, Germany, 3Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Glutamate related metabolism can be measured considering the 13C labeling effects from an administered 13C labeled substrate by short TE 1H MRS spectra without the need for 13C channels, RF coils or scan software as required for direct 13C MRS or 13C edited 1H observed MRS. In this work, the labeling effects were followed in the frontal cortex and the occipital lobe using a short TE 1H MC-semiLASER sequence at 9.4T in healthy volunteers after oral intake of [13C-1]glucose. The spectral time series acquired show obvious 13C labelling related changes in the 1H observed Glu and Gln spectral pattern. |
| 2210 | Repeatability assessment of GABA and GSH concentrations with HERMES: a comparison between traditional analysis and a novel approach | |
| Diana Rotaru1, Georg Oeltzschner2,3, Richard Edden2,3, and David Lythgoe1 | ||
1Neuroimaging, King's College London, London, United Kingdom, 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 |
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Precise and accurate quantitation of GABA and GSH on 3T MR platforms is a great challenge in MR Spectroscopy. Despite this aspect, the reproducibility and repeatability of GABA and GSH measurements have been given little attention. In this study, test-retest repeatability was assessed for HERMES GABA and GSH estimates determined in LCModel using conventional single-spectrum analysis of Hadamard-reconstructed spectra (GABA difference, GSH difference and sum) and a novel analysis approach that models the Hadamard-reconstructed spectra simultaneously, hence using all spectral information acquired. The concatenated method allows simultaneous quantitation of GABA and GSH and provides comparable repeatability to traditional single-spectrum analysis. |
| 2211 | Constrained Optimized Water Suppression (COWS) for 1H Magnetic Resonance Spectroscopy | |
| Karl Landheer1, Martin Gajdošík1, and Christoph Juchem1,2 | ||
1Biomedical Engineering, Columbia University, New York City, NY, United States, 2Radiology, Columbia University, New York City, NY, United States |
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Water suppression is a necessary component to magnetic resonance spectroscopy experiments due to its roughly 5000-fold higher intensity than the metabolites of interest. Here we introduce a novel algorithm for water suppression which operates in a similar manner to that originally proposed by WET and expanded upon by VAPOR, but is flexible in that it can accommodate an arbitrary number of RF pulses, minimum duration between pulses, total module duration and maximum flip angles. This method is referred to as Constrained Optimized Water Suppression. We demonstrated the improvement of COWS over the gold standard VAPOR in simulations and in vivo. |
| 2212 | Feasibility of 1H-[13C] MRS of hippocampal and hypothalamic metabolism in the very same mouse with dynamic shim update (DSU) | |
| Hikari Yoshihara1, Nicolas Kunz2, and Hongxia Lei2,3 | ||
1EPFL-LIFMET, Lausanne, Switzerland, 2EPFL-CIBM, Lausanne, Switzerland, 3United-Imaging Co. Ltd, Wuhan, China |
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13C MRS of the very same mouse hippocampus and hypothalamus at 14.1T is feasible using dynamic shimming update |
| 2213 | Utility of Residual Water in Proton MR Spectroscopy. The Measurement of Voxel Temperature and Hypoxia | |
| Ralph E. Hurd1, Meng Gu1, Phil Adamson2, Kirk Riemer3, Ryan Beckman3, Michael Ma3, Kenichi Okamura3, Frank Hanley3, and Daniel Spielman1 | ||
1Radiology, Stanford, Stanford, CA, United States, 2Electrical Engineering, Stanford, Stanford, CA, United States, 3Cardiothoracic Surgery, Stanford, Stanford, CA, United States |
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The basic mantra for in vivo MR spectroscopy is to look beyond the dominant water and lipid signals. Although water is very well characterized by MRI, partially suppressed water can provide unique information in proton MR spectra. In the results presented, residual water-by-design strategy is demonstrated to extend beyond use as a reference. For the protocol described, water derived measurements of temperature and hypoxia, add critical value at no compromise. |
| 2214 | Mapping of differential metabolic regions of RRMS patients in multi-slices dimensional using Spiral-MRSI technique | |
| Oun Al-iedani1,2, Jeannette Lechner-Scott2,3,4, Rodney Lea2, Ovidiu Andronesi5, and Saadallah Ramadan2,6 | ||
1School of Health Sciences, University of Newcastle, Newcastle, Australia, 2Hunter Medical Research Institute, Newcastle, Australia, 3Department of Neurology, John Hunter Hospital, Newcastle, Australia, 4School of Medicine and Public Health, University of Newcastle, Newcastle, Australia, 5Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States, 6Faculty of Health and Medicine, University of Newcastle, Newcastle, Australia |
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The study designed a novel multi-dimensional metabolic mapping using multi-slice-spiral-MRSI with multi-voxel segmentation and differential metabolic regions(DMRs) techniques to demonstrate the true nature of NAWM and WM-lesions of RRMS patients,compared to HCs. 3D-spiral-MRSI covering majority of the brain in 16 RRMS and 13 HCs were used. Multi-slice-MRSI was processed using novel pipeline with DMRs classifications. Neurometabolic mapping of multi-DMRs revealed that(NAA/tCr) in WM-lesions was significantly lower than NAWM-MS and HCs,while (m-Ins/tCr) in WM-lesions were significantly higher than NAWM-MS and HCs. Multi-slice-spiral-MRSI coupled with DMRs may enhance a clinical monitoring of RRMS patients, and is sensitive in diagnosing NAWM in RRMS |
| 2215 | Metabolic Impact of Spontaneous Trigeminal Allodynia in Sprague-Dawley Rats: Implications for Migraine & other Neurological Disorders | |
| Samuel W. Holder1,2, Michael Graham Harrington3, 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, 3Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, CA, United States |
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Spontaneous Trigeminal Allodynia (STA) occurs within ~50% of male Sprague-Dawley rats, presents symptoms analogous to migraine and may be alleviated by migraine treatments. Relaxation-enhanced MRS implemented in the female rat thalamus at 21.1 T examined metabolic effects of STA using a nitroglycerin-injected model of migraine. It was found that STA generates glutamate/glutamine and limited lactate responses with even saline injection. However, the STA response is rendered negligible when given a conventional dose of 10-mg/kg nitroglycerin. Future spectroscopic examinations of neurological disorders, particularly those focused on excitotoxicity/neuroprotection, should account for this potential effect. |
| 2216 | 1H MRS biomarkers in spinocerebellar ataxia type 1 | |
| Kirsten Kapteijns1, Teije van Prooije1, Jack JA van Asten2, Bart van de Warrenburg1, and Tom WJ Scheenen2 | ||
1Dept of Neurology, Radboudumc, Nijmegen, Netherlands, 2Dept of Medical Imaging, Radboudumc, Nijmegen, Netherlands |
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Reliable biomarkers for SCA1 are necessary to reach trial-readiness. However, with small samples, it is important to interrogate the robustness of earlier biomarker findings. We performed single voxel 1H-MRS on 23 patients and 7 controls in the pons, cerebellar white matter, and vermis. Participants were evaluated on ataxia severity (SARA scale). Differences between groups showed alterations in tNAA, glutamate, and myo-Inositol. Negative correlations of tNAA with SARA could be found in all VOIs, and glutamate showed a negative correlation with SARA in the cerebellar WM. These findings are in line with earlier studies, and support the idea of MRS biomarkers. |
| 2217 | Examining the relationship between glutathione and post-traumatic headache in patients with persistent post-concussive symptoms | |
| Julie M Joyce1,2,3,4, Leah J Mercier2,4,5, Parker L La1,2,3,4, Tiffany Bell1,2,3, Julia M Batycky2,4,5, Chantel T Debert2,3,4,5, and Ashley D Harris1,2,3,4 | ||
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, 4Integrated Concussion Research Program, University of Calgary, Calgary, AB, Canada, 5Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada |
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Persistent post-concussive symptoms (PPCS) are debilitating symptoms that endure beyond the usual recovery period after concussion. Post-traumatic headache is one of the most common symptoms of concussion and its pathophysiology remains poorly characterized. Oxidative stress may contribute to the symptoms seen in PPCS patients. Here, we use edited magnetic resonance spectroscopy to investigate levels of the antioxidant glutathione in the anterior cingulate and sensorimotor cortices in adults with PPCS relative to controls. In the anterior cingulate—a critical hub in the default mode network—we found a significant positive correlation between glutathione and functional impact of headache in PPCS patients. |
| 2218 | 1H MR spectroscopic imaging for identifying diffuse abnormalities in mild traumatic brain injury: initial results from a reproducibility study | |
| Anna M Chen1, Teresa Gerhalter1, Seena Dehkharghani1,2, Rosemary Peralta1, Fatemeh Adlparvar1, Martin Gajdošík3, Mickael Tordjman1,4, Julia Zabludovsky1, Sulaiman Sheriff5, James S Babb1, Tamara Bushnik6, Jonathan M Silver7, Brian S Im6, Stephen P Wall8, Guillaume Madelin1, and Ivan I Kirov1,2,9 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 4Department of Radiology, Cochin Hospital, Paris, France, 5Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, United States, 6Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, United States, 7Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 8Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, United States, 9Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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We present initial results from a reproducibility study of 1H MRSI in mild traumatic brain injury. In line with previous investigations in a separate cohort, linear regression analysis revealed white matter differences between patients and controls, which persisted when comparing only non-recovered patients to controls. In contrast to previous findings, however, the differences were not in N-acetyl aspartate (NAA), but in the glial markers creatine (Cr), choline (Cho), and myo-inositol (mI). Correlations were found between metabolites and neuropsychological testing in grey matter (GM), and between metabolites and symptomatology in white matter (WM). |
| 2219 | Assessing the agreement between 3T and 7T MRS measures of in-vivo neurochemistry. | |
| Dana Goerzen1,2, Tiffany Bell3,4,5, Jamie Near1,2, and Ashley D Harris3,4,5 | ||
1McGill University, Montreal, QC, Canada, 2Centre d'Imagerie Cérébrale, Douglas Mental Health University Institute, Montreal, QC, Canada, 3Radiology, University of Calgary, Calgary, AB, Canada, 4Hotchkiss Brain Institution, Calgary, AB, Canada, 5Alberta Children's Hospital Research Institute, Calgary, AB, Canada |
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A key challenge in magnetic resonance spectroscopy in the human brain is assessing the reliability of metabolite concentration estimates, since the ground truth is generally unknown. This project assesses the correlations between 3T MRS metabolite measures against two “gold standard” 7T sequences as a means to assess which 3T sequences are the most reliable at detecting common metabolites of interest. This work will help researchers to make informed choices about which sequences to use for optimal detection of their metabolites of interest. |
| 2220 | Quantification of GABA in ultra-short TE 7-T human MR spectra | |
| Guglielmo Genovese1, Dinesh K. Deelchand1, Melissa Terpstra1, and Malgorzata Marjanska1 | ||
1Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN, United States |
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The goal of this abstract was to deepen the knowledge on the influence of LCModel fitting parameters and SNR on GABA quantification and on the sensitivity for detecting differences in GABA levels. To this aim, GABA concentrations were quantified using different LCModel approaches and different number of averages in synthetically altered spectra generated by adding synthetic GABA signal to in-vivo ultra-short TE, 7-T human spectra. |
| 2221 | Improving the B0 homogeneity in 7 T MRSI applications using a 24-channel local array of shim coils | |
| Philipp Lazen1, Sahar Nassirpour2, Paul Chang2, Lukas Hingerl1, Karl Rössler3, Siegfried Trattnig1,4, Wolfgang Bogner1, and Gilbert Hangel1,3 | ||
1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2MR Shim GmbH, Reutlingen, Germany, 3Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria |
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A 24-channel array of local shim coils in a 7 T Siemens Terra Fit was tested on eight healthy volunteers. Significant improvements of the homogeneity of the static magnetic field could be achieved and were qualitatively shown and quantitatively analyzed. The standard deviation of the resonance frequency decreased from 42.5 Hz for the standard shim (up to second order spherical harmonics) to 34.5 Hz for the 24-channel local shim array. The full width at half maximum and the signal to noise ratio also improved with the better shim. Lastly, some preliminary MRSI results could be gathered. |
| 2222 | Comparison of Semi-LASER and Short-TE STEAM Pulse Sequences for Cerebral Glucose Quantification via Detecting H1-α-Glucose Peak in 1H MRS at 7 T | |
| Hideto Kuribayashi1, Yuta Urushibata1, Thuy Ha Duy Dinh2, Hirohiko Imai3, Sinyeob Ahn4, Ravi Teja Seethamraju5, Tadashi Isa2, and Tomohisa Okada2 | ||
1Siemens Healthcare K.K., Tokyo, Japan, 2Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Kyoto University Graduate School of Informatics, Kyoto, Japan, 4Siemens Medical Solutions, Berkeley, CA, United States, 5Siemens Medical Solutions, Boston, MA, United States |
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Single voxel MRS pulse sequences of semi-LASER and short-TE STEAM were compared for cerebral glucose quantification via detecting H1-α-glucose peak at 5.23 ppm. Young healthy non-fasted subjects were scanned on a whole-body 7T MRI. Spectra were analyzed on LCModel and in-house MATLAB software. Semi-LASER (32-ms TE) detected the H1-α-glucose peak at posterior cingulate cortex (27-mL volume) with higher SNR (9.1 vs 5.1) than short-TE STEAM (5-ms TE) in shorter scan time (11 vs. 12.5 minutes), respectively, and estimated glucose concentration to be 1.26 mM. More robust water suppression techniques are required to stabilize baselines around the peak. |
| 2223 | 1H MRS of the Pediatric Brain Metabolism During Cardiopulmonary Bypass (CPB) Surgery | |
| Daniel Spielman1, Phil Adamson2, Ralph Hurd1, Meng Gu1, Kirk Riemer3, Ryan Beckman3, Michael Ma3, Kenichi Okamura3, and Frank Hanley3 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Cardiothoracic Surgery, Stanford University, Stanford, CA, United States |
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We used single-voxel 1H MRS at 3T to study acute brain metabolic changes during cardiopulmonary bypass (CPB) surgery in a neonatal piglet model, with the overall goal of determining optimal surgical parameters for minimizing brain injury. The recent improvements in proton spectroscopy and MR scanner performance allowed robust measurement of dynamic brain water and metabolic changes during hypothermia and circulatory arrest. Key findings include a linear relationship between unsuppressed water and brain temperature, observation of the theoretically predicted NMR “powder pattern” from intravascular water during hypoxia, and quantitative measurements of glucose, lactate, and phosphocreatine metabolic rates vs temperature. |
| 2224 | Macromolecule suppressed GABA levels show no relationship with age in children and adolescents | |
| Tiffany Bell1,2,3, Mehak Stokoe1,2,3, and Ashley 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 |
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Studies have shown that GABA+ increases with age during development, however roughly 50% of this signal reflects macromolecules. It is often assumed that macromolecule levels are stable, but there has been no attempt to directly validate this in youth. Here, we use a sequence specifically designed to suppress the macromolecule signal that contaminates the measured GABA+ signal when using MEGA-PRESS. We show no relationship between macromolecule-suppressed GABA and age in youth aged 7-14 years. We suggest increases in macromolecule levels may drive previously shown relationships between age and GABA+ levels, highlighting the importance of controlling for macromolecules in MRS analyses. |
| 2225 | Exploring Brain Metabolites in Pediatric Concussion: An A-CAP Study | |
| Parker L La1, Robyn Walker1, Julie M Joyce1, Tiffany Bell1, William Craig2, Quynh Doan3, Miriam Beauchamp4, Roger Zemek5, Pediatric Emergency Research Canada (PERC)6, Keith O Yeates7, and Ashley D Harris1 | ||
1Radiology, University of Calgary, Calgary, AB, Canada, 2Pediatrics, University of Alberta and Stollery Children's Hospital, Edmonton, AB, Canada, 3Pediatrics, University of British Columbia, Vancouver, BC, Canada, 4Psychology, University of Montreal and St Justine Hospital, Montreal, QC, Canada, 5Pediatrics and Emergency Medicine, University of Ottawa and Children's Hospital of Eastern Ontario, Ottawa, ON, Canada, 6Alberta Children's Hospital, Calgary, AB, Canada, 7Psychology, University of Calgary, Calgary, AB, Canada |
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Disruptions in brain metabolites following concussion are commonly reported in the literature. These studies often have different timings following injury, are limited to adults and have limited sample size. Using magnetic resonance spectroscopy (MRS), we show in the largest MRS in pediatric concussion study to date, that there are no group differences in metabolites between concussion and orthopedic injury at acute injury. Glx was associated with cognitive symptoms but no other metabolites showed a relationship with symptoms. No difference between groups may indicate that metabolic disturbance following injury may be a broad indicator of injury or alterations are regionally specific. |
| 2226 | Measurement of local values of cerebral pH in mild traumatic brain injury using 1H MR spectroscopy | |
| Peter Bulanov1, Andrei Manzhurtsev1,2, Petr Menshchikov3,4, Maxim Ublinskiy2,3, Ilya Melnikov2, Natalia Semenova1,2,3,5, and Tolib Akhadov2 | ||
1Lomonosov Moscow State University, Moscow, Russian Federation, 2Clinical and Research Institute of Emergency Pediatric Surgery and Traumatology, Moscow, Russian Federation, 3Emanuel Institute of Biochemical Physics of RAS, Moscow, Russian Federation, 4PHilips Healthcare, Russia, Moscow, Russian Federation, 5Semenov Institute of Chemical Physics of the Russian Academy of Sciences, Moscow, Russian Federation |
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The effect of mild traumatic brain injury (mTBI) on the values of the cerebral pH in the region of the posterior cingulate cortex was studied. pH was determined by analyzing the chemical shifts of mobile protons in the aromatic region of the spectrum of histidine, homocarnosine, resonating at ~7-8 ppm in PRESS spectra. According to our data, the pH value decreases by ~1% in posterior cingulate cortex after acute mTBI. |
| 2227 | The Correlation of Neurometabolites on Presentation of Post-Concussion Phenotypes | |
| Katherine Breedlove1, David R Howell2, Inga K Koerte3,4, Eduardo Coello4, Molly Charney4, Huijin Liao4, Corey Lanois5, and Alexander Lin4 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Childrens Hospital Colorado, Aurora, CO, United States, 3Ludwig-Maximilians-Universitat, Munich, Germany, 4Brigham and Women's Hospital, Boston, MA, United States, 5Boston Children's Hospital, Boston, MA, United States |
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A population of collegiate athletes was evaluated post-concussion for neurometabolic levels in the PCG by magnetic resonance spectroscopy (MRS) and Post-Concussion Symptom Scale (PCSS) following injury. Evaluations were conducted within 72 hours of diagnosed concussion with a follow-up two months after injury. Correlations between neurometabolic concentration and PCSS composite scores were explored. For the purpose of this work, focus was given to the concentrations and concentration ratios of total NAA (NAA+NAAG), total Glutamate (Glu+Gln), and Glutamate (Glu). The change in metabolites between the two time points was also computed. |
| 2228 | Hypoxia alters posterior cingulate cortex metabolism during a memory task: a 1H fMRS study | |
| Matthew Rogan1,2,3, Joseph B R Smith1,2,3, Alexander Friend3,4, Jamie H Macdonald3,4, Sam J Oliver3,4, Gabriella M K Rossetti5, Mark Mikkelsen6,7, Richard A E Edden6,7, and Paul G Mullins1,2,3 | ||
1School of Psychology, Bangor University, Bangor, United Kingdom, 2The Bangor Imaging Unit, Bangor University, Bangor, United Kingdom, 3The Extremes Research Group, Bangor University, Bangor, United Kingdom, 4School of Sport Health and Exercise Sciences, Bangor University, Bangor, United Kingdom, 5Centre for Integrative Neuroscience and Neurodynamics, University of Reading, Reading, United Kingdom, 6Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Our group has previously shown that exposure to environmental hypoxia reduces regional CBF within the posterior nodes of the default mode network. Within the same region, hypoxia also reversed the task evoked BOLD response. However, it is unclear what neurometabolic signals underlie this peculiar hemodynamic response to hypoxia. To investigate we employed event related functional MRS to measure the dynamic changes in neurometabolites within the posterior cingulate during hypoxia. We found that hypoxia negates the functional increase in glutamate as seen in normoxia, and induced a regional reduction in glucose. This observation suggests that hypoxia may reduce regional oxidative metabolism. |
| 2229 | Photoperiodic Regulation of hypothalamic metabolism : a preliminary single voxel Magnetic Resonance Spectroscopy investigation at 3T | |
| Nathalie Just1, Pierre-Marie Chevillard1, and Martine Migaud1 | ||
1NhyRVana, INRAE, Nouzilly, France |
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A proton MR Spectroscopy investigation of the sheep hypothalamus at 3T was proposed to compare the impact of photoperiodism on neurochemical profiles. Results showed transient metabolic changes as a function of time and significant differences between long days (LD) and short days (SD) demonstrating photoperiodic regulation of the metabolism of the hypothalamus. |
| 2230 | Hippocampal Single-Voxel MR Spectroscopy with Long Echo Time at 3 Tesla | |
| Martin Gajdošík1,2, Karl Landheer1, Kelley M. Swanberg1, Fatemeh Adlparvar2, Guillaume Madelin2, Wolfgang Bogner3, Christoph Juchem1,4, and Ivan I. Kirov2,5,6 | ||
1Department of Biomedical Engineering, Columbia University, New York City, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States, 3High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department of Radiology, Columbia University Medical Center, New York City, NY, United States, 5Department of Neurology, New York University Grossman School of Medicine, New York City, NY, United States, 6Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States |
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The hippocampus is one of the most challenging brain regions for proton MR spectroscopy (MRS) applications. Moreover, quantification of J-coupled species such as myo-inositol (m-Ins) and glutamate + glutamine (Glx) is affected by the presence of macromolecular background. Here we investigate the feasibility of reproducibly measuring their concentrations at long TE of 120 ms, using sLASER localization. |
| 2231 | Protective role of Creatine in chronic hepatic encephalopathy developing brain: in vivo longitudinal 1H and 31P-MRS study | |
| Dunja Simicic1,2,3, Katarzyna Pierzchala1,2, Olivier Braissant4, Stefanita-Octavian Mitrea1,2, Dario Sessa5, Valerie McLin5, and Cristina Cudalbu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 3Laboratory of Fuctional and Metabolic Imaging, EPFL, Lausanne, Switzerland, 4Service of Clinical Chemistry, University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland, 5Swiss Center for Liver Disease in Children, University Hospitals Geneva, Geneva, Switzerland |
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Type-C hepatic encephalopathy (CHE) is a complication of chronic liver disease (CLD). It is known that children are more affected by CLD than adult patients. Bile duct ligated rat (BDL) is a model of CLD-induced CHE. It was shown that rats having acquired CLD as pups display more profound neurometabolic disturbances than adults. Cr-treatment showed a positive effect in youngP21 BDL-rats resulting in less pronounced metabolic changes. Our aim was to test whether Cr-supplementation dampens the changes observed in CHE in a longitudinal model of CLD acquired in early childhood-P15 and if these changes are similar to those in P21-rats. |
| 2232 | Fast lipid removal with multi-scale auto-alignment in full-FOV MRSI. | |
| Peter Adany1, In-Young Choi1,2, and Phil Lee1,3 | ||
1Hoglund Biomedical 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 Radiology, University of Kansas Medical Center, Kansas City, KS, United States |
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The availability of robust lipid signal removal methods for whole slab MRSI opens up the possibility to measure signals from the edge of the brain, including cortical regions. We have developed a Fast LIpid signal Processing (FLIP) algorithm that effectively removes subcutaneous lipid signals. Recently, we have further developed our FLIP method to include a novel multi-scale auto-alignment feature at a sub-millimeter scale. This study demonstrates that the new alignment algorithm enables the detection of subtle displacement of subject head positions between scans and significantly improves the performance of lipid removal in full-FOV MRSI. |
| 2233 | On the repeatability and reproducibility of SPECIAL-based in-vivo spectroscopy with different adiabatic inversion pulses | |
| Layla Tabea Riemann1, Christoph Stefan Aigner1, Ralf Mekle2, Sebastian Schmitter1, Bernd Ittermann1, and Ariane Fillmer1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 2Center for Stroke Research Berlin, Charité Universitätsmedizin, Berlin, Germany |
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This work assesses the test-retest repeatability and reproducibility of spectral shapes and neurochemical profiles of the SPECIAL 1H MR spectroscopy sequence employing three different adiabatic pulses in-vivo at 7T: the standard hyperbolic secant pulse and two gradient-modulated pulses, namely a GOIA and a WURST pulse. Nine healthy volunteers were scanned four times each, with all three SPECIAL variants to establish three different repeatability or reproducibility measures and to evaluate the limits in the precision of the resulting metabolite quantification. |
| 2234 | Polarity Dependent Modulation of the Motor Region Using tDCS: A Proton MR Spectroscopy Study | |
| Rajakumar Nagarajan1, Anant Shinde2,3, Muhammed Enes Gunduz2,3, and Gottfried Schlaug2,3 | ||
1Human Magnetic Resonance Center, Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA, United States, 2Biomedical Engineering, University of Massachusetts Amherst, Amherst, MA, United States, 3Baystate Medical Center, University of Massachusetts Medical School, Springfield, MA, United States |
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We studied the effects of motor region tDCS on metabolite levels in a spectroscopic voxel with repeated episodes of 5min of constant current dose levels anticipating stimulation-induced alterations in metabolite concentration at rest. The cumulative change in GABA from before the first tDCS stimulation epoch to after the last epoch showed a significant polarity effect. The first tDCS epoch revealed polarity dependent opposite trends in GABA and Glx from baseline (before stimulation) to post-stimulation. This study provides insights into how tDCS leads to polarity dependent modulation of cerebral metabolites and might provide a model for future MRS stimulation studies. |
| 2235 | A time course of the glutamate+glutamine level in response to a short visual stimulus | |
| Alexey Yakovlev1,2,3, Andrei Manzhurtsev1,3, Petr Menshchikov3,4, Maxim Ublinskiy3, Tolib Akhadov1, and Natalia Semenova1,2,3 | ||
1Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russian Federation, 2N.N.Semenov Federal research center of Chemical Physics Russian Academy of Sciences, Moscow, Russian Federation, 3N.M. Emanuel Institute of Biochemical Physics RAS, Moscow, Russian Federation, 4Philips Healthcare, Moscow, Russian Federation |
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Changes in the concentration of neurotransmitters in response to a short (or event-related) stimulus in not well investigated. Due to low neurotransmitter cycle rates, these changes can be related to neurotransmitter release from vesicles. In this work, we measured a time course of Glx level in response to a short visual stimulus in a period exceeding the BOLD response using 3T MR scanner. This Glx level dynamic is considered as the release of Glu from the vesicles, reuptake, and refilling. For the first time, we investigated the dynamics of the BOLD-effect using the metabolic signal. |
| 2236 | Ultra-high field MR spectroscopic imaging at 7 Tesla in Multiple Sclerosis: myo-Inositol as early biomarker for MS pathologies | |
| Alexandra Lipka1,2, Eva Heckova1, Assunta Dal-Bianco3, Gilbert Hangel1, Bernhard Strasser1, Stanislav Motyka1, Lukas Hingerl1, Paulus Rommer3, Fritz Leutmezer3, Petra Hnilicová4, Ema Kantorová4, Stephan Gruber1, Siegfried Trattnig1,2, and Wolfgang Bogner1,2 | ||
1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Neurology, Medical University of Vienna, Vienna, Austria, 4Jessenius Faculty of Medicine in Martin, Comenius University, Bratislava, Slovakia |
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Routine T1/T2-weighted magnetic resonance imaging (MRI) is the method of choice for diagnosis and treatment monitoring of Multiple Sclerosis (MS), but is not being able to map the underlying pathological processes. In contrast to T1/T2-lesions which represent the general macroscopic tissue damage, MR Spectroscopic Imaging (MRSI) can detect pathologies on a biochemical level. In 54 relapsing-remitting (RRMS) patients and 16 healthy age/sex-matched controls, we show - enabled through ultra-high resolution Free Induction Decay(FID)-MRSI at 7T - the metabolic distribution within lesions and their close proximity as well as the importance of myo-Inositol as an imaging biomarker in early lesion development. |
| 2237 | Ultra-high field MR spectroscopic imaging at 7 Tesla in Multiple Sclerosis: metabolic fingerprinting of iron rim lesions | |
| Alexandra Lipka1,2, Wolfgang Bogner1,2, Assunta Dal-Bianco3, Gilbert Hangel1, Bernhard Strasser1, Stanislav Motyka1, Lukas Hingerl1, Paulus Rommer3, Fritz Leutmezer3, Stephan Gruber1, Siegfried Trattnig1,2, and Eva Heckova1 | ||
1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Neurology, Medical University of Vienna, Vienna, Austria |
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Conventional T1/T2-weighted magnetic resonance imaging (MRI) is the method of choice for diagnosis and treatment monitoring of Multiple Sclerosis (MS). Susceptibility weighted imaging (SWI) provides additional information about iron deposition. In addition to these imaging modalities, MR Spectroscopic Imaging (MRSI) can detect pathologies on a biochemical level. In 32 relapsing remitting (RRMS) patients, we showed - with ultra-high spatial resolution Free Induction Decay(FID)-MRSI at 7T - the metabolic changes associated with different types of iron accumulation and the metabolic gradient spanning from within the lesion to its close proximity. |
| 2238 | Compression of Multivoxel Spectroscopic Data via Visualization of Grey and White Matter Contributions to Metabolite Concentrations | |
| Wufan Zhao1, Eduardo Coello1, Marcia Sahaya Louis1, Katherine Breedlove1, Assaf Tal2, and Alexander Lin1 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel |
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This work introduces a novel way to analyze MR spectroscopic imaging scans by characterizing grey matter and white matter tissue types based on their contributions to metabolite concentrations. This method extracts grey matter and white matter components from anatomical images after tissue segmentation and correlates them with relative metabolite concentrations. The value of the method is shown in visualizing different metabolic profiles for grey and white matter and establishing ranges of metabolite contribution. |
| 3831 | The relationship between hepatic and pancreatic steatosis and cardiometabolic risk factors | |
| Qin-He Zhang1, Li-Zhi Xie2, and Ai-Lian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2MR Research, Beijing, China |
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This study assessed the correlation between hepatic and pancreatic steatosis and cardiometabolic risk factors. The results showed that hepatic and pancreatic FF were associated with specific risk factors, and the correlation coefficient varied by sex. This plays an important role in our further understanding about the association between ectopic fat deposition and cardiometabolic risk factors. Hepatic and pancreatic steatosis might have important implication for prevention cardiometabolic risk factors. |
| 3832 | Cardiac MRI detects a reduced volume and anti-inflammatory fatty acid composition of epicardial adipose tissue in eplerenone-treated obese mice | |
| Soham A Shah1, Brent French1, Matthew Wolf1, and Fred Epstein1 | ||
1University of Virginia, Charlottesville, VA, United States |
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Epicardial adipose tissue (EAT) volume and fatty acid composition (FAC) have significant roles in EAT-mediated coronary vascular inflammation. Using MRI of EAT volume and FAC, we tested the hypothesis that eplerenone reduces EAT volume and alters its FAC in a mouse model of obesity. We show that eplerenone significantly reduces EAT volume after 30 weeks on a high-fat high-sucrose diet compared to untreated mice. In addition, the EAT FAC is shifted from saturated fatty acid dominant in untreated mice to poly-unsaturated fatty acid dominant in eplerenone-treated mice. The results suggest that eplerenone has an anti-inflammatory role in obesity-related EAT. |
| 3833 | Deflazacort & prednisone/prednisolone treatment in Duchenne muscular dystrophy: Disease trajectory differences modeled using MR biomarkers | |
| Ishu Arpan1, William D Rooney1, Rebecca J Willcocks2, Alison M Barnard2, Sean C Forbes2, William T Triplett2, Eric Baetscher1, Michael J Daniels2, Glenn A Walter2, and Krista Vandenborne2 | ||
1Oregon Health & Science University, Portland, OR, United States, 2University of Florida, Gainesville, FL, United States |
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Duchenne muscular dystrophy (DMD) is a genetic disease characterized by rapidly progressing weakness and degeneration of the skeletal muscles. This study presents a modeling approach using MR biomarkers to characterize disease progression in individuals with DMD receiving deflazacort, prednisone/prednisolone, or no corticosteroid treatment. The findings from a sample of convenience compiled from the ImagingDMD study demonstrate that 1) corticosteroid treatment slows DMD disease progression, with deflazacort slowing progression to a greater extent than prednisone/prednisolone, and 2) the slow-progressing muscles in DMD are more sensitive to treatment effects, and hence, could be better candidates to assess therapeutic response in clinical trials. |
| 3834 | Cardiac and Hepatic Metabolism Modulation using L-carnitine injection: 1H Magnetic Resonance Spectroscopy Study | |
| Dragana Savic1, Ferenc E. Mózes1, Matthew K. Burrage1, Leanne Hodson1, Stefan Neubauer1, Michael Pavlides1, Damian J. Tyler1, and Ladislav Valkovic1 | ||
1University of Oxford, Oxford, United Kingdom |
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This study investigated the in vivo effects on acetylcarnitine levels in the heart and the liver after an injection of L-carnitine. Carnitine acts as a buffer of acetyl-CoA units in the mitochondria, as well as facilitating transport of fatty acids. We show that an injection of L-carnitine can alter cardiac lipid levels in the in vivo healthy human. However, even though L-carnitine injection shows high cardiac variability in acetylcarnitine levels, hepatic variability of acetylcarnitine levels were reduced. Further studies are needed to confirm the dose and time-frame of a response in acetylcarnitine levels after L-carnitine injections. |
| 3835 | MRI-Based Fat Fraction of Psoas and Puborectalis Muscle Increases with Severity of Rectal Prolapse | |
| Jonathan Philip Lam1, Leila Neshatian2, Brooke Gurland3, and Vipul Sheth4 | ||
1Radiology, Stanford University, Palo Alto, CA, United States, 2Gastroenterology, Stanford University, Palo Alto, CA, United States, 3General Surgery, Stanford University, Palo Alto, CA, United States, 4Stanford University, Palo Alto, CA, United States |
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Pelvic floor disorders (PFDs) are a very common group of clinical conditions that affect nearly 50% of women aged 80 years or older. While pelvic floor disorders are thought to be associated with pelvic floor muscle weakness, there has not been an established correlation between sarcopenia and PFDs. This single institution, retrospective study evaluates the effect of decreased muscle quantity/quality on severity of pelvic organ prolapse. Our findings suggest increased psoas and puborectalis muscle fat fraction are associated with higher grades of pelvic organ prolapse. |
| 3836 | Natural abundance deuterium MRS of the human calf and T1 measurements with a surface coil at 3 T | |
| Robin A. Damion1,2,3, Daniel J. Cocking3,4, Brett Haywood3,4, Matthew S. Brook2,5,6, Paul L. Greenhaff2,5,6, Philip J. Atherton1,2,5, Dorothee P. Auer1,2,3, and Richard Bowtell2,3,4 | ||
1School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research Facilities, University of Nottingham, Nottingham, United Kingdom, 3Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 4School of Physics & Astronomy, University of Nottingham, Nottingham, United Kingdom, 5MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, United Kingdom, 6School of Life Sciences, University of Nottingham, Nottingham, United Kingdom |
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Deuterium spectra of the human calf were obtained at natural abundance, at 3 T field strength. Two peaks with a chemical shift separation of 3.5 ppm were observed, corresponding to water and lipids, and their relaxation times T1 and T2* were measured using a transceive surface coil. Utilising the complex data to fit spectral lines, including independent phases for each peak, and fitting the complex inversion-recovery data enabled measurements of T1 which could be frustrated by inversion-time-dependent phases caused by RF imperfections. The results indicate that such measurements in humans are possible despite the low natural abundance of 2H. |
| 3837 | Characterization of the triglyceride fatty acid composition and adipocyte size in human adipose tissue using SHORTIE STEAM: in vitro validation | |
| Stefan Ruschke1, Julius Honecker2, Dominik Weidlich1, Claudine Seeliger2, Olga Prokopchuk3, Josef Ecker4, Marcus R. Makowski1, Hans Hauner2, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Else Kröner Fresenius Center for Nutritional Medicine, Technical University of Munich, Freising, Germany, 3Department of Surgery, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Munich, Germany, 4ZIEL Institute for Food & Health; Research Group Lipid Metabolism, Technical University of Munich, Freising, Germany |
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Short-TR multi-TI multi-TE (SHORTIE) STEAM is a promising technique for the characterization of adipose tissue since it allows the non-invasive simultaneous probing of triglyceride fatty acid composition and triglyceride T1- and T2-relaxation times. The present in vitro study of human adipose tissue aims at the validation of the SHORTIE-assessed triglyceride fatty acid composition with gas chromatography–mass spectrometry and investigates potential correlations of the triglyceride relaxation properties with adipocyte cell size from histology. |
| 3838 | Early Detection of Increased Marrow Adiposity with Age Using Z-Spectral MRI | |
| Zimeng Cai1,2, Quan Tao1,2, Alessandro Scotti3,4, Peiwei Yi1,2, Yanqiu Feng1,2, and Kejia Cai3,4 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China, 2Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China, 3The Department of Radiology and Bioengineering, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States |
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To investigate the capability of Z-spectral magnetic resonance imaging (ZS-MRI) for the quantification of marrow adipose tissue (MAT) content in rat’s lumbar spine and to monitor the MAT changes due to age. First, three sets of water-oil mixed phantoms prepared with varying fat fractions (FF) were scanned and the quantification results were compared to 1H-MRS and Dixon’s MRI methods. Then, ZS-MRI was used to longitudinally monitor the adiposity in the lumbar spine of healthy-young rats at 13, 17 and 21 weeks along with 1H-MRS and Dixon’s MRI. The changes over time in FF of MAT were confirmed by histology staining. |
| 3839 | Healthy human aging and sex dimorphism in bone-muscle cross talk: a 1H MRS investigation in bone marrow and muscle of legs. | |
| Silvia Capuani1,2, Roberto Coccurello3, Riccardo De Feo4, Lorenzo Rossi5, Giulia Tuttobene5, Emanuele Agrimi5, Clelia Raso5, Federico Giove2,4, and Umberto Tarantino6 | ||
1Physics Dpt Sapienza, CNR ISC, Rome, Italy, 2Santa Lucia foundation, Rome, Italy, 3CNR ISC, Rome, Italy, 4Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Rome, Italy, 5Physics Dpt., Sapienza University, Rome, Italy, 6Tor Vergata University, PTV, Rome, Italy |
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Aim of this study was to identify relevant changes in the metabolic profile of bone-marrow and muscle during healthy aging in both men and women. Towards this goal, single-voxel MRS with STEAM at TE=6ms and T2 evaluation of each resonance was performed. Bone-marrow fatty-acids quantification show a clear sex dimorphism with normal aging while no significant differences were found in the muscle metabolites of female and male subjects. On the other hand, metabolite-T2 values were different in male and female resonances and significant T2 differences among 36+, 36-52 and 52+ group, finding higher T2 in older group were observed. |
| 3840 | The relationship between preperitoneal fat and liver and pancreatic steatosis | |
| Qin-He Zhang1, Li-Zhi Xie2, and Ai-Lian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2MR Research, Beijing, China |
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This study assessed the correlation between preperitoneal fat and hepatic and pancreatic steatosis. The results showed that hepatic FF and pancreatic FF were strongly associated with preperitoneal fat fraction and area. This plays an important role in our further understanding of fat distribution and ectopic fat deposition. |
| 3841 | Noninvasive in vivo assessment of liver fat on a mouse model of diet-induced fatty liver disease using 3-Tesla MRI. | |
| Orlando Aristizabal1, Lakshmi Arivazhagan1, AnnMarie Schmidt1, Edward A Fisher 1, Kathryn Moore1, and Youssef Zaim Wadghiri1 | ||
1NYU Grossman School of Medicine, New York, NY, United States |
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Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease in the Western The development of preclinical mouse models is essential in the development of virtual biopsy protocols to assess the essential features of NAFLD. In this report we have examined the feasibility of visualizing and mapping the fat fraction in mice under 2 high fat diets and one control diet using a preclinical 3-Tesla MRI with a RARE-Dixon sequence. We show that at 3T fat and water can be separated and percentage maps show a 23% and 39% increase in liver fat over the control mouse. |
| 3842 | Evaluation of mDIXON Quant imaging in the assessment of disease activity in Thyroid-associated Ophthalmopathy（TAO） | |
| Gang Liu1, Rongrong Zhu2, Ruoshui Ha2, and Xiuzheng Yue3 | ||
1People’s Hospital of Fuyang, Fuyang, China, 2People’s Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 3Philips Healthcare, Beijing, China |
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To prospectively study the changes of adipose content, adipose tissue edema and fibrosis in the orbit of Thyroid-associated ophthalmopathy (TAO) by mDixon-Quant imaging and investigate their application to TAO activity assessment. The result showed T2* values may be a promising marker for assessing the activity of TAO. |
| 3843 | Fat Fraction Quantification in TSE based 2-point Dixon Acquisition: Application to Whole-body MRI | |
| Sheng-Qing Lin1, Sebastian Fonseca1, Durga Udayakumar1, Neela Batthula1, Ivan E. Dimitrov2,3, Ivan Pedrosa1, and Ananth J. Madhuranthakam1 | ||
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 3Philips, Dallas, TX, United States |
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Mapping fat fraction (FF) has been proposed as a biomarker of treatment response in multiple myeloma. Whole-body imaging using 2-point Dixon methods offer efficient acquisitions but may suffer from less accurate FF quantification than multi-echo Dixon. Using our previously developed whole-body MR sequence with 2-point turbo spin-echo (TSE) Dixon, we generated accurate FF maps using with a fat masking algorithm. Results from a fat-water phantom and in vivo images show that 2-point TSE-Dixon with the fat masking algorithm performed comparably to multi-echo Dixon, facilitating accurate FF maps in whole-body MRI. |
| 3844 | Three-Point Dixon Abdominal Water/Fat Separation using a Lower-Field 0.75T MRI | |
| Christian Guenthner1, Hannes Dillinger1, Peter Boernert2,3, and Sebastian Kozerke1 | ||
1University and ETH Zurich, Zurich, Switzerland, 2Philips Research, Hamburg, Germany, 3Leiden University Medical Center, Leiden, Netherlands |
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Water/fat separation can be performed by exploiting chemical shift, which is proportional to field strength. Hence, on lower-field MRI systems (0.1 … 1T), the absolute resonance frequency difference is reduced compared to clinical high-field MRI, raising the question if water/fat separation can still be reliably performed despite the proximity of the resonances. In this work, we examined the feasibility of Dixon-type water/fat separation in the abdomen on a 0.75T lower-field MRI system. We show that Cartesian multi-acquisition and multi-echo as well as spiral multi-acquisition sequences provide reliable water/fat separation despite the reduced water/fat resonance shift of approximately 108 Hz. |
| 3845 | Improved Efficiency of Free-Breathing Stack-of-Radial MRI for Liver Fat and R2* Quantification Using Accelerated k-space Shift Calibration | |
| Xiaodong Zhong1, Tess Armstrong2,3, Chang Gao2,3, Marcel Dominik Nickel4, Fei Han1, Brian Dale5, Holden Wu2,3, Peng Hu2,3, and Vibhas Deshpande6 | ||
1MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 2Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 3Physics and Biology in Medicine Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, United States, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Cary, NC, United States, 6MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Austin, TX, United States |
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For liver proton density fat fraction (PDFF) and R2* quantification, free-breathing three-dimensional stack-of-radial MRI may perform a calibration scan for k-space shift correction. This study proposes an accelerated k-space shift calibration method. The proposed method was validated in a PDFF/R2* phantom with vendor-provided ground truth. Preliminary in vivo results demonstrated good agreement in the liver PDFF/R2* compared to the reference breath-hold Cartesian MRI. This proposed method enabled a 3-fold reduction in calibration time (20 seconds or more) for the in vivo protocols in this study. It may allow more efficient free-breathing PDFF/R2* mapping in patient populations with breath-hold difficulties. |
| 3846 | On the effect of fat spectrum complexity in Dixon MR Fingerprinting | |
| Elizabeth Huaroc1, Dominik Weidlich1, Thomas Amthor2, Peter Koken2, Manuel Baumann2, Kilian Weiss3, Marcus Makowski1, Benedikt Schwaiger4, Mariya Doneva2, and Dimitrios Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips Research Lab, Hamburg, Germany, 3Philips Healthcare, Hamburg, Germany, 4Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany |
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Dixon Magnetic Resonance Fingerprinting (Dixon-MRF) has been emerging for achieving efficient fat suppression in body applications of MRF. Fat quantification using traditional Dixon imaging relies on a pre-calibrated proton density fat spectrum. The fat spectrum is known to be composed of different fat peaks, which have different relaxation times and are affected by J-coupling modulations. Existing Dixon-MRF methods perform water-fat separation assuming a constant pre-calibrated fat spectrum and not accounting how the complex fat spectrum varies along the MRF flip angle train. The present work proposes a framework to characterize the effect of fat spectrum complexity in Dixon-MRF. |
| 3847 | Deep Learning-Based Liver Fat and R2* Mapping with Uncertainty Estimation using Self-Gated Free-Breathing Stack-of-Radial MRI | |
| Shu-Fu Shih1,2, Sevgi Gokce Kafali1,2, Tess Armstrong1, Xiaodong Zhong3, Kara L. Calkins4, and Holden H. Wu1,2 | ||
1Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 4Pediatrics, University of California, Los Angeles, Los Angeles, CA, United States |
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Self-gated free-breathing multi-echo stack-of-radial MRI quantifies liver fat and R2*. However, data undersampling due to motion self-gating can degrade the image quality and quantification accuracy. Previous methods required either longer scan time or computationally expensive constrained reconstruction. In this work, a deep learning-based two-stage network was developed to suppress undersampling artifacts and rapidly generate quantitative fat and R2* maps with a pixel-wise uncertainty map. The proposed method achieved accurate fat and R2* mapping and reduced the computational time by two orders of magnitude versus constrained reconstruction. The uncertainty map can be used to detect regions with potential quantification errors. |
| 3848
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Optimal experimental design for quantitative water, fat and silicone separation using a variable projection method with 4 or 6 echoes at 3T | |
| Jonathan K. Stelter1, Christof Boehm1, Stefan Ruschke1, Maximilian N. Diefenbach1,2, Mingming Wu1, Kilian Weiss3, Tabea Borde1, Stephan Metz1, Marcus R. Makowski1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany, 3Philips Healthcare, Hamburg, Germany |
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Patients with silicone breast implants undergoing MR mammography are examined with a water- and fat-suppressed sequence to verify the implant’s integrity. In parallel, chemical shift encoding-based water–fat separation has been recently used for quantifying breast water-fat composition to assess breast density and for extracting magnetic susceptibility maps to detect breast calcifications. In this work, a water–fat–silicone separation method is developed for a joint estimation of all three components and applied with NSA-optimized echo times to simulated single-voxel data, scanner phantom and in vivo data showing robust species separation and fat fraction mapping. |
| 3849 | Stereological Modeling of Hepatic Steatosis and Estimating Independent R2* for Water and Fat using Monte Carlo Simulations | |
| Utsav Shrestha1, Marie Van Der Merwe2, Nirman Kumar3, Eddie Jacobs4, Sanjaya Satapathy5, Cara Morin6, and Aaryani Tipirneni-Sajja1,6 | ||
1Biomedical Engineering, The University of Memphis, Memphis, TN, United States, 2College of Health Sciences, The University of Memphis, Memphis, TN, United States, 3Computer Science, The University of Memphis, Memphis, TN, United States, 4Electrical & Computer Engineering, The University of Memphis, Memphis, TN, United States, 5North Shore University Hospital/Northwell Health, Manhasset, NY, United States, 6St. Jude Children’s Research Hospital, Memphis, TN, United States |
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Multi-spectral fat-water models assume either single or independent R2* for water (R2*W) and fat (R2*F) for assessment of steatosis. However, any incorrect assumptions in the signal model will produce errors in R2* and fat fraction (FF) calculations. In this study, we developed a Monte Carlo–based approach for generating steatosis models by characterizing fat morphology from histology and synthesizing MRI signal to estimate independent R2*W and R2*F and compare with in-vivo studies. Our results show that R2*W and R2*F are slightly different at low FFs and both demonstrate a positive correlation with FF with slopes of R2*W-FF similar to in-vivo calibrations. |
| 3850 | MRI lipid signatures and SREBPs gene expression profiling for characterisation of glioma: A preliminary study | |
| Pohchoo Seow1, K Rashid2, Vairavan Narayanan 3, Azlina Ahmad-Annuar 4, Jeannie Wong2, Li Kuo Tan2, K Ibrahim4, and Norlisah Ramli2 | ||
1Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia, 3Department of Surgery, University of Malaya, Kuala Lumpur, Malaysia, 4Department of Biomedical Science, University of Malaya, Kuala Lumpur, Malaysia |
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We explored the relationships between MRI lipid-imaging signatures and sterol regulatory element binding proteins (SREBPs) gene expression profiling of ten histologically proven glioma patients to elucidate the underlying inter- & intra-tumoural lipid distribution changes. The high expression of SREBPs was observed for grade II and III implied reprogramming of lipid metabolism. The identification of imaging biomarkers that can reflect changes in the genetic profiles of SREBP offers a new avenue for personalised medicine and the development of new therapeutic targets. |
| 3851 | Comparing omega-3 content in adipose tissue of mice and rats fed a high omega-3 diet with MRS at 9.4T | |
| Clara J. Fallone1, Anthony G. Tessier1,2, Catherine J. Field3, and Atiyah Yahya1,2 | ||
1Department of Oncology, University of Alberta, Edmonton, AB, Canada, 2Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada, 3Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada |
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Omega-3 (ω-3) fat intake is important to disease and reflected in adipose tissue composition. Optimized PRESS (Point RESolved Spectroscopy) at 9.4T is used to quantify relative ω-3 fat content in adipose tissue of mice and rats fed a 16% ω-3 diet and in a control diet mouse. The actual ω-3 fat content in the mice was determined using gas chromatography and compared to that obtained using optimized MRS (R2 = 0.98). On average, the % ω-3 content measured with MRS in rat adipose tissue was approximately 39% higher than that in mouse. |
| 3852 | Precision of STEAM-MRS for Multi-Parametric Quantification in Subjects with Liver Iron Overload at 1.5T and 3T | |
| Gregory Simchick1,2, Ruiyang Zhao1,2, Gavin Hamilton3, Scott Reeder1,2,4,5,6, and Diego Hernando1,2,4 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, University of California-San Diego, San Diego, CA, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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The precision (repeatability and reproducibility) of quantitative stimulated echo acquisition mode (STEAM) MRS was evaluated in subjects with known or suspected liver iron overload at both 1.5T and 3T. The test-retest repeatability and reproducibility across acquisition modes (multi-TE vs multi-TE-TR) of STEAM-MRS multi-parametric quantification was evaluated using linear regression and Bland-Altman analyses. STEAM-MRS demonstrated high precision for several biomarkers, including R2water and R2fat, FWHMwater and FWHMfat as surrogates for R2*, and PDFF, at both 1.5T and 3T. R1water and R1fat exhibited moderate repeatability. The precision of the water estimates (R1, R2, and FWHM) was relatively similar at both field strengths. |
| 3853 | Fatty acid composition quantification in bone marrow at 7 T: method comparison and in vivo feasibility | |
| Sevgi Emin1, Jonas Svensson1,2, Martin Englund3, and Pernilla Peterson1,2 | ||
1Medical Radiation Physics, Department of Translational Medicine, Lund University, Malmo, Sweden, 2Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden, 3Orthopaedics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden |
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Chemical shift-encoded magnetic resonance imaging may be used to estimate the fatty acid composition (FAC) of bone marrow adipose tissue (BMAT), and the method may benefit from the improved spectral resolution at ultra-high field strength. In this work, the in vivo feasibility of FAC quantification in BMAT at 7 T was investigated, and simulations were used to determine the optimal image acquisition parameters and reconstruction model. The study showed that using a short inter-echo time, FAC quantification in BMAT was feasible and robust at 7 T, and that the noise performance might be improved using a constrained reconstruction model. |
| 3854 | Breathing-induced B0 fluctuations bias proton density fat fraction and T2* mapping of brown adipose tissue in the supraclavicular fossa | |
| Mingming Wu1, Cora Held1, Maximilian N. Diefenbach1,2, Jakob Meineke3, Aashley S.D. Sardjoe Mishre4,5, Kilian Weiss6, Hermien E. Kan5, Daniela Junker1, Hans Hauner7,8, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany, 3Philips Research Lab, Hamburg, Germany, 4Division of Endocrinology and Einthoven Laboratory for Experimental Vascular Medicine, Department of Medicine, Leiden University Medical Center, Leiden, Netherlands, 5Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands, 6Philips Healthcare, Hamburg, Germany, 7Else Kröner Fresenius Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Munich, Germany, 8Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany |
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Proton density fat fraction and T2* mapping have been used to characterize fat tissue in the human supraclavicular fossa with the aim of detecting brown adipose tissue and its response to activation by changes of the two. However, chemical shift encoding-based water-fat separation in that region has been primarily performed in free-breathing mode. The present work reports on breathing-induced B0 fluctuations in the human supraclavicular fossa, and the severe bias introduced on both PDFF and T2* quantification, as shown with simulated B0 fluctuation effects. The effect of respiratory triggering on artefact reduction is investigated in a cohort of 13 volunteers. |
| 3855 | Water/fat separation using multiple decoder U-Net architecture (MDWF-Net) for accurate R2* measurements | |
| Juan Pablo Meneses1,2, Cristobal Arrieta1,2, Gabriel della Maggiora1,2, Pablo Irarrazaval1,2,3,4, Cristian Tejos1,2,4, Marcelo Andia1,2,5, Carlos Sing Long1,2,3,6,7, and Sergio Uribe1,2,5 | ||
1Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2ANID – Millennium Science Initiative Program – Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 3Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 5Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 6Institute for Mathematical & Computational Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 7ANID – Millennium Science Initiative Program – Millennium Nucleus for Discovery of Structure in Complex Data, Santiago, Chile |
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Proton density fat fraction (PDFF) and $$$R_2^*$$$, key biomarkers associated to liver disease, can be obtained by solving the water/fat separation problem. Convolutional Neural Networks (CNN) have been proposed for solving this problem. However, proposed solutions have not achieved accurate $$$R_2^*$$$ mapping. We introduce MDWF-Net, a CNN model for computing high quality water-fat, $$$R_2^*$$$ and field mapping from abdominal acquisitions. The results were evaluated considering error and structural similarity and compared against a U-Net. We also evaluated ROIs in the liver for PDFF and $$$R_2^*$$$. The proposed MDWF-Net overperforms the original U-Net, especially for $$$R_2^*$$$ maps, even with fewer echoes. |
| 3856 | The video domain transfer deep learning network with error correction for Dixon Imaging with consistent slice-to-slice water and fat separation | |
| Jong Bum Son1, David Rauch1, Bikash Panthi1, Zijian Zhou1, Benjamin Musall1, Marion Scoggins2, Mark Pagel3, and Jingfei Ma1 | ||
1Imaging Physics Department, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Diagnostic Radiology Department, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Cancer Systems Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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We applied a video processing deep-learning neural network (originally developed to synthesize high resolution photorealistic video from a time series of dancing poses, semantically segmented street-view labels, or human face outline sketches) to Dixon imaging to present combined benefits of 2D and 3D networks. The developed Dixon Video Domain Transfer Generative Adversarial Network (DixonVDTGAN) could create slice-to-slice consistent water images with reduced demand on GPU memory. It could also successfully correct deep-learning processing errors for robust water and fat signal separation under two assumptions that the deep-learning processing errors are localized and the image phase is spatially smooth. |
| 3857 | Orbit Fat Quant with PASTA and Unsaturated- and Saturated-Fat Opposed Phase. | |
| Vadim Malis1, Asako Yamamoto1, Yoshimori Kassai2, Won Bae1, Marianne McDonald3, and Mitsue Miyazaki1 | ||
1Radiology, UC San Diego, San Diego, CA, United States, 2Canon Medical, Tochigi, Japan, 3UC San Diego, San Diego, CA, United States |
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In general, orbit fat suppression is not achieved due to the presence of unsaturated fat signals near water resonance. We have developed PASTA with unsaturated and saturated fat opposed phase (USOP) like a Dixon method. Semi-quantitative analysis shows about 6 – 18% of unsaturated fat in the orbits. Interestingly, two subjects having lazy eye (amblyopia) with double visions (diplopia) shows decreased in unsaturated fat signal. |
| 3858 | Segmentation of whole-body adipose tissue from magnetic resonance fat-fraction images with U-net deep-learning framework | |
| Chuanli Cheng1, Zhiming Wang1, Qian Wan1, Yangzi Qiao1, Changjun Tie1, Hairong Zheng1, Xin Liu1, and Chao Zou1 | ||
1Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China |
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Over the past several decades, the worldwide obesity epidemic has become a significant public health. As a consequence, accurate measurement of obesity is critical for obesity management. In the present study, an automated algorithm is proposed to segment subcutaneous adipose tissue (SAT) and internal adipose tissue (IAT) from the total adipose tissue for whole-body fat distribution analysis using proton density fat fraction (PDFF) magnetic resonance images. The dice coefficient of the network achieved 97.6%, and the processing time was less than 0.1s/image. |
| 3859 | 3D FACT Sequence Based Proton Density Fat Fraction Combined with Marrow R2* for Osteopenia and Osteoporosis Assessment | |
| Guanwu Li1, Wenshen Zhou2, Shixin Chang1, Dongmei Wu3, and Yongming Dai2 | ||
1Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China |
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Marrow proton density fat fraction (PDFF) and R2* at the lumbar spine in postmenopausal females of widely varying bone density were simultaneously measured with a 3D Fat Analysis & Calculation Technique (FACT) Sequence at 3.0T. Discrimination of osteopenia and osteoporosis can be improved with a combination of the PDFF and R2*. |
| 3860 | Accelerated water-fat separation based on deep learning model exploring multi-echo nature of mGRE | |
| Qinjia Bao1, Xiaojun Li2, Kewen Liu2, Zhao Li3, Hongxia Xiong2, Jingjie Yan4, Yalei Chen2, and Chaoyang Liu3 | ||
1Weizmann Institute of Science, Rehovot, Israel, 2School of Information Engineering, Wuhan University of Technology, Wuhan, China, 3State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Wuhan, China, 4Huazhong University of Science and Technology, Wuhan, China |
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We proposed a novel deep learning network for water-fat separation from undersampled mGRE data. The network contains three components: The first is the reconstruction module, which can effectively take advantage of the similarity between different echoes to recover the fully sampled image from the undersampled data; the second is the feature extraction module, which learns the correlations between consecutive echoes; and the third is the water-fat separation module that processes the feature information extracted from the feature extraction module. The results show that the proposed network can effectively obtain high-quality water and fat images at 6 times acceleration. |
| 3861 | Temperature-Corrected Proton Density Fat Fraction Estimation using Magnitude, Complex, and Hybrid Chemical Shift-Encoded MRI in Phantoms | |
| Ruvini Navaratna1,2, Ruiyang Zhao1,2, Timothy J Colgan2, Houchun Harry Hu3, Mark Bydder4, Takeshi Yokoo5, Mustafa R Bashir6,7,8, Michael S Middleton9, Suraj D Serai10, Dariya Malyarenko11, Thomas Chenevert11, Mark Smith3, Walter Henderson9, Gavin Hamilton9, Yunhong Shu12, Claude B Sirlin9, Jean Tkach13, Andrew T Trout13,14, Jean H Brittain15, Diego Hernando1,2, and Scott B Reeder1,2,16,17,18 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Radiology, Nationwide Children's Hospital, Columbus, OH, United States, 4Radiological Sciences, University of California - Los Angeles, Los Angeles, CA, United States, 5Radiology, University of Texas - Southwestern Medical Center, Dallas, TX, United States, 6Radiology, Duke University Medical Center, Durham, NC, United States, 7Division of Hepatology, Duke University Medical Center, Durham, NC, United States, 8Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States, 9Radiology, University of California - San Diego, San Diego, CA, United States, 10Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 11Radiology, University of Michigan, Ann Arbor, MI, United States, 12Radiology, Mayo Clinic, Rochester, MN, United States, 13Radiology, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, United States, 14Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 15Calimetrix, LLC, Madison, WI, United States, 16Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 17Medicine, University of Wisconsin - Madison, Madison, WI, United States, 18Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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Chemical shift-encoded (CSE) MRI is a well-established technique to quantify proton density fat-fraction (PDFF) as a quantitative imaging biomarker of hepatic steatosis. However, temperature is known to affect the accuracy and precision of PDFF quantification in phantoms. Previous work has demonstrated the benefit of temperature-correction using magnitude-based CSE-MRI PDFF estimation. However, the effect of temperature correction on complex- and hybrid-based CSE-MRI PDFF estimation is unknown. In this study, we aim to compare the effects of PDFF temperature-correction for magnitude-based, complex-based, and hybrid-based CSE-MRI using simulations, temperature-controlled phantom experiments, and a multi-center phantom study. |
| 3862 | Linearity and Bias of Liver and Bone Marrow Proton Density Fat Fraction (PDFF) in the setting of Ferumoxytol MRI | |
| Ali Pirasteh1, Srijyotsna Volety1, Matthias R Muhler2, Diego Hernando1, and Scott B Reeder3 | ||
1Radiology and Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, Medical Physics, Biomedical Engineering, Medicine, Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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We evaluated the robustness of measuring liver and bone marrow PDFF by chemical shift encoded (CSE) MRI measured before and 1-3 days after intravenous (IV) administration of ultra-small superparamagnetic iron oxide (USPIO) particles, i.e., ferumoxytol, as IV contrast. Among the eight included subjects, there was strong linearity and no significant bias between pre- and post-ferumoxytol CSE-MRI liver PDFF (R2=0.99, slope=0.99 and intercept=0.38%; mean bias [limits of agreement]=0.4% [±1.7] at 1.5T, and 0.2% [±1.7] at 3.0T. However, CSE-MRI bone marrow PDFF suffered from bias and overestimation post-ferumoxytol (R2=0.85, slope=0.85, intercept=12.8%, mean bias [LOA]=5.4% [±6.2] at 1.5T and 4.4% [±6.5] at 3.0T). |
| 3863 | Spectral-Heterogeneity-Adaptive Radiofrequency Pulses for Improving the Conspicuity of Meniscal Tears at 3T and 7T | |
| Venkata Veerendranadh Chebrolu1, Peter Kollasch1, Daniel B Spence2, Joel P Felmlee2, Benjamin M Howe2, Matthew A Frick2, and Kimberly K Amrami2 | ||
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States |
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In this work, we evaluate the efficacy of Spectral-Heterogeneity-Adaptive Radiofrequency Pulses (SHARP)-based partial fat saturation for improving meniscal pathology conspicuity at 3T and 7T. Under the guidelines of an IRB, 11 subjects with knee meniscal pathology detected on a previous 3T MRI were imaged at 3T and 7T using six different turbo spin-echo–based MRI imaging options that included SHARP. Two fellowship-trained musculoskeletal radiologists evaluated meniscal pathology conspicuity and selected the top three preferred options for each case. SHARP improved conspicuity of meniscal pathology at 3T and 7T and was within top three preferred options for the highest number of times. |
| 3864 | Magnetic resonance thermometry in activated interscapular brown adipose tissue of rats with various dose of norepinephrine | |
| Chuanli Cheng1, Qian Wan1, Yangzi Qiao1, Changjun Tie1, Xin Liu1, Hairong Zheng1, and Chao Zou1 | ||
1Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China |
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Magnetic Resonance thermometry (MRT) in activated brown adipose tissue (BAT) is able to measure the BAT function directly. A previous proposed fat-referenced 1H proton resonance frequency shift MRT method is adopted to compare the thermogenic capacity of rats injected with different dose of norepinephrine (NE). It is found that the rats with 2mg/kg and 1mg/kg NE injection had comparable maximum temperature rises after NE injection (7.1oC vs. 6.7oC), while temperature rises for rats with NE of 0.5mg/kg was significantly lower (3.8oC). |
| 3865 | Quantitative evaluation of infrapatellar fat pad in knee osteoarthritis by using hydrogen proton MR spectroscopy (1H-MRS) | |
| Lijie Zhong1, Mainwen Li1, Yukun Ding1, Xintao Zhang1, Yanjun Chen1, Yingjie Mei2, and Xiaodong Zhang1 | ||
1Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China, 2China International Center, Philips Healthcare, Guangzhou, China |
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Infrapatellar fat pad (IPFP) is an adipose structure of knee joint, which plays an important role in the progression of knee osteoarthritis(KOA). In this paper, we evaluate the fat content and composition of the IPFP in normal subjects and different stages of knee osteoarthritis patients using hydrogen proton MR spectroscopy (1H-MRS). In addition, we investigate the relationship between the fat content and composition of the IPFP and Hoffa-synovitis. The results showed that the quantitative parameters of the IPFP by MRS were correlated with the progression of KOA and Hoffa-synovitis. |
| 3866 | Robust Fat Suppression with Slice Selective Gradient Reversal (SSGR) in Amide Proton Transfer Imaging – Application to Non-Human Primate Brain | |
| Hahnsung Kim1,2, Lisa C. Krishnamurthy 3,4, Jinsuh Kim5, and Phillip Zhe Sun1,2 | ||
1Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 3Center for Visual and Neurocognitive Rehabilitation, Atlanta VA, Decatur, GA, United States, 4Department of Physics & Astronomy, Georgia State University, Atlanta, GA, United States, 5Department of Radiology, University of Alabama Birmingham, Birmingham, AL, United States |
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Single-shot EPI imaging has become a widely used acquisition method in amide proton transfer (APT) imaging due to its fast imaging readout. Because APT effects are relatively small, fat artifacts may significantly impact the asymmetry analysis. Recently, a slice selective gradient reversal (SSGR) method has been reported to effectively suppress fat signals. This work aims to introduce the SSGR method into spin-echo EPI APT imaging, which can be used for fat suppression in the non-human primate brain with substantial pericranial fat. |
| 3867 | Bone Marrow Adiposity Evaluation using Dixon MRI Fat Fraction with Machine Leaning Segmentation in the UK Biobank – Initial Validation | |
| David M Morris1, Chengjia Wang1, Giorgos Papanastasiou2, Calum Gray3, Scott IK Semple1, Tom MacGillivray1, and William Cawthorn1 | ||
1Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom, 2University of Essex, Colchester, United Kingdom, 3Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom |
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The UK Biobank is a research tissue data bank that contains genetic, health and MRI data. This includes 2-point Dixon sequences allowing for the assessment of fat fraction to evaluate bone marrow adiposity. Bone marrow adipose tissue is a potential biomarker of diseases including osteoporosis and endocrine disorders. Manual processing of this big data is not feasible and automated processes must be developed and validated. Machine Learning has been developed for the automated segmentation of anatomically appropriate bone marrow regions of interest and the extracted Fat Fraction values validated against expected values across different subject groups. |
| 3868 | Spatial Dependence of PDFF Measurement Bias using Chemical Shift Encoded MRI | |
| Nikolaos Panagiotopoulos1, Thekla Helene Oechtering1, David Rutkowski2, Jean Brittain2, Diego Hernando1,3, and Scott B Reeder1,3,4 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Calimetrix LLC, Madison, WI, United States, 3Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Departments of Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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A phantom placed alongside a patient, i.e., “pocket phantom,” can enable quality assurance of proton density fat fraction (PDFF) measurements. To determine the optimal positioning, the spatial dependence of PDFF measurements must be understood. To address this unmet need, we filled the bore of a 3T MRI with pocket phantoms. Though PDFF bias was low, it increased with distance from isocenter. Absolute bias was <2.5% within 18cm (in-plane) and within 10cm (z-direction). We conclude that the optimal position for a PDFF pocket phantom is on the table, centered below the patient at the level of the examined organ. |
| 3869 | Fat fraction and T2* evaluation of the Infrapatellar Fat Pad in Varying Degrees of Knee Osteoarthritis | |
| Yanjun Chen1, Xintao Zhang1, Mianwen Li1, Lijie Zhong1, Jian Wang1, Yingjie Mei2, and Xiaodong Zhang1 | ||
1The Third Affiliated Hospital, Southern Medical University, Guangzhou, China, 2China International Center, Philips Healthcare, Guangzhou, China |
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Knee osteoarthritis (KOA) is characterized by pain and limitation in the range of knee joint motion with resultant disability in a substantial proportion of elderly subjects, and infrapatellar fat pad (IPFP) alterations play an important role in the progress of KOA(1,2). IPFP damage causes a direct change in the proportion of fat in the tissue to water and could be evaluated by magnetic resonance imaging (MRI)(3,4). Fat fraction (FF) and the T2* relaxation time can detect the water and fat changes in IPFP. In this study, IPFP was quantitatively estimated by FF and T2* using modified DIXON (mDIXON) technique. |
| 3870
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A novel method for temperature mapping in fatty tissues based on Z-Spectrum MRI with binomial pulse | |
| Alessandro Scotti1,2, Jin Gao3, Weiguo Li3, Mehran Shaghaghi1, Fred Damen1, and Kejia Cai1,2 | ||
1Radiology, University of Illinois at Chicago, Chicago, IL, United States, 2Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Research Resource Center, University of Illinois at Chicago, Chicago, IL, United States |
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The measurement of temperature in fatty tissues remains a challenge, since the presence of fat protons modifies the phase difference and therefore introduces errors in the quantification from proton resonance frequency shift. By using Z-spectrum MRI, combined with a Jump-Return binomial pulse preparation, we create a sinusoidal variation of the signal as a function of the resonance frequency. The magnitude-based readout eliminates the risk of phase-related artifacts and allows to measure the subtle shifts of water resonance and therefore the temperature, even in fatty tissues. We tested the sequence in mice and cream phantom. |