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| 1033
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Quantitative Susceptibility Mapping (QSM) is Sensitive to Hippocampal and Subcortical Gray Matter Changes in Temporal Lobe Epilepsy | |
| Oliver C. Kiersnowski1, Gavin P. Winston2,3, Emma Biondetti1,4, Sarah Buck2, Lorenzo Caciagli2,5, John Duncan2, Karin Shmueli1, and Sjoerd B. Vos6,7 | ||
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Department for Clinical and Experimental Epilepsy, University College London, London, United Kingdom, 3Department of Medicine, Division of Neurology, Queen's University, Kingston, ON, Canada, 4Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France, 5Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 6Centre for Medical Image Computing, Computer Science Department, University College London, London, United Kingdom, 7Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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Although temporal lobe epilepsy (TLE) results in widespread changes in MRI measures of tissue volume, diffusion and functional connectivity, changes in tissue composition in TLE have not been investigated with MRI. Quantitative susceptibility mapping (QSM) is sensitive to changes in tissue composition, in particular to iron and myelin. Here, we show for the first time that QSM is sensitive to gray matter abnormalities in 31 patients with temporal lobe epilepsy (TLE) compared to 23 healthy controls, and showed significant susceptibility changes in the hippocampus in left TLE patients, and in the bilateral thalamus in both left and right TLE. |
| 1034 | Increased connectivity strength in operculo-insular epilepsy leveraged by COMMIT-based surface-enhanced tractography | |
| Sami Obaid1,2, Françcois Rheault2,3, Manon Edde2, Guido Guberman4, Etienne St-Onge2, Jasmeen Sidhu2, Alain Bouthillier5, Alessandro Daducci6, Dang Khoa Nguyen7, and Maxime Descoteaux2 | ||
1Department of Neurosciences, Université de Montréal, Montréal, Quebec, Canada, Montréal, QC, Canada, 2Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, Quebec, Canada, Sherbrooke, QC, Canada, 3Electrical Engineering, Vanderbilt University, Nashville, TN, United States, Nashville, TN, United States, 4Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada, Montreal, QC, Canada, 5Division of Neurosurgery, CHUM, Montréal, Quebec, Canada, Montreal, QC, Canada, 6Department of Computer Science, University of Verona, Verona, Italy, Verona, Italy, 7Service de Neurologie, CHUM, Montréal, Québec, Canada, Montreal, QC, Canada |
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Operculo-insular epilepsy (OIE) is a rare and under-diagnosed pathology due to its heterogeneous presentation. Interestingly, no studies have looked at the structural connectome in OIE. In this study, we used a cutting-edge diffusion MRI processing pipeline to evaluate the connectivity pattern of OIE. The filtering-based COMMIT weight obtained from surface-enhanced tractography was used as a marker of ‘connectivity strength’. We found an increase in ‘connectivity strength’ within the epileptic network of OIE. Moreover, the pattern of connectivity was distinct from the one of TLE, potentially constituting a tool to help differentiate OIE from the closely related and challengingly distinguishable TLE. |
| 1035 | Association of hypometabolic extension of 18F-FDG PET with DTI in hippocampal sclerosis | |
| Hiroyuki Tatekawa1, Hiroyuki Uetani1, Akifumi Hagiwara1, and Noriko Salamon1 | ||
1UCLA, Los Angeles, CA, United States |
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To assess associations between hypometabolic extensions of FDG PET and DTI, including MD and FA, 36 unilateral hippocampal sclerosis were stratified into broad hypometabolic (n=26) and localized groups (n=10) by the extension of FDG hypometabolism beyond or within the temporal lobe. Gray matter (GM) ROIs and TBSS were used to compare MD of GM and FA of white matter (WM) between hemispheres ipsilateral and contralateral to epilepsy focus. Associations between hypometabolism and DTI alterations, including more widespread GM abnormalities for broad than localized groups and significantly decreased FA in the temporal and frontal WM for broad group, were identified. |
| 1036 | Analysis of Exchangeable Pool Contributions to the Chemical Exchange Saturation Transfer Signal Using a 2-stage Simulation Method | |
| Qingqing Wen1, Kang Wang2, Yi-Cheng Hsu3, Yan Xu4, Yi Sun3, Dan Wu1,2, and Yi Zhang1,2 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Neurology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 4Department of Neurosurgery, Zhejiang Provincial People's Hospital, HangZhou, China |
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A 2-stage simulation method was proposed to estimate the leading contributor to the CEST contrast between disease and normal tissues. First, the proposed method generates a best Bloch-McConnell fit to the MTRasym spectra of the normal brain tissues. Second, it alters only one exchange parameter in the Bloch-McConnell model to fit the MTRasym spectra of disease tissues each time. The candidate parameter that yields the smallest error between simulated and experimental results is identified as the leading contributor to the CEST contrast. The proposed method was validated in numeric phantoms and 9 tuberous sclerosis complex (TSC)-associated epilepsy patients. |
| 1037 | Evaluating Brain Iron Content in Patients with Idiopathic Rapid Eye Movement Sleep Behavior Disorder | |
| Kiarash Ghassaban1,2, Chao Chai3, Huiying Wang4, Tong Zhang3, Jinxia Zhu5, Xianchang Zhang5, E. Mark Haacke1,2, and Shuang Xia3 | ||
1Department of Radiology, Wayne State University, Detroit, MI, United States, 2SpinTech, Inc., Bingham Farms, MI, United States, 3Department of Radiology, Tianjin First Central Hospital, Tianjin, China, 4Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China, 5MR Collaboration, Siemens Healthcare Ltd, Beijing, China |
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Out of 29 idiopathic rapid eye movement behavior disorder (iRBD) patients and 28 age-matched healthy controls (HCs), 12 patients showed bilateral or unilateral loss of the N1 sign as opposed to two HCs with unilateral N1 loss. Additionally, both global and regional high susceptibility analyses showed significantly higher iron deposition in the right dentate nucleus (DN) along with significantly lower bilateral volume of the caudate nucleus in iRBD patients. These findings taken together with significant correlations between iron measurements and several cognitive and motor impairment scores may be indicative of biomarkers of an early neurodegenerative process in the iRBD patients. |
| 1038 | Early Diagnosis of Dementia (AD/MCI/Normal Aging) Based on CBF-Maps Derived from ASL–MRI and Artificial Intelligence | |
| Soroor Kalantari1, Fardin Samadi Khosh Mehr2, Mohammad Soltani1, Mehdi Maghbooli3, Zahra Rezaei4, Soheila Borji1, Behzad Memari1, Mohammad Bayat1, Behnaz Eslami5, and Hamidreza Saligheh Rad6 | ||
1Department of Radiology, Zanjan University of Medical Science, Zanjan, Iran (Islamic Republic of), 2Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Department of Neurology, Zanjan University of Medical Science, Zanjan, Iran (Islamic Republic of), 4Department of Computer and Electrical Engineering, University of Kashan, Kashan, Iran (Islamic Republic of), 5Tehran Islamic Azad University, Tehran, Iran (Islamic Republic of), 6Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Department of Medical Physics and Biomedical Engineering, Tehran university of Medical Science, Tehran, Iran (Islamic Republic of) |
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This study aims to investigate the use of high-level de-noising and machine-learning methods applied on ASL-MRI dataset acquired at 1.5T, and in order to to find important regions in the brain for the classification of patients with AD and MCI and normal aging. Automated classification and prediction methods recognizing perfusion changes in specific subregions of the brain are applied to pseudo-continuous ASL-derived CBF-maps, predicting the diagnosis of Alzheimer's disease, mild cognitive impairment, and normal cognition. Due to alarming prevalence of AD, machine-learning approaches for ASL- MRI are used to develop computer-aided diagnosis (CAD) tools for clinical and screening targets, assisting early diagnosis of the AD process. |
| 1039 | On the Spectrum of Dysmaturation of the Extremely Preterm Brain at Adolescence: Combined MS-qMRI Outcomes of the ELGAN-ECHO Study. | |
| Ryan McNaughton1, Hernan Jara1,2, Chris Pieper2, Julie Rollins3, Osamu Sakai2, Laurie Douglass2, Rebecca Fry3, Karl Kuban2, and T. Michael O'Shea3 | ||
1Boston University, Boston, MA, United States, 2Boston University Medical Center, Boston, MA, United States, 3University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, United States |
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Purpose: To describe the spectrum of MS-qMRI outcomes in the extremely preterm (EP) brain at adolescence and identify relationships expressed as a result of dysmaturation. Methods: Quantitative MR algorithms create maps of the T1, T2, PD, and spatial entropy (SE) for 341 EP born individuals using MR images obtained with the Tri-TSE pulse sequence at age 15 years. Results: The EP brain exhibits linear relationships of T1 and PD with SE, and T2 with cerebrospinal fluid (CSF) volume. Conclusion: MS-qMRI of the EP brain provides a comprehensive quantification of dysmaturation states, from white matter structure to CSF composition. |
| 1040 | Brain Function in Obesity: A Pilot Study to Assess Effects of Bariatric Surgery | |
| Nareen Anwar1, Wesley J Tucker2, Nancy Puzziferri3, Jake Samuel2, Vlad G Zaha3, Ildiko Lingvay3, Jaime Almandoz3, Jing Wang2, Edward A Gonzales2, Matthew Brothers2, Michael Douglas Nelson2, and Binu P Thomas2,3 | ||
1The University of Texas at Dallas, Richardson, TX, United States, 2The University of Texas at Arlington, Arlington, TX, United States, 3University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Obesity is an ongoing epidemic that is associated with cognitive dysfunction and is a prominent precursor to a variety of neurogenerative diseases. Bariatric surgery is an effective and long-term weight loss strategy that can improve neurocognitive function. However, the mechanisms that drive these improvements are unknown. In this study, magnetic resonance imaging (MRI) is utilized to assess changes in cerebral metabolic rate of oxygen (CMRO2) levels in bariatric surgery candidates before and after their surgery. These values are compared with normal healthy weight controls of a similar age and reassessed after 2 weeks and 14 weeks. |
| 1041 | An n=1 approach to white matter anomaly detection in epilepsy | |
| Maxime Chamberland1, Dmitri Shastin1,2, Sila Genc1, Khalid Hamandi1,3, William P. Gray1,2, Chantal M.W Tax1, and Derek K. Jones1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Department of Neurosurgery, University Hospital Wales, Cardiff, United Kingdom, 3Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom |
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Most clinical diffusion MRI (dMRI) applications rely on statistical comparisons between large groups of patients and healthy controls to infer altered tissue state. For clinicians and researchers studying small datasets, rare cases, or individual patients, this approach is clearly inappropriate. We recently developed a framework to advance dMRI-based tractometry towards single-subject analysis. By 1) operating on the manifold of white matter pathways and by 2) learning normative microstructural features to better discriminate patients from controls, our framework successfully identified idiosyncrasies in patterns along brain white matter pathways in individuals with focal cortical dysplasia (FCD). |
| 1042 | Graph-based global reasoning of DWI tractography connectome allows reproducible prediction of language impairment in pediatric epilepsy | |
| Jeong-Won Jeong1, Soumyanil Banerjee2, Min-Hee Lee1, Nolan O'Hara3, Csaba Juhasz1, Eishi Asano1, and Ming Dong2 | ||
1Pediatrics, Wayne State University, Detroit, MI, United States, 2Computer Science, Wayne State University, Detroit, MI, United States, 3Translational Neuroscience Program, Wayne State University, Detroit, MI, United States |
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We propose a deep learning-based DWI connectome (DWIC) analytic method, characterized by convolutional neural network combined with graph convolutional network. This method trained DWIC features to predict the severity of expressive and receptive language impairment, defined by the clinical evaluation of language fundamentals test. It outperformed other state-of-the-art deep learning approaches in predicting the expressive/receptive language scores in children with focal epilepsy. It also demonstrated the smallest prediction error without a noticeable variation in the random permutation test. Further investigation is warranted to determine the feasibility of a DWIC-based prognostic biomarker of language impairment in clinical practice. |
| 1043 | Two patterns of cortical thickness relate to seizure relapse in pediatric patients with epilepsy after treatment | |
| Wenjing Zhang1, Tao Yu2, Mengyuan Xu1, Chengmin Yang1, Naici Liu1, Su Lui1, and Haibo Qu3 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China, 3Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, National Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China |
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In the present study, a data-driven analysis of structural MRI data was conducted with pediatric epilepsy patients. We first resolve neurobiological heterogeneity based on neuroanatomical features, and then investigate the clinical relevance of using MRI data to predict seizure relapse status after treatment in each identified patient subgroup. Our study limits the influence of treatment and course of illness effects, potentially enhancing the ability to identify illness-specific biomarkers that delineate patient subgroups, and can also be used to evaluate the utility of such biomarkers in predicting illness progression and treatment response. |
| 1044 | Cerebral Morphometric Alterations in Patients with Temporal Lobe Epilepsy related to Antero-inferior Temporal Meningoencephalocele | |
| Laleh Eskandarian1,2, Safak Parlak3, Gokce Ayhan4, Irsel Tezer4, Serap Saygi4, and Kader Karli Oguz2,3 | ||
1Neuroscience Department, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Faculty of Medicine, Department of Radiology, Hacettepe University, Ankara, Turkey, 4Faculty of Medicine, Department of Neurology, Hacettepe University, Ankara, Turkey |
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This study investigates morphological alterations in patients with left temporal lobe epilepsy (TLE) due to ipsilateral antero-inferior temporal lobe meningoencephalocele (TLM). Compared with healthy control (HC)s, cortical thickness was increased extensively in both cerebral hemispheres with reduction in a few regions, most remarkably in the left temporal lobe. Both amygdala were significantly bigger in the patients compared with HCs. No difference was found in hippocampi and thalami between patients and HCs or between hemispheres within the patient group. No relation was found between these significant alterations and duration of disease. |
| 1045 | Lateralization of Temporal Lobe Epilepsy Using Multimodal MRI, Decision Tree, and Random Forest Methods | |
| Alireza Fallahi1, Neda Mohammadi-Mobarakeh2, Narges Hosseini Tabatabaei3, Mohammad Pooyan4, Jafar Mehvari-Habibabadi5, Mohammad-Reza Ay2, and Mohammad-Reza Nazem-Zadeh2 | ||
1Shahed University, Tehran, Iran (Islamic Republic of), 2Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Brain and Spinal Cord Injury Research Centre, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 4Biomedical Engineering Department, Shahed University, Tehran, Iran (Islamic Republic of), 5dr.mehvari@hotmail.com, Isfahan, Iran (Islamic Republic of) |
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In this study, a decision making method was developed for determination epileptogenicity in mesial temporal lobe epilepsy (mTLE) patients using different neuroimaging markers including hippocampal volume, and FLAIR (Fluid Attenuated Inversion Recovery) intensity and MD (Mean Diffusivity) value in hippocampus, FA (Fractional anisotropy) in posteroinferior cingulum, and FA in crus of fornix from MRI images of T1, FLAIR, and DTI (diffusion tensor imaging). The aim of this study is to creating an automated classification algorithm using decision tree and random forest methods. Result of applied method detected essential rules for prediction of laterality in individual mTLE patients. |
| 1046 | T2 relaxometry and 18F-FDG-PET alterations in hippocampus and hippocampal subfields in left and right MR-negative temporal lobe epilepsy | |
| Hui Huang1, Miao Zhang2, Wei Liu3, Jia Wang1, Lihong Tang1, Qikang Li1, Biao Li2, and Jie Luo1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Both PET and T2 relaxometry could provide complementary information of the epileptogenic zone, which could add value to presurgical planning of epilepsy patients. This study investigated evaluted the performance of hippocampual asymmetry measures from volumetry, T2 relaxometry and 18F-FDG PET in lateralization for MR negative left from right temporal TLE. We also investigated how hippocampal subfield alterations of T2 relaxometry and 18F-FDG-PET. Our experimental results showed the combination of T2 relaxometry and PET could complement each other in lateralization for MR-negative LTLE. |
| 1047 | Proton MR spectroscopy reveals metabolic alterations in generalized tonic clonic seizures before and after treatment: a longitudinal study | |
| Xinyue Wan1, Xiaorui Su1, Simin Zhang1, Qiyong Gong1, and Qiang Yue2 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Radiology, West China Hospital of Sichuan University, Chengdu, China |
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The neurobiochemical mechanisms of Generalized tonic-clonic seizures (GTCS) patients' brains and the effects of antiepileptic drugs (AEDs) on metabolism are not yet clear. The purpose of this study was to use MRS to explore metabolic alterations of bilateral Dorsolateral prefrontal cortex (DLPFC) in pre-/post-treatment GTCS patients. We included 23 initially diagnosed GTCS patients and 23 healthy controls (HC). The metabolite level (n-acetyl aspartate, creatine) in DLPFC of GTCS patients was changed compared with that of healthy control, and AEDs had an effect on the metabolites concentration, which may explain the neurobiochemical mechanism. |
| 1048 | Automated brain MRI volumetry and T1 relaxometry in children with focal epilepsy of unknown cause. | |
| Baptiste MOREL1,2, Anne Sophie Piegay1, Maximilien Perivier1, Sandra Obry1, Bénédicte Maréchal3,4,5, Gian Franco Piredda3,4,5, Tom Hilbert3,4,5, Tobias Kober3,4,5, Clovis Tauber6, Pierre Castelnau6, and Jean Philippe Cottier1 | ||
1CHU de Tours, Tours, France, 2UMR 1253, iBrain, Université de Tours, INSERM, Tours, France, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6INSERM U1253, Tours, France |
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In the initial exploration of children with focal epilepsy of unknown cause, MRI is useful. To increase the sensitivity of the MRI, we have defined a postprocessing Morphometric Analysis Program allowed obtaining automatically both volumetry and T1 relaxometry values in 38 brain regions. Deviations from reference ranges – previously established from a cohort of healthy subjects – help radiologists to quantify brain abnormalities undetected in brain MRI in more than 80% of our cases. |
| 1049 | Neurochemical characteristics of pathological tissues in epilepsy: a 1H MRS study at 7T | |
| Lijing Xin1,2, Philippe Reymond3, José Boto3, Serge Vulliemoz4, Francois Lazeyras 5, and Maria Isabel Vargas3 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 3Division of Neuroradiology, Diagnostic Department of Geneva University Hospitals and University of Geneva, Geneva, Switzerland, 4Division of Neurology, Neurosciences Department of Geneva University Hospitals and University of Geneva, Geneva, Switzerland, 5Center for Biomedical Imaging of Geneva and University of Geneva, Geneva, Switzerland |
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This study is aim to evaluate the neurochemical characteristics of pathological tissues by 1H MRS in patient with epilepsy at 7T. In comparison to the contralateral side, lesions in focal cortical dysplasia demonstrated significantly reduced macromolecule and N-acetyl aspartate, significantly increased total choline and glycine + myo-inositol, and a distinct reduction trend of glutamate. We conclude that performing MRS at high magnetic field offered the potential to reveal novel metabolic alterations in epilepsy lesions that may help to further understand the underlying pathophysiology of the disease. |
| 1050 | Assessment of R1 Relaxometry Changes Induced via Repeated Videogame Training as a Measure of Neuroplasticity in College-aged Brains | |
| Austin Bazydlo1, Steven Kecskemeti2, Aaron Cochrane3, Thomas Gorman4, Bas Rokers5, Douglas Dean1,6, C. Shawn Green3, and Andrew Alexander1,2,7 | ||
1Medical Physics, UW-Madison, Madison, WI, United States, 2Waisman Center for Brain Imaging, UW-Madison, Madison, WI, United States, 3Psychology, UW-Madison, Madison, WI, United States, 4Psychology, Indiana University-Bloomington, Bloomington, IN, United States, 5Psychology, NYU-Abu Dhabi, Abu Dhabi, United Arab Emirates, 6Pediatrics, UW-Madison, Madison, WI, United States, 7Psychiatry, UW-Madison, Madison, WI, United States |
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Two video games, Need for Speed and Guitar Hero, were used as training tasks for two groups of college-aged, typically developing participants over 4 weeks and 10 total hours of training. Imaging was acquired before and after the first training session and upon completion of the last training session. The robust MPnRAGE sequence, which produces hundreds of T1 contrasts, was used to generate quantitative R1 maps. Longitudinal changes of R1 were observed in several parietal and temporal lobe areas, which may indicate a neuroplastic response due to video game training. |
| 1051 | Multi-Frequency Magnetization Transfer (MFMT) for Improved High-Resolution Human Hippocampal Imaging at 7 Tesla | |
| Ronald J Beyers1, Adil Bashir1, and Thomas S Denney1 | ||
1MRI Research Center, Auburn University, Auburn University, AL, United States |
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The growing occurrence of Alzheimer’s disease (AD) and other cognitive debilitating disease drive the need for improved neuro MRI methods at 7 Tesla. Here we present an agile multi-frequency magnetization transfer (MFMT) method for improved high resolution 3D MRI of the human hippocampus at 7T. Demonstration of MFMT on healthy volunteers quantified improved hippocampal contrast by a factor of 2.06 (p < 0.004). |
| 1052 | The Volume of Hippocampal Subfields in correlation with Middle Age Healthy Adults | |
| Salem Alkhateeb1, Tales Santini2, Regina Leckie2, nadim farhat2, Peter J Gianaros2, Anna L Marsland2, Stephen B Manuck2, and Tamer S Ibrahim2 | ||
1Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2University of Pittsburgh, Pittsburgh, PA, United States |
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As hippocampal volume has been extensively utilized as a diagnosing tool to confirm diagnosis of many neurological disorders, this study aims to employ the high resolution 7T data to segment the hippocampal subfields then correlate their volumes with the age of healthy adults’ population. The region encompassing the subregions left DG, CA2, and CA3 showed significant correlation with age, with a volume variation of approximately -1% per year. Other regions presented a trend towards reductions that did turn into significant. Future work will investigate if differences in the hippocampus subfields are correlated with cognitive performance in this population. |
| 1053 | WITHDRAWN |
| 1054 | Sensitivity and Specificity of MRI Markers of Excess Manganese Brain Deposition | |
| Humberto Monsivais1, Grace Francis2, Sandy Snyder1, Jonathan Kuhn3, and Ulrike Dydak1,4 | ||
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Physics and Astronomy, Purdue University, West Lafayette, IN, United States, 3Mathematics and Statistics, Purdue University Northwest, Westville, IN, United States, 4Radiology and Imaging Scienes, Indiana University School of Medicine, Indianapolis, IN, United States |
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The pallidal index (PI) and the R1 relaxation rate are two commonly used MRI markers to diagnose manganese (Mn) neurotoxicity caused by excess Mn accumulation in the brain. While it has been hypothesized that the R1 relaxation rate is more sensitive and specific to Mn accumulation than the PI, a formal comparison is still missing. This study aimed to compare these two MRI markers' sensitivity and specificity to distinguish different levels of exposure to Mn by performing a receiver operating characteristic curve (ROC) analysis on a cohort of welders, occupationally exposed to Mn in welding fumes. |
| 1055 | UTE MRI can detect myelin loss in mice using an open field low intensity blast injury model of mild traumatic brain injury (mTBI) | |
| Ya-Jun Ma1, Catherine E Johnson2, Jonathan Wong1,3, Hyungseok Jang1, Roland Lee1, Eric Y Chang1,3, Zezong Gu2, and Jiang Du1 | ||
1UC San Diego, San Diego, CA, United States, 2Missouri University of Science and Technology, Rolla, MO, United States, 3VA Health System, San Diego, CA, United States |
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Mild traumatic brain injury (mTBI) may cause significant myelin damage, leading to significant degradation of elaborate cognitive functions. However, conventional neuroimaging techniques are unable to accurately assess myelin, and fail to show abnormalities in the majority of mTBI cases. UTE MRI sequences with echo times (TEs) <0.1 ms allow direct imaging and quantitative assessment of myelin density. Here we aim to investigate whether the 3D IR-UTE sequence can detect myelin loss in mice using an open field low intensity blast injury model of mTBI. This technique provides a new approach for potentially more accurate diagnosis and treatment monitoring of mTBI. |
| 1056 | Topological reorganization due to repetitive head impacts: Insights from Professional Fighters Brain Health Study | |
| Virendra R Mishra1, Karthik Sreenivasan1, Dietmar Cordes1, Aaron Ritter1, and Charles Bernick2 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Washington - Seattle, Seattle, WA, United States |
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Repetitive head impact (RHI) is thought to induce robust white-matter (WM) damage which may be the risk factor for various disorders. Though single-tensor diffusion MRI (dMRI) studies have improved our understanding of WM abnormalities at a regional level in participants exposed to RHI, there are no studies that attempt to understand topological WM structural connectivity changes due to RHI. Utilizing a high spatial resolution (1.5mm3) dMRI from 12 active male boxers and 10 demographically matched healthy controls (HC), we showed that RHI induces a topological shift as compared to HC, and this shift is correlated with neuropsychological scores. |
| 1057 | Investigating the extent of difference in single tensor and beyond single tensor diffusion MRI-derived voxelwise measures | |
| Virendra R Mishra1, Karthik Sreenivasan1, Dietmar Cordes1, Aaron Ritter1, and Charles Bernick2 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Washington - Seattle, Seattle, WA, United States |
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In this study, we investigated the spatial extent and location of white-matter (WM) disorganization due to repeated head impacts (RHI) by estimating single-tensor (ST) diffusion MRI (dMRI)-measures along with free-water (FW)-corrected ST measures, diffusion kurtosis imaging (DKI), and Neurite Orientation Dispersion and Density Imaging (NODDI) measures, along with understanding the correlation of such voxelwise measures with exposure to fighting and neuropsychological scores. Overall, our findings suggest that WM disorganization is prevalent in thalamocortical and corpus-callosum fibers due to RHI, although, the spatial extent and location of these differences are heavily dependent on the dMRI-models utilized in the study. |
| 1058 | Hippocampal and Anterior Cingulate Blood Flow is Associated with Affective Symptoms in Chronic Traumatic Brain Injury | |
| Binu P. Thomas1,2, Takashi Tarumi3,4, Ciwen Wang3, David C. Zhu5, Tsubasa Tomoto4, C. Munro Cullum3,6,7, Marisara Dieppa3, Ramon Diaz-Arrastia8, Kathleen Bell9, Christopher Madden6, Rong Zhang3,4, and Kan Ding3 | ||
1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States, 3Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 4Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, United States, 5Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI, United States, 6Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, United States, 7Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United States, 8Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 9Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Chronic Traumatic-brain-injury (TBI) has lifelong implications on brain function. It is characterized by cerebral-blood-flow (CBF) deficits, often accompanied by TBI-related symptoms. It is crucial that we understand mechanisms of CBF alterations and its association with TBI-symptoms. We observed CBF deficits in patients with TBI in the thalamus, hippocampus and other subcortical structures compared to a group of normal control participants. Furthermore, CBF in the hippocampus and anterior cingulate were negatively associated with TBI-related symptoms of anxiety, depression, fatigue and sleep issues. Our results suggest that regional CBF deficits may be useful biomarkers for perfusion-targeted therapies to ameliorate TBI-related symptoms. |
| 1059 | Analysis and visualisation of physiological changes before and after a mild Traumatic Brain injury | |
| Catherine Emata*1, Eryn Kwon*2,3, Maryam Tayebi3, Leo Dang2,4, Adam Donaldson5, Vickie Shim3, Allen Champagne6, Itamar Terem7,8, Alan Wang2,3,4, David Dubowitz 2,9,10, Sarah-Jane Guild11, Miriam Scadeng 2,4,10, and Samantha Holdsworth2,4 | ||
1University of Auckland, Auckland, New Zealand, 2Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand, 3Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 4Centre for Brain Research, University of Auckland, Auckland, New Zealand, 5Mechatronics Engineering, University of Canterbury, Christchurch, New Zealand, 6Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada, 7Electrical Engineering, Stanford University, Stanford, CA, United States, 8Structural Biology, Stanford University, Stanford, CA, United States, 9Centre for Advanced MRI, University of Auckland, Auckland, New Zealand, 10Center for functional MRI, University of California, San Diego, CA, United States, 11Physiology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand |
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Three advanced sequences were used in conjunction to characterize the physiological changes associated with a mild traumatic brain injury. Amplified Magnetic Resonance Imaging (aMRI) is a motion detection and visualization technique, and is used to amplify pulsatile brain motion. Four-dimensional Flow Magnetic Resonance Imaging (4D flow MRI) is a sequence utilised to analyse and visualise blood flow, while diffusion MRI (dMRI) delineates features of tissue microstructure. Findings included diffusion changes, an increase in blood velocity, and a change in the profile of blood flow to the brain in the carotid arteries, along with increased parenchymal micro-displacements within the brain. |
| 1060 | White Matter Microstructural Alterations In Contact-Sport Athletes With And Without Concussion: A Multi-Shell Diffusion Study | |
| Sohae Chung1,2, Junbo Chen3, Tianhao Li3, Yao Wang3, and Yvonne W. Lui1,2 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Electrical and Computer Engineering, NYU Tandon School of Engineering, Brooklyn, NY, United States |
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There is growing concern that there may be negative effects on the brain from repetitive head impacts as well as sport-related concussion (SRC). Here, we demonstrate widespread white matter microstructural differences between contact-sport athletes and non-contact sport controls using multi-shell diffusion MRI. Importantly, microstructure differences were present in contact-sport athletes both with and without concussion, suggesting that exposure to multiple head impacts effects brain microstructure. Decreased radial diffusivity (RD) and extra-axonal radial diffusivity (D$$$e,\perp$$$) and increased fractional anisotropy (FA) suggest pathologies such as cytotoxic edema may be present acutely after injury. |
| 1061 | Radio-chemotherapy induced toxic leukoencephalopathy: ultra-high field MR findings | |
| Laura Biagi1,2, Rosa Pasquariello1, Raffaello Canapicchi 1, Chiara Ticci3, Claudia Dosi3, Graziella Donatelli2,4, Mauro Costagli1,2, Mirco Cosottini2,4,5, Roberta Battini3,6, Michela Tosetti1,2, and Network IDEA7 | ||
1Laboratory of Medical Physics and Magnetic Resonance, IRCCS Fondazione Stella Maris, Pisa, Italy, 2Imago7 Research Foundation, Pisa, Italy, 3Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy, 4Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy, 5Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy, 6Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy, 7Italian DEvelopmental Age Health Network (IDEA Network), Rome, Italy |
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The affirmation of the role of UHF MRI in the clinical setting requires the demonstration of its diagnostic and prognostic power, especially in the context of fields not yet sufficiently explored, such as diseases of pediatric age. This study presents a single case of radio-chemotherapy induced leukoencephalopathy in which UHF-MRI demonstrated its added value compared to traditional MR imaging in the characterization of lesions and in the detailed delineation of their localization. |
| 1062 | Central vein sign occurrence on FLAIR* in neuropsychiatric systemic lupus erythematosus patients | |
| Francesca Inglese1, Kenneth Hergaarden1, Pierre-Louis Bazin2, Gerda M. Steup-Beekman3, Tom J.W. Huizinga3, Jeroen de Bresser1, and Itamar Ronen1 | ||
1Department of radiology, Leiden University Medical Center, Leiden, Netherlands, 2Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands, 3Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands |
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The central vein sign (CVS) is an imaging biomarker useful in multiple sclerosis (MS) diagnosis and to differentiate MS from other autoimmune diseases with inflammatory lesions, such as systemic lupus erythematosus with neuropsychiatric events (NP). The prevalence of CVS in SLE patients experiencing NP is unknown. We examined 16 NPSLE patients for presence of CVS using FLAIR* images, generated from FLAIR images acquired at 3T and T2*-weighted images acquired at 7T. Out of 491 white matter lesions, we found 4 confirmed and 1 suspected CVS lesions. Our data suggests that CVS may be present in random occurrence in NPSLE. |
| 1063 | Parahippocampal gyrus neuroanatomical and functional connectivity alterations in mTBI at the acute stage：a VBM and rsfMRI study | |
| wenjing huang1, jing zhang2, wanjun hu2, guangyao liu2, yanli jiang2, and shaoyu wang3 | ||
1Second Clinical School, Lanzhou University, Lanzhou, China, 2Lanzhou University Second Hospital, Lanzhou, China, 3Siemens Healthineers, Shanghai, China |
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mTBI is not a static event, but a progressive injury. The neuroanatomical and functional alterations of mild traumatic brain injury (mTBI) at the acute stage can be an initial step of damages leading to cognitive and emotional deficit which can be developed in future in long-term period of injury. We analyzed early alterations in the gray matter volume (GMV) and functional connectivity (FC) alterations of mTBI patients within 7 days after injury, and found that early disruptions in left parahippocampal gyrus may appear in mTBI, which might be potentially related to the cognitive and emotional impairments. |
| 1064 | Hypothesis-driven or regression-driven machine learning? What technique to choose? Insights from Professional Fighters Brain Health Study | |
| Virendra R Mishra1, Xiaowei Zhuang1, Dietmar Cordes1, Aaron Ritter1, and Charles Bernick2 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Washington - Seattle, Seattle, WA, United States |
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Whether routinely obtained T1-derived volumetric and cortical thickness measures can identify boxers with neuropsychological impairment using machine-learning (ML) techniques in active male boxers is currently unknown. We utilized conventionally acquired MPRAGE data from 72 impaired and 72 nonimpaired boxers, and identified regions that have significantly different cortical thickness, volumetric differences, and cortical thickness and brain volumes correlated with exposure to fighting and neuropsychological scores. Further, we investigated whether these regression-defined regions or prior hypothesis-defined brain regions can identify boxers with neuropsychological deficits. Hypothesis-driven regions with random forest algorithm outperformed other ML techniques with either regression of hypothesis-driven feature selection. |
| 1065 | An application of BOLD-fMRI on functional changes in shenmen and neiguan electroacpunctured population with chronic partial sleep-deprivation | |
| Wang Chunyan1, Qiu Ganbin1, Weiyin Vivian Liu2, and Ma Liheng1 | ||
1Medical Imaging, the first affiliated hospital of Guangdong pharmaceutical university, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, Beijing, China |
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An application of BOLD-fMRI on functional changes in shenmen and neiguan electroacpunctured population with chronic partial sleep-deprivation |
| 1066 | Altered structural asymmetries of mild white matter injury in preterm infants with different cognitive outcomes | |
| Miaomiao Wang1, Xianjun Li1, Congcong Liu1, Xiaoyu Wang1, Mengxuan Li1, Cong Tian1, Peiyao Chen1, Chao Jin1, Xiaocheng Wei2, and Jian Yang1 | ||
1Department of Diagnostic Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi‘an, China, 2MR Research China, GE Healthcare, Beijing, China |
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Punctate white matter lesions (PWMLs) are common in the preterm. The mild PWMLs may result in cognitive impairments and lesion location is closely associated with neurodevelopmental outcomes. Cognition is a high-order function with multiregional information integration and functional hemispherical lateralization. Therefore, this study aims to investigate the white matter (WM) asymmetries of mild PWMLs in preterm infants with different cognitive outcomes at a corrected age of 6 months by diffusion tensor imaging. Left lateralization of WM development is obviously reduced in mild PWMLs with cognitive delay, while WM asymmetries of PWMLs with normal cognition score are similar with controls. |
| 1067 | GABA and Glu in posterior cingulate cortex of mild TBI patients: MEGA-PRESS and TE averaged PRESS study with spectral averaging | |
| Andrei V. Manzhurtsev1,2,3, Peter Bulanov3, Maxim Ublinskiy1,2, Petr E. Menshchikov2,4, Alexey Yakovlev1,2, Tolib Akhadov1,3, and Natalia Semenova1,2,3,5 | ||
1Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russian Federation, 2Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russian Federation, 3Moscow State University, 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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In this study, GABA and Glu are measured in the posterior cingulate cortex (PCC) of children with acute mTBI using MEGA-PRESS and TE averaged PRESS. Spectra were processed individually and after between-subject group averaging. The results demonstrate the increase in Glu without glutamine contribution and the stability of GABA without macromolecule contamination which means that the excitatory-inhibitory neurotransmitter balance is shifted towards excitation in the cerebral region studied. Spectral averaging over groups of participants recommends itself as a powerful tool, if used with proper preprocessing steps. |
| 1068 | Blast-Induced Neurotrauma Results in Spatially Distinct Gray Matter Alteration alongside Hormonal Alteration | |
| Sarah Hellewell1 and Ibolja Cernak2 | ||
1Curtin University, Nedlands, Australia, 2Mercer University, Macon, GA, United States |
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Blast-induced neurotrauma (BINT) occurs frequently in military personnel, who are also vulnerable to occupational stress. This study compared Canadian Armed Forces members/Veterans with a history of BINT to emergency first responders, performing voxel-based morphometry on T1-weighted images to examine gray matter alteration, and assessment of stress-related hormones to delineate BINT effects from stress. We found widespread, symmetric loci of reduced gray matter volume specific to BINT, which occurred alongside significant increases in testosterone, cortisol and the testosterone/cortisol ratio. These results indicate that BINT may cause structural and endocrine alterations unseen in emergency service workers who experienced occupational stress alone. |
| 1069 | Study of brain abnormalities in Myalgic Encephalomyelitis /Chronic Fatigue Syndrome patients using diffusion tensor imaging | |
| Kiran Thapaliya1,2, Donald Staines1, Sonya Marshall-Gradisnik1, and Leighton Barnden1 | ||
1Griffith University, Gold Coast, Australia, 2Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia |
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Myalgic Encephalomyelitis (ME)/Chronic fatigue syndrome (CFS) patients suffer from a variety of physical and neurological complaints indicating the central nervous system plays a role in ME/CFS pathophysiology. Structural and functional magnetic resonance imaging have been used to identify the pathomechanism of ME/CFS However, changes in tissue microstructure to understand the pathomechanism of ME/CFS using diffusion tensor imaging (DTI) have not been fully investigated. Our DTI study showed abnormality of the brain stem in ME/CFS patients relative to healthy controls. |
| 1070 | Effects of vibration on cerebral blood flow using 3D arterial spin labeling imaging | |
| Linghan Kong1, Suhao Qiu1, Zhao He1, RunKe Wang1, Yu Chen1, Qiang He2, and Yuan Feng1 | ||
1Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Shanghai United Imaging Healthcare Co Ltd, Shanghai, China |
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The relation between vibration and brain injury is still largely unknown. We applied a 30Hz vibration to brain and measured the cerebral blood flow (CBF) change using 3D arterial spin labeling perfusion imaging (3D-ASL). Results showed a decrease of CBF both regionally and globally after the vibration. This provided clues to understand the mechanism of traumatic brain injury. |
| 1071 | Separate NAAG and NAA quantification after pediatric mild traumatic brain injury in the acute phase. | |
| Anna Ivantsova1, Petr Menshchikov1,2,3, Andrei Manzhurtsev1,3, Maxim Ublinskii1,3, Alexey Yakovlev1,3,4, Ilya Melnikov1, Dmitrii Kupriyanov2, Tolib Akhadov1, and Natalia Semenova1,3,4 | ||
1Clinical and Research Institute of Emergency Paediatric Surgery and Traumatology, Moscow, Russian Federation, 2Clinical Science, LLC Philips Healthcare, Moscow, Russian Federation, 3Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russian Federation, 4Semenov Institute of Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation |
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The main finding of the study is that the tNAA signal reduction in WM after mTBI is associated with a decrease in the NAAG concentration rather than a decrease in the NAA concentration, as was thought previously. This finding highlights the importance of separating these signals, at least for WM studies, to avoid misinterpretation of the results. NAAG plays an important role in selectively activating mGluR3 receptors, thus providing neuroprotective and neuroreparative functions immediately after mTBI. NAAG shows potential for the development of new therapeutic strategies for patients with injuries of varying severity |
| 1072 | Exploring the Application of an Advanced-Diffusion-Model-Based Radiomics Model in detecting radiation-induced brain injury | |
| Mengzhu Wang1 and Weike Zeng2 | ||
1MR Scientific Marketing, Siemens Healthcare, Guangzhou, China, 2Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China |
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The aim of this study was to elucidate a multiple diffusion-model-based radiomics model in detecting radiation-induced brain injury (RI). We used diffusion features derived from DTI, DKI, NODDI and MAP-MRI models and chose LR as the classifier to construct a prediction model. The results showed that the most accurate prediction was achieved by incorporating the DKI-AD and RTPP into a nomogram, with AUC and accuracy reached 0.8356 and 0.8182. |
| 1272 | Precise localization of Deep brain nuclei in MNI-space guided by Hybrid Multi-modal MRI Brain Atlas | |
| Chenyu He1, Xiaojun Guan2, Boliang Yu1, Hongjiang Wei3, and Yuyao Zhang1,4,5 | ||
1School of Information Science and Technology, ShanghaiTech University, Shanghai, China, 2Department of Radiology, The Second Affiliated Hospital, Zhejiang, University School of Medicine, Hangzhou, China, 3Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai, Jiao Tong University, Shanghai, China, 4Shanghai Engineering Research Center of Intelligent Vision and Imaging, ShanghaiTech University, Shanghai, China, 5iHuman Institute, ShanghaiTech University, Shanghai, China |
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Our work successfully provides precious manual depiction of typical DBNs in the standard MNI space with the guidance of constructed MNI-spaced average multi-modal template (T1-weighted and quantitative susceptibility mapping (QSM)). 10 pairs of DBN and their sub-nuclei, are manually depicted including caudate nucleus (CN), putamen (Pu), ventral pallidum (VP), globus pallidus (GP) (internal and external divisions, GPi & GPe), nucleus accumbens (NAC), subthalamic nucleus (STN), substantia nigra (SN) (substantia nigra pars compacta (SNc) & substantia nigra pars reticulata (SNr)) and red nucleus (RN). |
| 1273
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Multi-contrast Brain Image Registration for Low-contrast Paediatric Magnetic Resonance Imaging | |
| Cassandra M.J. Wannan1, Shane Tonissen2, Bruce Tonge3, Efstratios Skafidas 1,2, Christos Pantelis1,2, and Warda T. Syeda1 | ||
1Melbourne Neuropsychiatry Centre, The University of Melbourne, Parkville, Australia, 2Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Australia, 3Psychiatry Monash Health, Faculty of Medicine, Nursing and Health Sciences School of Clinical Sciences, Monash University, Melbourne, Australia |
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A multi-contrast brain imaging technique has been presented, that leverages information from T1- and T2-weighted images to register iso-intense paediatric MRI data. The proposed method is applied to T1-weighted images of 6-months old infants, and the performance is evaluated in comparison to commonly employed single-contrast registration techniques. |
| 1274 | Comprehensive Human Brain Imaging Enhancement with the Single-frequency Excitation Wideband MRI (SE-WMRI) Technique | |
| Jordan Wang1, Po-Wei Cheng1, Ming-Jang Chiu2, Tzi-Dar Chiueh3, and Jyh-Horng Chen3 | ||
1Graduate institute of biomedical electronics and bioinformatics, National Taiwan University, Taipei, Taiwan, 2National Taiwan University Hospital, Taipei, Taiwan, 3Department of electrical engineering, National Taiwan University, Taipei, Taiwan |
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The Single-frequency Excitation Wideband MRI (SE-WMRI) technique was implemented on a Siemens PRISMA 3T human MRI system to demonstrate its multifaceted benefits for human brain imaging, including acceleration, SNR improvement, and spatial resolution enhancement. The accelerated Wideband brain results showed high consistency with standard scans, and the resolution enhanced Wideband images revealed more detailed brain structures details and clearer blood vessel due to reduced partial volume effect. Since SE-WMRI can enhance MR efficiency without any hardware upgrade, it’s highly cost-effective for medical institutions in pursuit of higher MR imaging quality. |
| 1275 | Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance – A Prospective, Multicenter Trial | |
| Suzie Bash1, Long Wang2, Chris Airriess3, Sara Dupont2, Greg Zaharchuk4, Enhao Gong2, Tao Zhang2, Ajit Shankaranarayanan2, and Lawrence Tanenbaum5 | ||
1Neuroradiology, RadNet, Woodland Hills, CA, United States, 2Subtle Medical, Menlo Park, CA, United States, 3Cortechs.ai, San Diego, CA, United States, 4Stanford University, Stanford, CA, United States, 5RadNet, New York, NY, United States |
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In this prospective, multireader, multicenter study, we explore the impact of deep learning (DL) enhancement of 60% accelerated 3D T1 weighted brain MR image acquisitions. We found that the DL processed images demonstrated high volumetric quantification accuracy, matched clinical disease status predictability, and provided what readers perceived as superior image quality when compared with the longer standard-of-care exams, suggesting good generalizability, accuracy, and potential utility of DL enhancement in routine clinical settings. The results of this trial support the use of DL enhancement to shorten clinical MR brain examinations, even when additional quantitative tools such as volumetric analysis are applied. |
| 1276 | T2 Mapping of the Cranial Nerves with Multi-Interleaved X-prepared Turbo-spine Echo with Intuitive Relaxometry (MIXTURE) FLAIR | |
| Hajime Yokota1, Takayuki Sakai2, Masami Yoneyama3, Yansong Zhao4, and Takashi Uno1 | ||
1Department of Diagnostic Radiology and Radiation Oncology, Chiba University, Chiba, Japan, 2Department of Radiology, Eastern Chiba Medical Center, Togane, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare, Cleveland, OH, United States |
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Multi-Interleaved X-prepared tse with inTUitive Relaxometry (MIXTURE) is a 3D TSE sequence that can produce high-resolution morphology images and T2 map simultaneously. The purpose of this study was to evaluate MIXTURE FLAIR for T2 measurement of the cranial nerves. MIXTURE FLAIR produced reliable T2 values in the fantom study. The variance of T2 value measured by MIXTURE FLAIR was relatively small, and the T2 value was significantly smaller than multi-echo TSE and MIXTURE T2 in the volunteer study. MIXTURE FLAIR enabled the T2 value measurement of the cranial nerves, which was not previously feasible. |
| 1277 | Interleaved Black- and Bright-Blood Acquisition for Automatic Brain Metastasis Detection using Deep Learning Convolutional Neural Network | |
| Makoto Obara1, Yoshitomo Kikuchi2, Akio Hiwatashi2, Alexander Fischer 3, Yuta Akamine1, Tetsuo Ogino1, Masami Yoneyama1, Ronee Asad1, Yu Ueda1, Jihun Kwon1, and Marc Van Cauteren4 | ||
1Philips Japan, Tokyo, Japan, 2Departments of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Philips GmbH Innovative Technologies, Aachen, Germany, 4Philips Healthcare, Tokyo, Japan |
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Volume isotropic simultaneous interleaved bright- and black-blood examination (VISIBLE) is an established approach for brain metastasis screening. We investigated the potential of VISIBLE in deep learning model development. The results suggest VISIBLE’s usefulness for automatic metastasis detection. |
| 1278 | Performance of data driven learned sampling patterns for accelerating brain 3D-T1ρ MRI | |
| Rajiv G Menon1, Marcelo V.W. Zibetti1, and Ravinder R. Regatte1 | ||
1New York University Langone Health, New York, NY, United States |
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3D-T1ρ has many useful biomedical applications but requires long data acquisition times. The goal of the study was to apply a fast data-driven optimization approach, bias- accelerated subset selection (BASS), to generate optimal sampling patterns (SPs) for compressed sensing (CS) reconstruction for brain 3D-T1ρ MRI. Five healthy volunteers were recruited and fully sampled (FS) Cartesian, 3D-T1ρ MRI was obtained. The performance of Poisson disc (PD) and optimized SP were compared using normalized root mean square error (NRMSE). The data-driven optimized SP provides upto 2 times (NRMSE=0.09 optimized SP vs 0.18 PD-SP) improvement in images at the highest AFs tested. |
| 1279 | A Multiblock Partial Least Squares Correlation Framework for Covariate Adjustment and Interpretation of Latent Associations in Multimodal Data | |
| Warda T. Syeda1, Bjørn H. Ebdrup1,2,3, Cassandra M.J. Wannan1, Micah Cearns1, Rigas Soldatos1, Antonia Merritt1, Mahesh Jayaram 1, Andrew Zalesky 1, Jayachandra M. Raghava2,4, Birgitte Fagerlund 2, Egill Rostrup 2, Birte Glenthøj 2,3, Leigh A. Johnston5,6, Chad Bousman 1,7, Ian Everall8, Efstratios Skafidas 1,9, and Christos Pantelis1,9 | ||
1Melbourne Neuropsychiatry Centre, The University of Melbourne, Parkville, Australia, 2Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Glostrup, Denmark, 3Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Denmark, Denmark, 4Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Glostrup, Denmark, 5Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia, 6Melbourne Brain Centre Imaging Unit, The University of Melbourne, Parkville, Australia, 7Departments of Medical Genetics, Psychiatry, and Physiology & Pharmacology, University of Calgary, Calgary, AB, Canada, 8Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom, 9Electrical and Electronic Engineering Department, The University of Melbourne, Parkville, Australia |
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Partial least squares (PLS) methods enable identification of multimodal patterns of latent associations between neuroimaging, cognitive, functional and clinical measures. Here, we propose a multiblock PLS correlation (MB-PLS-C) technique to enable covariate representation in the latent space and an interpretation framework to assess results from PLS-C analyses in clinical contexts. We investigate latent structure-cognition patterns in a multivariate dataset of individuals with treatment-resistant schizophrenia and healthy controls using the proposed MB-PLS-C method, and compare with standard PLS-C with and without covariate adjustment through residualization. |
| 1280 | Concordance of Regional Hypoperfusion by ASL MRI and 15O-water PET in Frontotemporal Dementia: Is ASL an Efficacious Alternative? | |
| Tracy Ssali1, Lucas Narciso1,2, Justin Hicks1,2, Matthais Günther3, Frank Prato1,2, Udunna Anazodo1,2, Elizabeth Finger4, and Keith St Lawrence1,2 | ||
1Lawson Health Research Institute, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada, 3Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany, 4Department of Clinical Neurological Sciences, Western University, London, ON, Canada |
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The ability of arterial spin labeling (ASL) to detect perfusion abnormalities in clinical populations can be limited by poor signal to noise and transit-time artefacts. This is evident in studies involving frontotemporal dementia patients, where reports on the diagnostic value of ASL have been inconsistent. This study presents a head-to-head comparison of regional hypoperfusion detected by ASL and PET with radiolabeled water (15O-water), the gold standard for measuring CBF. T-maps depicting hypoperfusion were generated using absolute and relative CBF. There was good agreement between regional hypoperfusion identified by ASL and 15O-water, particularly for relative CBF maps which reduced inter-subject variability. |
| 1281 | The relationship between Cerebrovascular Reactivity and baseline Cerebral Blood Flow: the effect of acquisition and analysis choices | |
| Rachael C Stickland1, Kristina M Zvolanek1,2, Stefano Moia3,4, Apoorva Ayyagari1,2, César Caballero-Gaudes3, and Molly G Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States, 3Basque Center on Cognition, Brain and Language, Donostia, Spain, 4University of the Basque Country EHU/UPV, Donostia, Spain |
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Blood Oxygen Level Dependent (BOLD) signals can be modulated by the baseline vascular and metabolic state. Understanding how baseline vascular physiology relates to dynamic neurovascular processes will lead to more accurate interpretations of BOLD Cerebrovascular Reactivity (CVR) measurements. We investigated the relationship between baseline Cerebral Blood Flow (bCBF) and BOLD-CVR, generally reporting positive correlations. Optimizing for vascular delays, and modelling with simple breathing task data, can improve CVR correlations with bCBF. Future work should investigate individual differences and include larger samples. |
| 1282 | Image-based self-gating for motion artifact free imaging of the eye | |
| Kilian Stumpf1, Hanna Frantz1, Patrick Metze1, Thomas Hüfken1, Tobias Speidel1, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany |
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MR acquisitions of the eyes are often complicated by eye motions leading to the occurrence of motion artifacts in the images. Using a tiny golden angle profile ordering scheme and a sliding window reconstruction the position of the optic nerve is identified and tracked via peak analysis of signal intensities along a 1-D-line containing the optic nerve. An image-based self-gating signal is derived from the calculated nerve locations. This approach not only leads to distinct reduction of motion artifacts but also enables the visualization of various motion phases occurring during the data acquisition without the use of external tracking devices. |
| 1283 | Combined cluster analysis of time evolution and tissue type with total variation denoising (CCTV) for QQ-based oxygen extract fraction mapping | |
| Junghun Cho1, Pascal Spincemaille1, Thanh D Nguyen1, Ajay Gupta1, and Yi Wang1,2 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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A Combined Cluster analysis of time evolution and tissue type with Total Variation denoising (CCTV) was developed to suppress noise propagation in oxygen extraction fraction (OEF) maps based on the QSM+qBOLD (QQ) model of multi-echo gradient echo data without vascular challenge. Compared to cluster analysis of time evolution (CAT), the developed CCTV provided more accurate OEF in simulation and greater contrast to noise ratio between lesion and its healthy contralateral side in ischemic stroke patients. |
| 1284 | Impact of b-value on the estimation of white matter fiber orientation dependent R2* | |
| Melanie Bauer1,2, Celine Berger1,2, Claudia Lenz1,2, Eva Scheurer1,2, and Christoph Birkl3 | ||
1Institute of Forensic Medicine, Biomedical Engineering, University of Basel, Basel, Switzerland, 2Institute of Forensic Medicine, Health Department Basel-Stadt, Basel, Switzerland, 3Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria |
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To generate precise diffusion images in post mortem MRI, higher b-values are necessary than for in vivo MRI due to decreased diffusion. In this study, the influence of different b-values on the fiber orientation dependency of R2* was assessed in 12 post mortem and 4 in vivo cases. Our results show that R2* values are higher but their orientation dependency is lower post mortem than in vivo. However, the chosen b-values did not affect the estimation of the white matter fiber angle and, hence, the orientation dependency of R2* for both post mortem in situ and in vivo MRI. |
| 1285 | NORDIC denoising before image reconstruction. | |
| Steen Moeller1, Cheryl Olman2, Luca vizioli1, Logan Dowdle1, Essa Yacoub1, Mehmet Akcakaya1,3, and Kamil Ugurbil1 | ||
1University of Minnesota, MINNEAPOLIS, MN, United States, 2Psychology, University of Minnesota, MINNEAPOLIS, MN, United States, 3ELECTRICAL AND COMPUTER ENGINEERING, University of Minnesota, Minneapolis, MN, United States |
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Investigating the utility of using the recently proposed NORDIC denoising prior to GRAPPA based unaliasing, for establishing the feasibility of integration with deep learning image reconstruction techniques. |
| 1286 | Influence of equipment changes on a longitudinal trial | |
| Ken Sakaie1, Janel Fedler2, Jon Yankey2, Kunio Nakamura1, Josef Debbins3, Mark J. Lowe1, Paola Raska1, and Robert J. Fox1 | ||
1The Cleveland Clinic, Cleveland, OH, United States, 2University of Iowa, Iowa City, IA, United States, 3Barrow Neurological Institute, Phoenix, AZ, United States |
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There is an urgent need for imaging biomarkers to develop new therapies for progressive multiple sclerosis. Hardware upgrades can confound the outcomes of imaging in clinical trials of such therapies. We examine different analytic approaches to evaluating the impact of and correcting for the effects of hardware changes in a retrospective analysis of SPRINT-MS, a multi-center clinical trial. Brain parenchymal fraction (BPF), a measure of atrophy, and transverse diffusivity (TD), a measure of demyelination are examined. |
| 1287 | Rapid Whole-Brain Myelin Mapping via Selective Inversion Recovery and Compressed SENSE | |
| Ping Wang1, Nicholas Sisco1, and Richard Dortch1 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States |
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There is a significant need for specific biomarkers of myelin damage and repair. Quantitative magnetization transfer (qMT) using selective inversion recovery (SIR) is able to quantify the macromolecular-to-free proton pool size ratio (PSR), which has been shown to relate closely with myelin content and disability. For clinical applications, SIR is often hampered by long scan times. As a result, we employed compressed sensing and parallel imaging to significantly reduce scan times, with little effect on the precision and accuracy of PSR estimates in white matter. |
| 1288 | Reproducibility and Multi-vendor Accuracy Comparison of T1- and T2- Mapping Using 2D and 3D Synthetic MRI with GRAPPA, SENSE and Compressed Sense | |
| Maarten Naeyaert1, Tim Vanderhasselt1, Marcel Warntjes2, and Hubert Raeymaekers1 | ||
1Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium, 2SyntheticMR AB, Linköping, Sweden |
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To evaluate intra- and inter-scan repeatability of quantitative scans, T1-, T2- and PD maps were acquired simultaneously using the 2D multi-delay-multi-echo sequence and the 3D-QALAS sequence, for 3T scanners of three different manufacturers. All scans were acquired with and without acceleration factor of 2, using GRAPPA, SENSE or compressed sensing, depending on the vendor. On one scanner measurements were repeated 10 times. The estimated values using synthetic MRI were compared to the reference values of the ISMRM-NIST phantom. The results for T1- and T2- mapping show a linear curve close to the reference values, with good reproducibility. |
| 1289 | Improving T1-weighted MRI brain images by optimizing differential identifiability | |
| Bradley Fitzgerald1, Kausar Abbas2, Thomas M. Talavage1,3, and Joaquin Goni2 | ||
1Electrical & Computer Engineering, Purdue University, West Lafayette, IN, United States, 2Industrial Engineering, Purdue University, West Lafayette, IN, United States, 3Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States |
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Analysis of scan-rescan subject identifiability of T1 anatomical brain MRI could provide insight into intersession differences. Here we examine a principal component analysis-based method of maximizing differential identifiability and its effect on T1 brain images with and without added noise. We demonstrate that differential identifiability can be maximized via dataset reconstruction with reduced principle components. This reconstruction results in increased similarity between repeated scans for a given subject as well as apparent reduced intersession noise in images. We conclude that further analysis of maximized differential identifiability could provide insight for future applications in reducing intersession MRI noise. |
| 1290 | GAN-based analysis for investigation of disease specific image pattern in SWI data of patients suffering from multiple sclerosis | |
| Alina Lopatina1,2, Stefan Ropele3, Renat Sibgatulin1, Jürgen R Reichenbach1,2,4, and Daniel Güllmar1 | ||
1Medical Physics Group / IDIR, Jena University Hospital, Jena, Germany, 2Michael-Stifel-Center for Data-Driven and Simulation Science, Jena, Germany, 3Department of Neurology, Medical University of Graz, Graz, Austria, 4Center of Medical Optics and Photonics Jena, Jena, Germany |
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We propose a method to transform susceptibility-weighted images of multiple sclerosis (MS) patients to images reflecting healthy volunteers based on generative adversarial networks (GANs). This method helps to identify MS by changing voxel information corresponding to the disease. The results showed that voxels around the central veins and ventricles are identified as MS-specific by the method. This finding may contribute to improvements in MS diagnosis and encourage future studies based on the presented findings. |
| 1291 | 3D Quantitative MRI of the Brain: Effects of B1 Inhomogeneity in 3D-QALAS | |
| Anders Tisell1,2, Peter Lundberg1,2, Marcel Jan Bertus Warntjes1, and Frederik Testud3 | ||
1CMIV, Linköping University, Linköping, Sweden, 2Medical Radiation Physics, Linköping University, Linköping, Sweden, 3Siemens Healthcare AB, Malmö, Sweden |
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We have implemented the 3D QALAS sequence for a 3 T MR-scanner and validated the accuracy and evaluated the effect of B1+ inhomogeneities on the resulting R1 and R2 estimations. When using a small flip angle of 4° the determined R1 and R2 maps showed a high accuracy; however, for 10° there was a significant bias and dependence on B1+ inhomogeneities. |
| 1292 | Hippocampal segmentation from 7T images showed reduced subfields volume in Sickle Cell Disease subjects | |
| Tales Santini1, Minseok Koo1, Nadim Farhat1, Vinicius P. Campos2, Salem Alkhateeb1, Marcelo A. C. Vieira2, Meryl A Butters1, Caterina Rosano1, Howard J Aizenstein1, Joseph Mettenburg1, Enrico M. Novelli1, and Tamer S Ibrahim1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States, 2University of Sao Paulo, Sao Carlos, Brazil |
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Sickle cell disease (SCD) is an inherited hemoglobinopathy that can cause organ dysfunction such as cerebral vasculopathy and neurological complications. We explored whether SCD may be also associated with abnormalities in hippocampal subregions. We analyzed 7T MRI images from individuals with SCD and matched controls. Individuals with SCD had a significantly smaller volume of the DG+CA2+CA3 hippocampal region. Other hippocampal subregions also showed a trend towards smaller volumes in the SCD group. Further studies are necessary to investigate the mechanisms that lead to structural changes in the hippocampus subfields and their relationship with cognitive performance in SCD. |
| 1293 | Altered intrinsic brain functional network dynamics in patients with end-stage renal disease undergoing maintenance hemodialysis | |
| Baolin Wu1, Feifei Zhang1, Zhiyun Jia1,2, and Qiyong Gong1,3 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China, 3Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), Chengdu, China |
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Although patients with end-stage renal disease (ESRD) have shown disrupted connectivity within and between resting-state functional networks, the patterns of change in dynamic functional network connectivity (FNC) remain unclear. The present work is the first study to investigate the dynamic functional connectivity in patients with ESRD. Patients with ESRD showed state-specific FNC disruptions and altered dynamic FNC properties. Furthermore, the total number of transitions was related to cognitive performance in those patients. These findings provided new insights into the pathophysiological mechanism of their cognitive deficits. |
| 1294 | Diagnostic accuracy of ASL in comparison with DSC perfusion in the surveillance of different types of brain tumors | |
| Anna Lavrova1, Wouter Teunissen2, Esther Warnert2, Martin van den Bent3, Vladimir Cheremisin1, and Marion Smits2 | ||
1Radiology, Saint Petersburg University, Saint Petersburg, Russian Federation, 2Radiology, Erasmus MC, Rotterdam, Netherlands, 3Neurology, Erasmus MC, Rotterdam, Netherlands |
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Dynamic susceptibility contrast-enhanced (DSC) perfusion is an established standard in the assessment of brain tumor perfusion. This study aims to assess the feasibility of using non-contrast arterial spin-labeling (ASL) instead of DSC. |
| 1295 | Regional Brain Perfusion Changes in Cognition and Mood Regulatory Sites in Patients with Type 2 Diabetes Mellitus | |
| Bhaswati Roy1, Sarah Choi2, Matthew J. Freeby 3, and Rajesh Kumar1,4,5,6 | ||
1Anesthesiology, University of California Los Angeles, Los Angeles, CA, United States, 2School of Nursing, University of California Los Angeles, Los Angeles, CA, United States, 3Medicine, Endocrinology - Diabetes and Metabolism, University of California Los Angeles, Los Angeles, CA, United States, 4Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 5Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 6Brain Research Institute, University of California Los Angeles, Los Angeles, CA, United States |
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Patients with Type 2 diabetes mellitus (T2DM) show cognitive and mood changes, and brain tissue injury in those regulatory regions. However, underlying cause of tissue damage in cognition and mood regulatory sites, and their associations with these functional deficits in T2DM remain unclear. We evaluated cerebral blood flow (CBF) in T2DM patients over controls, and found changes in the frontal and prefrontal cortices, cerebellum, hippocampus, cingulate, insula, thalamus, and basal-forebrain, sites involved regulating mood and cognition. Significant correlations emerged between CBF and functional deficits in T2DM, including mood and cognition symptoms, implying the altered hemodynamic contributing to the functional deficits. |
| 1296 | Application of quantitative susceptibility mapping in assessment of iron content in brain regions of normal children | |
| Shilong Tang1 and Lisha Nie2 | ||
1Children's Hospital of Chongqing Medical University, Chongqing, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
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In the central nervous system, iron is a cofactor for many metabolic processes and aminergic neurotransmitter synthesis, and iron plays an important role in brain development from the fetal to adolescent stages. There have been many reports about the application of quantitative magnetic susceptibility mapping (QSM) to detect iron content in the normal adult brain at home and abroad and few reports about the application of QSM to detect iron content in the normal brain of children. |
| 1297
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Regional Brain Growth in Fetuses with Congenital Diaphragmatic Hernia | |
| Fedel Machado-Rivas1,2, Lina Acosta Buitrago3, Jungwhan J Choi1,2, Onur Afacan1,2, Clemente Velasco-Annis1, Simon K Warfield1,2, Ali Gholipour1,2, and Camilo Jaimes1,2 | ||
1Radiology, Boston Children's Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Universidad del Rosario, Bogota, Colombia |
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Brain growth trajectories of fetal subjects with congenital diaphragmatic hernia (CDH) were compared to typically developing fetuses. T2-weighted SSFSE acquisitions were reconstructed to a super-resolution volume and atlas-based segmentations of brain structures were propagated. Gestational age, sex, segment volumes, and morphological hernia metrics (for CDH subjects) were analyzed in 71 fetuses with CDH and in 50 controls. We found lower brain volumes relative to normal fetuses in the developing white matter, hippocampus, diencephalon, and deep gray structures. Metrics associated with greater hernia severity were associated with lower volumes. Furhermore, our analysis shows that right-sided hernias were associated with lower volumes. |
| 1298 | Inter-rater reliability of sciatic nerve evaluation with MR neurography: a comparison study of multiple sequences | |
| Ryuna Kurosawa1, Hajime Yokota2, Takafumi Yoda1, Takayuki Sada1, Koji Matsumoto1, Takashi Namiki3, Masami Yoneyama3, Yoshitada Masuda1, and Takashi Uno2 | ||
1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan |
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MR neurography (MRN) is a useful technique to evaluate damaged peripheral nerves showing increased signal intensity and enlarged nerve diameter. Although various MRN sequences have been developed, the inter-rater reliability of MRN have rarely been evaluated. Therefore, the purpose of this study was to evaluate inter-rater reliability of sciatic nerve evaluation with MRN sequences: T2WI, 3D-STIR, T2-FFE, 3D-iNerveVIEW, Diffusion-neurography, DTI, and pcDSDE. Measured diameters varied among the sequences. 3D-iNerveVIEW showed a high inter-rater reliability for signal measurements. In MRN, it is important to understand the characteristics of each sequence. |
| 1299
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White Matter fiber orientation dependent R2*: comparison between post mortem in situ and in vivo | |
| Celine Berger1,2, Claudia Lenz1,2, Melanie Bauer1,2, Eva Scheurer1,2, and Christoph Birkl3 | ||
1Institute of Forensic Medicine, Department of Biomedical Engineering, Basel, Switzerland, 2Institute of Forensic Medicine, Health Department Basel-Stadt, Basel, Switzerland, 3Department of Neuroradiology, Medical University of Innsbruck, Austria |
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White matter R2* imaging is sensitive to the fiber orientation with respect to the main magnetic field. This study compared fiber orientation dependent R2* of white matter in post mortem (pm) in situ and in vivo based on an identical technical approach using diffusion tensor imaging to estimate the fiber angle. R2* increased with increasing fiber angle in both groups, whereby a decreased R2* orientation sensitivity was observed post mortem compared to in vivo. This may be mainly caused by the decreased pm brain temperature compared to in vivo conditions leading to reduced diffusion and by tissue decomposition after death. |
| 1300
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Reproducibility of brain ultrashort-T2* component measurements in healthy volunteers | |
| Nikhil Deveshwar1,2 and Peder E. Z. Larson1,2 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, United States |
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This work presents a study detailing the reproducibility of ultrashort-T2* measurements using a novel UTE relaxometry method. Generated parameter maps show similar looking structures in terms of intensity and definition. Furthermore, the distributions of the ultrashort-T2* fractional component in various brain ROIs show similar distributions and have low coefficients of variance. These results suggest the proposed UTE relaxometry method is reproducible and can reliably measure parameters of the brain ultrashort-T2* component. |
| 1301 | Correlating Concussion-Related Symptoms to the Personalized MRI Assessment of Brain Abnormalities in Children | |
| Ethan Danielli1,2, David Stillo1,2, Rachelle Ho3,4, Carol DeMatteo3,5, Geoffrey B Hall4, Nicholas A Bock4, John F Connolly1,4,5,6, and Michael D Noseworthy1,2,5,7,8 | ||
1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 3School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada, 4Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada, 5ARiEAL Research Centre, McMaster University, Hamilton, ON, Canada, 6Department of Linguistics, McMaster University, Hamilton, ON, Canada, 7Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 8Department of Radiology, McMaster University, Hamilton, ON, Canada |
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Although concussion diagnosis is often subjective, DTI can effectively quantify brain white matter damage. In this study, demographic and DTI metrics were compared between 26 paediatric concussion subjects against 49 healthy age and sex matched controls. FA was significantly reduced in injured brain regions and correlated with younger age and worsened symptoms. RD was significantly increased in injured brain regions and correlated with younger age and the interaction between time to scan and PCSS score. Based on these results, age affects concussion severity in younger children resulting in worse symptoms and a greater number of abnormal brain regions. |
| 1302 | Cerebral perfusion network analysis to understand cognition in old age: a principal component analysis of ASL-MRI | |
| Jodi Karlyn Watt1,2,3, Stefan Pszczolkowski1,2,3, Yue Xing1,2,3, Christopher Tench1,2,3, Dorothee Auer1,2,3, and Alzheimer's Disease Neuroimaging Initiative4 | ||
1Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 4Alzheimer's Disease Neuroimaging Initiative, Los Angeles, CA, United States |
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A functional biomarker of age-related cognitive decline is yet to be elucidated but would be desirable to better understand detrimental and protective processes in order to promote cognitive health for the elderly. Challenges arise from multiple sources of variance across individuals and within brain perfusion maps with an unknown link between local or network function and clinical tests of global cognition. Principal Component Analysis provides the opportunity to address some of these knowledge gaps, by defining this relationship and relating this to underlying anatomical regions. |
| 1303 | Altered structural connectivity and impairment of brain network-cognition relationship in obstructive sleep apnea (OSA) | |
| Tasfiya Islam1, Mengting Liu1, Dae Lim Koo2, Ryan Cabeen1, Eunyeon Joo3, and Hosung Kim1 | ||
1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States, 2Department of Neurology, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of, 33Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Seoul, Korea, Republic of |
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Obstructive sleep apnea (OSA) possibly affects individuals cognitively. To identify potential neurocognitive drawbacks for these patients, diffusion MRI and T1 neuroimaging data were collected from 148 OSA and healthy subjects. Structural brain networks were constructed using diffusion MR images. Network topological characteristics and localized connectivity were performed on diffusion related network along with brain and behavior relationships. It was found that the OSA individuals generally had greater modularity network measure, and impaired connectivity in several regions in the frontal lobe. Also, some of the brain connections and behavior relationships that were established in healthy subjects were disrupted for OSA patients. |
| 1304
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QSM detects early alterations of brain venous blood oxygenation in fetuses with complex congenital heart diseases | |
| Cong Sun1, Aocai Yang1, Jiaguang Song2, Minhui Ouyang3, Jinxia Zhu4, Lei Xue5, Hao Huang3,6, and Gunagbin Wang1 | ||
1Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China, 2Ultrasound, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 3Radiology Research, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 4MR Collaboration, Healthcare Siemens Ltd., Beijing, China, 5MR Application, Siemens Healthineers Ltd., Jinan, China, 6Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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We investigated the early changes of brain oxygenic metabolism in fetuses with complex congenital heart disease (CHD) and in normal fetuses across gestational ages. Using quantitative susceptibility mapping (QSM), we measured the venous blood oxygen saturation (SvO2) in utero of 22 fetuses with complex CHD and 88 healthy pregnancy controls. The SvO2 in normal fetuses was found to have no age-related change. SvO2 values were significantly higher in the CHD fetuses (80.8%±4.6%) than in the gestational age-matched normal fetuses (75.7%±8.0%) (p=0.038); which is evidence of altered human fetal brain oxygenic metabolism during the early stages of brain development. |
| 1305 | Quantitative cerebral oxygenation mapping by MRI with whole brain coverage compared to PET | |
| Jan Kufer1, Christine Preibisch1,2, Samira Epp1, Jens Goettler1,3, Kilian Weiss4, Mikkel Bo Hansen5, Claus Zimmer1, Kim Mouridsen5, Fahmeed Hyder3, and Stephan Kaczmarz1,3 | ||
1Department of Neuroradiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany, 2Department of Neurology, School of Medicine, Technical University of Munich (TUM), Munich, Germany, 3Department of Radiology & Biomedical Imaging (MRRC), Yale University, New Haven, CT, United States, 4Philips Healthcare, Hamburg, Germany, 5Department of Clinical Medicine, Aarhus University, Aarhus, Denmark |
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Clinical imaging of the oxygen extraction fraction (OEF) is highly promising to improve stratification of patients with various neurological diseases. Measurement of OEF by multiparametric quantitative blood oxygen level dependent (mqBOLD)-MRI could greatly increase clinical applicability compared to the current gold standard PET. Furthermore, oxygen extraction capacity (OEC) has recently emerged as another MRI-based biomarker of cerebral oxygenation. However, studies comparing both MRI techniques to PET reference data are still lacking. Here, we present data from an MRI study in young healthy volunteers, demonstrating good agreement of both, MRI-based OEF and OEC, with PET data from a similar subject group. |
| 1306 | Carbogen-based Cerebrovascular Reserve Using BOLD-based fMRI of Human Brain : tissue, territorial and cortical specificity | |
| Tzu-chen Yeh1,2, Chou-ming Cheng3, and Chi-che Chou3 | ||
1Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, 2Institue of Brain Science, National Yang-Ming University, Taipei, Taiwan, 3Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan |
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Carbogen-based cerebrovascular reserve (CO2-CVR), derived from 90 normal subjects, was constructed for data-based approaches or analysis. Tissue, territorial and cortical specificities of CO2-CVR were evaluated by regions of interest (ROI) approaches. Global ratio of GM/WM CO2-CVR was about 1.57. Territorial and cortical specificities of CO2-CVR demonstrated (1) limited CO2-CVR in territories of posterior circulation which supported the pathophysiology of posterior reversible encephalopathy syndrome and (2) vital function in distal territories of anterior cerebral artery as verified by cortical parcellation with the highest of CO2-CVR at ventral portion of Brodmann area 23 (co-localized with posterior cingulate cortices of default mode network). |
| 1307 | Clinical Whole-Brain R2* and Quantitative Susceptibility Maps at 3T – Reproducibility and Parameter Optimization Towards Millimetric 5min Scan | |
| Thomas Troalen1, Arnaud Le Troteur2, Sylviane Confort-Gouny2, Patrick Vioux2, Claire Costes2, Lauriane Pini2, Jean-Philippe Ranjeva2, Maxime Guye2, and Ludovic de Rochefort2 | ||
1Siemens Healthcare SAS, Saint-Denis, France, 2CRMBM UMR7339 CNRS Aix-Marseille Université, Marseille, France |
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Advanced quantitative susceptibility mapping techniques allow to jointly estimate R2* and QSM in the brain. This work aims at comparing several multi gradient-recalled echo sequences in terms of coil setup and acceleration factors using available product sequences and modern hardware. In addition, an automatic and standardized post-processing pipeline is proposed for clinical studies. We show that quantitative values do not differ from the head coil and acceleration factor that were used, thus allowing for a millimetric whole brain coverage within 5 minutes scan time. |
| 1308 | Interhemispheric Functional Connectivity and 18F-fluatmetamol PET differentiate AD, amyloid and non-amyloid Mild cognitive decline | |
| Eva YW Cheung1, Patrick KC Chiu2, YF Shea2, Joseph SK Kwan3, and Henry KF Mak1 | ||
1The University of Hong Kong, Hong Kong, Hong Kong, 2Queen Mary Hospital, Hong Kong, Hong Kong, 3Imperial College London, London, United Kingdom |
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Interhemispheric functional connectivity and 18F-flutametamol PET |
| 1309 | Associations of Musical Aptitude with High Angular Resolution Diffusion Imaging (HARDI) derived structural connectivity | |
| Archith Rajan1, Apurva Shah1, Madhura Ingalhalikar1, and Nandini C Singh2 | ||
1Symbiosis Centre for Medical Image Analysis, Symbiosis International(Deemed) University, Pune, India, 2Language,Literacy and Music Lab, National Brain Research Centre, Gurgaon, India |
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Pre-existing structural connectivity could well explain predisposition to musical aptitude. The study aimed to associate Individual differences in High Angular Resolution Diffusion Imaging (HARDI) derived structural connectivity to music perception abilities as assessed by the performance in a music perception test. An increased whole brain connectivity was found to be associated with increased performance especially in the sequential music perception measures that comprised of Standard Rhythm, Embedded Rhythm, Accent and Melody. A prevalence of interhemispheric connectivity over intrahemispheric connectivity was also observed. Distinct structural connectivity patterns could thus be a determinant of sequential processing aptitude in music. |
| 1310 | Imaging intracortical structure using navigator-based, motion and B0-corrected T2*-weighted MRI at 7 T | |
| Jiaen Liu1, Peter van Gelderen1, Jacco A. de Zwart1, and Jeff H. Duyn1 | ||
1AMRI, LFMI, NINDS, National Institutes of Health, Bethesda, MD, United States |
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High-resolution T2*-weighted 7 T MRI can be used to delineate intracortical structure owning to its high signal-to-noise and contrast-to-noise ratio. However, subject motion remains a major challenge to obtain reliable high-resolution data; the long scan time and increased sensitivity of T2*-weighted signal at 7 T to motion and motion-induced B0 fluctuation make high-resolution T2*-weighted MRI particularly motion sensitive. In this study, the performance of a previously developed navigator-based motion and B0 correction approach was evaluated for intracortical imaging. |
| 1311 | Detecting normal Fetal brain development with T1Mapping Imaging Technique | |
| Yan-Chao Liu1, Bo-Hao Zhang2, De-Sheng Xuan2, Xue-Yuan Wang2, Kai-Yu Wang3, Xin Zhao2, and Xiao-An Zhang2 | ||
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Radiology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China, Zhengzhou, China, 3MR Research China, GE Healthcare, Beijing 100000, PR China, Beijing, China |
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Fetal brain development is an ongoing process, and it is necessary to find a sensitive monitoring tool to detect potential brain developmental abnormalities earlier. In this work, T1Mapping allowed quantitative assessment of fetal brain development. |
| 1491 | The effect of white matter signal abnormalities on default mode network connectivity in mild cognitive impairment | |
| Zhuonan Wang1, Victoria J Williams2, Kimberly A Stephens3, Chan-Mi Kim3, Ming Zhang4, and David Salat3 | ||
1PET/CT Unit, Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Charlestown, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 4Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China |
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The striking spatial overlap between regions of default mode network (DMN) and cortical areas most susceptible to Alzheimer's disease (AD)-related pathology and neurodegeneration, with alterations in DMN functional connectivity routinely observed among individuals with mild cognitive impairment (MCI). We examine the relative associations between white matter lesions of presumed vascular origin and cortical thinning typical of AD pathology with DMN integrity to elucidate mechanisms of disease. The degree of white matter damage may have a specific influence on precuneus and mPFC coupling and the observed preferential associations with white matter lesions support a vascular etiology to subtle impairment in MCI. |
| 1492 | Altered brain networks dynamics in first-episode drug-free schizophrenia | |
| Wanfang You1, Lekai Luo1, Qian Li1, Yuxia Wang1, Qiyong Gong1, and Fei Li1 | ||
1Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, chengdu, China |
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We investigated disturbances in dynamic functional connectivity (dFC) in whole-brain networks and altered dynamic functional topology of the brain regarding eigenvector centrality in first-episode drug-free patients with schizophrenia. By using resting-state functional magnetic resonance imaging (rf-MRI) data, schizophrenia was mainly manifested as prolonged dwell time in a state characterized by sparsely connected FCs and increased temporal variability of nodal centrality in the visual network, which may help us better interpret the mechanisms underlying visual and auditory hallucination in schizophrenia. |
| 1493 | Investigation of Frontal Alpha Asymmetry EEG Neurofeedback in Major Depression Using Simultaneous fMRI | |
| Vadim Zotev1, Aki Tsuchiyagaito1, and Jerzy Bodurka1,2 | ||
1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States |
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We report a controlled study of emotion self-regulation training in patients with major depressive disorder (MDD) using frontal alpha asymmetry (FAA) EEG neurofeedback (EEG-nf) with simultaneous fMRI. MDD patients learned to significantly upregulate the FAA using EEG-nf while inducing happy emotion. Temporal correlations between the FAA and BOLD activity were significantly enhanced during the EEG-nf for many brain regions involved in emotion regulation, including the left DLPFC and the amygdala. Behavioral responses showed stronger approach bias after the training. Our study provides the first independent-modality evidence that the FAA-based EEG-nf can engage and influence the emotional brain circuitry. |
| 1494 | Differential task-induced brain activation and functional connectivity patterns between OCD and GAD: Preliminary study on verbal memory | |
| Shin-Eui Park1, Gwang-Won Kim2, Yun-Hyeon Kim3, and Gwang-Woo Jeong3 | ||
11Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea, Republic of, 2Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Chonnam National University Medical School, Gwangju, Korea, Republic of |
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This current study supports that abnormalities in task-induced functional connectivity and localized brain activation patterns in explicit, verbal short-term memory processing are potentially linked with cognitive and memory impairment. These findings will be helpful for understanding the differential neural mechanisms associated with the severity of clinical symptoms in OCD and GAD. |
| 1495 | Functional and structural brain network features in Borderline Personality Disorder | |
| Giovanni Sighinolfi1, Stefania Evangelisti2, Micaela Mitolo3, Claudio Bianchini2, Laura Ludovica Gramegna2,3, David Neil Manners2, Caterina Tonon2,3, Raffaele Lodi2,3, Francesca D'Adda2, Luca Pellegrini2, Marco Menchetti2, Domenico Berardi2, and Claudia Testa1 | ||
1Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy, 2Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy, 3IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy |
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This study uses a graph-based approach to analyse the brain MRI data of early-stage Borderline Personality Disorder (BPD) patients. The topological properties of their Functional Connectivity and Structural Covariance weighted networks are explored. Compared to healthy controls, BPDs exhibit statistically significant alterations at global level, in terms of efficiency and modularity, and at local level, in centrality and efficiency, especially from the functional perspective. The nodal variations are mostly observed in the limbic system, in particular in those regions associated to emotion regulation. Such results may be anticipating structural alterations emerging in later stages of the disease. |
| 1496 | Static and dynamic functional connectivity in medication-free patients with obsessive compulsive disorder | |
| Jing Liu1, Hailong Li1, Lingxiao Cao1, Xue Li2, Suming Zhang1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Sichuan University, Chengdu, China |
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In current study, we use static and dynamic functional connectivity (sFC/dFC) to examine the connectivity alternation of bed nucleus of the stria terminalis (BNST) in medication-free patients with obsessive-compulsive disorder (OCD) to clarify the neural underpinnings of OCD. We found that BNST demonstrated different connected regions in sFC and dFC, indicating that the combination between sFC and dFC can help to detect BNST network alternations in OCD in a more comprehensive way by considering both the static and time-varying aspects. |
| 1497 | Meta-analytic investigation and funtional decoding on neural correlates of high familial risk for mood disorders | |
| Kun Qin1, Nanfang Pan1, Ziyu Zhu1, Feifei Zhang1, Jing Yang1, Xueling Suo1, and Qiyong Gong1 | ||
1West China Hospital of Sichuan University, Chengdu, China |
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Despite the absence of positive clinical manifestations, there may be neurofunctional signatures of genetic vulnerability in the relatives of patients with mood disorders. We performed a meta-analysis integrating task-based fMRI studies comparing unaffected relatives of patients with mood disorders and healthy controls. Hyper-activation in the insula, as well as hypo-activation in the inferior parietal cortex and precuneus were identified in the high-risk relatives. Functional decoding further suggested emotion-related dysfunction might be primarily associated with abnormal activation pattern among deficits in multiple behavioral domains. These neurofunctional correlates may serve as high-risk biomarkers underlying illness onset and development in mood disorders. |
| 1498 | Aberrant Cerebellar Functional Connectivity and its Association with Motor and Non-motor Functions in de novo Drug Naïve Parkinson’s Disease | |
| Li Jiang1,2, Brenda Hanna-Pladdy1,2, Jiachen Zhuo1,2, Paul Fishman3, and Rao Gullapalli1,2 | ||
1Center for Advanced Imaging Research, University of Maryland Baltimore, Baltimore, MD, United States, 2Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD, United States, 3Department of Neurology, University of Maryland Baltimore, Baltimore, MD, United States |
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Parkinson’s disease (PD) is one of the most common neurodegenerative disorders characterized by progressive deterioration of motor function as well as a non-motor symptom complex. Resting-state fMRI (rs-fMRI) provides important insights on the pathophysiological mechanisms of PD. Here we used rs-fMRI to systematically investigate the cerebellar functional connectivity changes in de novo drug naïve PD patients compared with healthy controls, and the association between altered cerebellar connectivity and neuropsychological assessments. Our findings support that cerebellar connectivity changes while reflective of early symptoms of PD, also may suggest a possible compensatory mechanism prior to clinical presentation of non-motor features of the disease. |
| 1499 | Locus coeruleus degeneration is associated with disorganized functional topology in Parkinson’s disease | |
| Cheng Zhou1, Tao Guo1, Jingjing Wu1, Xueqin Bai1, Xiaojun Guan1, and Minming Zhang1 | ||
1Zhejiang University, Hangzhou, China |
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A major emphasis has been placed on the symptom related brain alterations caused by dopamine deficiency, the brain organization underlying the norepinephrine deficiency is largely unknown. We used the neuromelanin sensitive-magnetic resonance imaging for evaluating the degeneration of LC, and using graph theory-based network analysis for characterizing the brain functional topology in 94 PD patients and 68 healthy controls.Relationships between LC degeneration, network disruption and cognitive/motor manifestations in PD patients were assessed.An independent PD subgroup with MRI scanning before and after levodopa administration was enrolled to clarify whether LC degeneration related network disruption were independent of dopamine deficiency. |
| 1500 | Reorganization of functional network topology in Parkinson’s disease patients with and without freezing of gait. | |
| Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Dietmar Cordes1, Aaron Ritter1, Jessica Caldwell1, Zoltan Mari1, and Virendra Mishra1 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States |
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Freezing-of-gait (FOG) can be attributed to overloading across neural networks in an attempt to compensate for reduced motor functions. Resting-state fMRI studies in Parkinson’s disease (PD) patients with FOG have implicated dysfunctional connectivity between cortical and subcortical regions over mainly the frontoparietal network, default mode, and visual networks. Our results suggest that despite not observing many global or local network differences there was a clear shift in the topological organization from occipital to frontal regions in both the PD-FOG patients and PD patients without FOG. Specifically, the PD-FOG groups showing significantly reduced rich-club connectivity when compared to the other groups. |
| 1501 | Altered Amplitude of Low Frequency Fluctuation in Language Eloquent Areas in Patients with Medically-refractory Temporal Lobe Epilepsy | |
| Li Jiang1,2, Stephanie Chen3, Lorenna Vidal4, Jiachen Zhuo1,2, Rao Gullapalli1,2, and Prashant Raghavan2 | ||
1Center for Advanced Imaging Research, University of Maryland Baltimore, Baltimore, MD, United States, 2Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD, United States, 3Department of Neurology, University of Maryland Baltimore, Baltimore, MD, United States, 4Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States |
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Temporal lobe epilepsy (TLE) is the most common type of epilepsy in adults. Language impairment can result from both continued seizures and surgical attempts to treat it. Thus, accurate preoperative assessment of language function is essential. Here we used resting-state fMRI to investigate the altered amplitude of low frequency fluctuation (ALFF) in language eloquent areas in medically-refractory TLE patients and its relationship with clinical language test measures. Our findings suggest that left TLE disrupts language function more than right TLE and that intrinsic spontaneous brain activity is altered even in the absence of detectable clinical language impairment.
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| 1502 | Volumetric and connectivity profile of regional thalamic abnormality in amyotrophic lateral sclerosis | |
| Sicong Tu1, Marion Sourty2, Fernando Calamante1, Manojkumar Saranathan3, Ricarda Menke4, Kevin Talbot4, Matthew Kiernan1, and Martin Turner4 | ||
1The University of Sydney, Sydney, Australia, 2Université de Strasbourg, Strasbourg, France, 3University of Arizona, Tucson, AZ, United States, 4University of Oxford, Oxford, United Kingdom |
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Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease with widespread extra-motor cortical and subcortical abnormality. The current findings highlight significant regional volumetric and connectivity abnormality in the thalamus associated with clinical features and may be a promising marker of disease burden. |
| 1503 | Brain amplitude of low frequency fluctuation alterations in optic neuritis patients: a 3-year follow-up study | |
| Jing Huang1, Juan Wei2, and Jie Lu1 | ||
1Xuanwu Hospital, Capital Medical University, Beijng, China, 2GE Healthcare, MR Research, Beijng, China |
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The amplitude of low frequency fluctuation (ALFF) in middle temporal gyrus and middle frontal gyrus might play important role in the prognosis of visual acuity in optic neuritis, which might be used as a potential imaging marker to predict the outcome of visual acuity. |
| 1504 | Altered Resting State Dynamic Functional Connectivity of the Precuneus Contributes to Cognition and Depression in Neuromyelitis Optica | |
| Paola Valsasina1, Laura Cacciaguerra1,2,3, Damiano Mistri1, Vittorio Martinelli2, Massimo Filippi1,2,3,4,5, and Maria A. Rocca1,2,3 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Vita-Salute San Raffaele University, Milan, Italy, 4Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 5Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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In this study, we used dynamic functional connectivity (dFC) to characterize time-varying connectivity abnormalities of the precuneus in 27 patients with neuromyelitis optica spectrum disorders (NMOSD) and test their correlation with cognitive impairment. Compared to controls, NMOSD patients showed reduced precuneus dFC with deep grey matter, temporal, occipital, frontal and cerebellar regions. Increased dFC within the precuneus, and between precuneus and thalamic, insular and temporal regions was also detected. In NMOSD, abnormally high dFC correlated with depression and cognitive deficits. |
| 1505 | Pathological changes in subcortex disrupt cortical synchronization and metastability affecting cognitive function in Parkinson’s disease | |
| Cheng Zhou1 and Minming Zhang1 | ||
1Zhejiang University, Hangzhou, China |
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In this paper, we investigated spatiotemporal dynamics of the phase interactions among resting-state blood oxygen level-dependent signals of Parkinson’s disease patients (n = 159) and normal controls (n = 152). We demonstrated that diminished dopaminergic function and the pathological changes in thalamus related structures responsible for decreased cortical synchronization and metastability, further affect cognitive function in Parkinson’s disease. |
| 1506 | Aberrant spontaneous low-frequency brain activity in patients with subjective cognitive decline: A resting-state fMRI study | |
| Yin Tang1, Ling Zhang1, Yi Zhu2, Hongyuan Ding1, Yaxin Gao2, Long Qian3, Weiqiang Dou3, and Ming Qi1 | ||
1Radiology department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Rehabilitation Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3MR Research China, GE Healthcare, Beijing, China |
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In this study, whole brain amplitude of low-frequency fluctuation (ALFF) changes have been respectively investigated for patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI) and healthy controls (HCs). Relative to HCs, significantly lower ALFF values have been separately found in the regions of right supramarginal gyrus, left precuneus and right supplementary motor area for SCD and MCI patients. Additionally, the ALFFs at these regions also showed strong correlations with multiple clinical scales. Therefore, ALFF might be considered an effective index in the early detection of SCD patients. |
| 1507 | The changes of regional homogeneity and voxel-mirrored homotopic connectivity in Preschool Children with sensorineural hearing loss: a resting-state fMRI | |
| Yi Yin1, Houyu Zhao2, Guiquan Shen1, Mingming Huang1, Xiaoxu Zhang1, Yawen Liu1, Lisha Nie3, and Hui Yu1 | ||
1Department of Imaging, Affiliated Hospital of Guizhou Medical University, Gui yang, China, 2Department of Otorhinolaryngology, Affiliated Hospital of Guizhou Medical University, Gui yang, China, 3GE Healthcare, MR Research, Beijing, China |
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Long-term hearing loss can lead to changes in brain structure and function in preschool children with sensorineural hearing loss(SNHL). we uses regional homogeneity(ReHo) and voxel mirror homology connectivity(VMHC) methods to evaluate the abnormal changes of functional activities in regional brain and interhemispheric functional connections in children after hearing deprivation during resting-state. The results of this study showed that the structure and function of auditory related brain regions were reorganized, and the interhemispheric information transfer was also changed, which would contribute to a better understanding the neuropathological mechanism of preschool deafness. |
| 1508 | Alterations of the sleep-regulating systems in glaucoma | |
| Ji Won Bang1, Carlos Parra1, Gadi Wollstein1, Joel S Schuman1, and Kevin C Chan1,2 | ||
1Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Glaucoma patients have a high incidence of sleep disorders. This relationship implies that glaucoma may involve alterations in sleep-regulating systems. Here, we examined how glaucoma affects sleep-regulating subcortical systems. In particular, we focused on the ventrolateral preoptic nucleus (VLPO), a central sleep-inducing hub. We demonstrated that glaucoma patients had altered functional connectivity of VLPO with the subcortical arousal system and the occipital cortex. We also showed that glaucoma patients had reduced GABA levels in the occipital cortex. Overall, our study suggests that sleep-regulating subcortical structures involving VLPO and their inhibitory projections to the cortex are impaired in glaucoma. |
| 1509 | Multi-scale sex difference of brain function in Alzheimer’s disease | |
| Zhengshi Yang1,2, Cieri Filippo1, Xiaowei Zhuang1,2, Marwan Sabbagh1, Jefferson W. Kinney2, Jeffrey L. Cummings2, Dietmar Cordes1,2,3, and Jessica Z.K. Caldwell1 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Nevada Las Vegas, Las Vegas, NV, United States, 3University of Colorado Boulder, Boulder, CO, United States |
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Despite the prevalence of AD in women and the recognized sex-dependent genetic factors and male/female differences in cognitive measures in AD, how sex is related to AD phenotypic variability remains unclear. We demonstrated a varying spatial extent and magnitude of sex differences in brain function in an AD cohort, suggesting the dynamic contribution of sex in disease progression. Opposite network topological changes were observed from cognitively normal to MCI, and more rapid progression occurred in women than men from MCI to AD. The occipital lobe contributed more in men but frontal lobe contributed more in women in disease progression. |
| 1510 | Resting-State Functional Connectivity Predicts Cognitive Impairment Related to Type 2 Diabetes Mellitus | |
| An ping Shi1 and Xi yang Tang2 | ||
1Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, Shaanxi, China, 2Department of thoracic surgery, Tangdu Hospital, Air Force Medical University., Xi'an, China |
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Resting-state functional connectivity (RSFC) patterns of the human brain show unique inherent or intrinsic characteristics, similar to a fingerprint. There is significant interest in using RSFC to predict human behavior. Inspired by previous RSFC fingerprinting studies, we adopted whole-brain RSFC as discriminative features to predicted the MoCA scores in 102 individuals with T2DM, using a connectome-based predictive modeling (CPM). We find that, the identified CPM, based on whole-brain RSFC patterns, are strong for predicting the MoCA scores in T2DM. The application of CPM to predict neurocognitive abilities can complement conventional neurocognitive assessments and aid the management of people with T2DM. |
| 1511 | A survey of brainstem reticular activation system connectivity in myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) | |
| Leighton Barnden1, Sonya Marshall-Gradisnik1, Donald Staines1, and Zack Shan2 | ||
1Griffith University, Southport, QLD, Australia, 2University of Sunshine Coast, Sunshine Coast, QLD, Australia |
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For 44 ME/CFS and 26 HC, resting state and Stroop task fMRI were spatially normalized with a method optimized for the brainstem. After physiological signal (RETROICOR) denoising in CONN, BOLD correlations were computed between 12 brainstem reticular activation system (RAS) ROI seeds. A survey of connections showed fewer were significant in ME/CFS than HC at Rest, indicating impaired RAS function. During Task, although the same number of connections were active for the two groups, many were between different ROIs, suggesting compensatory mechanisms may be involved. Nerve signal conduction in the brainstem RAS was shown to be impaired in ME/CFS. |
| 1512 | Evaluation of brain structure and function changed in vestibular migraine patients: a MRI MP2RAGE and SMS-Rs-fMRI study | |
| Ya Guo1, Haihua Bao1, and Shaoyu Wang2 | ||
1Affiliated Hospital of Qinghai University, Xining, China, 2Siemens Healthineers, Shanghai, China |
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Headache caused by paroxysmal vestibular symptoms Known as vestibular migraine (VM), its pathophysiology and related mechanisms are less understood at this stage. The purpose of this study was to apply Simultaneous Multi-Slice Resting State functional Magnetic Resonance Imaging (SMS-Rs-fMRI) to explore the gray matter volume (GMV), brain function, and brain default in patients with VM..Compared with the control group, patients with VM had lower GMV in multiple brain areas, higher ALFF values in multiple brain areas, and changes in the brain default network function connection in the resting state. |
| 1513 | Altered voxel-level whole-brain functional connectivity in multiple system atrophy patients with depression symptoms | |
| huaguang yang1, zhi Wen1, Lanhua Hu1, Weiyin Vivian Liu2, Guoguang Fan3, and Yunfei Zha1 | ||
1Radiology, Renmin Hospital of Wuhan University, Wuhan, China, 2MR Research, GE Healthcare, Wuhan, China, 3The First Affiliated Hospital of China Medical University, Shenyang, China |
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Depression is a common non-motor system symptom in patients with multiple system atrophy (MSA). Its pathogenesis is unknown. Multimodal functional magnetic resonance imaging (fMRI) is the main tool to explore the mechanism of pure depression and other diseases with depressive symptoms. Applications of fMRI on patients with MSA in accompanied with depressive symptoms is expected to reveal the difference to the MSA-involved depression mechanism different to the pure depression-involved brain network. Our results found altered secondary network in MSA patients with depression and provided a new idea for determination on treatments to MSA with depression. This study provided neuroimaging evidence for a clinical understanding of non-pure depression and possible reference for treatment measures. |
| 1514 | Potential Benefit of Multiband Multiecho EPI for Resting-state Functional MRI in Alzheimer's disease on a compact 3T system: A Preliminary study | |
| Daehun Kang1, Myung-Ho In1, Erin Gray1, Thomas K Foo2, Radhika Madhavan2, Nolan K Meyer1, Lydia J Bardwell Speltz1, Zaki Ahmed1, Jeffrey Gunter1, Brice Fernandez3, Joshua D Trzasko1, John Huston1, Matt A Bernstein1, and Yunhong Shu1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Global Research, Niskayuna, NY, United States, 3GE Healthcare, Buc, France |
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Using a high-performance gradient system, multi-band multi-echo fMRI with high temporal and spatial resolutions was acquired. The multi-echo images can be combined based on the weighting of local T2*. The echo-combination improves both the signal intensity and temporal SNR, particularly in regions suffering from signal dropout due to iron deposition like the basal ganglia. Also, the echo-combined images were demonstrated to be superior to the single-echo images for studying functional connectivity due to increased BOLD contrast sensitivity. Multi-echo fMRI is particularly promising for studies of aging and dementia as iron deposition and brain atrophy confound analyses. |
| 1515 | Evaluation and interaction of disease dependent head motion, low frequency oscillations, and cerebral blood flow in Alzheimer’s Disease cohort | |
| Mu-Lan Jen1, Laura B. Eisenmenger2, Sterling C. Johnson3,4, Veena A. Nair2, Vivek Prabhakaran2, and Kevin M. Johnson1,2 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, United States, 4Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, 53705, WI, United States |
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Recent studies have suggested reduced altered low-frequency oscillations (LFOs) and cerebral blood flow (CBF) in subjects with Alzheimer’s disease (AD). These measures may reflect reduced neural activity and altered waste clearance but are subject to confounding effects from patient motion. This study of a cohort of AD and controls investigates interaction of patient motion with LFO from BOLD and CBF from multi-delay arterial spin labeling. Results demonstrate significantly increased motion in subjects with AD and a correlation of motion estimates with BOLD LFO but not with CBF. These results suggest motion should be considered for studies in neurodegenerative subjects. |
| 1516 | Implementation of multi-contrast, multi-echo SAGE-fMRI in aging and Alzheimer’s disease | |
| Elizabeth G. Keeling1,2, Maurizio Bergamino1, Lori Steffes1, Anna Burke3, and Ashley M. Stokes1 | ||
1Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 2School of Life Sciences, Arizona State University, Tempe, AZ, United States, 3Division of Neurology, Barrow Neurological Institute, Phoenix, AZ, United States |
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The purpose of this study was to apply a previously developed multi-contrast, multi-echo sequence using spin- and gradient-echo (SAGE) for fMRI in the context of Alzheimer’s disease (AD). We acquired pilot SAGE-fMRI data with five echoes (2 gradient-echoes, 2 asymmetric spin-echoes, 1 spin-echo) using episodic memory encoding and retrieval tasks in healthy aging and cognitively impaired (mild cognitive impairment (MCI) or mild AD) cohorts. Group differences in task-related activation were evaluated across single echo and multi-echo combined dynamic SAGE signals. SAGE-fMRI contrasts showed promise for more robust distinction between HC and CI groups than single-echo fMRI in AD-relevant brain regions. |
| 1517 | Machine learning classifiers on resting-state cerebrovascular reactivity in preclinical Alzheimer's disease | |
| Kaio Felippe Secchinato1, Pedro Henrique Rodrigues da Silva1, Júlia Palaretti1, and Renata Ferranti Leoni1 | ||
1Departamento de Física, University of São Paulo, Ribeirão Preto, Brazil |
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Early detection of Alzheimer's disease (AD) increases the treatment benefits. However, it is still a challenging question which biomarkers are useful for early diagnosis. Then, we aimed to classify cognitively normal elderly regarding the possibility to develop AD based on resting-state cerebral vasoreactivity (CVR) values and neuropsychological (NP) scores. We used supervised machine learning algorithms. Our results suggest that Random Forest and K-Nearest Neighbors classifiers trained with CVR values of the vermis.7 (part of the cerebellum), and left parahippocampal gyrus, and Mini-Mental State Examination (MMSE), and Trail Making Test A scores can be useful on the early detection of AD. |
| 1518 | Community-informed connectomics of cortical intrinsic organization in participants with subjective cognitive decline | |
| Qian Chen1, Jilei Zhang2, and Bing Zhang1 | ||
1Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China, 2Philips Healthcare, Shanghai, China |
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Individuals with subjective cognitive decline (SCD) were at higher risk of Alzheimer’s disease. Based on community-informed connectome analysis, we observed decreased intra-module connectivity in superior occipital gyrus of the visual network and decreased inter-module connectivity in supramarginal gyrus of the dorsal attention network in SCD subjects. The SCD group also showed increased intra-module connectivity in the dorsolateral prefrontal cortex and middle frontal gyrus of the frontoparietal network. The altered network measures showed significant correlations with cognitive performance on memory and language. Our findings may benefit a better understanding of the neural basis underlying early cognitive decline in the SCD stage. |
| 1519 | Network evolution of patients with Alzheimer via graph theory | |
| Mohsen Mazrooyisebdani1,2, BARBARA B BENDLIN3, Shi-Jiang Li4, and Vivek Prabhakaran1,5,6 | ||
1Radiology Department, University of Wisconsin Madison, Madison, WI, United States, 2Electrical and computer Engineering, University of Wisconsin Madison, Madison, WI, United States, 3Department of Medicine, University of Wisconsin Madison, Madison, WI, United States, 4Department of Biophysics, University of Wisconsin Madison, Madison, WI, United States, 5Neuroscience Training program, University of Wisconsin Madison, Madison, WI, United States, 6Medical Scientist Training Program, University of Wisconsin Madison, Madison, WI, United States |
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This abstract presents an evaluation of alteration in the functional brain network of patients with Alzheimer’s disease (AD) with a focus on the application of graph theory as a pure data-driven analysis approach. The main goal in this work is to diagnose any potential biomarker of Alzheimer’s disease in the brain connectivity network of patients. |
| 1520 | Rich-club connectivity of the structural covariance network is reduced in mild cognitive impairment and Alzheimer’s disease | |
| Gerhard Drenthen1, Walter Backes1, Whitney Freeze1, and Jacobus Jansen1 | ||
1Maastricht University Medical Center, Maastricht, Netherlands |
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A reduced rich-club connectivity of the structural covariance network was found in individuals with MCI and AD compared to controls. Moreover, we show that a loss of connections in the rich-club subnetwork may form a mechanism underlying memory loss in the context of MCI and dementia. |
| 1521 | BOLD-fMRI repetition suppression versus enhancement: assessing habituation to emotional faces through the migraine cycle | |
| Catarina Domingos1, Amparo Ruiz-Tagle1, Ana Fouto1, Inês Esteves1, Raquel Gil-Gouveia2, and Patrícia Figueiredo1 | ||
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2Neurology Department, Hospital da Luz, Lisbon, Portugal |
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We investigated habituation in migraine, by measuring repetition effects to emotional faces using BOLD-fMRI, during all phases of the migraine cycle. We first performed simulations to determine the sensitivity of the proposed fMRI paradigm and respective BOLD deconvolution approach to detect repetition effects, and then applied this to real data. Simulations showed that a commonly used deconvolution approach was able to correctly estimate repetition effects provided that response delays did not significantly deviate from default. When applied to real data, we found that controls exhibited the normal repetition suppression, but patients exhibited response maintenance or even potentiation. |
| 1522 | Adaptive space-filling curve for improved feature selection from fMRI brain activation maps: application to schizophrenia classification | |
| Unal Sakoglu1, Lohit Ravi Teja Bhupati2, Olexandra Petrenko1, and Vince D Calhoun3 | ||
1Computer Engineering, University of Houston - Clear Lake, Houston, TX, United States, 2Computer Science, University of Houston - Clear Lake, Houston, TX, United States, 3Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, United States |
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In this work, we develop a 3D to 1D ordering methodology for fMRI data, using a new space filling curve (SFC), which is adaptive to brain's shape based on T1 MRI. We apply this SFC ordering to fMRI activation maps from a schizophrenia study, compress/bin the data, obtain features, and perform classification of schizophrenia vs normal controls. The classification results using SFC ordering are superior to those using linear ordering, the traditional method. |
| 1523 | Data-driven analysis of Cerebrovascular Reactivity Mapping with Breath-Hold BOLDMRI in Patients with gliomas | |
| Mei-Yu Yeh1,2, Ping Hou2, and Ho-Ling Liu 2 | ||
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Houston, TX, United States |
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Cerebrovascular reactivity (CVR) mapping can be achieved by BOLD MRI during hypercapnia challenges, such as a breath-hold (BH) task. It has wide applications for the assessment of various neurological deficits and neurovascular uncoupling. The BH MRI is typically analyzed by modeling with a hemodynamic or respiratory response function and account for latencies in signal time courses. Accurate modeling requires physiological monitoring and/or consistent patient performance during the scan. Because the BOLD signal response to the BH is a global effect, this study proposes to utilize the individual’s whole-brain signal average as a regressor for the analysis of BH MRI. |
| 1524 | Correlations analysis between changes in longitudinal ALFF and ReHo values of methamphetamine abstinence subjects and behavioral tests BIS-11 | |
| Yanyao Du1, Ru Yang1, Wenhan Yang1, Huiting Zhang2, and Jun Liu1 | ||
1Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China, 2MR Scientific Marking, Siemens Healthcare Ltd., Wuhan, China |
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This study aimed to evaluate the correlation of longitudinal changes of amplitude low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) values based on Harvard-Oxford atlas (HOA) and Barratt Impulsivity Scale 11 (BIS-11) in subjects with methamphetamine abstinence. The results suggested that there were significant positively correlations between right middle frontal gyrus (8) and BIS total scores, BIS attention scores as well as BIS non-planning score. |
| 1525 | Oxytocin function regulation in autism spectrum disorders probed with rsfMRI complexity analysis | |
| Kaundinya Gopinath1, Elissar Andari1, and Larry Young1 | ||
1Emory University, Atlanta, GA, United States |
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Autism spectrum disorders (ASD) are characterized by dysregulation of endogenous oxytocin (OXT) function. In this study, we employed complexity of resting state fMRI signal as a tool to examine: 1) brain function impairments in adult ASD, 2) the relationship between DNA methylation of OXT receptor gene and severity of cognitive impairment, and 3) the effects of intranasal OXT treatment (IN-OXT). ASD patients exhibited abnormally increased fMRI signal complexity in a number of brain function networks. The severity of these impairments were inversely related to DNA methylation levels. IN-OXT attenuated impairments in these networks. Thus, OXT has neuroprotective effects in ASD. |
| 1526 | Altered Large-Scale Brain Networks in Mesial Temporal Lobe Epilepsy Based on Dynamic Causal Modeling | |
| Alireza Fallahi1, Fatemeh Salimi2, Fatemeh Eyvazi3, Narges Hosseini Tabatabaei4, Mohammad-Reza Ay2, and Mohammad-Reza Nazem-Zadeh2 | ||
1Shahed University, Tehran, Iran (Islamic Republic of), 2Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Institute for cognitive science studies, Shahid Beheshti University, Tehran, Iran (Islamic Republic of), 4Brain and Spinal Cord Injury Research Centre, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of) |
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In this study, dynamic causal modeling (DCM) was applied to resting state fMRI data of mesial temporal lobe epilepsy (mTLE) patients to determine the directional alternations in effective connectivity in large scale brain networks. We hypothesized that mTLE alters the functional connectivity in both temporal and extra-temporal functional brain networks. We further hypothesized that the altered connectivity is directional (The direction between two network nodes matters). The results showed significantly different effective connectivity in default mode, limbic and salience networks. |
| 1527 | Task-phase fMRI evidencing cognitive improvement post carotid angioplasty and stenting (CAS) – initial findings of a follow-up study | |
| Betty Chinda1,2, Simon Liang3, William Siu4, George Medvedev5, and Xiaowei Song1,2 | ||
1Department of Biomedical Physiology & Kinesiology, Simon Fraser University, Burnaby, BC, Canada, 2Health Research and Innovation, Fraser Health Authority, Surrey, BC, Canada, 3Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 4Department of Radiology, Royal Columbian Hospital, New Westminster, BC, Canada, 5Department of Neurology, Royal Columbian Hospital, New Westminster, BC, Canada |
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This longitudinal task-phase fMRI study aims to provide direct evidence of possible effects of Carotid angioplasty and stenting (CAS) on cognition. The initial phase enrolled patients with severe carotid stenosis (≥70% stenosis) who had MRI scans pre-CAS and two-month post-CAS. At each scan, patients completed two fMRI sessions while performing a working memory task. Improved cerebral perfusion to areas supplied by carotid arteries following CAS was correlated with improved cognitive function in working memory performance along with increased fMRI activations in the re-perfused vascular territory especially in frontal and temporal lobes and reduced in the contralateral hemisphere. |
| 1528 | A Generalized Tool for Deriving Connectomes in Support of Computational Neuroscience | |
| David Mattie1, Zihang Fang2, Emi Takahashi2,3, and Jacob Levman1 | ||
1Bioinformatics Group, St. Francis Xavier Unversity, Antigonish, NS, Canada, 2Department of Medicine, Boston Children’s Hospital, Boston, MA, United States, 3Department of Pediatrics, Harvard Medical School, Boston, MA, United States |
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Identifying regional neural pathways with magnetic resonance imaging (MRI) based diffusion characteristics across all possible regions of interest (ROI) is computationally expensive and demands a concerted effort to ensure reliable extraction of tractography statistics from the diffusion tensor imaging data associated with identifiable fiber tracts from a patient’s brain MRI examination. Here we present a software tool called Connectome Reporting User Shell (CRUSH) that processes DTI data using pluggable modules that can be tailored to research specific outcomes. We demonstrate the value of such a tool by conducting a whole-brain tractography-based connectomics analysis on a clinically imaged neurologically healthy population. |
| 1529 | The Neural Activation of Positive versus Negative Though-Action Fusion: an fMRI study | |
| Hyunsil Cha1, Sang Won Lee2, Heajeong Choi1, Eunji Kim1, Seungho Kim1, Yunheung Kim1, Seung Jae Lee2, and Yongmin Chang3 | ||
1Medical and Biological Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea, Republic of, 3Radiology and Molecular Medicine, Kyungpook National University, Daegu, Korea, Republic of |
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In this fMRI study, we aimed to investigate the neural circuits related to positive and negative TAF by using a modified TAF task, wherein individuals were asked to read the name of a close person within positive or negative statements. |
| 1530 | Influence of head motion on the output of Independent Component Analysis (ICA)-based denoising of task-related fMRI data at 7T | |
| Thuy Ha Duy Dinh1, Koji Fujimoto1, Thai Akasaka1, Tadashi Isa1, and Tomohisa Okada1 | ||
1Human Brain Research Center, Kyoto University, Kyoto, Japan |
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Head motion during the acquisition of fMRI data can significantly contaminate the neural signal and induce spurious, distance-dependent changes in signal correlations. Framewise displacement (FD) has often been used as a cut-off threshold for removing bad fMRI datasets related with high motion. Here we investigated the influence of head motion on the output of ICA-based denoising analysis. The results showed a strong correlation between the number of total ICA components with head mean motion and FD, which indicated that the number of ICA components can be an index for detecting high motion-related fMRI datasets. |
| 1651 | White matter connectome alterations in tuberous sclerosis complex patients with neuropsychiatric disorders revealed by DTI | |
| Jheng-Yan Li1, Jeng-Dau Tsai2,3, Chao-Yu Shen4,5, and Jun-Cheng Weng1,6,7 | ||
1Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2School of Medicine, Chung Shan Medical University, Taichung, Taiwan, 3Department of Pediatrics, Chung Shan Medical University Hospital, Taichung, Taiwan, 4Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, 5Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan, 6Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 7Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan |
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Previous studies indicate that the occurrence of tuberous sclerosis will cause neurotransmission in brain blocked by tumors and produce abnormal discharges. In the study we used diffusion tensor imaging (DTI), graph theoretical analysis (GTA) and network-based statistical (NBS) analysis to explain brain structural network alterations in TSC patients with different intellectual disability, seizure, and Neurological Severity Score. |
| 1652 | In vivo imaging of cerebral glutamate changes using chemical exchange saturation transfer MRI in a rat forced swimming test model of depression | |
| Do-Wan Lee1, Hwon Heo2, Jae-Im Kwon3, Yeon Ji Chae2, Joongkee Min3, Monica Young Choi2, Chul‐Woong Woo3, Dong‐Cheol Woo2,3, Kyung Won Kim1, Jeong Kon Kim1, Hyo Jeong Chin4, and Dong‐Hoon Lee4 | ||
1Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 2Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 4Department of Radiological Science, College of Health Sciences, Yonsei University, Wonju, Korea, Republic of |
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Glutamate-weighted chemical exchange saturation transfer (GluCEST) imaging is a novel enhancement technique for the non-invasive detection and quantification of cerebral glutamate levels in neuro-molecular processes. The present study quantitatively evaluated glutamate signal changes in the hippocampal region of a rat forced swimming test model (FS) of depression. The GluCEST and proton magnetic resonance spectroscopy results showed that GluCEST values and glutamate concentrations were significantly lower in the FS rats than in the controls. These findings might provide a key marker to better understand the cerebral neurochemical responses in depressive disorders. |
| 1653
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Neuromelanin MRI as biomarker for treatment resistance in first episode schizophrenia patients | |
| Marieke Van der Pluijm1, Laura Meershoek1, Lieuwe De Haan2, Jan Booij1, and Elsmarieke Van de Giessen1 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands, 2Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands |
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The current study assessed whether neuromelanin sensitive MRI (NM-MRI) is a potential biomarker for treatment resistance (TR) in first episode schizophrenia patients. NM-MRI is a novel MRI sequence, which indirectly measures dopamine synthesis. Twenty-three first episodes schizophrenia patients underwent a NM-MRI scan, treatment response was determined during follow-up. Standardized and manual segmentation protocols of the NM-MRI data were used and compared. Both segmentation protocols showed significantly lower NM-MRI signal in TR compared to responders. These findings demonstrate the potential of NM-MRI as biomarker. The predictive value of NM-MRI for TR and optimal segmentation method still require further investigation |
| 1654 | Developmental changes of functional network connectivity dynamics in typical development and ADHD youth | |
| Yingxue Gao1, Xuan Bu1, Hailong Li1, Weijie Bao1, Kaili Liang1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China |
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We used dynamic functional network connectivity to explore the neurodevelopmental changes of whole-brain large scale intrinsic network connectivity dynamics from childhood to adolescence in attention deficit/hyperactivity disorder (ADHD) children and typical developing control (TDC) children. We found that the developmental changes of occurrence percentages, duration of stay and functional network connectivity patterns of states of internetwork hyperconnectivity and hypoconnectivity were different between ADHD and TDC children. |
| 1655 | How neurotransmitter concentrations in default-mode network modulate brain functional activities and connectivities in psychosis | |
| Xi Chen1, Dost Ongur1, and Fei Du1 | ||
1McLean Hospital; Harvard Medical School, Belmont, MA, United States |
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Failure to suppress default-mode network (DMN) activity during tasks and reduced anti-correlations between DMN and other brain networks at rest has been observed in various psychiatric disorders. However, the molecular mechanisms underlying this phenomenon are poorly understood. It has been shown that the neurotransmitter concentrations in DMN modulate the brain functional activities and connectivities in the healthy brain. In the current study, it was observed that the relationship between DMN neurotransmitter concentrations and the activities of brain functional network breaks down in first-episode psychosis patients. This finding provides opportunities for developing novel treatment strategies and earlier interventions for psychosis. |
| 1656 | A Multi-Diffusion Model Investigation of White Matter Microstructure in Psychotic Spectrum Disorders | |
| Faye McKenna1, Yu Veronica Sui2, Hillary Bertisch2, Donald Goff2, and Mariana Lazar2 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2New York University School of Medicine, New York, NY, United States |
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We employed the recent Bingham neurite orientation dispersion and density imaging (NODDI-B) and diffusion kurtosis imaging (DKI) techniques, alongside classical diffusion tensor imaging (DTI) and found that psychotic spectrum disorders (PSD) and PSD sub-types had significantly increased mean and radial diffusion and orientation dispersion (MD, RD, ODI, ODIs) and significantly decreased mean and radial kurtosis (MK, RK), fractional anisotropy (FA) and neurite density index (NDI) in sub-cortical WM ROIs compared to healthy controls (HC). We also found significant relationships across PSD and HC groups between WM dMRI metrics and tests of episodic and working memory and several schizotypal traits. |
| 1657 | Investigation of Microstructural Alterations of the Corpus Callosum in Autism Using Multi-Shell Diffusion MRI and Quantitative Relaxometry | |
| Douglas C Dean1,2,3, Nagesh Adluru3, Jace B King4, Molly B Prigge4, Carolyn King4, Erin D Bigler5,6,7,8, June Taylor4, Nick Lange9, Brandon A Zielinski4,5,10, Janet E Lainhart3,11, and Andrew L Alexander2,3,11 | ||
1Pediatrics, University of Wisconsin–Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin–Madison, Madison, WI, United States, 3Waisman Center, University of Wisconsin–Madison, Madison, WI, United States, 4Radiology, University of Utah, Salt Lake City, UT, United States, 5Neurology, University of Utah, Salt Lake City, UT, United States, 6Psychiatry, University of Utah, Salt Lake City, UT, United States, 7Psychology and Neuroscience Center, Brigham Young University, Provo, UT, United States, 8Neurology, University of California–Davis, Davis, CA, United States, 9Psychiatry, Harvard School of Medicine, Boston, MA, United States, 10Pediatrics, University of Utah, Salt Lake City, UT, United States, 11Psychiatry, University of Wisconsin–Madison, Madison, WI, United States |
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White matter microstructural alterations are consistently reported and believed to play a significant role in the defining characteristics of autism spectrum disorder. In this work, we utilized advanced diffusion imaging and quantitative relaxometry to examine microstructural differences in autism. We observe significant group and age-related deviations of the corpus callosum, as well as more widespread alterations of the neurite microstructure. These results are consistent with previous findings of the corpus callosum in ASD and suggest that while sensitive to underlying microstructural deviations, advanced diffusion imaging and relaxometry provide complementary information. |
| 1658 | Association of anterior cingulate glutathione and degree of depression in unmedicated bipolar disorder – a 7T study | |
| Pallab K Bhattacharyya1, Mark J Lowe1, and Amit Anand1 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States |
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Oxidative stress is a contributing factor in bipolar disorder (BD). Glutathione (GSH) acts as an antioxidant and reduces oxidative stress. GSH level at anterior cingulate cortex was measured in unmedicated patients with BD in depressed state and healthy controls at 7T using semi-LASER sequence. No significant difference in GSH level was observed; however, degree of depression was inversely correlated with GSH level. |
| 1659 | Morphological changes of the corpus callosum in antipsychotic-naive first-episode schizophrenia before and 1-year after treatment | |
| Bo tao1, Yuan Xiao1, Wenjing Zhang1, Na Hu1, John A Sweeney1,2, and Su Lui1 | ||
1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States |
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The present study demonstrates deficits of the callosal morphology in schizophrenia, which may reflect an neurodevelopment aberration. And short-term antipsychotics may not have a significant impact on the CC morphology in the early stage of illness. |
| 1660 | Functional and structural brain alterations in anorexia nervosa: a multimodal meta-analysis of neuroimaging studies | |
| Ting Su1, Jia ying Gong2, Shao juan Qiu1, Pan Chen1, Guan mao Chen1, Jun jing Wang3, Li Huang1, and Ying Wang1 | ||
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, 2Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 3Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China |
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Anorexia nervosa (AN) is a complex psychiatric disorder with poorly understood etiology. A whole-brain meta-analysis on resting-state functional imaging and VBM studies that measured differences in the intrinsic functional activity and gray matter volume (GMV) between AN patients and healthy controls. Overall, patients with AN displayed decreased resting-state functional activity in the bilateral ACC and MCC and increased in the right parahippocampal gyrus. In VBM studies, with AN patients displayed decreased GMV in the bilateral MCC , and left inferior parietal lobe. This multimodal meta-analysis identified functional activity and GMV reductions in the anterior and median cingulate in patients with AN. |
| 1661 | Changes in total choline level in left anterior cingulate during 26 weeks of Li treatment in patients with bipolar disorder | |
| Pallab K Bhattacharyya1, Mark J Lowe1, and Amit Anand1 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States |
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Changes in total choline level in left anterior cingulate cortex (ACC) following lithium monotherapy of bipolar disorder in depressed state were studied at 7T. Patients were scanned with a semi LASER sequence at baseline and 2, 8 and 26 weeks from start of therapy. Healthy controls were also scanned at those 4 time points. A decrease in choline level at left dorsal/rostral ACC was observed in patients, and the reduction took place between 8 and 26 weeks after onset of therapy. |
| 1662 | Disrupted Small-World Networks in Major Depressed Patients with Suicidality | |
| Huiru Li1, Huawei Zhang1, Li Yin2, Zhiyun Jia3, and Qiyong Gong1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China, 3Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China |
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In this study, we investigated depressed suicidal brain from the level of network connection. We constructed brain structural networks using diffusion tensor imaging. Then all graph theoretical network parameters including small-world parameters (Cp, Lp, γ, λ and σ), network efficiency parameters (Eloc and Eglob) and nodal efficiency were analyzed. We found decreased Eloc/Eglob/Cp, increased Lp/λ and decreased nodal efficiency in fronto-striatal-limbic-thalamic circuit in depressed suicidal patients. In summary, suicidality involves complex neocortical network organization, which showed a weaker integration and disrupted fronto-striatal-limbic-thalamic circuit. |
| 1663 | Circadian rhythm functional network in the central nervous system and its disruptions in chronic insomnia disorder | |
| Ran Pang1,2, Jianli Wang3, Karunanayaka Prasanna3, Kuncheng Li4, and Qingxian Yang2 | ||
1Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China, 2Department of Neurosurgery, Pennsylvania State University College of Medicine, Hershey, PA, United States, 3Department of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, United States, 4Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China |
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The etiology of chronic insomnia disease (CID) ultimately relates to the asynchrony of circadian rhythms. Using the anterior hypothalamus as a seed, functional connectivity (FC) of the circadian rhythm functional network (CRFN) during resting state was demonstrated in healthy subjects, consisting of both positive and negative FCs in the cerebrum and cerebellum. The CID patients exhibited an extensive weakening of FCs and abnormal local hyperactivities, reflecting underlying asynchrony in the CRFN. |
| 1664 | 7T Mental health: Functional alterations in resting-state within the executive control network and its association with BDI-II and TMT-B in MDD | |
| Ravichandran Rajkumar1,2,3, Gereon Johannes Schnellbächer2, Hasan Sbaihat1,2, N. Jon Shah1,4,5,6, Tanja Veselinović2, and Irene Neuner1,2,4 | ||
1Institute of Neuroscience and Medicine - 4 (Medical Imaging Physics), Forschungszentrum Juelich GmbH, Jülich, Germany, 2Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany, 34JARA – BRAIN – Translational Medicine, Aachen, Germany, 4JARA – BRAIN – Translational Medicine, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany, 6Institute of Neuroscience and Medicine, INM-11, Forschungszentrum Jülich GmbH, Jülich, Germany |
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Executive functioning is reported to be deficient in depression. In this pilot study, functional alterations in MDD patients and their association with mental flexibility and depression severity, particularly within the executive control network, are investigated. Our data contribute to a better understanding of the neurobiological signatures of depression. Further investigation in this area may lead to an improvement in the diagnosis and treatment of MDD patients. |
| 1665 | Different patterns of temporal variability of functional connectivity to predict response to electroconvulsive therapy in schizophrenia | |
| Yunyun Jiao1, Jie Gong1, Hui Deng1, Dongchen Sun1, and Wei Qin1 | ||
1Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China |
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We aimed to explore the relationship between the pre-treatment temporal variability of resting state functional connectivity and response to electroconvulsive therapy (ECT) in schizophrenia (SZ). Statistical analysis included grouping comparison and Pearson correlation analysis. The grouping comparison of temporal variability between responders to ECT with SZ, non-responders to ECT with SZ and healthy controls were conducted and Pearson correlation analysis was used to reveal the relationship between temporal variability and the response to ECT. The result showed that the temporal variability may serve as a promising indicator to predict the response to ECT in patients with SZ. |
| 1666 | MRI measurements demonstrate gray matter increases induced by transcranial direct current stimulation treatment in depression | |
| Mayank Jog1, Cole Anderson1, Elizabeth Kim1, Antoni Kubicki1, Michael Boucher1, Gerhard Hellemann2, Roger Woods1, and Katherine Narr1 | ||
1UCLA, Los Angeles, CA, United States, 2University of Alabama, Birmingham, Birmingham, AL, United States |
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Transcranial direct current stimulation (tDCS) is a low-cost and non-invasive neuromodulation technique. Although tDCS has been shown to improve symptoms in psychiatric disorders, the neurobiological effects of tDCS are not well-understood. In this study, we used MRI to investigate structural changes in the brain resulting from tDCS. T1-weighted MRI data from n=59 depressed participants was acquired pre/post tDCS treatment, and analysis revealed gray-matter increases near the stimulation-target and in a distant but functionally-connected region. These results indicate that tDCS treatments can elicit structural changes in the brain; both near the stimulation-target and in additional regions part of the same brain-network. |
| 1667 | Alternations of functional networks in adult PTSD: a systematic review and meta-analysis of resting-state functional connectivity studies | |
| WeiJie Bao1, YingXue Gao1, Hailong Li1, jing Liu1, Lingxiao Cao1, Xuan Bu1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China |
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We performed a systematic review of studies which explored network alterations by comparing PTSD and trauma-exposed controls (TEC) or nonexposed controls (NEC) using seed-based functional connectivity (SBFC) techniques. And quantitative meta-analysis was conducted when the number of studies reached an appropriate number. Our results supported that trauma may have long-lasting effects on the function of the default mode network (DMN) and limbic network (LN) regardless of whether it caused symptoms of PTSD. Moreover, the altered connectivity between the DMN and the somatomotor network (SMN) and between the LN and SMN may be underline neural mechanism specify to PTSD. |
| 1668 | Effect of the outbreak of COVID-19 on college students with subthreshold depression:a resting-state functional MRI study | |
| zhang zhang qi1, pan chen2, ZHEN YE LUO3, Long QIAN4, and YING WANG2 | ||
1JINAN UNIVERCITY, guang zhou, China, 2Jinan Univercity, guang zhou, China, 3lzy1735411016@163.com, guang zhou, China, 4MR Research, GE Healthcare, Beijing, China., BEI JING, China |
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Background: The current outbreak of the novel coronavirus disease 2019 (COVID-19), has rapidly spread across China and many other countries.Subthreshold depression (SD) is generally considered to present when individuals show depressive symptoms but diagnostic criteria for a major depressive disorder are not met. Methods: In total,49 SD individuals and 56 health controls(HC) were recruited from Jinan University. All subjects underwent MRI and MATRICS Consensus Cognitive Battery (MCCB) before COVID-19 outbreak. Conclusion: After the COVID-19 epidemic situation, changes of brain area and cognitive function of college students with significant stress symptoms were more obvious. |
| 1669
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Brain volumetric measurements in children with ADHD:a comparative study between synthetic and conventional MRI | |
| Yingqian Chen1, Shu Su1, Yan Dai1, Long Qian2, and Zhiyun Yang1 | ||
1First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 2GE Healthcare, Beijing, China |
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The developmental mechanism underlying the brain development abnormalities in attention deficit hyperactivity disorder (ADHD) is still unclear. The currently developed synthetic MRI (SyMRI) offers a novel approach for brain segmentation and myelin volume estimation. Our study investigated the profiles of brain volumetric measurements in children with ADHD with both SyMRI and conventional T1 weighted(cT1w) MRI. And the results proved the global brain development retardation but normal whole brain myelination of children with ADHD. Besides, the high consistency of brain segmentation with cT1w image and SyMRI has also been proved, which indicate the clinical feasibility of SyMRI in children. |
| 1670 | Gray Matter Based Spatial Statistics Shows Cortical Alterations in Individuals With Autism Spectrum Disorder | |
| Marissa DiPiero1,2, Janet Lainhart2,3, Brittany Travers2,4, Andrew Alexander 2,3,5, and Doug Dean2,6 | ||
1Neuroscience Training Program, University of Wisconsin - Madison, Madison, WI, United States, 2Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, 3Department of Psychiatry, University of Wisconsin - Madison, Madison, WI, United States, 4Department of Kinesiology, University of Wisconsin - Madison, Madison, WI, United States, 5Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 6Department of Pediatrics, University of Wisconsin - Madison, Madison, WI, United States |
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Advanced diffusion MRI techniques, such as Neurite Orientation Dispersion and Density Imaging (NODDI), may be used to investigate cortical gray matter (GM) microstructure. In this work, we used the Gray Matter Based Spatial Statistics approach to investigate cortical GM microstructural differences in young people with autism spectrum disorder (ASD). Group differences and age by group interaction models were assessed. We observe regions of reduced neurite density and significant age-related changes of DTI and NODDI metrics in cortical GM of ASD individuals. Findings provide unique evidence of altered neurodevelopmental processes affecting microstructural development in ASD. |
| 1671 | Power spectral density of salience network alterations in obsessive-compulsive disorder: Impact on thought-action fusion performance | |
| Eunji Kim1, Sang Won Lee2, Hyunsil Cha1, Heajung Choi1, Seungho Kim1, Yunheung Kim3, Seung Jae Lee2, and Yongmin Chang4 | ||
1Medical & Biological Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Psychiatry, Kyungpook National University Hospital, Daegu, Korea, Republic of, 3Kyungpook National University, Daegu, Korea, Republic of, 4Radiology and Molecular Medicine, Kyungpook National University, Daegu, Korea, Republic of |
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Obsessive-compulsive disorder (OCD) showed the functional connectivity alterations in default mode network (DMN), central executive network (CEN) and salience network (SN) 1. We investigated the difference of intrinsic networks between OCD and healthy controls (HC) from thought-action fusion (TAF) task and resting state by using fMRI. During TAF task, Power spectral density (PSD) of SN in OCD showed lower than PSD in HC in low-frequency bins. PSD of SN showed a significant correlation with TAF score and OBQ scale in OCD. Therefore when doing TAF task, OCD symptoms might have relations with alterations of PSD of SN. |
| 1672 | Evaluation of White Matter Integrity via Fixel-Based Analysis in HIV Infection | |
| Alan Finkelstein1, Md Nasir Uddin2, Miriam Weber2, Jianhui Zhong1,3,4, and Giovanni Schifitto2,3 | ||
1Biomedical Engineering, University of Rochester, Rochester, NY, United States, 2Neurology, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States, 4Physics and Astronomy, University of Rochester, Rochester, NY, United States |
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Individuals with chronic HIV-infection suffer from neurocognitive impairment. These changes are thought to be mediated by atrophy and demyelination in the setting of chronic neuroinflammation. In this abstract, we used fixed-based analysis (FBA) to investigate the relationship between white matter integrity and cognitive function in the presence of HIV infection. Connectivity-based fixel ehancement and region-based statistics were performed to evaluate group differences at the fixel and tract level, respectively. Lower fixel-based metrics were observed in the HIV+ cohort. We also observed significant correlations between fixel-based metrics and cognitive scores derived from neuropsychological testing in the HIV+ cohort. |
| 1673 | Assessment of brain structural connectome alterations in depressive patients with suicidal attempt using GQI | |
| Chun-Ju Kao1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai3,4, and Jun-Cheng Weng1,2,5 | ||
1Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 3School of Medicine, Chang Gung University, Taoyuan, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan, 5Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan |
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Depression is a key factor in committing suicide. Patients with depression often accompany with brain network alterations. Three groups of participants were recruited in the study, including healthy controls (HC), depressed patients with and without suicidal attempt history (SA, D). We analyzed brain network alternations by using their GQI data. SA group showed lower global integration and higher local segregation compared to D and HC groups. Furthermore, SA and D groups had significant subnetwork connections in frontal and parietal lobes than HC group. The alternations were found in the network measurement in depressed patients with and without suicidal attempt history. |
| 1674 | Longitudinal assessment of lesion volume and ADC in patients with Fabry disease: a 5 year follow up study | |
| Koen P.A. Baas1, Simon Körver2, Bram F. Coolen3, Gustav J. Strijkers3, Carla E.M. Hollak2, and Aart J. Nederveen1 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Endocrinology and Metabolism, Amsterdam UMC, Amsterdam, Netherlands, 3Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, Netherlands |
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We investigated whether local ADC changes precede the formation of white matter lesions (WML) in patients with Fabry disease. A dataset was collected, containing five-year follow-up MRI data of 46 patients with Fabry disease. Within WMLs, ADC values were significantly higher compared to healthy WM and kept increasing after first detection. Moreover, ADC values were significantly higher within regions that were detected at later time points as WML on FLAIR images. These findings indicate that diffusion weighted imaging could play an important role in predicting which patients are at risk of lesion formation and require preemptive treatment. |
| 1675 | Free-Water Eliminated DTI Measures of Neuro-inflammation and White Matter Structural Deterioration in HIV-1 Clade C Infection | |
| Teddy Salan1, Deepika Aggrawal2, Gaurav Garg2, Manju Mohanty2, Paramjeet Singh2, Mahendra Kumar1, Sameer Vyas2, and Varan Govind1 | ||
1University of Miami, Miami, FL, United States, 2Post Graduate Institute of Medical Education & Research, Chandigarh, India |
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Few neuroimaging studies have focused on HIV-1 clade C infection (HIV-1C) which comprises approximately half the global HIV population. In this work, we use a free-water eliminated diffusion tensor imaging (FWE-DTI) data processing approach to determine the extent of micro-structural brain damage in drug-naïve HIV-1C subjects. Our results show white matter (WM) structural abnormalities among HIV-1C subjects, manifested by increases in free water volume throughout the brain and reduced FWE fractional anisotropy (FWE-FA) along WM tracts. Our FWE-DTI approach provides an improved method for more accurate measures of brain abnormalities due to neuro-inflammation in HIV and other infections. |
| 1676 | Mapping Increased Cerebral Free Water Volume Fraction in Hepatic Encephalopathy | |
| Teddy Salan1, Varan Govind1, and Sameer Vyas2 | ||
1University of Miami, Miami, FL, United States, 2Post Graduate Institute of Medical Education & Research, Chandigarh, India |
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MRI methods have been used to measure increased brain water content in hepatic encephalopathy (HE) patients. However, these methods lack specificity to measure the increased water content from either the intracellular or extracellular compartment. In this work, we use a free-water eliminated diffusion tensor imaging (FWE-DTI) data processing approach to calculate the free water volume content fraction (fFW) in the brains of HE and healthy control subjects. This water fraction is considered as a measure of water fraction contained in the extra-axonal and sulcal spaces. We found significant fFW increases among HE patients indicating low-grade edema and glial swelling. |
| 1677 | Preliminary results of longitudinal brain volume analyses in adolescents with Duchenne muscular dystrophy | |
| Mariken C.R. Hoegen1,2, Nathalie Doorenweerd1,2,3, Emma M. Broek1, Kieren G. Hollingsworth4, Chiara Marini Bettolo5, Jos G.M. Hendriksen 6,7, Erik H. Niks2,8, Volker Straub3, and Hermien E. Kan1,2 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Duchenne Center Netherlands, Leiden, Netherlands, 3John Walton Muscular Dystrophy Research Centre, Newcastle upon Tyne, United Kingdom, 4Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom, 5Faculty of Medical Sciences, John Walton Muscular Dystrophy Research Centre, Newcastle upon Tyne, United Kingdom, 6Expertise Center Kempenhaeghe, Heeze, Netherlands, 7Duchenne Center Netherlands, Heeze, Netherlands, 8Department of Neurology, Leiden University Medical Center, Leiden, Netherlands |
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Clinical symptoms in Duchenne muscular dystrophy (DMD) not only affect the skeletal muscle but also the brain. We explored brain volume changes over a 2-4 year period in adolescents with DMD versus healthy controls (HC). Our preliminary results show no difference in growth curves between groups. We found a consistently lower total grey matter volume and no differences in white matter volume in DMD. Our data suggest that the differences in brain volume in DMD are non-progressive within the assessed age range of 8-20 years. |
| 1678 | Cerebral iron deposition in gray nucleus in type 2 diabetes mellitus patients and the correlation with metabolic disorders | |
| Yangyingqiu Liu1, Na Liu1, Yanwei Miao1, Ailian Liu1, Jiazheng Wang2, and Yishi Wang2 | ||
1Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Iron deposition of the gray nucleus is quantitatively assessed by magnetic sensitivity value (MSV)using quantitative susceptibility mapping (QSM), and its’ correlation to metabolic disorders index is also analyzed in patients with type 2 diabetes mellitus (T2DM).The results show that increased MSV value of gray nucleus in T2DM patients may be associated with metabolic disorders. |
| 1679 | Examining the association between sluggish cognitive tempo and functional connectivity in children with ADHD: A pilot study | |
| Adebayo B Braimah1, Jonathan A Dudley1, Jeffery Epstein2, Leanne Tamm2, and Stephen P Becker2 | ||
1Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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Sluggish cognitive tempo (SCT) is a behavioral phenotype characterized by excessive daydreaming that is frequently present in children with ADHD. This study examined functional connectivity in children with ADHD and high SCT, children with ADHD and low SCT, and typically developing children. Resting state fMRI data were acquired and analyzed to examine group differences as well as associations with ordinal ADHD and SCT symptom scores. Three a priori seeds were generated from NeuroSynth to investigate connectivity patterns associated with default mode, attention, and orienting domains. SCT scores were negatively associated with connectivity between attentional and medial visual areas. |
| 1680 | Fibre-specific white matter changes in neonates born to women prescribed methadone in pregnancy | |
| Manuel Blesa Cábez1, Thijs Dhollander2, Victoria J Monnelly1, Alan J Quigley3, Scott I Semple4, Mark E Bastin4, and James P Boardman1 | ||
1MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom, 2Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 3Department of Radiology, Royal Hospital for Sick Children, Edinburgh, United Kingdom, 4Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom |
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Methadone is often used for medication-assisted treatment of heroin addiction during pregnancy. Children with prenatal exposure to the drug are at increased risk of neurodevelopmental and behavioural impairment. We did fixel-based analysis with a group of 20 term born infants whose mothers had been prescribed methadone during pregnancy for the treatment of heroin addiction and a control group of 20 control infants. There was significant widespread reduction across the WM in fiber-bundle cross-section and fiber density and cross-section in the exposed group, this suggests that affected fibre bundles are less developed, similar to WM structures in preterm born babies. |
| 1681 | Correlations between microstructural changes of anterior cingulum cortex and cerebral small vascular disease induced depression : A DKI Study | |
| Zhenyu Pan1, Kun li1, Dongtao Liu2, Xiuqin Jia1, Qiao Bu1, Rui Jia1, Tao Jiang1, Yueluan Jiang3, Qinglei Shi3, and Lichun Zhou2 | ||
1Department of Radiology, Beijing Chao-Yang Hospital, Beijing, China, 2Department of Neurology, Beijing Chao-Yang Hospital, Beijing, China, 3MR Scientific Marketing, Diagnosis Imaging, Siemens Healthineers China, Beijing, China |
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Diffusion kurtosis imaging (DKI) is an advanced diffusion model based on an extender b value which characterizes water diffusion process as non-gaussian distribution, accordingly parameters derived from DKI are highly sensitive to changes in the microstructural tissue organization and the complexity of anisotropic environments. This study aimed to investigate the correlation between the microstructural changes of anterior cingulum cortex (ACC) and depression in patients with cerebral small vascular disease (CSVD) by applying diffusion Kurtosis imaging. |
| 1682 | Application of quantitative susceptibility mapping of brain iron content in children with autism | |
| Shilong Tang1 and Lisha Nie2 | ||
1Children's Hospital of Chongqing Medical University, Chongqing, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
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ASD is caused by multiple factors,some of the pathogenic factors or possible pathogenic factors have not been clearly identified. For example, the detection of trace elements in some children with ASD found that iron content was lower than normal. Whether the lower-than-normal level of trace iron causes the lower-than-normal level of brain iron remains to be further confirmed, as does the direction of causality, i.e., whether the abnormal level of brain iron leads to the occurrence of the disease or whether the disease leads to the abnormal level of brain iron . |
| 1683 | Preliminary Assessment of Intravoxel Incoherent Motion Diffusion-Weighted MRI Metrics in Acute Carbon Monoxide Poisoning | |
| Shenghai Wang1, Juan Chen1, Kechao Xu1, Xiyao Zhang1, Haining Li2, and Zhengxian Zhang1 | ||
1Yan 'an People's Hospital, Yan 'an, China, 2First Affiliated Hospital of Xi 'an Jiaotong University, Xi 'an, China |
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The purpuse of this study was to assess microvascular perfusion and microstructural integrity using Intravoxel incoherent motion (IVIM) imaging in patients with acute CO poisoning.Thirteen patients with acute CO poisoning and 15 healthy subjects were enrolled. IVIM MRI was collected using a 3.0-T scanner.The ROIs analysis was perforemed. The IVIM perfusion fraction was significantly reduced in multiple brain regions and IVIM diffusion metirc was significantly decreased in centrum semiovale and multiple subcortical gray matter nucleis in CO poisoning. This study shows that IVIM-DWI may be a promising method to assess brain perfusion and injury in acute CO poisoning. |
| 1684 | A radiomics method to identify non-neuropsychiatric systemic lupus erythematosus with grey matter volume | |
| Xiangliang Tan1, Kan Deng2, Yingjie Mei2, Tianjing Zhang2, Yang Song3, Qiaoli Yao1, and Yikai Xu1 | ||
1Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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The present study tried to use radiomics models to find the neuroanatomical biomarkers that can improve diagnosis in distinguishing non-neuropsychiatric Systemic Lupus Erythematosus (non-NPSLE) patients from controls. The results demonstrate that the grey matter volume parameter is an effective classification feature for the radiomics models to identify non-NPSLE patients from HC subjects. This classification performance may suggest that the proposed method is a promising approach for improving the clinical diagnosis of systemic lupus erythematosus. |
| 1685 | Demyelination is related to deep gray matter iron deposition in CADASIL patients | |
| hui hong1, shuyue wang1, xinfeng Yu2, Yererfan Jiaerken2, Xiaojun Guan2, and minming zhang2 | ||
1radiology, Zhejiang University, hangzhou, China, 2radiology, the second affiliated hospital of zhejiang university, school of medicine, hangzhou, China |
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Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a genetic cerebral small vessel disease. Apart from widespread white matter hyperintensities (WMHs), increased deep gray matter iron deposition was also suggested. Whether there is an association between white matter injury and deep gray matter iron deposition is undetermined. Iron deposition in deep gray matter was supposed due to the secondary degeneration followed by destroyed white matter integrity. Therefore, we investigate the iron deposition the relationship between white matter integrity and iron deposition to reveal the underlying mechanism of deep gray matter iron deposition in CADASIL patients. |
| 1686 | Altered global functional network connectivity and its relationship to cognitive dysfunction in rheumatoid arthritis | |
| Zeyu Liu1, Bo Hou1, and Feng Feng1 | ||
1Peking Union Medical College Hospital, Beijing, China |
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Patients with rheumatoid arthritis (RA), a systemic autoimmune disease, had cognitive dysfunction. Resting-state functional MRI wasutilized to explore the whole-brain functional network connectivity in RA patients. The whole-brain functional connectivity strength in RA patients was altered and significantly correlated to cognitive performance. |
| 1687 | Limbic System Lateralization of Amide Proton Transfer Weighted Signals in Young Healthy Subjects | |
| Yuhan Jiang1, Weiwei Wang1, Peipei Chang1, Yingqiu Liuyang1, Bingbing Gao1, Yiwei Che1, Renwang Pu1, Qingwei Song1, Ailian Liu1, Zhiwei Shen2, Jiazheng Wang2, and Yanwei Miao1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer weighted (APTw) imaging is a novel molecular imaging technique to acquire the proton exchanged signals from the amide in proteins or peptides to water. Previous studies discover lateralization in the brain structure and function, including limbic system. However, it is not clear whether APTw also has lateral advantage. In this prospective study, we applied the automatic brain segmentation method to quantify the APTw signal values of limbic system in young healthy subjects. Significant differences of APTw signals between left and right brain hemisphere were found, which may suppose related with right-handedness. |
| 1688 | Diffusion Tensor Imaging in Cubital Tunnel Syndrome | |
| Ryckie George Wade1, Timothy T Griffiths1, Robert Flather1, Irvin Teh1, Hamied A Haroon2, David Shelley3, Sven Plein1, and Grainne Bourke3 | ||
1University of Leeds, Leeds, United Kingdom, 2University of Manchester, Manchester, United Kingdom, 3Leeds Teaching Hospitals, Leeds, United Kingdom |
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Cubital Tunnel Syndrome (CuTS) is the 2nd most common compressive neuropathy affecting 6% of the population. Surgical decompression is the most effective treatment, but clinicians lack a reliable test to select patients for surgery. Diffusion tensor imaging (DTI) characterises tissue microstructure and so, DTI was acquired from 14 controls and 8 patients awaiting surgery in this proof-of-concept study. Patients had a significantly lower FA and higher RD than controls, throughout the length of the ulnar nerve. Therefore, DTI may add objective evidence of the ‘health’ of the ulnar nerve and aid the management of cubital tunnel syndrome. |
| 1689 | Resting-state functional connectivity and brain network abnormalities in depressive patients with suicidal ideation | |
| Jun-Cheng Weng1,2,3, Yu-Syuan Chou4, Yuan-Hsiung Tsai5,6, and Vincent Chin-Hung Chen3,5 | ||
1Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, 5School of Medicine, Chang Gung University, Taoyuan, Taiwan, 6Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan |
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Our study aimed to investigate whether changes in brain function measured with functional magnetic resonance imaging (fMRI) can be detected among individuals with depressive disorders and suicidal ideation, including amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and graph theoretical analysis (GTA). We results suggest that brain functional connectivity may be affected in depressive patients with suicidal ideation. The findings from present study can serve as the basis for further algorithm studies by machine learning method to stratify the risk population. |
| 1690
|
Microstructural characterization of auditory pathway developmental trajectory from infancy through adolescence | |
| Kirsten Mary Lynch1, Ryan P Cabeen1, Stefanie C Bodison2,3, Arthur W Toga1, and Courtney C.J. Voelker4 | ||
1USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, United States, 2Chan Division of Occupational Science and Occupational Therapy, USC Herman Ostrow School of Dentistry, Los Angeles, CA, United States, 3Division of Pediatrics, USC Keck School of Medicine, Los Angeles, CA, United States, 4USC Caruso Department of Otolaryngology – Head and Neck Surgery, USC Keck School of Medicine, Los Angeles, CA, United States |
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Auditory perception is established through experience-dependent stimuli during sensitive developmental periods; however, little is known regarding the structural development of the central auditory pathway. The present study quantified the magnitude and timing of regional microstructural development of the auditory pathway from the brainstem to the auditory cortex from infancy through adolescence using DTI and NODDI metrics. We found spatially varying white matter maturation along the length of the tract, with inferior brainstem regions developing earliest. These results help to characterize the processes that give rise to functional auditory processing and may provide a baseline for detecting abnormal development. |
| 1691 | Assessment of microstructural changes following pediatric traumatic brain injury by advanced diffusion imaging | |
| Yohan van de Looij1,2, Alice Jacquens3,4, Pierre Gressens4,5, Vincent Degos3,4, and Stéphane V Sizonenko1 | ||
1Division of Development and Growth, Department of Paediatrics and Gynaecology-Obstetrics, University of Geneva, Geneva, Switzerland, 2Center for Biomedical Imaging, Animal Imaging Technology section, Federal Institute of Technology of Lausanne, Lausanne, Switzerland, 3Department of Anesthesia and Intensive Care, Pitié-Salpêtrière Hospital, Paris, France, 4PROTECT, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France, 5Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Traumatic brain injury (TBI) on the immature brain can have dramatic consequences on cerebral development. Understanding the underlying lesions of this abnormal development is of high interest. In this work, we used a mouse model of pediatric TBI at Postnatal day 7 (P7 - impact acceleration model) and assessed the long-term subsequent microstructural damages (at P45) using DTI and NODDI at 9.4T. Severe changes in white matter and cortical developments were observed. In conclusion, DTI derived parameters as well as NODDI estimates allow an accurate determination of the location and extent of the brain lesions following TBI. |
| 1692 | Characterization of individual DTI measurement age trajectories in a longitudinal study of autism spectrum disorder | |
| Nagesh Adluru1, Douglas C Dean III1, Molly Prigge2, Jace B King2, Nicholas T Lange3, Erin D Bigler4, Brandon Zielinski2, Janet E Lainhart1, and Andrew L Alexander1 | ||
1UW-Madison, Madison, WI, United States, 2University of Utah, Salt Lake City, UT, United States, 3Harvard Medical School, Boston, MA, United States, 4Brigham Young University, Provo, UT, United States |
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The purpose of this analysis is to investigate the patterns of individual rates of change of diffusion tensor imaging (DTI) measures computed from a longitudinal study of autism spectrum disorder (ASD). The mean value and temporal rates of change of DTI measures were estimated for regions of white matter for individual subjects. The distributions of the individual longitudinal slopes versus mean measures for ASD and typically developing controls (TDC) were mapped and compared, revealing group differences in the distributions with generally greater heterogeneity in the ASD group. |
| 1693 | Connectometry analysis of diffusion MRI in adolescents with sports-related concussion | |
| Hon J Yu1, Mark Fisher2, and Min-Ying Su1 | ||
1Radiological Sciences, University of California, Irvine, CA, United States, 2Neurology, University of California, Irvine, Orange, CA, United States |
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This study evaluates a feasibility of diffusion MRI based connectometry in capturing sports-related concussion (SRC) induced effects in adolescents using high school football players with and without concussion history as cohorts. The results revealed that although there were some common tract bundles whose segments showed significant correlation with concussion history independent of the diffusion metrics used (QA, MD, or FA), there were also different tract bundles that showed either positive or negative correlation with concussion depending on the diffusion metric used. A further study would be necessary to fully examine clinical relevance of this study’s findings in adolescents with SRC. |
| 1694 | Multimodality data improve diagnostic efficacy in brain injury of premature infants with necrotizing enterocolitis | |
| Chunxiang Zhang1, Meiying Cheng1, Kaiyu Wang2, Xin Zhao1, and Xiaoan Zhang1 | ||
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Diffusion tensor imaging (DTI) can noninvasively and quantitatively evaluate the development of brain white matter and myelination degree of damaged nerve fiber bundles. Serum C-reactive protein (CRP) and procalcitonin (PCT) as inflammatory indicators can easily reflect the systemic inflammation of necrotizing enterocolitis (NCE) in children. This study shows that the DTI combined with serum CRP and PCT was more effective than a single indicator in the diagnosis of brain developmental disorders in preterm infants with NEC. |
| 1695 | Early prediction of cognitive deficits in very preterm infants using graph convolutional networks with brain structural connectome | |
| Hailong Li1, Ming Chen1,2, Jinghua Wang3, Nehal A. Parikh4,5, and Lili He1,5 | ||
1Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States, 3Deep MRI Imaging Inc., Lewes, DE, United States, 4The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 5Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States |
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Up to 40% of very preterm infants (≤32 weeks’ gestational age) are identified with cognitive deficits at 2 years of age. Reproducible approaches that serve as neonatal prognostic tools are urgently needed for early treatment decision. We developed a graph convolutional network model to learn the latent topological features of brain structural connectome obtained at term-equivalent age for predicting cognitive deficits at 2 years corrected age in very preterm infants. The proposed model was able to identify infants at high-risk of cognitive deficits with a balanced accuracy of 78.5% and an area under the receiver operating characteristic curve of 0.78. |
| 1696 | A novel multi-filter convolutional neural network for prediction of cognitive deficits using structural connectome in very preterm infants | |
| Ming Chen1,2, Hailong Li1, Jinghua Wang3, Nehal A. Parikh4, and Lili He1 | ||
1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Electronic Engineering and Computing Science, University of Cincinnati, Cincinnati, OH, United States, 3Deep MRI Imaging Inc., Lewes, DE, United States, 4The Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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We proposed a novel multi-filter convolutional neural network for prediction of cognitive deficits using brain structural connectome data. In contrast to 2D grid convolutional filters in traditional convolutional neural networks, our proposed model contains multiple vector-shape convolutional filters that can better extract the topological information from brain connectome. We demonstrated the ability of our model to learn hidden patterns from brain connectome data for prediction tasks. Our proposed model was able to identify infants at a high risk of cognitive deficits with an area under the curve of 0.78, exceeding the performance of other existing peer convolutional neural network methods. |
| 1697
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An Automated Processing Pipeline for Diffusion MRI in the Baby Connectome Project | |
| Ye Wu1, Sahar Ahmad1, Khoi Minh Huynh1, Siyuan Liu1, Kim-Han Thung1, Weili Lin1, Pew-Thian Yap1, and UNC/UMN Baby Connectome Project Consortium1 | ||
1Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, United States |
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Processing baby diffusion MRI (dMRI) data is challenging due to the low and spatially-varying diffusion anisotropy, rendering standard analysis techniques developed for adult data inapplicable [1,2]. Here, we present a fully-automated processing pipeline for baby dMRI, tailored particularly to the data collected in the Baby Connectome Project (BCP). |
| 1698 | The effect of image pre-processing pipelines on age associations of diffusion and kurtosis in white matter | |
| Jenny Chen1, Benjamin Ades-aron1, Hong-Hsi Lee1, Durga Kullakanda1, Saurabh Maithani1, Dmitry S. Novikov1, Jelle Veraart1, and Els Fieremans1 | ||
1Radiology, NYU School Of Medicine, New York, NY, United States |
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Diffusion MRI is prone to various artifacts such as noise, eddy current artifacts, and Gibbs ringing. This study compares diffusion tensor imaging (DTI) and diffusional kurtosis imaging (DKI) parameter estimates among healthy subjects in their 20s to 80s using a minimal diffusion pre-processing approach from Human Connectome Project (HCP) and two DESIGNER (Diffusion parameter EStImation with Gibbs and NoisE Removal) pipelines, which corrects for additional imaging artifacts HCP pipeline does not account for. Our results show that preprocessing quantitatively impacts parameter estimation as well as alters observed age correlations. |
| 1699 | Age and Sex Effects on Brain White Matter Microstructure assessed with Advanced Single- and Multi-Shell Diffusion MRI Metrics | |
| Katherine E Lawrence1, Leila Nabulsi1, Vigneshwaran Santhalingam1, Zvart Abaryan1, Julio E Villalon-Reina1, Talia M Nir1, Iyad Ba Gari1, Alyssa H Zhu1, Elizabeth Haddad1, Alexandra M Muir1, Neda Jahanshad1, and Paul M Thompson1 | ||
1University of Southern California, Marina del Rey, CA, United States |
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Characterizing the brain’s white matter microstructure is crucial for improving our understanding of healthy and diseased aging. Here we examined the ability of both traditional diffusion methods (diffusion tensor imaging) and advanced diffusion methods (tensor distribution function, neurite orientation dispersion and density imaging, mean apparent propagator MRI) to capture age and sex effects on white matter microstructure in a large sample of aging adults (15,628 UK Biobank participants; age range 45-80 years). Advanced diffusion models exhibited the greatest sensitivity to participant age and sex, suggesting that future aging studies may benefit from using advanced diffusion approaches. |
| 1700 | Birth weight is associated with brain tissue volumes seven decades later but not age-associated changes to brain structure | |
| Emily Wheater1, Susan D Shenkin2,3, Susana Muñoz Maniega2,4, Maria Valdés Hernández2,4, Joanna M Wardlaw2,4, Ian J Deary4,5, Mark E Bastin2,4,6, James P Boardman1,2, and Simon R Cox4,5,6 | ||
1Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom, 2Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 3Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom, 4Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom, 5Psychology, University of Edinburgh, Edinburgh, United Kingdom, 6Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, United Kingdom |
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Birthweight is a commonly used indicator of fetal growth weight and has been associated with neuropsychiatric and neurological sequalae. However, little is known about how birth weight impacts the brain in later life. We found positive associations with total brain, grey matter and normal appearing white matter volumes in later life, but not with white matter microstructure or hyperintensities. This relationship is explained by larger head size, rather than by age-associated tissue atrophy, and is furthermore independent of body size. This suggests that larger birthweight is linked to increased brain tissue reserve, but not age-associated brain features. |
| 1701 | Profiling diffusion at the grey matter-white matter interface (GWI) to reveal unique microstructural features: proof of concept in aging | |
| Roman Fleysher1 and Michael L Lipton1 | ||
1Radiology, Albert Einstein College of Medicine, Bronx, NY, United States |
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Microstructure differs greatly between cortical gray matter and adjacent white matter and this point of transition, the gray-white matter interface, is a predilection site for pathologies, including traumatic brain injury, small vessel vasculitis and microembolic ischemic injury. The interface region presents challenges to both voxel-wise and region of interest (ROI) analyses, because small registration or ROI placement errors may lead to large errors in extracted diffusion metrics. We propose an approach to assess alteration of the sharpness of the gray-white matter interface and illustrate its potential utility through the detection of age-related decline of the sharpness of this transition. |
| 1702 | Longitudinal Apparent Diffusion Coefficient Trajectory in Different Severity Outcome Following Experimental Neonatal Hypoxic Ischemia | |
| Yu-Chieh Jill Kao1, Chia-Feng Lu1, Bao-Yu Hsieh2, Cheng-Yu Chen3, and Chao-Ching Huang4 | ||
1National Yang Ming University, Taipei, Taiwan, 2Chang-Gung University, Taoyuan, Taiwan, 3Taipei Medical University, Taipei, Taiwan, 4National Cheng Kung University, Tainan, Taiwan |
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Temporal and regional profile of ADC-related MR characteristics after neonatal hypoxic ischemia between mild and severe outcome was delineated at 6 h, 24 h and 7 days after injury. Significant difference in ADC trajectories obtained early after HI are observed between outcome groups, suggesting that distinct ADC changes may be associated to tissue damage severity along the progress of HI. |
| 1703 | MIITRA atlas: Construction of high resolution T1w and DTI brain templates in a common space, based on 400 older adults | |
| Yingjuan Wu1, Mohammad Rakeen Niaz1, Abdur Raquib Ridwan1, Xiaoxiao Qi1, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University, Chicago, IL, United States |
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As a critical step to establish the Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas, the present work aimed to: a) develop high quality 0.5mm resolution T1-weighted (T1w) and diffusion tensor imaging (DTI) templates in a common space using data from a large, diverse, community cohort of non-demented older adults, and b) quantitatively compare the new templates to existing templates in terms of spatial normalization accuracy of external data. The new T1w and DTI templates allowed higher inter-subject and inter-modality spatial normalization of older adult data compared to other templates. |
| 1704 | Using diffusional kurtosis imaging to capture white matter tissue complexity in aging: Does the choice of software package affect results? | |
| Hiba Taha1,2, Jordan A. Chad2,3, and J. Jean Chen2,3 | ||
1Human Biology, University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 3Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Studies in white matter (WM) aging have previously used diffusional kurtosis imaging (DKI), however it remains unclear if results have been affected by limited sample sizes or the choice of software package. In this study, we show positive age associations of diffusivity and negative age associations of kurtosis throughout WM tracts using two different DKI packages on a large sample of 700 adults. Unique regional specific changes were observed differentially using these two tools, suggesting that the choice of software package can influence the study of aging. |
| 1705
|
Orthogonal diffusion tensor decomposition reveals age-related degeneration patterns in complex fibre architecture | |
| Jordan A. Chad1,2, Ofer Pasternak3, and J. Jean Chen1,2 | ||
1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States |
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Diffusion tensor imaging (DTI) consistently detects increased mean diffusivity (MD) and decreased fractional anisotropy (FA) with age in single white matter (WM) bundles, but findings have been inconsistent in more complex fibre architecture. In this study, an orthogonal moment tensor decomposition yields clear degeneration patterns across complex fibre architecture, indicating that apparent challenges of DTI in these regions were due to the choice of tensor decomposition rather than the DTI model itself. This study therefore presents a revised view of DTI of aging WM and indicates how degeneration in complex fibre architecture can manifest in forms other than decreased FA. |
| 1706 | Exogenous sex hormone effects on brain microstructure in women: a diffusion MRI study in the UK Biobank | |
| Leila Nabulsi1, Katherine E Lawrence1, Vigneshwaran Santhalingam1, Zvart Abaryan1, Christina P Boyle1, Julio E Villalon-Reina1, Talia M Nir1, Iyad Ba Gari1, Alyssa H Zhu1, Elizabeth Haddad1, Alexandra M Muir1, Neda Jahanshad1, and Paul M Thompson1 | ||
1Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA, Los Angeles, CA, United States |
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In women, higher levels of sex-related hormones have been associated with increased risk for age-related neurodegenerative diseases such as Alzheimer’s disease. We measured age-associated effects of exogenous sex hormones on brain white matter microstructure in pre- and post-menopausal women, using four diffusion-weighted MRI models (DTI, TDF, NODDI and MAPMRI). Estrogen therapy alone was associated with accelerated aging in white matter metrics, compared to hormone replacement therapy containing both estrogen and progestin. This effect was most evidenced by multi-shell diffusion method NODDI, compared to DTI and other advanced diffusion methods. |
| 1707 | Effect of age on white matter microstructure in nondemented ApoE4 carriers and non-carriers | |
| Patcharaporn Srisaikaew1,2, Jordan A. Chad3,4, Pasuk Mahakkanukrauh1,5, Nicole D. Anderson3,6, and J. Jean Chen3,4 | ||
1Department of Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand, 2PhD Program in Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand, 3Rotman Research Institute, Baycrest Health Centre, Toronto, ON, Canada, 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 5Excellence in Osteology Research and Training Center (ORTC), Chiang Mai University, Chiang Mai, Thailand, 6Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada |
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With advancing age, ApoE4 increases the risk of developing AD compared to non-carriers. TBSS analysis and FSL’s randomise permutation tool were used to test diffusivity (FA, MD, RD, AxD, MO, and NA) differences in the effect of age in nondemented ApoE4+ compared to ApoE4- older adults. The difference between groups in the association of DTI metrics and age was most present in posterior WM regions. MO and NA were more sensitive to age-related effects than conventional DTI metrics in crossing fibres. We support the changes in DTI metrics due to the manifestation of the ApoE4 across whole-brain age-related WM microstructures. |
| 1708 | Longitudinal Brain Atlases of Early Developing Cynomolgus Macaques from Birth to 48 Months of Age | |
| Tao Zhong1,2, Liangjun Chen2, Fenqiang Zhao2, Zhengwang Wu2, Yuchen Pei2, Ya Wang2, Li Wang2, Yuyu Niu3, Yu Zhang1, and Gang Li2 | ||
1Southern Medical University, Guangzhou, China, 2University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Kunming University of Science and Technology, Kunming, China |
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In analyzing the early postnatal brain development featuring extremely dynamic imaging contrast, brain appearance, shape and size, longitudinal brain atlases with densely sampled time-points and ancillary anatomical information are of great importance, but remain absent in cynomolgus macaques, which is a highly valuable animal model for understanding human brains. To fill this critical gap, we construct the first set of spatiotemporal (4D) brain atlases and associated ancillary anatomical information with 12 time-points (i.e., 1, 2, 3, 4, 5, 6, 9, 12, 18, 24, 36, and 48 months of age) based on 175 longitudinal structural MRI scans from 46 cynomolgus macaques. |
| 1709 | Widespread effect of age related macular degeneration on brain structural integrity. | |
| Jacques Andrew Stout1, Robert BJ Anderson2, Simon Wilton Davis3, Jie Zhuang3,4, David Dunson5,6, Heather Elisabeth Whitson7, and Alexandra Badea1,2,3 | ||
1BIAC, Duke School of Medicine, Durham, NC, United States, 2Duke Radiology, Duke School of Medicine, Durham, NC, United States, 3Duke Neurology, Duke School of Medicine, Durham, NC, United States, 4School of Psychology, Shanghai University of Sport, Shanghai, China, 5Statistics, Duke University, Durham, NC, United States, 6Trinity College of Arts & Sciences, Duke University, Durham, NC, United States, 7Geriatrics, Duke School of Medicine, Durham, NC, United States |
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Age-related macular degeneration (AMD) has been associated with brain degeneration, particularly in the cortical regions of the brain. Our study involved the comparison of subjects with AMD to subjects, with both an initial scan at the beginning of the study, and a secondary one two years later. Using anatomical and diffusion acquisitions, we ascertained that there was a marked decrease in cortical volumetry and fractional anisotropy (FA), and that it evolved very rapidly in the case of FA. A PCA run on the connectivity matrices also identified the connections that were most affected. |
| 1710 | Spiral diffusion imaging at 800 µm resolution using a scanner with 300 mT/m gradients and gradient field monitoring | |
| Luke Joel Edwards1, Kerrin J. Pine1, Shubhajit Paul1, Fakhereh Movahedian Attar1, Michael Herbst2, Mirsad Mahmutović3, Boris Keil3, Harald Möller4, Evgeniya Kirilina1,5, and Nikolaus Weiskopf1,6 | ||
1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Gengenbach, Germany, 3Institute of Medical Physics and Radiation Protection, TH Mittelhessen University of Applied Sciences, Giessen, Germany, 4NMR Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 5Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 6Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany |
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Spiral diffusion weighted imaging (DWI) with field monitoring and iterative reconstruction offers potentially reduced echo time (TE) and higher effective resolution (less blurring) compared to EPI. Coupled with a scanner with ultra-strong gradients, it enabled an 800 µm DWI protocol for imaging fine structures of the brain in vivo. Compared to EPI, the shorter TEs provided distinctly different contrast in iron-rich areas (U-fibres and sub-cortical nuclei), which could enhance investigations of these regions. The protocol did, however, come with a reduction in SNR/(unit time) compared to EPI due to differences in readout time. |
| 1711 | Anisotropic transverse relaxation in the human brain white matter induced by restricted rotational diffusion | |
| Yuxi Pang1 | ||
1Dept. of Radiology, University of Michigan, Ann Arbor, MI, United States |
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Orientation-dependent transverse ($$$R_2$$$ and $$$R_2^*$$$) relaxation phenomena have been documented in the human brain white matter, yet the underlying relaxation mechanisms still remain not well understood. This work is to propose an alternative relaxation pathway through restricted molecular rotational diffusion, in terms of a generalized magic angle effect (gMAE) model, to better characterize recently reported anisotropic $$$R_2$$$ of myelin water and intra- and extracellular water in vivo at 3T. The proposed gMAE model is intrinsically connected with anisotropic translational diffusion from DTI, elucidating not only previously reported $$$R_2^*$$$ anisotropy ex vivo but also its temperature-dependence at 7T. |
| 1712 | High-Resolution Post-Mortem Diffusion MRI Acquisitions for Connectivity Analyses in Chimpanzees | |
| Cornelius Eichner1, Michael Paquette1, Guillermo Gallardo1, Christian Bock2, Jenny E. Jaffe3,4, Carsten Jäger1, Evgeniya Kirilina1,5, Ilona Lipp1, Toralf Mildner1, Torsten Schlumm1, Felizitas C Wermter2, Harald E. Möller1, Nikolaus Weiskopf1, Catherine Crockford4,6, Roman Wittig4,6, Angela D Friederici1, and Alfred Anwander1 | ||
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, 3Project Group Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, Berlin, Germany, 4Tai Chimpanzee Project, Centre Suisse de Recherches Scientifiques en Cote d'IVoire, Abidjan, Cote D'ivoire, 5Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 6Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany |
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Detailed neuroanatomical comparisons between humans and chimpanzees could greatly benefit evolutionary neuroscience. However, ethical considerations regarding primate research disallow acquisitions of chimpanzee MRI data in vivo for multiple years. Hence, the availability of diffusion MRI (dMRI) and tractography data from chimpanzees is limited to a few previously acquired datasets. Here we optimize diffusion acquisitions for an interdisciplinary approach to great ape neuroimaging, using post-mortem dMRI data from naturally deceased wild and captive animals. The optimization of data quality from two acquisition strategies allowed to us acquire chimpanzee diffusion MRI data of unpreceded quality and reopen a gateway for evolutionary neuroscience. |
| 1713 | IVIM quantification and b-value optimization using deep neural network | |
| Wonil Lee1, Byungjai Kim1, Jongyeon Lee1, and HyunWook Park1 | ||
1KAIST, Daejeon, Korea, Republic of |
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Many studies have been performed to show that IVIM could be used as a biomarker for various diseases(1-5). Since IVIM is formulated by a biexponential model, it is difficult to quantify the IVIM parameters. Researchers have tried to solve the inverse problems of the biexponential model using two approaches:improving fitting method and selecting optimized b-values(6-8). The trained DNN and the optimized b-values by the proposed method quantified IVIM parameters more accurately than combination of the conventional b-value optimization schemes with DNN fitting method. The optimized b-values by the proposed method showed superior performance even when combined with other fitting methods. |
| 1714
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Technical performance of ADC and IVIM measurements in glioma and normal brain on a 1.5T MR-Linac | |
| Liam S. P. Lawrence1, Rachel W. Chan2, Hanbo Chen3, Brian Keller3, James Stewart3, Mark Ruschin3, Brige Chugh3,4, Mikki Campbell3, Aimee Theriault3, Greg J. Stanisz1,2,5, Scott MacKenzie3, Sten Myrehaug3, Jay Detsky3, Pejman J. Maralani6, Chia-Lin Tseng3, Greg J. Czarnota1,2,3, Arjun Sahgal3, and Angus Z. Lau1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Physics, Ryerson University, Toronto, ON, Canada, 5Department of Neurosurgery and Paediatric Neurosurgery, Medical University of Lublin, Lublin, Poland, 6Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada |
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Technical performance evaluation of diffusion parameters on MR-Linacs (MRLs) is important for cancer applications. We evaluated the accuracy and repeatability of 1.5T MRL measurements of apparent diffusion coefficient (ADC) and intravoxel incoherent motion blood volume fraction (IVIM-f) in the brain via comparison with a diagnostic-quality scanner, in patients undergoing treatment. ADC measurements agree in normal and tumour tissue, but are biased in cerebrospinal fluid. IVIM-f measurements are likely negatively biased. Repeatability is comparable between scanners. The majority of high-grade glioma patients demonstrated significant ADC changes, but not IVIM-f changes. |
| 1715 | A new superficial white matter connectivity atlas of the chimpanzee brain | |
| Maëlig Chauvel1, Ivy Uszynski1, William Hopkins2, Jean-François Mangin1, and Cyril Poupon1 | ||
1Université Paris-Saclay, CEA, CNRS, BAOBAB, Neurospin, Gif-sur-Yvette, France, 2Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, TX, United States |
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Mapping the chimpanzee brain connectome is a key to the comprehension of the singularity of the human brain evolution. Contrary to the macaque species, few studies have been performed in vivo on chimpanzees due to its proximity with humans. While different atlases of the structural connectivity exist for humans, we established the first superficial atlas of the white matter connectivity in chimpanzees, using diffusion MRI-based tractography and advanced fiber clustering techniques. |
| 1716 | Internal gradient distribution tensors of white matter tracts models | |
| Jesus E. Fajardo1 and Gonzalo A. Álvarez1,2,3 | ||
1Centro Atómico Bariloche, CONICET, CNEA, 8400, San Carlos de Bariloche, Argentina, 2Instituto Balseiro, CNEA, Universidad Nacional de Cuyo, 8400, San Carlos de Bariloche, Argentina, 3Instituto de Nanociencia y Nanotecnología, CONICET, CNEA, San Carlos de Bariloche, Argentina |
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Detecting non-invasively tissue-microstructural changes associated with pathologies constitutes a promising diagnosis paradigm. Susceptibility-induced magnetic field gradients constitute a way to obtain microstructural information which is expected to complement Diffusion Weighted Imaging (DWI) methods, since these methods arise from distinct physical phenomena. We performed simulations that show the potential of extracting quantitative tissue-microstructure information of axons in the white matter based on internal-gradient-distribution tensors. We show promising results that can allow detecting alterations in axon diameters, axon density and demyelination using internal gradient distributions as a diagnostic tool. |
| 1717 | Resolution and b Value Dependent Structural Connectome for Ex Vivo Mouse Brain | |
| Stephanie Allan Crater1 and Nian Wang2 | ||
1Duke University, Durham, NC, United States, 2Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, United States |
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Tractography and structural connectome have been widely used in preclinical studies in recent years. However, assessment of the experimental parameters for the final outputs of diffusion MRI is still lack. In this study, we acquired an ex vivo mouse brain high spatial (50 µm isotropic) and angular resolution (384 diffusion encoding directions) diffusion MRI dataset in a preclinical 9.4T system. We analyzed the tractography and connectome under different experimental conditions, including b value, spatial resolution, and angular resolution. |
| 1718 | In Vivo Diffusion Tensor Distribution MRI of the Human Brain Using 300 mT/m Gradients | |
| Kulam Najmudeen Magdoom1, Alexandru V. Avram1, Dario Gasbarra2, Qiuyun Fan3, Thomas Witzel3, Susie Y Huang3, and Peter J Basser1 | ||
1National Institute of Health, Bethesda, MD, United States, 2University of Helsinki, Helsinki, Finland, 3Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States |
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Measuring and mapping the diffusion tensor distribution (DTD) via MRI holds the promise of revealing the tissue microstructure at sub-voxel resolution. In this study, we show the DTD results obtained on a human brain in-vivo using the new framework at MGH Connectome scanner with 300 mT/m gradients. The DTD within a voxel is assumed to be a normal tensor variate distribution constrained (CNTVD) within the manifold of 3 x 3 symmetric positive definite matrices. The estimated DTD is used to obtain a family of metrics which aim to disentangle size, shape and orientation heterogeneities present within a voxel. |
| 1719 | A Deep Learning Method for Connectome Reconstruction Using Clinical MRI Protocols | |
| Rui Zeng1, Jinglei Lv2, He Wang3, Luping Zhou2, Michael Barnett2, Fernando Calamante2, and Chenyu Wang2 | ||
1School of Biomedical Engineering, The University of Sydney, Sydney, Australia, 2The University of Sydney, Sydney, Australia, 3Fudan University, Shanghai, China |
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In this study, a deep learning model called FODSRM was developed for fiber orientation distribution (FOD) super-resolution, which enhances single-shell low-angular-resolution FOD computed from clinic-quality dMRI data (e.g., 32 directions b=1000) to obtain the super-resolved high-angular resolution quality that would have been produced from advanced research scanners (e.g., multi-shell HARDI data). The results demonstrate that the super-resolved FOD data generated by the proposed method can generate high-definition structural connectome from clinical acquisition protocols, even when applied to data from a protocol not included in the trained dataset. |
| 1720 | Estimation of individual brain signature and node-wise sensibility by a community-based DW-MRI connectome analysis | |
| Juan Luis Villarreal Haro1,2, Gabriel Girard1,3,4, Jean Philippe Thiran1,4, and Alonso Ramírez-Manzanares2 | ||
1Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Computer Science Department, CIMAT, Centro de Investigación en Matemáticas, Guanajuato, Mexico, 3CIBM Center for BioMedical Imaging, Lausanne, Switzerland, 4Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland |
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In this work, we study the effect of the reconstruction pipeline s on the reproducibility and sensitivity of the DW-MRI brain connectivity graphs. The brain database we analyze contains several scan repetitions that allow us to characterize the impact of different reconstruction pipeline parameters on the connectomes' topology. We use a novel methodology to detect robust graph communities and show the level of reproducibility of the brain structure/biomarkers. Moreover, we proposed a tool to identify the less-robust graph nodes that suffer the effects of the reconstruction pipelines' variability. |
| 1721 | Multimodal Apparent Diffusion (MAD) Magnetic Resonance Imaging with comprehensive quantification of diffusion in the brain | |
| Frederick C. Damen1, Alessandro Scotti1, Frederick W. Damen2, Nitu Saran1, Tibor Valyi-Nagy3, Mirko Vukelich1, and Kejia Cai1 | ||
1Radiology, University of Illinois at Chicago, Chicago, IL, United States, 2Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Pathology, University Of Illinois at Chicago, Chicago, IL, United States |
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In physiological and pathological conditions in which multiple underlying tissue properties are expected to vary the diffusion weighted signal, the diagnostic value of conventional apparent diffusion coefficient (ADC) notably decreases. The proposed method extracts four separate distributions, i.e., modes, of diffusion weighted signal, which includes flow and unimpeded, hindered, and restricted diffusion, thereby increasing the precision of quantification of the hindered diffusion in grey and white matters. |
| 1722 | Anatomical connectivity of the anterior-posterior axis of the human hippocampus: new insights using quantitative fibre-tracking | |
| Marshall Axel Dalton1, Arkiev D'Souza2, Jinglei Lv1, and Fernando Calamante3 | ||
1School of Biomedical Engineering, Faculty of Engineering, University of Sydney, Sydney, Australia, Sydney, Australia, 2DVC Research, Brain and Mind Centre, University of Sydney, Sydney, Australia, Sydney, Australia, 3Sydney Imaging, University of Sydney, Sydney, Australia, Sydney, Australia |
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The hippocampus is a brain structure central to a broad range of cognitive functions including episodic memory but we know surprisingly little about how different parts of the human hippocampus anatomically connect with cortical regions to support key functions such as memory. We combined high-quality data from the Human Connectome Project with cutting-edge fibre-tracking methods to quantitatively characterise structural connectivity (SC) between the anterior/middle/posterior portions of the hippocampus and whole brain. We also mapped the distribution of endpoints within the hippocampus for streamlines connecting from cortical regions. Our results provide key contributions to ongoing efforts to characterise human hippocampal SC. |
| 1723 | Semi-automated assessment of the principal diffusion direction in the corpus callosum: application across brain diseases | |
| Maria Eugenia Caligiuri1, Andrea Quattrone2, Alessandro Mechelli2, and Aldo Quattrone1 | ||
1Neuroscience Research Center, University "Magna Graecia", Catanzaro, Italy, 2Institute of Neurology, University "Magna Graecia", Catanzaro, Italy |
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We propose a novel, semi-automated approach to assess corpus callosum integrity at the individual level, based on the spatial distribution of the principal diffusion direction orientation. We applied the method to the clinical challenge of differentiating normal pressure hydrocephalus (iNPH, N=23) from progressive supranuclear palsy (PSP, N=27) and Alzheimer’s Disease (AD, N=35), whose shared clinical and radiological features can make early differential diagnosis difficult. We found differential involvement of PDD distribution across neurodegenerative (AD, PSP) and non-degenerative diseases (such as iNPH), a finding that could shed light on the different mechanisms that underlie tissue damage. |
| 1724
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Harmonization of diffusion kurtosis imaging metrics with rotational invariant spherical harmonics (RISH) to remove cross-site biases | |
| Alberto De Luca1,2, Suheyla Cetin Karayumak3, Alexander Leemans2, Yogesh Rathi3, Stephan Swinnen4,5, Jolien Gooijers4,5, Amanda Clauwaert4,5, Roald Bahr6, Stian Bahr Sandmo6, Nir Sochen7,8, David Kaufmann9, Marc Muehlmann10, Geert-Jan Biessels1, Inga K Koerte3,11, and Ofer Pasternak3 | ||
1Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 2PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 4Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium, 5Brain Institute, KU Leuven, Leuven, Belgium, 6Oslo Sports Trauma Research Center, Norwegian School of Sport Sciences, Oslo, Norway, 7Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel, 8Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 9Department of Radiology, Charite University Hospital, Berlin, Germany, 10Department of Radiology, LMU Munich, Munich, Germany, 11cBRAIN, Department of Child and Adolescent Psychiatry, LMU Munich, Munich, Germany |
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Diffusion Kurtosis Imaging (DKI) metrics computed from diffusion MRI (dMRI) are affected by different acquisition protocols and scanner properties which limits their implementation in multicentric studies. We investigated whether harmonizing multi-shell dMRI with the rotation invariant spherical harmonics (RISH) method allows to remove cross-site differences in DKI metrics while retaining longitudinal effects. 46 subjects underwent a longitudinal two-shell dMRI protocol in 3 imaging sites. Our results show that the RISH method removes inter-site differences both at whole-brain and voxel-level while maintaining the effect-size of longitudinal changes, and is thus promising for the implementation of multi-site DKI studies. |
| 1725 | Subsampling Diffusion Gradients via Poisson Sphere Elimination | |
| Ye Wu1, Sahar Ahmad1, Lei Ma1, Erkun Yang1, and Pew-Thian Yap1 | ||
1Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, United States |
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Subsampling from a set of diffusion gradient directions is useful for evaluation of image acquisition and reconstruction strategies. However, a challenge associated with gradient subsampling is the requirement to ensure uniform distribution of a predetermined number of subsampled directions. Here, we introduce a method for near-uniform subsampling for an arbitrary target number of gradient directions. |
| 1726 | Subsampling an existing diffusion MRI multi-shell scheme: impact on histogram measures derived from DTI and DKI | |
| Ana R Fouto1, Rita G Nunes1, Amparo Ruiz-Tagle1, Marc Golub1, Inês Esteves1, Athanasios Vourvopoulos1, Raquel Gil-Gouveia2, Andreia C Freitas1, Nuno A Silva3, and Patrícia Figueiredo1 | ||
1ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2Neurology Department, Hospital da Luz, Lisbon, Portugal, 3Learning Health, Hospital da Luz, Lisbon, Portugal |
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Multi-shell diffusion MRI sampling schemes require long acquisition times and are hence potentially compromised by poorer subject compliance. There is therefore a need to consider strategies to enable shortening the exam to ensure clinical feasibility, while maintaining cross-exam comparability. We analyzed the impact of subsampling a multi-shell scheme on the estimation of diffusion maps. In particular, we evaluated its effect on histogram-derived metrics computed over skeletonized maps of DTI and DKI parameters. Several metrics showed a significant effect of subsampling. This should be carefully considered depending on the effect size we are trying to measure on a patient’s population. |
| 1727 | Evaluation of noise/signal leaking in PCA-based DWI denoising methods | |
| Hu Cheng1 | ||
1Indiana University, Bloomington, IN, United States |
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We propose a novel but simple method to evaluate noise/signal leaking in PCA-based denoising for diffusion MRI. This method was applied on MP-PCA and LPCA on a human dataset acquired with the ABCD protocol. The results show that MP-PCA is more conservative in removing the noise than LPCA and therefore has little signal leaking. On the other hand, LPCA has less noise leaking as it removed more noise than MP-PCA. Our proposed method can be an effective tool in assessing denoising performance in practice. |
| 1728 | On the generalizability of diffusion MRI signal representations across acquisition parameters: chronicles of the MEMENTO challenge. | |
| Alberto De Luca1,2, Andrada Ianus3,4, Alexander Leemans2, Marco Palombo5, Hui G Zhang5, Daniel C Alexander5, Markus Nilsson6, Geert-Jan Biessels1, Mauro Zucchelli7, Matteo Frigo7, Enes Albay7,8, Sara Sedlar7, Abib Alimi7, Samuel Deslauriers-Gauthier7, Rachid Deriche7, Rutger Fick9, Maryam Afzali10, Tomasz Pieciak11,12, Fabian Bogusz11, Santiago Aja-Fernandez12, Evren Özarslan13,14, Derek K Jones10, Haoze Chen15, Mingwu Jin16, Zhijie Zhang15, Fengxiang Wang15, Vishwesh Nath17, Prasanna Parvathaneni18, Jan Morez19, Jan Sijbers19, Ben Jeurissen19, Shreyas Fadnavis20, Stefan Endres21, Ariel Rokem22, Eleftherios Garyfallidis20, Irina Sanchez23, Vesna Prchkovska23, Paulo Rodrigues23, Bennett A Landman24, and Kurt G Schilling24 | ||
1Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 2PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 4Centre for Medical Imaging Computing, University College London, London, United Kingdom, 5Centre for Medical Image Computing, University College London, London, United Kingdom, 6Clinical Science, Department of Radiology, Lund University, Lund, Sweden, 7Inria Sophia Antipolis – Méditerranée, Université Côte d'Azur, Sophia Antipolis, France, 8Istanbul Technical University, Instanbul, Turkey, 9Therapanacea, Paris, France, 10Cardiff University Brain Research, Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 11AGH University of Science and Technology, Krakow, Poland, 12LPI, ETSI Telecomunicacion, Universidad de Valladolid, Valladolid, Spain, 13Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 14Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden, 15School of Instruments and Electronics, North University of China, Taiyuan, China, 16Department of Physics, University of Texas at Arlington, Arlington, TX, United States, 17NVIDIA Corporation, Bethesda, MD, United States, 18National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, MD, United States, 19Imec-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium, 20Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States, 21Leibniz Institute for Materials Engineering - IWT, University of Bremen, Bremen, Germany, 22Department of Psychology and the eScience Institute, University of Washington, Seattle, WA, United States, 23QMENTA Inc, Barcelona, Spain, 24Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States |
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The acquisition and modelling of diffusion MRI (dMRI) data offer many opportunities to explore the organization of the brain. A variety of methods has been proposed to this end, but their generalizability to different diffusion encodings and stronger gradients remains unknown. In the MEMENTO challenge, we asked participants to predict dMRI signals collected with single, double and double oscillating diffusion encodings in combination with a variety of weighting parameters. We received eighty-three submissions ranging from signal representations to multicompartment models and deep learning-based predictions, which offer a unique perspective to investigate the status quo of the field. |
| 1729 | Measurement of radiofrequency absorption and thermal diffusion coefficients of brain tissue | |
| David H Gultekin1, Peter H Siegel2,3, John T Vaughan1, and John C Gore4 | ||
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 2Jet Propulsion Laboratory, National Aeronautics and Space Administration, Pasadena, CA, United States, 3Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, United States, 4Vanderbilt University Institute of Imaging Science, Nashville, TN, United States |
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A method is introduced to measure the absorption coefficient and the thermal diffusion coefficient of ex vivo brain tissue exposed to radiofrequency radiation emitted from a half wavelength dipole antenna and a rectangular waveguide using MRI and thermocouples. By analyzing the spatial and temporal variations of thermal gradients, it is possible to measure simultaneously both the absorption coefficient and the thermal diffusion coefficient in brain tissue in a single experiment. |
| 1904 | Maturation and degeneration of the human brainstem across the adult lifespan | |
| Luis E. Cortina1, Richard G. Spencer1, and Mustapha Bouhrara1 | ||
1NIA, Baltimore, MD, United States |
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Brainstem tissue microstructural properties change across the adult lifespan. However, investigations elucidating the biological processes that govern brainstem maturation and degeneration are lacking. Here, we implement a multi-parameter approach to characterize the sex- and age-differences in a large cognitively unimpaired adult cohort. Our findings demonstrate quadratic associations between MR metrics and age as well as sexual dimorphism in certain MR metrics. Finally, our results indicate that myelination follows a temporally symmetric time course across the adult lifespan, while axons appear to degenerate significantly more rapidly than they mature. |
| 1905 | Sexual dimorphism in Alzheimer’s disease evaluated by free-water DTI and voxel-based morphometry | |
| Maurizio Bergamino1, Elizabeth G Keeling1,2, Ryan R Walsh3, and Ashley M Stokes1 | ||
1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 2School of Life Sciences, Arizona State University, Tempe, AZ, United States, 3Muhammad Ali Parkinson Center at Barrow Neurological Institute, Phoenix, AZ, United States |
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The objective of this study was to investigate differences in white matter (WM) integrity and grey matter (GM) volumes between males and females in healthy aging and Alzheimer’s Disease using free-water diffusion tensor imaging (FW-DTI) and voxel-based morphometry (VBM) analyses, respectively. |
| 1906 | MIITRA atlas: Development and evaluation of high-resolution gray matter labels | |
| Mohammad Rakeen Niaz1, Yingjuan Wu1, Abdur Raquib Ridwan1, Xiaoxiao Qi1, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States |
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The Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas contains high resolution (0.5mm) T1-weighted (T1w) and diffusion tensor imaging (DTI) templates, constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults. The purpose of this work was twofold: a) to construct high resolution gray matter labels for the MIITRA atlas based on manually edited gray matter labels of the older adults included in the atlas, and b) to evaluate the performance of the new labels in labeling the gray matter of a separate group of older adults. |
| 1907 | Frequency-dependent changes in the spontaneous neural activity are associated with cognitive impairment in patients with presbycusis | |
| fei gao1, fuxin ren1, weibo chen2, and muwei li3 | ||
1Shandong Medical Imaging Research Institute, Shandong University, jinan, China, 2Philips Healthcare, shanghai, China, 3Vanderbilt University Institute of Imaging Science, Nashville, TN, United States |
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Previous studies have linked Presbycusis (PC) to cognitive impairment and incident Alzheimer’s disease. However, the neural mechanisms of cognitive impairment in patients with PC remain unclear. Although resting-state functional MRI studies have explored low-frequency oscillation (LFO) connectivity or amplitude of PC-related neural activity, it remains unclear whether the abnormalities occur within all frequency bands or within specific frequency bands. Therefore, we applied ALFF to examine changes in LFO amplitudes in PC patients at different frequency bands (slow-4 and slow-5). Then, we used brain regions showing altered ALFF as seeds to explore FC between these regions and all other brain voxels. |
| 1908 | Myelin Water Fraction Imaging in Patients with Alzheimer’s Disease and Mild Cognitive Impairment | |
| Geon-Ho Jahng1,2, Ji Yoon Lee3, Seung-Hyun Lim1, Hak Young Rhee4, Soonchan Park1,2, Jongho Lee5, and Chang-Woo Ryu1,2 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Medicine, Kyung Hee University, Seoul, Korea, Republic of, 3Biomedical Engineering, Kyung Hee University, Yongin-si, Korea, Republic of, 4Neurology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 5Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of |
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The objective of this study was to investigate myelin loss in participants with AD, MCI, and cognitively normal (CN) elderly using the whole brain MWF map. The ViSTa-GRASE sequence provides the good MWF map in a reasonable scan time to evaluate myelin loss in AD patients. MWF was significantly reduced in AD compared with CN, indicating the presence of widespread demyelination in AD. In addition, MWF was significantly correlated with memory decline, indicating that MWF could serve as a potential imaging biomarker for AD for evaluating demyelination and predicting treatment outcomes. |
| 1909 | Cerebral Iron Deposition in Gray Nucleus Affect Cognitive Status in AD Patients: A Preliminary Quantitative Susceptibility Mapping Study | |
| Yangyingqiu Liu1, Yanwei Miao1, Ailian Liu1, Lizhi Xie2, and Bing Wu2 | ||
1Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China |
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Iron deposition of the gray matter nucleus is quantitatively assessed by magnetic sensitivity value (MSV)using quantitative susceptibility mapping (QSM), and its’correlation to cognitive scores is also analyzed in patients with Alzheimer's disease (AD).The results show that increased MSV value of gray matter nucleus in AD patients may affect cognitive scores. |
| 1910 | Microvascular MRI Signal Changes in the Presence of Amyloid-Beta Plaques or Microbleeds: A Simulation Study | |
| Geon-Ho Jahng1,2, Chang Hyun Yoo3, Seokha Jin4, DongKyu Lee4, and HyungJoon Cho4 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Medicine, Kyung Hee University, Seoul, Korea, Republic of, 3Physics, Kyung Hee University, Seoul, Korea, Republic of, 4Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of |
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We simulated the changes in microvascular (MV) MRI signals with and without existing amyloid-beta plaques or microbleeds in an imaging voxel. The Monte Carlo simulations with the finite perturber method were used to calculate MV indices of mean vessel diameter (mVD), vessel size index (VSI), mean vessel density (Q), blood volume fraction (BVf), and microvessel-weighted imaging (MvWI). The simulation was performed with three different voxel environmental conditions: only the MV structures, MV structures with amyloid-beta plaques, and MV structures with microbleeds. |
| 1911 | Association between Brain Tissue Loss and Blood Biomarkers of HO-1, PPIA, and IRE1 in Patients with Alzheimer’s Disease | |
| Geon-Ho Jahng1,2, Ji Yoon Lee3, Hak Young Rhee4, Wonchae Choe5, and Chang-Woo Ryu1,2 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Medicine, Kyung Hee University, Seoul, Korea, Republic of, 3Biomedical Engineering, Kyung Hee University, Yongin-si, Korea, Republic of, 4Neurology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 5Biochemistry and Molecular Biology, Kyung Hee University, Seoul, Korea, Republic of |
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We evaluated the relationship between imaging biomarker by GMV changes and blood biomarkers by plasma levels of HO-1, PPIA, and IRE1 in the groups of cognitively normal (CN), amnestic mild cognitive impairment (MCI), and AD participants. Our study demonstrates that subjects with AD have lower circulating levels of HO-1 than subjects with MCI and the plasma HO-1 levels were positively associated with the global GMV. Considering the potential roles of each enzyme in pathogenesis of AD, the plasma circulating levels of these enzymes possibly reflect the pathological changes of the brain in AD and would be candidates for blood-based biomarkers. |
| 1912 | Alterations and associations between magnetic susceptibility of the basal ganglia and diffusion properties in Alzheimer's disease | |
| Xiuxiu Liu1, Lei Du1,2, Wenwen Gao1, Bing Liu1,2, Yue Chen1, Yige Wang1,2, Guolin Ma1, and Weiyin Liu3 | ||
1Department of Radiology, China-Japan Friendship Hospital, Beijing, China, 2Graduate School of Peking Union Medical College, Beijing, China, 3GE Healthcare, Beijing, China |
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Whether excessive iron deposition in basal ganglia of Alzheimer’s patients can affect the diffusion function of white matter is still unknown. There were 30 Alzheimer’s patients and 19 healthy controls in this study. We used diffusion tensor imaging and quantitative susceptibility mapping to discover the alterations of diffusion function and magnetic susceptibility of brain and associations between diffusion indexes, magnetic susceptibility, and cognitive function. This study revealed that diffusion indexes and magnetic susceptibility changed which were related to cognitive impairment. In addition, increasing magnetic susceptibility due to iron deposition may adversely affect the diffusion function of brain. |
| 1913 | Relating Non-invasive Imaging Features of Vascular Aging in the Rodent Brain and Aorta | |
| Erik Taylor1 | ||
1Radiology, University of New Mexico, Albuquerque, NM, United States |
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Diseases with age as the primary risk factor increase in prevalence as life expectancy increases. Aging is implicated in cardiovascular (CV) disease and neurodegeneration. As the stiffness of the proximal aorta increases, damaging pulses of pressure have been postulated to propagate into the brain. The purpose of this study was to relate vascular and brain pathology through non-invasive measures in normal and hypertensive rodents. Brain pathology was detected by multiple MRI contrast mechanisms, while specific vascular parameters were derived from ultrasound in the aorta. Non-invasive measures relating brain and vascular aging could aid in the future development of therapeutic strategies. |
| 1914 | Associations between Resting-state EEG and fMRI signals in Brain Aging | |
| Xiaole Zhong1 and J. Jean Chen1,2 | ||
1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Frequency and amplitude features for EEG and resting-state functional magnetic resonance imaging (rs-fMRI) data are individually used in human brain aging research. However, the association between the age effects on these two modalities is still unknown. In this study, we examined age effects on EEG and rs-fMRI from both frequency and amplitude perspectives. We found that while both EEG and fMRI are affected by age, there is no association between these respective age effects. |
| 1915 | Hippocampal viscoelasticity is associated with risk of mild cognitive impairment | |
| Lucy V Hiscox1, Emma M Tinney1, Peyton L Delgorio1, Matthew DJ McGarry2, Alyssa Lanzi3, James M Ellison4, Matthew L Cohen3, Chris R Martens5, and Curtis L Johnson1 | ||
1Department of Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Dartmouth College, Hanover, NH, United States, 3Department of Communication Sciences & Disorders, University of Delaware, Newark, DE, United States, 4Swank Center for Memory Care and Geriatric Consultation, ChristianaCare, Wilmington, DE, United States, 5Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States |
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The health and integrity of the hippocampus is implicated in the development of mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Neuroimaging techniques evaluate the characteristics of hippocampal health in vivo, including its size, diffusion properties, and blood flow. In this study, we show that the mechanical properties of the hippocampus, obtained through magnetic resonance elastography (MRE), are associated with an increased risk of MCI, when other techniques are not. Establishing risk based on practically relevant quantitative changes in neuroimaging variables can help identify participants likely to develop cognitive impairment and assist in establishing the effectiveness of treatment interventions. |
| 1916 | Brain rejuvenation improves accuracy of automatic segmentation of the aged brain | |
| Roman Fleysher1, Mohammad Mansouri1, and Michael L Lipton1 | ||
1Radiology, Albert Einstein College of Medicine, Bronx, NY, United States |
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Despite best efforts, performance of automatic brain segmentation is inferior in older adults. We hypothesize that worsening of segmentation quality with age is related to brain atrophy and changes to image contrast. To disentangle the two possibilities, we simulated brain atrophy and confirmed worse segmentation performance. We then propose and demonstrate “brain rejuvenation” as a method to improve segmentation of the aged brain. |
| 1917 | Neurite dispersion and density across the adult lifespan investigated using a modified NODDI approach | |
| Maryam H. Alsameen1, Wenshu Qian1, Matthew Kiely1, Curtis Triebswetter1, Zhaoyuan Gong1, and Mustapha Bouhrara1 | ||
1National Institute on Aging, NIH, Baltimore, MD, United States |
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The NODDI approach has been shown to overestimate the CSF and neurite density (NDI) fractions in white matter. We propose a new modification to the NODDI algorithm to address these issues. Our approach requires minimal extension of the total acquisition time. While the neurite orientation dispersion (ODI) values were consistent between the two approaches, the modified NODDI approach provides lower, more physiologically plausible, NDI values as compared to those derived using the original NODDI approach. Further, NDI and ODI exhibit, overall, quadratic associations with age. These associations were more pronounced and significant from results derived using the modified NODDI approach.
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| 1918 | APOE genotype influences cerebral myelination in normative aging | |
| Curtis G. Triebswetter1, Nikkita Khattar1, Matthew Kiely1, Maryam H. Alsameen1, Zhaoyuan Gong1, Susan M. Resnick2, and Mustapha Bouhrara1 | ||
1Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States, 2Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States |
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Little is known about the role of APOE isoforms in cerebral myelination. Although several quantitative MRI studies have demonstrated the influence of APOE on cerebral tissue integrity, its specific implication in brain myelination remains to be established. In this work, we investigated associations between APOE isoforms ε2 or ε4 and myelination, probed using specific and nonspecific measures of myelin content, in multiple brain regions in a cohort of cognitively unimpaired participants spanning a wide age range. We show significant correlations between APOE isoforms ε2 or ε4 and myelin content in several brain structures. |
| 1919 | A neuroimaging study of the effects of early versus late anti-inflammatory treatment in the TgF344-AD rat model of Alzheimer’s disease | |
| Caitlin F Fowler1,2, Dan Madularu3, Gabriel A Devenyi4,5, John Breitner5,6, and Jamie Near1,4,5 | ||
1Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, 2Cerebral Imaging Centre, Douglas Hospital Research Centre, Verdun, QC, Canada, 3Center for Translational Neuroimaging, Northeastern University, Boston, MA, United States, 4Cerebral Imaging Centre, Douglas Hospital Research Institute, Verdun, QC, Canada, 5Psychiatry, McGill University, Montreal, QC, Canada, 6Division of Human Neurosciences, Douglas Hospital Research Centre, Verdun, QC, Canada |
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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with no effective treatments or known biomarkers for definitive diagnosis, substantiating the need for early detection and intervention. This project employs Magnetic Resonance Spectroscopy to quantify neurochemical changes in the TgF344-AD rat model of AD in response to early versus late administration of a common non-steroidal anti-inflammatory drug, specifically addressing the critical question of treatment timing. Preliminary results suggest the TgF344-AD rat recapitulates most neurochemical features of human AD and that early treatment is more effective than late treatment at mitigating disease-related neurochemical changes. |
| 1920 | T2*-weighted ex vivo whole-hemisphere 7 T MRI localizes novel focal iron-rich pathology in frontotemporal lobar degeneration | |
| M. Dylan Tisdall1, Daniel Ohm2, Rebecca Lobrovich2, Sandhitsu R Das1, Gabor Mizsei1, Karthik Prabhakaran2, Ranjit Ittyerah1, Sydney Lim1, Corey T McMillan2, James Gee1, John Q Trojanowski3, Edward B Lee3, David Wolk2, John A Detre1,2, Paul Yushkevich1, Murray Grossman2, and David Irwin2 | ||
1Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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We describe novel, focal iron-rich pathology in frontotemporal lobar degeneration (FTLD), detected via combined ex vivo 7 T whole-hemisphere MRI and MRI-guided histopathology. While previous work has shown iron-positive plaques in AD, and focal iron-positive pathology in the motor cortex of ALS patients, we find novel focal pathologic features across a diverse range of FTLD patients, including both FTLD-tau and FTLD-TDP. These focal features occurred in regions often missed with standardized diagnostic sampling, demonstrating the sensitivity of an MRI-guided approach to histopathology. Additionally, these focal iron deposits are candidates for future in vivo detection, providing new sources of imaging contrast. |
| 1921 | Construction of an unbiased high resolution and detail-preserving structural T1-weighted template for use in studies on older adults | |
| Abdur Raquib Ridwan1, Yingjuan Wu1, Mohammad Rakeen Niaz1, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1BIOMEDICAL ENGINEERING, ILLINOIS INSTITUTE OF TECHNOLOGY, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, RUSH UNIVERSITY MEDICAL CENTER, Chicago, IL, United States |
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Construction of an optimal T1-weighted (T1w) template for older adults often requires selection of a target anatomy for nonlinear-registrations, however a poorly chosen template may introduce bias due to large structural discrepancies between template and subjects used for template construction. Such a bias may introduce misregistration and cause loss of important anatomical details. In addition, large structural brain differences across older adults may introduce registration errors despite using state-of-the-art registration algorithms. The purpose of this work was to construct a minimum deformation T1w template of the older adult brain using a sparse, patch-based, detail-preserving template construction method that minimizes biases. |
| 1922 | Assessing White Matter Microstructural Changes Associated with Aging & Dementia using Mean Apparent Propagator (MAP) MRI | |
| Jason F. Moody1, Douglas C. Dean III1,2,3, Steven R. Kecskemeti 3, Sterling C. Johnson4,5, Barbara B. Bendlin4, and Andrew L. Alexander1,3,6 | ||
1Department of Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States, 3Waisman Center, University of Wisconsin Madison, Madison, WI, United States, 4Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin Madison, Madison, WI, United States, 5Geriatric Research Education and Clinical Center, Middleton Memorial VA Hospital, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States |
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We implement mean apparent propagator (MAP) MRI to investigate distinct white matter (WM) microstructural changes associated with aging and AD dementia. Age trajectories of MAP MRI parameters extracted from the cingulum, corpus callosum, and superior longitudinal fasciculus reveal evidence for structurally affected axons in aging populations. Return to origin probability (RTOP) and non-Gaussianity (NG) age trajectories are significantly flatter in AD dementia subjects compared to healthy controls, indicating that these measures could serve as markers for WM deterioration characteristic of dementia. Our findings provide an early quantitative framework for identifying specific WM microstructural deficiencies associated with aging and dementia. |
| 1923 | The DKI value in detecting microstructural white matter alterations in Alzheimer's disease and amnestic mild cognitive impairment: A TBSS study | |
| Tongtong Li1, Yu Zhang1, Xiuwei Fu2, Xianchang Zhang3, Yuan Luo4, and Hongyan Ni5 | ||
1First Central Clinical College, Tianjin Medical University, Tianjin, China, 2Tianjin Medical University General Hospital, Tianjin, China, 3MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 4Department of Radiology, China-Japan Friendship Hospital, Beijing, China, 5Department of Radiology, Tianjin First Central Hospital, Tianjin, China |
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Previous studies that used diffusion kurtosis imaging to study Alzheimer's disease (AD) mostly analyzed data based on regions of interest method, which may be biased by subjectivity. This study used Tract-based Spatial Statistics (TBSS) method to analyze the DKI data and found that kurtosis fractional anisotropy (KFA) values outperformed other DKI-derived parameters in sensitive detection of microstructural white matter damage for early diagnosis of amnestic mild cognitive impairment (aMCI) and AD. |
| 1924 | Multimodal MR imaging reveals distinct sensitivity of hippocampal subfields to normal aging and asymptomatic Alzheimer's disease pathology | |
| Junjie Wu1, Syed S. Shahid2,3, Qixiang Lin2, Antoine Hone-Blanchet2, Jeremy L. Smith1, Benjamin B. Risk4, Aditya S. Bisht2, David W. Loring2, Felicia C. Goldstein2, Allan I. Levey2, Bruce A. Crosson2,5, James J. Lah2, and Deqiang Qiu1,6 | ||
1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 2Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 4Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, United States, 5Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center, Decatur, GA, United States, 6Joint Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States |
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Using structural, resting-state functional and diffusion MRI, we report that normal aging affects functional connectivity and tissue microstructure in all hippocampal subfields, while the subiculum and CA1-3 exhibit the greatest sensitivity to asymptomatic Alzheimer’s disease pathology with CA1-3 hyperconnectivity. The imaging measures correlate with neuropsychological performance and CSF tau. |
| 1925 | Analysis of brain structural connectivity networks and white matter integrity in patients with mild cognitive impairment | |
| Maurizio Bergamino1, Ryan R Walsh2, and Ashley M Stokes1 | ||
1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 2Muhammad Ali Parkinson Center at Barrow Neurological Institute, Phoenix, AZ, United States |
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The objective of this study was to analyze the differences in structural connectivity and white matter (WM) microstructural integrity between healthy subjects and a cohort of individuals with mild cognitive impairment (MCI). For this purpose, we used a novel approach incorporating multi-shell diffusion MRI data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. |
| 1926 | Correlation of gray matter thickness, gray matter volume, white matter lesion and clinical scoring in normal healthy elderly in Thailand | |
| Tharathorn Kaeowirun1, Chanon Ngamsombat1, Doonyaporn Wongsawaeng 1, Siriwan Piyapittayanan1, Yudthaphon Vichianin2, Weerasak Muangpaisan3, Panida Charnchaowanish1, and Orasa Chawalparit1 | ||
1Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand, 2Department of Radiological Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand, 3Department of Preventive and Social Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand |
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A simple screening tool such as MoCA has been used for demonstrating cognitive change even in normal aging process. Brain MRI has been used to demonstrate the etiology of cognitive problem in elderly. Structural changes by both visual assessment and automated methods can be obtained using MR study. We demonstrated the differences of structural parameters including cortical thickness, volume and white matter lesions(nonspecific white matter change) with a clinical MoCA test in normal aging population. |
| 1927 | Volumetric analysis of brain MRI to distinguish healthy controls from AD and MCI patients according to ATN classification | |
| Ilaria Ricchi1,2,3, Ricardo Corredor-Jerez1,2,3, Thierry Phénix4, Mélanie Leroy5, Reto Meuli2, Jonas Richiardi2, Bénédicte Maréchal1,2,3, and Jean-François Demonet4 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Dept. of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Leenaards Memory Centre CHUV Lausanne University, Lausanne, Switzerland, 5Lille Neuroscience & Cognition, Lille University, Inserm University Hospital CHU, Lille, France |
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The Amyloid, Tau, Neurodegeneration (ATN) classification model is defined by the concentration of biomarkers in the cerebrospinal fluid (CSF) and the positivity of imaging markers using MR or PET imaging. Despite the CSF biomarkers requiring an invasive procedure, they are good predictors for Alzheimer’s Disease. We investigate the contribution of automated brain MR morphometry analysis to discriminate between healthy subjects and dementia patients according to the ATN classification. Hippocampal and temporal gray matter volumes allow a substantial distinction between healthy participants with amyloid negativity and patients with an Alzheimer’s CSF profile in the T category. |
| 1928 | Increased Body Mass Index Associated with Reduced Connectivity in Functional Brain Networks in those At-Risk of Dementia | |
| Marilena M DeMayo1,2, Jinglei Lv1,2, Shantel Duffy3,4,5, Sharon Naismith3,4,5,6, and Fernando Calamante1,2,7 | ||
1School of Biomedical Engineering, The University of Sydney, Camperdown, Australia, 2Brain and Mind Centre, The University of Sydney, Camperdown, Australia, 3Cogsleep, Australian National Health and Medical Research Council Centre of Research Excellence, Camperdown, Australia, 4Charles Perkins Centre, The University of Sydney, Camperdown, Australia, 5Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, Australia, 6School of Psychology, Faculty of Science, The University of Sydney, Camperdown, Australia, 7Sydney Imaging, The University of Sydney, Camperdown, Australia |
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Greater body mass index (BMI) is increasingly recognised as a risk factor for the development of dementia. This study investigated the functional connectivity networks associated with BMI using Network-Based Statistics in a cohort at-risk of developing dementia. Greater BMI was associated with decreased connectivity within 3 networks. Two of these networks showed decreased thalamo-cortical coupling and the third showed reduced connectivity between two nodes in the frontal cortex. This study illustrates the influence of BMI on functional connectivity, and a potential mechanism through which higher BMI confers risk of conversion from an at-risk clinical state to a dementia diagnosis. |
| 1929 | Automatic tract segmentation in the older brain | |
| Susana Muñoz Maniega1, Jonathan D Clayden2, Maria Valdés Hernandez1, Mark E Bastin1, Ian J Deary3, and Joanna M Wardlaw1 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UCL GOS Institute of Child Health, University College London, London, United Kingdom, 3Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom |
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TractSeg automatically produces fast and accurate tract segmentations in young populations, but its robustness to changes in the brain due to aging has not been tested. We run TractSeg in data from an older cohort (age 82). We visually assessed the tract segmentations and compared diffusion parameters with a method previously tested in older brains (PNT). TractSeg produced reasonable tract segmentations. The agreement with PNT was poor but measurements were highly correlated. Visual assessments and estimated overlap between segmented bundles suggest potential over-segmentation and subsequent loss of specificity of tract diffusion parameters. Optimised training data could improve TractSeg’s results. |
| 1930 | Application of SVS-PRESS, MEGA-PRESS, and pCASL to Evaluate Treatment Effect of Kami Guibi-tang in Patients with Mild Cognitive Impairment | |
| Geon-Ho Jahng1, Seung-Yeon Cho2, Jung-Mi Park2, Soonchan Park1, Chang-Woo Ryu1, and Richard Edden3 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Stroke and Neurological Disorders Center, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 3Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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This study aims to evaluate the effectiveness of herb medicine in the treatment of mild cognitive impairment (MCI) using SVS PRESS MRS, MEGA-PRESS, and pCASL MRI. We randomly allocated a total of 30 MCI patients to an herb medicine or a placebo group and performed MRI scans before and after 24 weeks of treatment. We analyzed NAA/Cr, GABA/Cr, and cerebral blood flow (CBF) using repeated-measure analysis of variance (ANOVA). We found that the CBF measures were the most sensitive markers to evaluate the effect of the herb medicine on MCI. |
| 1931 | Impact of Dementia with Lewy Bodies on Brain Biomechanical Properties | |
| KowsalyaDevi Pavuluri1, John Huston III1, Richard L. Ehman1, Armando Manduca1,2, Clifford R. Jack Jr1, Rodolfo Savica3, Bradley F Boeve4, Kejal Kantarci1, David S Knopman3, Ronald C. Petersen3, and Matthew C. Murphy1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, MN, United States, 3Department of Neurology, Mayo Clinic, Rochester, MN, United States, 4Division of Pulmonary and Critical Care Medicine, Mayo Center for Sleep Medicine, Mayo Clinic, Rochester, MN, United States |
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Dementia with Lewy Bodies (DLB) is the second most common neurodegenerative dementia in older people after Alzheimer’s, accounting for 10-15% of all dementia cases. In this study we used Magnetic Resonance Elastography (MRE) to assess the feasibility of using the changes in brain mechanical properties as potential biomarkers. |
| 1932 | Investigation of brain regional relaxation characteristics in healthy subjects during normal aging using synthetic MRI | |
| Di Wang1, Lu Yu2, Pu-Yeh Wu3, Chunmei Li2, and Min Chen2 | ||
1Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China, Bejing, China, 2Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China, Beijing, China, 3GE Healthcare, Beijing, China, Beijing, China |
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Synthetic MRI is a novel method that simultaneously provides quantitative relaxation mapping and synthetic contrast-weighted images. In this study, we adopted this technique to investigate the age-related relaxation characteristics alterations in healthy subjects by brain region-based regression analysis. Specifically, we found significant differences of relaxation characteristics between left and right hemispheres in the frontal and occipital white matter, and the genu and splenium of corpus callosum. T1, T2 and PD showed a quadratic trend with age. Overall, our findings suggested that the relaxation characteristics provided by the synthetic MRI can be considered an effective tool for detecting brain aging. |
| 1933 | Altered resting-state network connectivity in patients with presbycusis | |
| fei gao1, fuxin ren1, weibo chen2, and muwei li3 | ||
1Shandong Medical Imaging Research Institute, Shandong University, jinan, China, 2Philips Healthcare, shanghai, China, 3Vanderbilt University Institute of Imaging Science, Nashville, TN, United States |
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Presbycusis (PC) is a gradually progressive bilateral symmetrical sensory-neural hearing loss, characterized by hearing loss at high frequencies. As the most common sensory deficit in older adults, hearing deprivation was proved to be the independent influencing factor of dementia. However, the exact pathophysiological mechanism of PC and its relationship with cognitive impairment is largely unknown. In this study, therefore, we applied an ICA-based resting-state networks (RSNs) analysis to examine changes in functional connectivity of intra- and inter-network in patients with PC. Then, we explore the relationship between these abnormal functional connectivity and cognitive impairments in PC patients. |
| 1934 | Thalamic nuclei changes in prodromal and clinical Alzheimer’s disease | |
| Adam S Bernstein1, Steve Z Rapcsak2, Michael Hornberger3, and Manojkumar Saranathan4 | ||
1College of Medicine, University of Arizona, Tucson, AZ, United States, 2Department of Neurology, University of Arizona, Tucson, AZ, United States, 3Department of Medicine, University of East Anglia, Norwich, United Kingdom, 4Department of Medical Imaging, University of Arizona, Tucson, AZ, United States |
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Using a novel multi-atlas segmentation technique, we studied the atrophy of thalamic nuclei as a function of disease progression in Alzheimer’s disease. We found statistically significant atrophy of the anteroventral, centromedian, and mediodorsal nuclei, which are part of the limbic system and known to play a known role in memory and cognitive function. We also found atrophy of the medial geniculate nucleus and the pulvinar nucleus. The degree of atrophy increases from early MCI to full AD. These findings suggest that a larger network of brain structures are affected in Alzheimer’s disease, which together lead to the clinical presentation. |
| 1935 | The changes of hippocampus in Type 2 Diabetes Mellitus Patients with Mild Cognitive Impairment: A Multiple Advanced Diffusion Models study | |
| Mengzhu Wang1, Yunzhu Wu1, and Wenjiao Lyu2 | ||
1MR Scientific Marketing, Siemens Healthcare, Guangzhou, China, 2Department of Radiology, the First Affiliated Hospital of Guangzhou University, Guangzhou, China |
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The aim of this study was to elucidate a multiple diffusion-model-based radiomics model in detecting the changes of hippocampus in Type 2 Diabetes Mellitus Patients with Mild Cognitive Impairment. We used diffusion features derived from DTI, DKI, NODDI and MAP-MRI models and chose LR as the classifier to construct a prediction model. The results showed that the most accurate prediction was achieved by incorporating the NODDI_ICVF and MAP_NG into a nomogram, with AUC and accuracy reached 0.80 and 0.78. |
| 1936 | Cardiovascular fitness does not influence relationships between cortical thickness and obesity in aging | |
| Brittany Intzandt1,2,3, Safa Sanami4, Julia Huck4, Richard D Hoge5, Louis Bherer2,3,6,7, and Claudine J Gauthier3,4,6 | ||
1INDI Department, Concordia University, Montreal, QC, Canada, 2Centre de Recherche de l'Institut Universitaire de Geriatrie, Montreal, QC, Canada, 3Centre de Recherche, l'Institut de Cardiologie de Montréal, Montreal, QC, Canada, 4Physics Department, Concordia University, Montreal, QC, Canada, 5Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 6PERFORM Centre, Concordia Univeristy, Montreal, QC, Canada, 7Départment de Médicine, Université de Montréal, Montreal, QC, Canada |
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Cortical thinning occurs during aging and has been reported to worsen with increased adiposity, although this relationship seems dependent on sex. Increased cortical thickness is related to greater cardiovascular fitness in aging, but previous work has not explored if fitness moderates these conflicting relationships between overweight and cortical thinning. Here, we investigated if fitness moderates relationships between overweight status and cortical thickness in older women and men. Results revealed overweight women had greater cortical thickness than overweight men, but fitness did not moderate this. Future work should investigate sex hormones to further understand these sex differences in overweight individuals. |
| 1937 | Does basal forebrain volume reduction in MRI indicate cholinergic degeneration? A validation study in mouse model of Alzheimer’s Disease | |
| Xiaoqing Alice Zhou1, Grace Ngiam1, Lei Qian2, Tammy Sankorrakul3, Elizabeth J Coulson2, and Kai-Hsiang Chuang4 | ||
1QBI/SBMS, The University of Queensland, Brisbane, Australia, 2SBMS/QBI, The University of Queensland, Brisbane, Australia, 3SBMS, The University of Queensland, Brisbane, Australia, 4QBI/CAI, The University of Queensland, Brisbane, Australia |
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3xTg mouse model of AD have smaller basal forebrain volume measured by MRI MRI-detected volume changes do not correlate with cholinergic neurons |
| 1938 | DGE-MRI detects the therapeutic effect of IL-33 in Alzheimer’s mice by assessing cerebral glucose uptake and clearance at 3T | |
| Zilin Chen1, Jianpan Huang1, Yang Liu1, Joseph H.C. Lai1, and Kannie W.Y. Chan1,2,3 | ||
1Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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We have demonstrated that D-glucose kinetics detected by dynamic glucose-enhanced (DGE)-MRI can be used to assess D-glucose uptake and clearance alterations in Alzheimer’s disease (AD) mice at 3T. Interleukin (IL)-33 treatment has been shown to promote Aβ clearance. Here, we applied our established DGE-MRI to detect changes of brain clearance after IL-33 treatment in cerebrospinal fluid (CSF) and brain parenchyma in AD mice. A significant increased D-glucose clearance from CSF, but not brain parenchyma, was observed after treatment. DGE-MRI provides a non-invasive evaluation of IL-33 treatment in AD, and further affirm its potential to assess brain lymphatic system in AD. |
| 1939 | 1-Norm for quantifying the degree of brain tissue mechanical inhomogeneity due to neurodegenerative disease | |
| Harish Palnitkar1, Shreyan Majumdar2, Rolf Reiter3, Shujun Lin2, Joseph Crutison2, Thomas Royston2, and Dieter Klatt2 | ||
1Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, United States, 2Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Charite Universitatsmedizin, Berlin, Germany |
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In prior investigations, we have established 1-Norm as a quantitative measure of degree of inhomogeneity of excised biological tissues. Here, we apply 1-Norm to study effect of Alzheimer’s disease on mechanical inhomogeneity of brain. MRE was performed on excised brains of 3 control mice & 3 mice with AD(5xFAD). 1-Norm revealed increase in mechanical inhomogeneity of brain tissue due to AD. We speculate this increase in mechanical inhomogeneity of brains with AD may be due to amyloid plaque deposition, synaptic degeneration, neuronal loss & loss of white matter tracts. We aim to establish 1-Norm as a biomarker to detect AD in humans. |
| 1940 | Longitudinal Characterization of Volumetric Changes During Healthy Aging and Between Sexes in the Fischer 344 Rat Brain | |
| Dana Goerzen1,2, Caitlin Fowler1,2, Dan Madularu3, Gabriel A Devenyi2, M. Mallar Chakravarty1,2, and Jamie Near1,2 | ||
1McGill University, Montreal, QC, Canada, 2Centre d'Imagerie Cérébrale, Douglas Mental Health University Institute, Montreal, QC, Canada, 3Center for Translational Neuroimaging, Northeastern University, Boston, MA, United States |
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In order to design effective interventions for age-related diseases, it is necessary to first understand the biological processes associated with healthy aging. In this way, physiological changes during aging can be distinguished from those arising due to pathology. To this end, we present a comprehensive analysis of MRI-derived volumetric brain changes during healthy aging in a mixed-sex cohort of 27 Fischer 344 wildtype rats. These findings contribute to our understanding of the baseline neuroanatomical changes associated with healthy aging in both sexes, critical for the proper identification and management of age-related diseases, which frequently present in sexually dimorphic ways. |
| 1941 | Testing the cognitive reserve hypothesis in the non-Western populations: evidence from a multicentric neuroimaging study in India | |
| Brenton James Keller1, Jorge Jovicich2, Himanshu Joshi3, Leon Aksman4, John John3, A. B. Dey5, Arthur Toga4, Eileen Crimmins6, and Jinkook Lee1 | ||
1CSCR, University of Southern California, Los Angeles, CA, United States, 2Center for Mind/Brain Sciences (CIMEC),, University of Trento, Trento, Italy, 3Multimodal Brain Image Analysis Laboratory, National Institute of Mental Health and Neurosciences, Bangalore, India, 4Laboratory of Neuro Imaging, University of Southern California, Los Angeles, CA, United States, 5All India Institute of Medical Sciences, New Delhi, India, 6Davis School of Gerontology, University of Southern California, Los Angeles, CA, United States |
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Education offers neuroprotective effects against the progression of dementia. Limited information exists about such effects in non-Western populations, where formal education can be critically reduced. Here we examined dementia and education effects on brain morphometry in elderly healthy and mild cognitive impaired Indians. Morphometry revealed atrophy in areas typically related to MCI, enlarged lateral ventricles and reduced hippocampal volume. Education increased cortical thickness atrophy in the parahippocampal and temporal cortices (MCI group). This supports the cognitive reserve hypothesis, in which inter-individual differences in task processing is believed to allow some individuals to better cope with the neuropathology associated with dementia. |
| 1942 | Early Stage Diagnosis of Alzheimer’s Disease Employing DTI-Derived Biomarkers | |
| Forough Sodaei1,2, Jafar Zamani1,3, Maryam noroozian4, and Hamidreza Saligheh Rad1,5 | ||
1Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran (Islamic Republic of), 4Memory and Behavioral Neurology Department, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 5Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran, Iran (Islamic Republic of) |
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Morphologic alterations of AD have been conventionally associated with the cerebral cortex; however, it is clear that other areas of the brain, especially the hippocampus are also involved. These structures, together with white matter structures including fornix constitute the limbic system, which is anatomic substrate of the memory system. Neurodegeneration in these areas lead to clinical manifestation of AD. In this study, we evaluated integrity of the limbic-associated areas in three groups using DTI. Findings yielded that the DTI-derived indices of the limbic-associated areas offer potential biomarkers for early and differential diagnosis of AD. |
| 1943 | Maturation and degeneration of the human cerebrum across the adult lifespan | |
| Matthew Kiely1, Nikkita Khattar1, Curtis Triebswetter1, Zhaoyuan Gong1, Maryam H. Alsameen1, Richard G. Spencer1, and Mustapha Bouhrara1 | ||
1Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States |
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Using myelin water fraction (MWF) and DTI, we investigated age- and sex-related differences in brain maturation and degeneration in a large cohort of unimpaired participants. We observed quadratic relationships between MWF or DTI indices and age, suggesting that brain maturation continues until middle age followed by a phase of rapid degeneration afterward. Sexual dimorphism in these processes was not significant in most cerebral regions studied. Finally, we observed weak-to-moderate correlations between DTI indices and MWF indicating that these indices could not serve as proxies of myelin content while highlighting the value of using multiple quantitative MRI metrics in clinical investigation. |
| 2142 | Assessment of White Matter Atrophy in Multiple Sclerosis Using Advanced Diffusion Weighted Imaging Models | |
| Loredana Storelli1, Elisabetta Pagani1, Paolo Preziosa1,2, Massimo Filippi1,2,3,4,5, and Maria A. Rocca1,2,5 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 4Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy, 5Vita-Salute San Raffaele University, Milan, Italy |
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When investigating white matter (WM), its complex microstructure should be considered. Neurite Orientation Dispersion and Density Imaging (NODDI) and the constrained spherical deconvolution (CSD) are diffusion weighted imaging models that account for this complexity, compared to the commonly used MRI techniques. In this study, we applied volumetric, diffusion tensor, NODDI and CSD models to 86 patients with multiple sclerosis and 55 healthy controls at baseline and after 1-year of follow-up. The comparison of these techniques both globally and voxel-based showed that the CSD model was able to identify WM atrophy offering greater anatomical specificity and biological interpretability. |
| 2143 | Association between interhemispheric functional connectivity (IFC) and brain structural volume in patients with AD, MCI and VD | |
| Eva YW Cheung1, Patrick KC Chiu2, YF Shea2, Joseph SK Kwan3, and Henry KF Mak1 | ||
1The University of Hong Kong, Hong Kong, Hong Kong, 2Queen Mary Hospital, Hong Kong, Hong Kong, 3Imperial College London, London, United Kingdom |
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The findings demonstrated the interhemispheric functional connectivity correlates with brain regional volume. |
| 2144 | Towards to quantitative mapping of grey matter deficits in children with treatment-naïve attention deficit/hyperactivity disorder | |
| Shu Su1, Yingqian Chen1, Yan Dai1, Long Qian2, Hongyu Zhang1, and Zhiyun Yang1 | ||
1First Affiliated Hospital, Sun Yat-sen University, Guang Dong, China, 2MR Research, GE Healthcare, Beijing, China |
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As the most common childhood-onset neurodevelopmental disorder, the pathogenesis of attention deficit hyperactivity disorder (ADHD) is still unclear. The goal of current study aims at investigating the quantitative profiles of brain grey matter in pediatric treatment-naïve ADHD using Synthetic MRI (SyMRI). |
| 2145 | Mapping brain structure and network alterations in male chronic smokers using generalized q-sampling MRI | |
| Jun-Cheng Weng1,2,3, Li-Bang Zheng1, Ming-Shih Lee4,5, and Ming-Chou Ho6,7 | ||
1Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Department of Medical Laboratory and Biotechnology, Chung Shan Medical University, Taichung, Taiwan, 5Clinical Laboratory, Chung Shan Medical University Hospital, Taichung, Taiwan, 6Department of Psychology, Chung Shan Medical University, Taichung, Taiwan, 7Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung, Taiwan |
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The World Health Organization suggests that cigarette smoking causes more than 7 million deaths every year. However, few studies have focused on the structural alternations of chronic smoking by using generalized q-sampling imaging (GQI). We aimed to use GQI to evaluate the impact of the neurological structure and network caused by chronic smoking. Our results provided further evidence indicating that chronic smoking may lead to brain structure and connectivity changes. |
| 2146 | Regional Gray Matter Volume Associated with Exercise Dependence: A Voxel-Based Morphometry Study | |
| Zhang Feifei1, Zhiyun Jia2, and Qiyong Gong2 | ||
1Sichuan University, Chengdu, China, 2Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China, ChengDu, China |
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The present study provides initial evidence indicating that a higher risk of EXD is linked with a smaller GMV in the right OFC, left sgCG, and left IPL in a sample of regular exercisers, which sheds light on the neuroanatomical basis of EXD. Furthermore, our study found that the right OFC mediates the relationship between stress and EXD, revealing a potential neuropsychological mechanism for how stress affects EXD. Our findings might facilitate the diagnosis of EXD and the target selection for the corresponding intervention (e.g., behavioral or brain intervention ) to help individuals reduce EXD and improve their quality of life. |
| 2147 | Essential tremor: Structural Characterization with 3-T MR Imaging | |
| Jing Yang1, Du Lei2, Xueling Suo3, Jiaxin Peng4, Rong Peng4, and Qiyong Gong3 | ||
1Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, sichuan, China, 2Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States, 3Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China, 4Department of Neurology, West China Hospital of Sichuan University, Chengdu, China |
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Present neuroradiological studies demonstrated significant alterations in surface-based morphology in patients with essential tremor (ET) relative to healthy controls (HC). The current study was achieved by exploring the abnormal brain morphological features of patients with ET by using three-dimensional T1-weighted imaging, as well as the relationship between demographic/clinical variables and affected structural cortical features. We found that ET patients showed significant structural changes both in the motor and non-motor brain regions and some abnormities were correlated with the clinical scales. Further, abnormalities attributed to ET can also be affected by various demographic and clinical variables. |
| 2148 | Volume-based brain morphometry and T1 mapping: comparison between MP2RAGE accelerated by parallel imaging and compressed sensing at 3 Tesla | |
| Blanche Bapst1,2, Aurélien Massire3, Tobias Kober4,5,6, Gian Franco Piredda4,5,6, Bénédicte Maréchal4,5,6, and Pierre Brugières1 | ||
1Department of Neuroradiology, Henri Mondor Universitary Hospital, AP-HP, Créteil, France, 2Faculty of Medicine, Université Paris Est Créteil, Créteil, France, 3Siemens Healthcare SAS, Saint-Denis, France, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 5Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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MP2RAGE is 3D T1-weighted MR sequence used for high GM/WM contrast imaging, enabling morphometry, brain segmentation and T1 mapping. Despite these advantages, it suffers from long acquisition times, hindering broad clinical adoption. In this work, brain data obtained from 29 patients with various pathologies using the GRAPPAx3-accelerated reference (8:22 min) and a new compressed-sensing version (4:00 min) of the MP2RAGE were compared with respect to brain volumetry and T1 mapping results. Very high agreement was observed between the two versions. These results pave the way for a broader use of CS-MP2RAGE, eventually enabling its clinical use. |
| 2149 | Comparison of cortical gray matter and subcortical gray matter using double diffusion encoding | |
| Shimpei Kato1,2, Kouhei Kamiya3, Koji Kamagata1, Hiroshi Kusahara4, Masahiro Abe4, Shohei Fujita1,2, Toshiaki Akashi1, Katsuhiro Sano1, Akihiko Wada1, Masaaki Hori3, Osamu Abe2, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan, 2Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 3Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan, 4Advanced MRI development PJ Team, Canon Medical Systems corp., Kanagawa, Japan |
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Cortical and subcortical gray matter (GM) are histologically different and have different DTI values. In this study, we measured the microscopic fractional anisotropy (μFA) of cortical and subcortical GM in healthy subjects using double-diffusion encoding. We confirmed that the μFA and fractional anisotropyof subcortical GM were higher than those of cortical GM. Additionally, the μFA in the globus pallidus was high than in the striatum. Myelin was higher in subcortical GM than in cortical GM, and it was higher in globus pallidus than in the striatum; therefore, higher μFA may reflect these histological features. |
| 2150 | Structural 3DT1 scans with compressed sensing are suitable for cross-sectional brain volume measures in multiple sclerosis | |
| Jonathan Stutters1, Marco Battiston1, Nevin John1, Thomas Williams1, Claudia Wheeler-Kingshott1,2,3, Frederik Barkhof1,4,5, Jeremy Chataway1, and Ferran Prados1,4,6 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom, 2Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 3Brain Connectivity Center Research Department, IRCCS Mondino Foundation, Pavia, Italy, 4Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London (UCL), London, United Kingdom, 5Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, Netherlands, 6e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain |
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Optimizations of a 3D T1 sequence to take advantage of recent improvements to the hardware and software of a Philips Achieva MRI scanner allowed an acquisition to be performed in one third of the original time. We compared a number of cross-sectional volume measures, often used in research studies or as outcome measures of clinical trials, computed from images obtained with this protocol and the more widely used non-accelerated one. We find that cross-sectional volume measures are highly correlated between the accelerated and non-accelerated protocols, warranting the adoption of the accelerated one in clinical studies and clinical trials. |
| 2151 | Exploration of highly accelerated multi-echo MPRAGE using compressed sensing for brain morphometry applications | |
| Lindsay C Hanford1,2,3, Emily M Iannazzi1,2, Tom Hilbert4,5,6, Tobias Kober4,5,6, Randy L Buckner1,2,3, and Ross W Mair1,3 | ||
1Center for Brain Science, Harvard University, Cambridge, MA, United States, 2Department of Psychology, Harvard University, Cambridge, MA, United States, 3Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 5Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Compressed sensing (cs) has the potential to shorten scan acquisition time. This time savings may help to reduce patient burden, MR artifacts due to motion, and cost for repeat acquisitions. A key open question is whether time-saving cs T1w structural images will yield quantitative morphometric estimates comparable to traditional longer sequences. To test this, images were acquired for numerous cs T1w image variations across two independent datasets. Structural estimates were compared within- and between-subjects to assess scan stability and the effect of acceleration. x6 cs acceleration (~86s scan) was sufficient to yield comparable morphometrics for most measures in typical applications. |
| 2152 | Are rapid structural scans viable for automated lesion assessment in MS patients ? | |
| Mathilde Carrière1, Bénédicte Maréchal2,3,4, Jérémy Deverdun1, Thomas Troalen5, Tobias Kober2,3,4, Ricardo Corredor-Jerez2,3,4, and Emmanuelle Le Bars1 | ||
1I2FH, Neuroradiology, CHU Montpellier, University of Montpellier, Montpellier, France, 2Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Département de radiologie, Hôpital Universitaire de Lausanne et Université de Lausanne (UNIL), Lausanne, Switzerland, 4LTS 5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Siemens SAS Healthcare, Saint-Denis, France |
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Current MR protocol guidelines for multiple sclerosis (MS) diagnosis and follow-up recommend the acquisition of 3D sequences as high isotropic resolution improves lesion conspicuity; however, this prolongs clinical scan protocols. We present a qualitative and quantitative comparison of lesion assessment using a standard 3D FLAIR and an optimized CAIPIRINHA version in conjunction with compressed sensing MPRAGE in 44 MS patients. We compared the automated lesion segmentation results between protocols, with and without additional manual corrections of the lesion masks. Volumes using the optimized protocol highly correlated with the results from the conventional protocol, while reducing the acquisition time by 47%. |
| 2153 | Atrophy Quantification in Multiple Sclerosis: Application to the Multicenter INNI Dataset | |
| Loredana Storelli1, Elisabetta Pagani1, Patrizia Pantano2,3, Nikolaos Petsas2, Gioacchino Tedeschi4, Antonio Gallo4, Nicola De Stefano5, Marco Battaglini5, Paola Zaratin6, Maria A. Rocca1,7,8, and Massimo Filippi1,7,8,9,10 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Department of Human Neurosciences, "La Sapienza" Rome University, Rome, Italy, 3Department of Radiology, IRCCS Neuromed, Pozzilli, Italy, 4Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 5Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy, 6Fondazione Italiana Sclerosi Multipla, Genoa, Italy, 7Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 8Vita-Salute San Raffaele University, Milan, Italy, 9Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 10Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Using the multicenter dataset available within the Italian Neuroimaging Network Initiative, we compared the performance of different atrophy tools on brain MRI from 457 multiple sclerosis (MS) patients and 271 healthy controls, since monitoring neurodegeneration is one of the most important goals of therapeutic strategies in MS. We found an acceptable agreement and comparable performances among the software for GM and whole brain atrophy quantification. The free licence, speed and facility of integration in the clinical routine are also important aspects to consider for the selection of the atrophy pipeline. These results should be confirmed on large-scale longitudinal data. |
| 2154 | Cross-species homogeneity of brain structural covariance between humans and non-human primates based on a primate brain parcellation | |
| Ge Zhang1, Zheng Wang2, and Meiyun Wang3 | ||
1Radiology, Henan Provincial People's Hospital, Zhengzhou, China, 2CAS, Shanghai, China, 3Henan Provincial People's Hospital, Zhengzhou, China |
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To understand the structural consistency across primate brains is very important to perform neuroimaging computation, especially when it comes to study human brains through monkey-based experiments. Here we investigate the brain alignment by comparing structural covariance network calculated with the Regional Map parcellation templates. The unimodal areas and part of frontal areas exhibit consistency in cortical thickness and structural covariance. But M1 regions and lateral part of PFC were not similar in brain morphology. The result provide reference in cross-species brain imaging calculation based on Regional Map. |
| 2155 | Reusable 3D printed enclosure with integrated cutting guides for the alignment of ex-vivo MRI with ex-vivo gross brain photographs | |
| Nadim Farhat1, Julia Kofler2,3, Jacob Berardinelli1, Mark Stauffer4, Tales Santini1, Neilesh Vinjamuri1, Andrea Sajewski 1, Salem Alkhateeb1, Tiago Martins1, Noah Schweitzer 1, Milos Ikonomovic3,5, Howard J. Aizenstein1,6, and Tamer S Ibrahim1,6,7 | ||
1Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Pathology, UPMC, Pittsburgh, PA, United States, 3Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, PA, United States, 4Pathology, University of Pittsburgh, Pittsburgh, PA, United States, 5Neurology, University of Pittsburgh, Pittsburgh, PA, United States, 6Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 7Radiology, University of Pittsburgh, Pittsburgh, PA, United States |
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In this project, we implemented a novel approach to align ex-vivo MRI brain images and gross neuropathology photographs with minimal image processing. The approach included the design and implementation of a reusable 3D printed enclosure with integrated cutting guides . Our results show a good alignment between ex-vivo high field MRI and gross brain image photographs. |
| 2156 | Differential cognitive impairment of lateral ventricle small infarct: Brain atrophy and blood oxygen activity under the cortical layer | |
| Xuchen Yu1,2, Jiawei Han 3, Hui Zhang1,2, Min He4, Weibo Chen5, Jing Ding4, and He Wang1,2,3 | ||
1Institute of science and technology for Brain-Inspired Intelligence, Shanghai, China, 2Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China, 4Department of Neurology, The Affiliated Zhongshan Hospital of Fudan University, Shanghai, China, 5Philips Healthcare, Shanghai, China |
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Most of the lacunar infarcts are small and asymptomatic, while the location and accumulation of multiple lacunar infarctions could cause significant physical and cognitive disabilities. In this study, we explore the association between cognitive impairment and brain atrophy in patients with lateral ventricle infarction and whether there were differences in neuro-radiological features. |
| 2157 | Changing Cortical Myeloarchitecture and Not Morphology Are Associated with Early Cognitive Development | |
| Sean Deoni1, Lexie Volpe2, Jennifer Beauchemin2, and Viren D'Sa3 | ||
1Bill & Melinda Gates Foundation, Seattle, WA, United States, 2Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, United States, 3Pediatrics, Rhode Island Hospital, Providence, RI, United States |
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Early brain development is punctuated by rapid changes in the white and gray matter, including myelination and advancing microstructure, architecture, volume, and geometry. Here we explored the relationships between, and influence of, these changing neuroanatomical properties and advancing cognitive skill in healthy and typically developing toddlers and young children. Unlike past results in older children and adults, we find few significant associations between cortical morphometry measures and cognition. Instead, we find strong associations between intra-cortical myelin content and measures of language and visual reception function. |
| 2158 | Mapping Infant Anatomical Brain Images Between Birth and Six Months Using Segmented Brain Images | |
| Longchuan Li1, Pui-Yee Wong1, Warren Jones1, Ami Klin1, and Sarah Shultz1 | ||
1Department of Pediatrics, Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, GA, United States |
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Image registration is a critical step for robust and accurate atlas-based analyses on brain volumetric changes. This is especially a challenge in brain growth studies in infants between birth and 6 months of life, when both T1w and T2w magnetic resonance images experience time-varying contrast changes. In this study, we compared image registration outcomes via T1w and tissue segmented images derived using a deep learning method. Our results demonstrated superior registration accuracy based on segmentation images, probably due to clear boundaries between tissues types, as well as their time-constant contrasts over development. |
| 2159 | The value of contrast enhanced T2 FLAIR in the differential diagnosis of intracranial ring-enhanced lesions | |
| Meng-Yao Su1, Zhi-Peng Zhou1, Mei Long1, Wen Su1, Xiao-Wei Lu1, and Long Qian2 | ||
1Affiliated Hospital of Guilin Medical University, Guilin, China, 2MR Research, GE Healthcar, Beijing, China |
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The goal of current study is to validate whether the contrast enhanced T2 FLAIR (CE-T2-FLAIR) could provide additional value for clinical diagnosis beyond the regular sequence. A retrospective analysis of 52 cases of intracranial ring-enhanced lesions validated by menstrual surgery, pathology or clinical follow-up observation from January 2019 to June 2020 was performed in current study. Our results demonstrated that the CE-T2-FLAIR "edge enhancement sign" was more closely related to inflammatory lesions, and indicated a high possibility of that disease. |
| 2160 | Sensitivity of structural brain MRI in clinical cross-sectional studies | |
| Leighton Barnden1, Sonya Marshall-Gradisnik1, Donald Staines1, Ben Crouch2, and Zack Shan3 | ||
1Griffith University, Southport, QLD, Australia, 2Nuclear Medicine, Royal Adelaide Hospital, Adelaide, SA, Australia, 3University of Sunshine Coast, Sunshine Coast, QLD, Australia |
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The sensitivity of different structural MRI sequences for the detection of clinical abnormalities in cross-sectional studies was evaluated using actual population studies. We studied 3 patient cohorts on two MRI scanners (1.5T and 3T), using T1wSE, T2wSE, T1GRE, T2SPACE and MTC sequences for clinical group comparisons. Novel insights into their clinical potential of different structural MRI scans indicated T1wSE and T2wSE offer advanced sensitivity and should be standard in clinical cross-sectional studies. . Although our sensitivity metric was computed for separate voxels, we expect inter-subject variance will have a similar effect on the sensitivity for cluster detection. |
| 2161 | Ultra-high resolution quantitative multi-parameter mapping (MPM) for post-mortem whole brain microstructure imaging | |
| Evgeniya Kirilina1,2, Ilona Lipp1, Kerrin Pine1, Luke Edwards1, Carsten Jäger1,3, Kirsten Garus4, Markus Cremer4, Katrin Amunts4,5, and Nikolaus Weiskopf1,6 | ||
1Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 3Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany, 4INM-1, Structural and Functional Organisation of the Brain, Forschungszentrum Juelich GmbH, Juelich, Germany, 5Cecile und Oskar Vogt Institute for Brain Research, Heinrich Heine University Duesseldorf, Duesseldorf, Germany, 6Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany |
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Reference neuroanatomical brain data are required to validate qMRI microstructural metrics and link them to histological measures. The BigBrain dataset provides unique cytoarchitectonic 3D atlas based on several post-mortem human brains. We aim to complement the BigBrain atlas by ultrahigh-resolution quantitative multi-parameter maps. Here, we present ultra-high resolution quantitative multi-parameter maps (MPM) acquired at 3T and 7T on a post-mortem brain. We demonstrate high data quality and feasibility of cortical layer and subcortical nuclei analysis. The brain will be processed following the BigBrain cytoarchitectonic atlasing procedure and will reveal specific qMRI fingerprints of cortical areas with distinct cytoarchitecture. |
| 2358
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Brain Parenchymal Venous System Plays a Substantial Role in Cerebral Waste Clearance | |
| Yongsheng Chen1, Jiani Hu2, Yimin Shen2, Lara M Fahmy3,4, Li Zhang3, E. Mark Haacke1,2, and Quan Jiang1,3 | ||
1Department of Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 2Department of Radiology, Wayne State University School of Medicine, Detroit, MI, United States, 3Department of Neurology, Henry Ford Health System, Detroit, MI, United States, 4Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States |
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The current understanding of cerebral waste clearance (CWC) involves CSF participation but lacks the direct participation of the parenchymal vascular system. We used SPIO-enhanced SWI on rats to simultaneously study parenchymal veins, arteries and their corresponding para-vascular spaces, and observed not only CSF participation, but also parenchymal venous participation in CWC following intra-cisterna magna infusion of CSF tracers. These results lead to the speculation of a new CWC mechanism with directional brain parenchyma-to-blood permeability. The substantial role of the parenchymal venous system in CWC raises intriguing questions on the differential contributions of parenchymal venous versus CSF pathways in neurodegenerative disease. |
| 2359 | An investigation of the change in water diffusivity along the perivascular space in hypertensive patients | |
| Junko Kikuta1, Koji Kamagata1, Kaito Takabayashi1, Toshiaki Taoka2, Hajime Yokota3, Yuki Someya4, Yoshifumi Tamura4,5, Hirotaka Watada4,5, Ryuzo Kawamori4,5, Shinji Naganawa6, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University School of Medicine, Bunkyo-ku, Japan, 2Department of Innovative Biomedical Visualization, Graduate School of Medicine, Nagoya University, Nagoya, Japan, 3Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 4Sportology Center, Juntendo University School of Medicine, Bunkyo-ku, Japan, 5Department of Metabolism & Endocrinology, Juntendo University School of Medicine, Bunkyo-ku, Japan, 6Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan |
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We used the analysis along the perivascular space (ALPS) index, which has been suggested as a noninvasive method to measure water diffusivity along the perivascular space in vivo. We assessed the change in water diffusivity in living patients with hypertension for the first time. |
| 2360 | Assessment of cerebral white matter hemodynamics across the adult lifespan | |
| Meher R. Juttukonda1,2, Randa Almaktoum1, Kimberly A. Stephens1, Kathryn Yochim1, Essa Yacoub3, Randy L. Buckner4, and David H. Salat1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 4Psychology, Harvard University, Cambridge, MA, United States |
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Arterial spin labeling (ASL) approaches for measuring perfusion are challenging in white matter due in part to longer blood arrival times. We implemented a cross-correlation-based processing approach on multi-delay ASL data acquired in Human Connectome Project-Aging (HCP-A) to quantify white matter arterial transit time (ATT) and used these ATT values to analytically compute white matter CBF. Using this approach, we found that white matter CBF decreases (ρ=0.39) and white matter ATT elongates (ρ=0.42) with increasing age (p<0.001). We also found that CBF and ATT values are spatially heterogeneous, with periventricular white matter exhibiting the lowest CBF and longest ATT. |
| 2361 | High resolution imaging of choroid plexus blood flow with multi-delay pseudo-continuous arterial spin labeling | |
| Xingfeng Shao1, Chenyang Zhao1, Matthew Borzage2, Catherine Mark3, Elizabeth Joe4, Jonathan Russin3,5, Charles Liu3,4,5, Darrin Lee3,5,6, and Danny JJ Wang1,4 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 4Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 5USC Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 6Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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In this study we developed an arterial spin labeling (ASL) sequence with high spatial/temporal resolution and utilized a post-processing denoising method to measure dynamic choroid plexus (CP) perfusion signal. Quantified CP blood flow was evaluated in heathy subjects and one normal pressure hydrocephalus (NPH) patient and compared with water exchange rate across the blood-brain barrier (BBB). Our preliminary results show that CP blood flow may be altered in NPH and has a potential relation with water exchange rate across the BBB. |
| 2362 | ADC change during cardiac cycle in idiopathic normal pressure hydrocephalus before and after tap test and shunt surgery | |
| Ryo Yagawa1, Naoki Ohno1, Tosiaki Miyati1, Mitsuhito Mase2, Tomoshi Osawa2, Harumasa Kasai2, Yuta Shibamoto2, and Satoshi Kobayashi1 | ||
1Division of Health Sciences, Kanazawa University, Kanazawa, Japan, 2Nagoya City University Hospital, Nagoya, Japan |
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To assess the dynamic changes in the apparent diffusion coefficient (ADC) during the cardiac cycle (ΔADC) of the brain before and after the lumbar tap and shunt surgery for the purpose of determining changes in hydrodynamic and biomechanical properties in the brain after cerebrospinal fluid (CSF) drainage for iNPH. The frontal white matter ΔADC in iNPH decreased after the lumbar tap and shunt surgery. ΔADC analysis may provide detailed information regarding changes in the hydrodynamic and biomechanical properties through CSF drainage. |
| 2363 | Long term evaluation of ventricular volume change associated with shunt-responsiveness in idiopathic normal pressure hydrocephalus | |
| Romtheera Kamronritthisorn1, Kritdipha Ningunha2, Peeratat Suppapanya1, Sunee Bovonsunthonchai3, Doonyaporn Wongsawaeng 1, Yudthaphon Vichianin4, Theerapol Witthiwej5, Weerasak Muangpaisan6, Panida Charnchaowanish1, Siriwan Piyapittayanan1, Orasa Chawalparit1, and Chanon Ngamsombat1 | ||
1Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand, 2Department of TELE-Radiology, Bangkok Hospital Headquarters, Bangkok, Thailand, 3Faculty of Physical Therapy, Mahidol University, Bangkok, Thailand, 4Department of Radiological Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand, 5Division of Neurosurgery, Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand, 6Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand |
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Shunt surgery is an effective treatment for iNPH, however some patients showed unsustainable response. We investigated how reduction of ventricular size after shunt surgery correlated with clinical outcome, as potential predictor of long-term shunt responsiveness using automated segmentation of ventricular volume from T1W sequence. A reduction of ventricular volume is found to negatively correlate with improved cognition. These findings might be one of helpful imaging predictors for the shunt responders in iNPH. |
| 2364 | Neuropathologic and Cognitive Correlates of Automatically Segmented Enlarged Perivascular Spaces in Community-based Older Adults | |
| Carles Javierre-Petit1, Ashish A. Tamhane2, Arnold M. Evia2, Marinos Kontzialis2, Nazanin Makkinejad1, Gady Agam1, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1,2 | ||
1Illinois Institute of Technology, Chicago, IL, United States, 2Rush University Medical Center, Chicago, IL, United States |
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Perivascular spaces form a network that enables clearance of waste products from the brain. Abnormal enlargement of perivascular spaces is common in older adults and has been linked to cognitive impairment and dementia. However, the neuropathologic and cognitive correlates of enlarged perivascular spaces (EPVS) are not well understood yet. In this work, we first developed an algorithm to automatically segment and quantify EPVS in brain MR images, and then investigated the neuropathologic correlates of total and regional EPVS, as well as the contributions of EPVS on cognitive decline in a large community-based cohort of 817 older adults. |
| 2365 | ALL CENTRAL NERVOUS SYSTEM (CNS) NEURO- AND VASCULAR-COMMUNICATION CHANNELS ARE SURROUNDED WITH CEREBROSPINAL FLUID (CSF) | |
| Lara M Fahmy1, Yongsheng Chen2, Stephanie Xuan3, E Mark Haacke3, Jiani M Hu3, and Quan Jiang4 | ||
1Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States, 2Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 3Radiology, Wayne State University School of Medicine, Detroit, MI, United States, 4Neurology, Henry Ford Health System, Detroit, MI, United States |
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It's well-established that the CNS is completely submerged in CSF; but to what extent is this true regarding the finer spaces within the CNS itself? We used MRI to simultaneously map the presence of CSF within all peri-neural and peri-vascular spaces in vivo in humans. Our findings indicated that all peri-neural spaces surrounding cranial and spinal nerves, as well as all peri-vascular spaces, were filled with CSF. These findings suggest that anatomically, substance exchange between the brain parenchyma and outside tissues (i.e. lymphatics) can only occur through CSF, warranting further investigation into its cerebral waste clearance and immunomodulation implications. |
| 2366 | Association of Enlarged Perivascular Spaces and Sleep Disturbances in Military-related Mild Traumatic Brain Injury | |
| Ping-Hong Yeh1, J. Kent Werner2,3, Rujirutana Srikanchana1, Kimbra Kenney1,2, Treven Pickett1,2, Grant Bonavia1,2, Gerard Riedy1,2, and John Ollinger1 | ||
1National Intrepid Center of Excellence, Bethesda, MD, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States |
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Sleep disturbances are common following traumatic brain injury (TBI). We sought to quantify changes in perivascular space (PVS) in combat-related mild TBI (mTBI) patients and explore the association between normalized PVS volume and sleep measures. We found mTBI patients with previous potential concussive event (PCE) (TBIPCE) had larger PVS fraction than controls. A subjective sleep measure, The Pittsburgh Sleep Quality Index (PSQI), was positively associated with PVS in TBIPCE patients, which had mean higher PSQI than those of TBI patients who had only mTBI but no PCE. This result suggests enlarged PVS may be modulated by sleep and TBI. |
| 2367 | Cerebrospinal fluid water fraction increases with age in normal aging | |
| Thanh D Nguyen1, Liangdong Zhou1, Elizabeth Sweeney1, Xiuyuan Wang1, Susan A Gauthier1, Yi Wang1, Amy Kuceyeski1, and Yi Li1 | ||
1Weill Cornell Medicine, New York, NY, United States |
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Perivascular spaces (PVS) play a key role in the glial-lymphatic waste clearance pathway in the brain. We applied FAST-T2 multi-component T2 relaxometry to 20 healthy volunteers between 30 and 60 years old and found a significant relationship between CSF water fraction and age in the frontal and temporal cortex, while the brain tissue water content measured by T1 relaxation time remains stable over time. Our results suggest that CSF fraction may be a useful quantitative biomarker of PVS dilation in normal aging. |
| 2368 | Diffusion and perfusion characteristics of brain white matter prone to hyperintensities: a four-year longitudinal study | |
| Shruti Agarwal1, Jay J. Pillai1,2, and Hanzhang Lu3,4 | ||
1Division of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Division of MR Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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White matter hyperintensities (WMH) are white matter brain lesions found as areas of increased signals on T2-weighted and FLAIR MRI scans. A large majority of elderly individuals have a certain degree of WMH which may be associated with cognitive decline, decline in physical function and a higher risk of stroke and death. To date, neurobiological mechanisms underlying and predictive of WMH is not fully characterized. In this study, we aim to use a longitudinal design to elucidate hallmarks of brain tissue at baseline that will predict a “conversion” from normal-appearing WM (NAWM) to WMH over a four-year period. |
| 2369 | Callosal Angle Biomarker for Normal Pressure Hydrocephalus Calculated for 4,980 T1-Weighted MR Exams | |
| Alexander Saunders1,2, Stefan Bluml1,2, Kevin S King3, and Matthew Borzage2,4 | ||
1Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Rudi Schulte Research Insitute, Santa Barbara, CA, United States, 3Barrow Neurological Institute, Phenoix, AZ, United States, 4Children's Hospital Los Angeles, Los Angeles, CA, United States |
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Normal pressure hydrocephalus is a treatable dementia often misdiagnosed as Alzheimer’s Disease. Callosal angle measurement distinguish normal pressure hydrocephalus from other dementias but measurements are time-consuming and subjective. Therefore, we developed an algorithm for automatic callosal angle measurement and calculated callosal angles for 4,980 T1-weighted MRIs from databases of patients with purportedly healthy aging brains or Alzheimer’s. Based on the published guidelines, 1.8-4.3% of exams in these databases indicate patients likely have normal pressure hydrocephalus and thus a treatable form of dementia. Our automatic measurement of the callosal angle biomarker can rapidly and objectively screen patients for normal pressure hydrocephalus. |
| 2370 | Perfusion and free water show opposite trends across tissue layers surrounding white matter hyperintensities in elderly participants | |
| Corinne A. Donnay1, Pauline Maillard1, Charles DeCarli1, and Audrey P. Fan1,2 | ||
1Neurology, University of California Davis, Davis, CA, United States, 2Biomedical Engineering, University of California Davis, Davis, CA, United States |
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We investigated white matter (WM), cerebral blood flow (CBF) and free water content (FW) in the penumbra region surrounding white matter hyperintensities (WMH) in elderly participants. The tissue surrounding WMH clusters were defined as four 1mm concentric layers and compared to WM and WMHs. The findings of this study reveal that WMHs and adjacent layers have lower CBF than healthy WM and CBF increases from lower layers to higher layers. The opposite associations were found with FW. |
| 2371 | Reduced cerebrovascular reactivity and cerebral blood flow in White Matter Hyperintensities (WMHs) | |
| Chenyang Li1,2, Marco Muccio1, Dengrong Jiang3, Peiying Liu3, Jiangyang Zhang1, Arjun Masurkar4, Thomas Wisniewski4, Hanzhang Lu3, and Yulin Ge1 | ||
1Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, United States, 3Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 4Department of Neurology, NYU Grossman School of Medicine, New York City, NY, United States |
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Understanding of in vivo vascular pathophysiology in white matter hyperintensities (WMHs) is still incomplete. Compared to grey matter, white matter is considerably less vascularized and tends to have lower blood flow. Therefore, sensitive detection and accurate estimation for white matter hemodynamics is crucial for early prevention and mechanistic understanding of WMHs pathogenesis and progression. In this study, we implemented advanced neurovascular MRI techniques to evaluate the white matter hemodynamics including cerebral blood flow and cerebrovascular reactivity in patients with varying degrees of WMHs. |
| 2372 | Decoupling between global brain activity and cerebrospinal fluid flow is associated with Alzheimer's disease pathologies | |
| Feng Han1, Jing Chen1, Aaron Belkin-Rosen1, Yameng Gu1, Liying Luo2,3, Orfeu M Buxton4, and Xiao Liu1,5 | ||
1Department of Biomedical Engineering, The Pennsylvania State University, State College, PA, United States, 2Department of Sociology & Criminology, The Pennsylvania State University, State College, PA, United States, 3Population Research Institute, The Pennsylvania State University, State College, PA, United States, 4Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, United States, 5Institute for Computational and Data Sciences, The Pennsylvania State University, State College, PA, United States |
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Glymphatic system responsible for brain waste clearance may play an important role in the development of Alzheimer's disease (AD). However, this possibility has not been sufficiently studied in AD patients due to a lack of non-invasive tools for gauging glymphatic function. Low-frequency (<0.1 Hz) fMRI signals have been recently linked to glymphatic function, and its global signal was found to be coupled with CSF flow known to be essential for glymphatic clearance. Here, we used the coupling of global BOLD signal and CSF to quantify glymphatic function and found this BOLD-CSF coupling metric is significantly correlated with various AD pathologies. |
| 2373 | Cerebrovascular Reactivity and Cerebral Blood Flow across lifespan in females | |
| Safa Sanami1, Brittany Intzandt2,3,4, Fatemeh Razavipour1, Julia Huck1, Richard D Hoge5, Louis Bherer3,4,6,7, and Claudine J Gauthier1,4,6 | ||
1Physics, Concordia University, Montreal, QC, Canada, 2INDI, Concordia University, Montreal, QC, Canada, 3Centre de Recherche de l'Institut Universitaire de Geriatrie, Montreal, QC, Canada, 4Centre de Recherche, l'Institut de Cardiologie de Montréal, Montreal, QC, Canada, 5Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 6PERFORM Centre, Concordia University, Montreal, QC, Canada, 7Départment de Médicine, Université de Montréal, Montreal, QC, Canada |
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Aging is associated with cerebrovascular impairments in males and females, yet this impairment develops nearly one decade later in females. Although cerebral blood flow (CBF) is consistently reported as higher in females, results on cerebrovascular reactivity (CVR) have not been uniform in studies comparing females to males. Here, given that much less is known about cerebrovascular changes in females than males, we examined CBF and CVR during aging in healthy females only. Our results revealed that both CBF and CVR decline across the lifespan in females. Future work should include hormone levels, arterial stiffness, other vascular risk factors, and males. |
| 2374 | Changes of Choroid Plexus Volume in Alzheimer’s Patients | |
| Li Zhao1, Xue Feng2, Yueqin Hu3, Dan Wu1, Craig H. Meyer2, and David C. Alsop4 | ||
1College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 3Psychology, Beijing Normal University, Beijing, China, 4Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States |
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Choroid plexus volume was investigated using a deep learning segmentation method, which has demonstrated higher accuracy than the previous atlas-based method. Therefore, a higher sensitivity was expected with the new method. MR images of 733 subjects were selected retrospectively, including healthy volunteers, MCI and AD patients. The results show that 1) the choroid plexus volume increases with age; 2) is smaller in the female subjects; and 3) is larger in the MCI and AD patients compared to the healthy volunteers. Our preliminary results suggest that the choroid plexus volume changes with brain aging. |
| 2375 | Effect of white matter hyperintensities on tractometry and its relationship with white matter connectivity | |
| Tae Kim1, Howard J Aizenstein1, and James T Becker1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States |
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The effect of white matter hyperintensities (WMHs) on 50 major WM tractometries was investigated. Elevated WMHs load on white matter tract was associated with lower apparent fiber density (AFD) on tractometery, showing the co-localization of WMH with AFD change. Reduced AFD is associated with lower connectivity of the WM tract. Differences in these metrics between lower WMH and higher WMH groups, and between lower WMH and MCI groups are significant. Moreover, AFD is lower in individuals with MCI, supporting a role of white matter microstructure in cognitive decline. |
| 2376 | Cerebro spinal fluid dynamic in front of cardiac and breathing influence | |
| Olivier Baledent1, Pan Liu1, Serge Metanbou1, Cyrille Capel1, Sidy Fall1, and Roger Bouzerar1 | ||
1university hospital Jules Verne, Amiens, France |
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it is still debated how breathing interact with the CSF. New Phase contrast MRI sequence based on Echo Planar imaging (EPI-PC) can now produce continuously during minutes a velocity map, more or less every 100 ms. We did not found in the literature quantitative evaluation of the CSF stroke volume change during breathing. The aim of this work is to quantify CSF dynamics change in the aqueduct and in the spinal canal during the breathing and cardiac period using EPI-PC. |
| 2377 | UPSS - Unsupervised perivascular spaces segmentation method with salient guidance of frangi filter | |
| Haoyu Lan1 and Farshid Sepehrband1 | ||
1USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States |
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Automatic perivascular spaces (PVS) segmentation from magnetic resonance images enables whole brain morphometric assessment of glia-lymphatic network. While conventional deep learning segmentations are shown to produce reliable results, they heavily rely on the presence of ground truth for training. In this work we introduce an unsupervised learning method for PVS segmentation, by combining a rule-based image processing approach with a deep learning algorithm. The experiment results showed that the proposed method increased segmentation accuracy by effectively increasing the true positive rate compared to the rule-based method and decreasing false positive rate compared to the deep learning method. |
| 2378 | Water content for anatomical imaging with layer resolution at 7T | |
| Ana-Maria Oros-Peusquens1, Jonas Kielmann1, and N. Jon Shah1,2,3,4 | ||
1INM-4, Research Centre Juelich, Juelich, Germany, 2Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany, 3INM-11, JARA, Research Centre Juelich, Juelich, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany |
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An increasing number of structural studies attempt identification of distinct structural regions based on their layer signature. Interestingly, water content quantitative contrast is little used in these attempts, despite being a fundamental contrast in MRI, based on the proton equilibrium magnetisation, and closely reflecting cell density on which modern cytoarchitectonic studies are based. In this contribution, we demonstrate the usefulness of water content contrast at 7T and propose it for layer-related studies and high-resolution brain anatomy. |
| 2379 | Vascular origins of low-frequency oscillations in cerebrospinal fluid resting-state fMRI signal: Interpretation using photoplethysmography | |
| Ahmadreza Attarpour1, James Ward2, and J. Jean Chen1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute, Baycrest, Toronto, ON, Canada |
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Due to its cardiogenic constituents, the cerebrospinal fluid (CSF) contribution to resting-state functional MRI (rs-fMRI) has been used for denoising. Recently, it has become increasingly used for characterizing CSF flow and glymphatic flow. However, the association between CSF and vascular oscillations in rs-fMRI remains to be fully understood. In this study, we quantify the relationship between rs-fMRI fluctuation in different CSF compartments and photoplethysmography (PPG) recordings, focusing on the frequency band around 0.1 Hz. We also quantify their relationship between the rs-fMRI signals (in CSF, tissue and vasculature) and other vascular measures derived from PPG traces. |
| 2380 | Improving Automatic Cerebral Microbleed Detection Using Algorithmic Methods in Multi-Echo STAGE Data | |
| Miller Fawaz1, Sara Gharabaghi1, Mojtaba Jokar1, Ying Wang1,2, Chao Chai3, and E. Mark Haacke1,2 | ||
1Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 2Wayne State University, Detroit, MI, United States, 3Tianjin First Central Hospital, Tianjin, China |
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Automatic cerebral microbleed detection is attainable with our two step model for many disease states. We attributed previously shown lower performance in STAGE data to veins and edges, including some in the basal ganglia. We improved our existing pipeline for this detection by adding a false positive correction step to our pipeline using previously tested and new data. The results were improved overall, including on previously tested STAGE data, new STAGE data and our previously tested single echo data (multiple diseases). This makes our pipeline a viable and versatile real time automatic microbleed detection procedure. |
| 2381 | Real Time 4D flow MRI assessment of Low Frequency Oscillations in Large Intracranial Vessels at Rest and During Hypercapnia | |
| Kathleen B Miller1, Leonardo A Rivera-Rivera1, Oliver Wieben1, Kevin M Johnson1, Sterling C Johnson1, and Jill N Barnes1 | ||
1University of Wisconsin-Madison, Madison, WI, United States |
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Low frequency oscillations (LFOs) of cerebral vessels may be important indicators of aging and disease related changes to cerebral autoregulation and glymphatic clearance. Assessing LFOs during a vasodilatory stimulus, such as hypercapnia, may reveal age-associated changes not apparent at rest. This study utilized 3D radial sampling and local low-rank reconstruction of 4D flow MRI scans to achieve real time temporal resolution to assess LFOs. Preliminary results suggest that there were no hypercapnia or age-associated changes in LFOs in the large intracranial arteries; however, there were both age and hypercapnia effects on LFOs in the venous circulation. |
| 2382 | Breaking up Cerebrovascular Reactivity BOLD-fMRI to Investigate Dilation and Constriction Features | |
| Kayley Marchena-Romero1,2, Xiang Ji2, Andrew Centen2, Joel Ramirez2, Andrew Lim2, Sandra E Black2, and Bradley J MacIntosh1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada |
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Cerebrovascular reactivity (CVR) is assessed by dynamic MRI scanning, such as BOLD-fMRI during a hypercapnia gas challenge. Conventional CVR metrics do not account for individual vasoactive challenges in series. We study the relationship between vasoconstriction after the 1st hypercapnia challenge and CVR during the 2nd challenge, using a non-parametric method, Sen’s Slope, to estimate BOLD change. We show that vasoconstriction is directly proportional to the amplitude of CVR across a range of adult ages, as assessed by linear regression analysis. These results support our hypothesis that temporal features of a cerebrovascular challenge can provide additional insight on cerebrovascular physiology. |
| 2383 | Investigation of Cardiac- and Respiratory-driven CSF Motions using Asynchronous Phase Contrast with Frequency Analysis | |
| Satoshi Yatsushiro1, Tomohiko Horie2, Mitsunori Matsumae3, and Kagayaki Kuroda1 | ||
1Department of Human and Information Science, Tokai University, Hiratsuka, Japan, 2Department of Radiological Technology, Tokai University Hospital, Isehara, Japan, 3Department of Neurosurgery, Tokai University, Isehara, Japan |
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To investigate cardiac- and respiratory-driven CSF motions in the intracranial space, asynchronous phase contrast (Async-PC) imaging with Stockwell transform (ST) and power mapping was conducted for 3 healthy volunteers under free breathing. ST can separate the cardiac- and respiratory-driven CSF motions as spectrogram. Power mapping visualizes the power of the spectrum voxel-by-voxel. Async-PC with ST presented the time-frequency property of the cardiac- and respiratory-driven CSF motions, while that with the power mapping technique visualized the spatial distribution of both the motion contributions. Combination of those techniques may provide new findings related with CSF dynamics. |
| 2384 | Low b-value DTI for Measuring Pseudo-random Flow of CSF: Region of Interest Analysis on Normal Volunteers | |
| Yoshitaka Bito1,2, Hisaaki Ochi1,2, Kuniaki Harada2, and Kohsuke Kudo2 | ||
1Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan, 2Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Japan |
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Low b-value DTI (Low-b DTI) has been recently proposed for investigating the CSF physiology, and was reported to reflect the covariance of velocity distribution of the pseudo-random flow. The purpose of this study was to analyze diffusion properties of Low-b DTI (i.e. diffusion tensor, mean diffusivity, and fractional anisotropy) for normal volunteers. The diffusion properties show statistically high and anisotropic values at some ROIs such as around the foramen of Monro, the aqueduct, the prepontine cistern and the Sylvian fissure. It demonstrates that Low-b DTI can be used for evaluating the pseudo-random flow of CSF. |
| 2385 | Feasibility of water peak MRS without water suppression for the evaluation of cerebrospinal fluid | |
| Toshiaki Taoka1,2, Rintaro Ito1,2, Rei Nakamichi2, Takashi Abe2, Toshiki Nakane2, Hisashi Kawai2, Mayuko Sakai3, and Shinji Naganawa2 | ||
1Department of Innovative Biomedical Visualization (iBMV), Nagoya University, Nagoya, Japan, 2Radiology, Nagoya University, Nagoya, Japan, 3Canon Medical Systems Corporation, Otawara, Japan |
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We conducted water peak MRS without water suppression, in which the water peak itself is evaluated, to determine if the water peak is altered by the existence of solutes and to evaluate the feasibility of water peak MRS for detecting pathologic changes in CSF. The water peaks were modified by the solute concentrations of NaCl, Glu, and Alb. Differences in water peaks were observed among the CSF phantom simulating normal CSF, CSF with bacterial meningitis, and CSF with obstruction of the subarachnoid space. |
| 2386 | Characterization of Cerebrospinal Fluid Using ultra-high field MRI | |
| Tiago Martins1, Tales Santini1, Minjie Wu1, Kristine Wilckens1, Davneet Minhas1, James W. Ibinson1, Howard J. Aizenstein1, and Tamer S. Ibrahim1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States |
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In this work, we investigated the oscillations on the flow cerebrospinal fluid in the human brain using ultra-high field magnetic resonance imaging with a homogeneous head coil. Acquisition and analysis of images from 5 human volunteers results in identification of different frequency bands around 0.3, 0.8, 1.2, 2.3 and 3.4Hz. The analysis of the frequency spectrum and spatial localization of the signal yield results that could be correlated with physiological processes and CSF clearances. |
| 2387 | Temperature dependence of T1 and T2 values in formalin-fixed brains | |
| Masatoshi Kojima1,2, Yohsuke Makino1,3, and Hirotarou Iwase1,3 | ||
1Department of legal of medicine, graduate school of medicine, Chiba university, Chiba, Japan, 2Department of radiology, Chiba medical center, Chiba, Japan, 3Department of forensic medicine, graduate school of medicine, Tokyo university, Tokyo, Japan |
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The purpose of this study was to investigate the variation of cerebral temperature and T1 and T2 values by varying the temperature of the formalin-fixed brain, assuming various temperatures during postmortem MRI. The T1 and T2 values were calculated by varying the temperature of the formalin-fixed brain in a thermostatic bath from 5°C to 40°C. THe T2 value prolonged with increasing temperature, and the T1 value was highest at 20°C and decreased at lower and higher temperatures. The results of this study will be useful for setting conditions for postmortem MRI imaging and image interpretation. |
| 2388 | Real-time temperature correction of the relaxation parameters in in situ post-mortem neuro MRI | |
| Celine Berger1,2, Melanie Bauer1,2, Eva Scheurer1,2, and Claudia Lenz1,2 | ||
1Institute of Forensic Medicine, Department of Biomedical Engineering, Basel, Switzerland, 2Institute of Forensic Medicine, Health Department Basel-Stadt, Basel, Switzerland |
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The temperature sensitivity of the relaxation parameters represents a major issue in post-mortem MRI due to the passive cooling of the deceased. This study proposes a real-time non-invasive temperature correction method of MR neuroimaging parameters based on an MRI compatible forehead temperature probe. The observed significant linear relations between the forehead temperature and the relaxation times indicate that this real-time non-invasive temperature correction method is suitable for in situ post mortem MR neuroimaging. |
| 2389 | Biochemical Composition of the Cerebrospinal Fluid: Probing by MRI | |
| Khin Khin Tha1,2, Yuta Urushibata3, Hiroyuki Hamaguchi2, and Hideki Hyodoh4 | ||
1Global Center for Biomedical Science and Engineering, Hokkaido University Faculty School of Medicine, Sapporo, Japan, 2Department of Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 3Siemens Healthcare K.K., Tokyo, Japan, 4Department of Forensic Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan |
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This prospective study aimed to evaluate if CEST MRI can detect the biochemical composition of CSF. Fifty-two cadaveric CSF samples were tested for any correlation between the compounds detected by CEST MRI and the CSF biochemical analysis reports. The normalized area for intermediate exchanging amines showed a moderate positive correlation with protein concentration (r= 0.436, P= 0.001), a weak positive correlation with specific gravity (r=0.369, P=0.007), and a weak negative correlation with pH (r= -0.290, P= 0.037). The normalized area for intermediate exchanging amines may be sensitive to detect a change in CSF proteins. |
| 2390 | Optimisation of multi-compartment relaxometry myelin water imaging (MCR-MWI) | |
| Kwok-Shing Chan1 and José P. Marques1 | ||
1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands |
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In this study, we optimise the variable flip angle acquisition protocol for GRE-based myelin water imaging using MCR model. We show numerically and via in vivo imaging that MCR-MWI can be performed with as few as 3 flip angles and still be able to achieve similar measurement performance as with 7 flip angles. We also conduct an analysis to investigate the usefulness of an image denoising method to improve MWI. Preliminary results suggest that MCR-MWI is very robust to noise and higher resolution data is needed to have a better insight. |
| 2391 | Decoupling of global brain activity and cerebrospinal fluid (CSF) flow was evident in Parkinson’s cognitive decline | |
| Feng Han1, Gregory L Brown2,3, Yalin Zhu1, Aaron Belkin-Rosen1, Mechelle M Lewis3,4, Guangwei Du3, Yameng Gu1, Paul J Eslinger3,5, Richard B Mailman3,4, Xuemei Huang3,4,5,6,7,8, and Xiao Liu1,8 | ||
1Department of Biomedical Engineering, The Pennsylvania State University, State College, PA, United States, 2Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA, United States, 3Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, United States, 4Department of Pharmacology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, United States, 5Department of Radiology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, United States, 6Department of Neurosurgery, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, United States, 7Department of Kinesiology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, United States, 8Institute for Computational and Data Sciences, The Pennsylvania State University, State College, PA, United States |
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Deposition and spreading of misfolded proteins have been linked to cognitive dysfunction in Parkinson’s disease (PD). The glymphatic system responsible for removing brain wastes thus may play a role in cognitive impairment in PD. This hypothesis is however difficult to test in clinical populations due to the lack of non-invasive measurements of glymphatic function. Low-frequency (< 0.1 Hz) resting-state fMRI (rsfMRI) signal was recently linked to glymphatic function primarily based on its sleep-dependent coupling with CSF flows. This study found early evidence that the coupling of global rsfMRI and CSF signals is indeed related to cognitive decline in PD. |
| 2392 | Optimised framework for myelin water imaging: data post-processing and Bayesian regression | |
| Ivan Maximov1,2, Oliver Geier3, Elias Kellner4, Helle Pfeiffer3, Valerij G Kiselev4, and Marco Reisert4 | ||
1Western Norway University of Applied Sciences, Bergen, Norway, 2NORMENT, University of Oslo, Oslo, Norway, 3Oslo University Hospital, Oslo, Norway, 4University Medical Center Freiburg, Freiburg, Germany |
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Myelin water imaging (MWI) is a useful tool to probe and provide a quantitative measure of myelin content in the human brain in vivo. The most common MRI technique for MWI is based on multi-echo T2 measurements allowing one to estimate different T2 contributions into the signal decay. However, the conventional non-negative least squares algorithm is computationally very challenging and vulnerable to image artefacts. In the present work we developed an optimised framework for MWI enabling improved pipeline and fast metric estimations using Bayesian regression. |
| 2393 | Evaluation of different b-value sampling strategies in cerebral IVIM: application to interstitial fluid | |
| Gerhard Drenthen1, Jacobus Jansen1, Paulien Voorter1, Joost de Jong1, and Walter Backes1 | ||
1Maastricht University Medical Center, Maastricht, Netherlands |
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Recently, it was shown that besides the parenchymal diffusion and microvascular perfusion an additional, intermediate, component can be observed in the IVIM signal. The fraction of this intermediate diffusion ($$$f_{int}$$$) is suggested to be related to interstitial fluid in the perivascular spaces (PVS). In this study we examine several b-value sampling strategies for measuring the ($$$f_{int}$$$) using simulated IVIM data. When a large intermediate diffusion component is present in the IVIM signal (eg. white matter hyperintensities), b-value sampling strategies specifically aimed to quantify this component can provide better estimates of $$$f_{int}$$$ compared to linear or logarithmic spaced b-values. |
| 2394 | Retrospective Cardiac Gating of Simultaneous Coherent/Incoherent Motion Imaging (SCIMI) in the Brain | |
| Isabelle Heukensfeldt Jansen1, Luca Marinelli1, J Kevin DeMarco2, Robert Y Shih2,3, Vincent B Ho2,3, and Thomas TK Foo1 | ||
1GE Global Research Center, Niskayuna, NY, United States, 2Walter Reed National Military Medical Center, Bethesda, MD, United States, 3Uniformed Services University of the Health Sciences, Bethesda, MD, United States |
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We use retrospective cardiac gating with phase-sensitive reconstruction of diffusion tensor data to create a 4D profile of motion in brain parenchyma with velocity encoding value (VENC) of 0.18 mm/s. We imaged the brain of a healthy volunteer in regions surrounding the ventricles with synchronized recording of a PPG signal. We created a velocity profile for the volume spanning the full cardiac cycle by binning individual images according to the local cardiac phase. Results show coherent periodic motion with distinct systolic/diastolic phases. This motion is thought to comprise of both tissue movement and interstitial fluid flow (ISF) in the region. |
| 2395 | Isotropic water content mapping employing super-resolution reconstruction with acquisition in three orthogonal orientations | |
| Dennis Thomas1,2, Ana-Maria Oros-Peusquens1, Dirk Poot3, and N. Jon Shah1,4,5,6 | ||
1Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich, Jülich, Germany, 2RWTH Aachen University, Aachen, Germany, 3Department of Radiology and Nuclear medicine, Erasmus Medical Center, Rotterdam, Netherlands, 4Department of Neurology, RWTH Aachen University, Aachen, Germany, 5Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany, 6JARA - BRAIN - Translational Medicine, Aachen, Germany |
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Tissue water content is highly regulated in the healthy brain, and even small changes are indicative of pathology. It also constitutes an important source of anatomic MRI contrast. However, this contrast remains insufficiently explored, partly due to lengthy measurement times and relatively low resolution. Super-resolution reconstruction techniques offer a trade-off between resolution, scan time and SNR.The goal of this work was to develop a technique to achieve high resolution, whole-brain water content maps by employing super-resolution reconstruction techniques. Results from the developed technique were evaluated with a carrageenan phantom and whole-brain water content maps acquired from a healthy volunteer. |
| 2396 | White and grey matter microstructural alterations and increased free-water content 13 years after very preterm birth | |
| Claire Kelly1,2, Thijs Dhollander2, Ian Harding3,4, Wasim Khan3, Richard Beare2, Jeanie Cheong1,5,6, Lex Doyle1,5,6,7, Marc Seal2,7, Deanne Thompson1,2,7, and Peter Anderson1,8 | ||
1Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, 2Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 3Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia, 4Monash Biomedical Imaging, Monash University, Melbourne, Australia, 5Newborn Research, The Royal Women's Hospital, Melbourne, Australia, 6Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia, 7Department of Paediatrics, The University of Melbourne, Melbourne, Australia, 8Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, Australia |
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We investigated the microstructural composition of the brain tissue in 130 adolescents born very preterm (VP) compared with 45 full-term (FT)-born controls. This involved a novel voxel-based analysis of white matter-like, grey matter-like, and fluid-like (free-water) diffusion tissue signal fractions derived by Single-Shell 3-Tissue Constrained Spherical Deconvolution. VP adolescents showed widespread, diverse microstructural alterations and increased free-water content across the brain parenchyma compared with FT controls, which were associated with perinatal risk factors and adverse neurodevelopmental outcomes. This study expands knowledge of the neurobiological mechanisms by which VP birth adversely affects brain development in the long-term. |
| 2556 | Longitudinal brain network changes in the GAERS rat model of absence epilepsy | |
| Leo Hebbelmann1, Lydia Wachsmuth1, Henriette Lambers1, Cornelius Faber1, Annika Lüttjohann2, and Thomas Budde2 | ||
1Translational Research Imaging Center Clinic for Radiology, University of Münster, Münster, Germany, 2Physiology I, University of Münster, Münster, Germany |
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Resting-state fMRI under Isoflurane was performed to characterize brain networks in 4 and 8 month old Genetic Absence Epilepsy Rats from Strasbourg (GAERS) and in non-epileptic controls (NEC). Graph theoretical analysis identified major differences in intra-thalamic connectivity with age and compared to NEC, indicating that thalamus is strongly involved and probably modulated by frequently occurring seizures. In contrast, in NEC, brain networks did not change considerably in the age range studied. |
| 2557 | Anatomical and diffusion tensor MRI reveal microstructural effects of tau pathology in the inter-cerebellar fibres of the hTau.P301S mouse model | |
| Ernest Eng1, Raimo Salo1, Heikki Tanila1, Mikko Kettunen1, and Olli Gröhn1 | ||
1A.I. Virtanen Institute for Molecular Sciences, Finland, Kuopio, Finland |
||
The hTau.P301S-Tg mouse is an excellent model to study human tauopathy but knowledge about how tau affects the microstructure remains limited. We therefore performed anatomical and diffusion MRI to uncover structural regions likely affected by tauopathy and to characterise its progression. No initial morphometrical differences were found at 2.5 months of age. However, at 5 months, hTau.P301S mice exhibited local volumetric cerebellar changes and significantly lower FA and AD values, but higher RD values in inter-cerebellar fibres. Our data indicates that tauopathy results in structural and microstructural changes in the inter-cerebellar fibres, and possibly associates with the model’s motor declines. |
| 2558 | Preliminary study of a Lafora Disease mouse model using glycoNOE MRI | |
| Chongxue Bie1,2,3, Yang Zhou4, Peter C. M. van Zijl1,2, Jiadi Xu1,2, Ramon C. Sun5, Matthew S. Gentry66, and Nirbhay N. Yadav1,2 | ||
1The Russell H. Morgan Department of Radiology, 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, 3Department of Information Science and Technology, Northwest University, Xi'an, China, 4Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 5Department of Neuroscience, University of Kentucky, Lexington, KY, United States, 6Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States |
||
Lafora disease (LD) is a glycogen storage disease marked by an intracellular accumulation of starch-like polyglucosan “Lafora bodies” (LBs) in brain and other tissues. There are no non-invasive approaches to quickly image brain glycogen and biopsies are difficult. We evaluate the feasibility of glycoNOE MRI to detect the accumulation of LBs in a laforin-deficient (Epm2a-/-) LD mouse model for this disease. Results suggest that the distribution of LBs in the brain can be mapped using glycoNOE MRI showing potential for studying this disease and its treatment non-invasively in vivo. |
| 2559 | Quantitative Neuroimaging Study for a Non-human Primate Brain Infected with Intramuscular Ebola Virus | |
| Byeong-Yeul Lee1, Jeffrey M. Solomon2, Marcelo Castro1, Dong-Yun Kim3, Joseph Laux1, Becky Reeder1, Richard S. Bennett1, Dima Hammoud4,5, and Ji Hyun Lee1 | ||
1Integrated Research Facility at Fort Detrick, Integrated 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, 4Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 5Center for Infectious Disease Imaging, National Institutes of Health, Bethesda, MD, United States |
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The goal of this study was to perform quantitative neuroimaging of rhesus monkey brains following exposure with Ebola virus (EBOV) via the intramuscular route. Using a high-resolution T1 relaxometry technique, we observed a significant increase in T1 values in the late stage (days 5-7 post inoculation). The most affected regions included the prefrontal-basal ganglia-cerebella pathway. These results are suggestive of CNS involvement in EBOV and provide new insights into the underlying pathophysiology in the brain. |
| 2560 | Brain aging in cynomolgus macaques and common marmosets explored by mapping the magnetic susceptibility and R2* | |
| Rakshit Dadarwal1,2, Judith Mylius1, and Susann Boretius1,2,3 | ||
1Functional Imaging Laboratory, German Primate Center, Göttingen, Germany, 2Georg August Universität Göttingen, Göttingen, Germany, 3Leibniz Science Campus Primate Cognition, Göttingen, Germany |
||
QSM and R2* both are promising MRI methods to detect subtle variations in tissue composition. The present study demonstrates the potential of QSM and R2* to characterize healthy brain aging in macaques and marmosets. |
| 2561 | Brain connectivity impairments revealed by DTI and resting-state fMRI in a mouse model of Huntington’s disease | |
| Jean-Baptiste Pérot1, Marina Célestine1, Miriam Riquelme-Pérez1, Carole Escartin1, Marc Dhenain1, Emmanuel Brouillet1, and Julien Flament1 | ||
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 |
||
Huntington’s Disease (HD) is a neurodegenerative disorder caused by the expansion of CAG repeats on the exon 1 of the HTT gene. Atrophy of the striatum is currently the main biomarker of the disease’s progression, but there is a need to find earlier and more functional biomarkers. Here, we evaluated Diffusion Tensor Imaging (DTI) and resting-state fMRI (rs-fMRI) as biomarkers in heterozygous zQ175 mice, a model mimicking the presymptomatic phase of HD. Our protocol allowed detection of vulnerable brain networks that would be of great interest for better understanding of the pathogenesis in clinical HD. |
| 2562 | High Resolution DTI Tractographic Analysis in a Mouse Model of Pruritis | |
| Talaignair N Venkatraman1, Ouyang Chen2, Allen W Song3, Ru-Rong Ji2, and Christopher D Lascola1 | ||
1Radiology, Duke University Medical Center, Durham, NC, United States, 2Neurobiology, Duke University Medical Center, Durham, NC, United States, 3BIAC, Duke University Medical Center, Durham, NC, United States |
||
A high resolution tractographic ROI analysis was carried out on ex vivo brain in mice with cutaneous T-cell lymphoma (CTCL), a mouse model of chronic pruritis. Our results show statistically significant differences between CTCL and control mice in DTI markers of fiber tract integrity and fiber number primarily involving the thalamus and hippocampus. |
| 2563 | Alteration of basal ganglia thalamo-cortical loop in hemiparkinsonian mouse model | |
| Tomokazu Tsurugizawa1, Yuki Nakamura2,3,4, Yukari Nakamura2,3,4, Assunta Pelosi2,3,4, Boucif Djemai5, Clement Debacker6, Jean-Antoine Girault2,3,4, and Denis Herve2,4,7 | ||
1Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, 2Inserm UMR-S 1270, Paris, France, 3Sciences and Technology Faculty, Sorbonne Universite, Paris, France, 4Institut du Fer à Moulin, Paris, France, 5NeuroSpin/CEA-Saclay, Gif-sur-Yvette, France, 6Inserm, UMR1266, Paris, France, 7Sorbonne Universite, Paris, France |
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Despite a few studies, our knowledge of functional connectivity in the basal ganglia-thalamo-cortical loop remains incomplete in Parkinson’s disease mouse model. Here, we investigated alterations of functional connectivity and white matter structure in a hemi-parkinsonian mouse model. We found that the fractional anisotropy significantly decreased in the lesioned side in the subthalamic nucleus, such as medio-dorsal nucleus and centromedian nucleus of thalamus. The functional connectivity in the ipsilateral thalamic nuclei was also decreased in hemiparkinsonian mice. These results indicate that ipsilateral thalamic nuclei are key regions for functional and structural alterations in basal ganglia-thalamo-cortical loop in hemiparkinsonian mice. |
| 2564 | In vivo Fixel-Based Analysis of diffusion MRI in manifested Huntington’s disease in the zQ175 HD model | |
| Nicholas Vidas-Guscic1, Johan Van Audekerke1, Ben Jeurissen2, Jasmien Orije1, Tamara Vasilkovska1, Dorian Pustina3, Haiying Tang3, Roger Cachope3, Longbin Liu3, Mette Skinbjerg3, Celia Dominguez3, Ignacio Munoz-Sanjuan3, Annemie Van der Linden1, and Marleen Verhoye1 | ||
1Bio-Imaging Lab, university of Antwerp, Antwerp, Belgium, 2Vision Lab, university of Antwerp, Antwerp, Belgium, 3CHDI foundation, Princeton, NJ, United States |
||
Huntington’s disease (HD) is a debilitating neurodegenerative disease that affects the motor and cognitive abilities of patients. Diffusion-weighted imaging is often used in clinical evaluation of neurodegenerative disorders and recently a fixel-based analysis method was developed to analyse diffusion data. We implemented a multi-shell diffusion weighted acquisition and analysis in the zQ175 HD model. The results of the whole-brain and region-based diffusion tensor, diffusion kurtosis and fixel-based analysis indicate the presence of micro- and macrostructural differences in the zQ175 HD model in overall white matter fibers that can be attributed to significant changes in many fiber populations throughout the brain. |
| 2565 | Reproducibility evaluation on resolving complex fiber orientations using diffusion spectrum imaging at 3T and 7T | |
| Nan-Hao Chen1,2, Kuan-Hung Cho2, Yi-Ping Chao3,4, Sheng-Min Huang2, Norihiro Sadato5, Li-Wei Kuo2,6, and Masaki Fukunaga5 | ||
1Biomedical engineering and Environmental sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 3Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, 4Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan, 5Division of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan, 6Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan |
||
Diffusion spectrum imaging (DSI) is a model-free diffusion MRI technique capable of resolving complex fiber orientations. The capability of DSI at different field strengths and spatial resolutions remains unexplored. This study aimed to investigate the reproducibility of DSI quantified by orientational similarity and deviation angle at 3T and 7T. Our results show that DSI reproducibility at 3T and 7T for single-fiber group are comparable, whereas DSI at 7T could provide relatively better reproducibility than that at 3T for crossing-fiber group. The comparison of spatial resolutions for crossing-fiber group suggests that partial volume effect may be less dominant than signal-to-noise ratio. |
| 2566
|
High-Resolution, Whole-Brain T1 and T2 Mapping of Monkey Using 3D Magnetic Resonance Fingerprinting at 9.4 T | |
| Yuning Gu1, Lulu Wang2, Hongyi Yang2, Yun Wu2, Yong Chen3, Kai Zhong2, and Xin Yu1,3,4 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China, 3Radiology, Case Western Reserve University, Cleveland, OH, United States, 4Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States |
||
A 3D MRF method was developed for T1 and T2 mapping of the entire monkey brain with high spatial resolution (0.35x0.35x1 mm3). A conformal head coil was used for improved SNR, which enabled a 24-fold acceleration in data acquisition. B1 inhomogeneity was corrected in dictionary matching. Comparison of the T1 and T2 maps showed a ~20% reduction of T2 in the globus pallidus of 6-year-old monkeys compared to 4-year-old monkeys. |
| 2567 | Early Adoptive Transfer of T Cells Decreases Brain Bleeding during Vesicular Stomatitis Virus Infection: A MRI Study | |
| Li Liu1, Stephen Dodd1, Ryan Hunt1, Nikorn Pothayee1, Nadia Nadia Bouraoud1, Dragan Maric1, E Ashley Moseman1, Dorian B McGavern1, and Alan P Koretsky1 | ||
1National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, MD, United States |
||
MRI was used to follow bleeding and T cell infiltration in mouse model of nasal infection of the brain with VSV. Microbleeds were identified as an early pathological and neuroimaging marker using high-resolution T2*-weighted MRI. Adoptive transfer of virus specific CD8 T cells helped clear VSV, decreased microbleeds but did not stop all microbleeds. Labeling T cells with MPIOs enabled MRI cell tracking and showed the earliest T cell infiltration in the brain. CD8 T cell infiltration and vessel rupture happened 1-day post-infection at glomerular layer, while T cells could be detected at the center of bulb before vessel breakdown. |
| 2568 | Regional brain MRI features reveal the histological alterations in chronic pain: an MRI-based cell imaging study | |
| Lei Wei1, Ming Ding1, Xiao Xiao1, and He Wang1,2 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, Shanghai, China |
||
In our study, we used the ultra-high field magnetic imaging to show the brain functional and structure has changed in the rats of chronic pain model. then we also find the expression levels of the protein marker p-Erk has changed in some brain region, including insula, NAc, S1 and so on, and insula has been shown more significant activation. This results are same to the MRI functional data analysis. Finally, we hope to combine MRI and cell imaging technique could to verify the importance of insula in non-human chronic pain. |
| 2569 | A fiber clustering-based atlas of the chimpanzee deep brain structural connectivity using diffusion MRI | |
| Maëlig Chauvel1, Ivy Uszynski1, William Hopkins2, Jean-François Mangin1, and Cyril Poupon1 | ||
1Université Paris-Saclay, CEA, CNRS, BAOBAB, Neurospin, Gif-sur-Yvette, France, 2Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, TX, United States |
||
A way to better appreciate the ancient or evolved Homo sapiens brain characteristics relies on comparative investigations with homologous species. Chimpanzees remain our closest living hominid relatives, making it a pertinent model for brain studies. Few investigations address the structural connectivity of the chimpanzee brain, whereas its proximity with humans could be key to understanding the human brain. Thanks to the unique imaging data collection provided by the National Yerkes Primate Research Center and the access to elaborated diffusion MRI tools to investigate brain connectivity, we propose a novel long bundle atlas of the white matter of the chimpanzee brain. |
| 2570 | Neurite Orientation Dispersion and Density Imaging in a Pre-clinical Model of Repetitive Mild Traumatic Brain Injury | |
| Patrick McCunn1, Xiaoyun Xu2, Alex Li2, Arthur Brown2, and Robert Bartha2 | ||
1Patrick McCunn, SickKids Research Institute, Toronto, ON, Canada, 2Robarts Research Institute, London, ON, Canada |
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Identification of immediate microstructural changes following repetitive mild traumatic brain injury (mTBI) could shed light on the pathophysiology of second impact syndrome. The purpose of this study was to apply Neurite Orientation Dispersion and Density Imaging (NODDI) to a preclinical model of repetitive mTBI. In the corpus callosum, neurite density index (NDI) showed a significant increase within two hours following both the first and second injury, while orientation dispersion index (ODI) showed an increase after the first injury only. These results suggest an early microstructural response to repetitive mTBI which may follow a dose-dependent like response. |
| 2571 | Increased functional connectivity but intact memory performance in tauopathy mouse at pre-tangle stage | |
| Ling-Yun Fan1, Hsu-Lei Lee1, Robert Sullivan1, Elizabeth Coulson1,2, Juan Carlos Polanco1,2, and Kai-Hsiang Chuang1,3 | ||
1Queensland Brain Institute, University of Queensland, St Lucia, Australia, 2Clem Jones Centre for Ageing Dementia Research, University of Queensland, St Lucia, Australia, 3Centre for Advanced Imaging, University of Queensland, St Lucia, Australia |
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Although pre-tangle stage of tauopathy is regarded as an important pathogenic factor in neurodegenerative disease, their relationship with brain functional connectivity (FC) is still ambiguous. We investigated a tau mouse (rTg4510) model at 2.5 month-old age by resting-state functional MRI, spatial memory task and histopathology. We found increased FC between hippocampus and medial temporal area in rTg4510. Moreover, increased FC is negatively related to learning performance even though the memory is intact. On pathology, there is little phosphorylated tau over temporal areas. Our results suggest FC alternation may be an early sign of neural dysfunction at pre-tangle stage. |
| 2572 | Spatio-temporal alterations in resting-state co-activation patterns in a rat model of sporadic Alzheimer’s disease | |
| Yujian Diao1,2,3, Rolf Gruetter3, and Ileana O. Jelescu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 3Laboratory of Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Impaired brain glucose consumption is a possible trigger of Alzheimer’s disease (AD). Previous work revealed affected brain structure and function by insulin resistance in terms of altered static functional connectivity (FC) in an intracerebroventricular-streptozotocin (icv-STZ) rat model of AD. Here, we used the co-activation patterns (CAP) method, a dynamic FC approach, to assess differences between icv-STZ rats and healthy controls. STZ rats displayed early higher predominance of states involving brain regions shown as hyperconnected by the static FC analysis. Longitudinally, specific brain states declined in the STZ rats only. |
| 2573 | Automatic Segmentation of Brain Lesions in the Cuprizone Mouse Model of Multiple Sclerosis | |
| Yuki Asada1, Luke Xie2, Skander Jemaa3, Kai H. Barck2, Tracy Yuen4, Richard A.D. Carano3, and Gregory Z. Ferl1 | ||
1Pharmacokinetics & Pharmacodynamics, Genentech, Inc., South San Francisco, CA, United States, 2Biomedical Imaging, Genentech, Inc., South San Francisco, CA, United States, 3PHC Data Science Imaging, Genentech, Inc., South San Francisco, CA, United States, 4Neuroscience, Genentech, Inc., South San Francisco, CA, United States |
||
Here, we trained and evaluated a fully convolutional neural network for 3D images to automatically segment brain lesions in MRI images of a cuprizone mouse model of multiple sclerosis. To improve performance, several pre-processing and data augmentation methods were tested and compared. The impact of lesion size on network performance was evaluated and we applied the trained segmentation model to images from non-lesion control mice to assess the capacity of the network to detect the presence or absence of lesions. We conclude that the trained network can 1) detect the presence of a lesion and 2) accurately segment the volume. |
| 2574 | Ultrafast Skull Stripping of Mouse Brain Multi-Modality MR Images Using Deep Learning with Knowledge Transfer | |
| Ziqi Yu1, Yuting Zhai1, Wenjing Xu1, Xiang Chen1, and Xiao-Yong Zhang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China |
||
Skull stripping of the mouse brain on MR images is a crucial step for rodent neuroimaging preprocessing. The traditional methods for this task are time-consuming. To solve the problem, we present a deep learning model, U-Net with Nonlocal Position-aware (NPA) block using domain knowledge transfer. The results demonstrated that our end-to-end method achieves high dice scores in several MR modalities with ultrafast processing speed which is two orders of magnitude faster than atlas-based methods. To conclude, our automatic skull stripping approach may provide an alternative to previous complex preprocessing pipelines for high-throughput rodent neuroimaging applications. |
| 2575
|
Inhomogeneous Magnetization Transfer (ihMT) MRI and Coherent Anti-stoke Raman Scattering (CARS) microscopy applied on LPC demyelinating model | |
| Andreea Hertanu1,2, Cem Karakus3,4, Lucas Soustelle1,2, Victor N. D. Carvalho1,2,5, Gopal Varma6, David C. Alsop6, Bilal El Waly3,4, Olivier M. Girard1,2, Franck Debarbieux3,4, and Guillaume Duhamel1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Aix Marseille Univ, CNRS, INT, Marseille, France, 4Aix Marseille Univ, CNRS, CERIMED, Marseille, France, 5Aix Marseille Univ, CNRS, ICR, Marseille, France, 6Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Intoxication of oligodendrocytes with lysophosphatidylcholine (LPC) is a useful model for the study of focal demyelination and more recently, neuronal damage. We propose an ihMT-CARS analysis on a rodent model of LPC-induced demyelination and a quantitative (T1, T2 and T1D, the dipolar relaxation time) characterization of the demyelinated area. |
| 2576 | Determining Spinal Cord pH using Chemical Exchange Saturation Transfer (CEST) MRI | |
| Alicia Cronin1,2, Patrick Liebig3, Sarah Detombe4, Neil Duggal4, and Robert Bartha1,2 | ||
1Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada, 3Siemens Healthineers, Erlangen, Germany, 4Clinical Neurological Sciences, University Hospital, London Health Sciences Centre, London, ON, Canada |
||
Degenerative cervical myelopathy (DCM) is one of the most common forms of spinal cord dysfunction. Predicting functional recovery after surgery remains elusive. Pathophysiological mechanisms, like ischemia and hypoxia in the spinal cord, could impact recovery after surgery. Chemical Exchange Saturation Transfer (CEST) produces image contrast based on the rate of exchange of amine and amide protons. This exchange rate is dependent on tissue pH, creating a pH-weighted contrast. CEST imaging in the spinal cord incorporating respiratory correction could be used to examine tissue pathology caused by hypoxia in DCM and other spinal cord injuries. |
| 2577 | The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas | |
| Haimei Cao1, Xiang Xiao1, Jun Hua2,3, Guanglong Huang4, Xiaodan Li1, Wenle He1, Jie Qin1, and Yuankui Wu1 | ||
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China |
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Glioma grading is vital for planning therapeutic approaches and assessing prognosis and response to treatment. Advanced MR imaging provides physiological information of brain tumors in microcirculation, cell and molecular levels, thus improving the preoperative prediction of glioma grade. In this study, we studied the value of combined inflow-based vascular-space-occupancy (iVASO) MR imaging and diffusion-weighted imaging (DWI) in preoperative prediction of gliomas grade. The results showed that combined iVASO and DWI improved the diagnostic performance of glioma grading. This suggests that the combined application of iVASO and DWI might be used as part of the routine brain tumor imaging protocol. |
| 2578 | Alterations in brain connectivity as duration of disease increases in Parkinson's disease. | |
| Priyanka Bhat1, S Senthil Kumaran2, Achal K Srivastava1, and Vinay Goyal3 | ||
1Neurology, AIIMS, Delhi, India, 2Nuclear Magnetic Resonance, AIIMS, Delhi, India, 3Neurology, Medanta, The Medicity, Gurgaon, India |
||
Parkinson’s disease (PD) is charcterized by progressive degenration of dopaminergic neurons in substantia nigra. This leads to motor symptoms like bradykinesia with rigidity and tremor. PD patients also experience difficulty in traversing through narrow spaces. Indicating towards altered motor execution and planning and decision making. This study was aimed thus to explore the progressively deteriorating brain connectivity in PD. Functional connectivity was observed to be altered with duration of disease. |
| 2579 | DTI and NODDI assessment of posterior optic pathway function in sellar and parasellar tumor patients | |
| Eun-Jung Choi1, Koung Mi Kang2, Woojin Jung1, Jongho Lee1, Seung Hong Choi2, and Yong Hwy Kim3 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 3Department of Neurosurgery, Seoul National University Hospital, Seoul, Korea, Republic of |
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We investigated the impairment in the optic radiations affected by the anterior visual pathway compression using the diffusion tensor imaging (DTI), and neurite orientation dispersion and density imaging (NODDI). The results were correlated with the visual field impairment score (VFIS), which assesses the function of posterior visual pathway. The DTI and NODDI parameters in the optic radiations were significantly correlated with postoperative visual field improvement as well as preoperative visual field impairment in patients with the compression of optic chiasm. The study demonstrated the anterior visual pathway compression influences the visual field defect of the posterior visual pathway. |
| 2580 | White Matter in Metachromatic Leukodystrophy as Assessed by Myelin Water Fraction and Diffusion Tensor Imaging | |
| Laleh Eskandarian1,2, Safak Parlak3, Onur Afacan4,5, Ceren Günbey6, Nesibe Gevher Ertuğrul6, Banu Anlar6, and Kader Karli Oguz2,3 | ||
1Neuroscience Department, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Faculty of Medicine, Department of Radiology, Hacettepe University, Ankara, Turkey, 4Department of Radiology, Boston Children’s Hospital, Boston, MA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States, 6Department of Pediatrics, Hacettepe University, Ankara, Turkey |
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Metachromatic leukodystrophy (MLD) is a dysmyelinating autosomal recessive lysosomal storage disease. Conventional T2WI may not show the disease involvement accurately, especially in early phases of the disease where a bone marrow transplant can be a treatment option. Therefore we used Myelin Water Fraction (MWF) and Diffusion Tensor Imaging to investigate WM in patients with MLD. MWF and metrics derived from DTI, especially fractional anisotropy (FA), showed diffuse abnormality in WM and were significantly correlated. These imaging techniques can better assess involvement of the cerebral WM in patients with MLD. |
| 2581 | Exploring edematous nerve fibers by using Neurite Orientation Dispersion and Density Imaging | |
| Shin Tai Chong1, Xinrui Liu2, Hung-Wen Kao3, Chien-Yuan Eddy Lin4, Sanford PC Hsu5, and Ching-Po Lin1 | ||
1Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, 2Department of Neurosurgery, First Hospital of Jilin University, Jilin, China, 3Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, 4GE Healthcare, Taipei, Taiwan, 5Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan |
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We hypothesized that the Neurite Orientation Dispersion and Density Imaging (NODDI)-based tractography could improve the reconstruction of the fiber tracts that by tracking through regions of peritumoral edema. In visual comparison with diffusion tensor imaging (DTI), we found that NODDI-based tractography of the corticospinal tract (CST) showed higher sensitivity and specificity in the region of peritumoral edema. The NODDI-based tractography was validated in two patients with tumors resected for five years. With this technique, neurosurgeons may develop better surgical planning to maximize tumor resection and minimize functional loss. |
| 2582 | Assessment of IDH1 Mutation Status and MGMT Promoter Methylation Status of Gliomas Using DWI, IVIM and DKI | |
| Yan Xie1, Shihui Li1, Nanxi Shen1, Weiyin Vivian Liu2, and Wenzhen Zhu1 | ||
1Department of Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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The purpose of this study was to evaluate the efficacy of conventional diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) in assessing IDH1 mutation status and MGMT promoter methylation status in gliomas. In lower-grade gliomas, diffusion MRI parameters were able to significantly distinguish the mutation status of IDH1 and the methylation status of MGMT promoter, which is helpful for predicting prognosis and sensitivity to alkylating chemotherapeutic agents of patients. However, in glioblastomas, there was no significant difference between mutant and wild-type IDH1 as well as methylation and unmethylation status of the MGMT promoter. |
| 2583 | NODDI in detecting cognitive decline in patients with radiation-induced brain injury: comparison with DTI | |
| Weike Zeng1 and Mengzhu Wang2 | ||
1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Guangzhou, China |
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This study aimed to demonstrate the feasibility of neurite orientation dispersion and density imaging (NODDI) for in exploring the pathological mechanism of cognitive impairment in RI compared to DTI. We evaluated the differences of all diffusion parameters between patients with and without cognitive decline confirmed by Montreal Cognitive Assessment (MoCA) scores, as well as the correlation between diffusion maps and cognitive decline. Results demonstrated that NODDI was more sensitive than DTI in detecting cognitive decline in patients with radiation-induced brain injury. Cognitive decline in radiation-induced brain injury was associated with the reduction of neurite density |
| 2584 | Post-surgery network reorganization in glioma patients: a longitudinal study of functional segregation and centrality | |
| Beatrice Federica Luciani1, Francesca Saviola1, Luca Zigiotto2,3, Stefano Tambalo1, Domenico Zacà1, Lisa Novello1, Silvio Sarubbo2,3, and Jorge Jovicich1 | ||
1CIMeC Center for Mind/Brain Sciences, University of Trento, Rovereto (Trento), Italy, 2Department of Neuroscience, Division of Neurosurgery, S.Chiara Hospital, APSS, Trento, Italy, 3Structural and Functional Connectivity Lab, S.Chiara Hospital, APSS, Trento, Italy |
||
In glioma patients, tumor lateralization and grade can critically affect the underlying brain functional connectivity. Little is known about how functional connectivity changes after surgical glioma resection. We employed graph theory analysis to investigate post-surgery longitudinal reorganization of functional networks at global (network-wide) and local (nodal) level. We found that left-lateralized and/or high-grade gliomas show reduced segregation and centrality properties over time, compared to right-lateralized and low-grade gliomas. Our results suggest the importance of pre-surgical mapping of hub networks like the default mode network, in addition to visual, motor and language networks. |
| 2585 | Fast 3D Wave-CAIPI Susceptibility Weighted Imaging and SPACE FLAIR for Comprehensive Evaluation of Demyelinating Lesions in Multiple Sclerosis | |
| Augusto Lio M. Goncalves Filho1,2, Azadeh Tabari1,2, Chanon Ngamsombat3, Ilena George4, Stephen F. Cauley2, Wei Liu5, Daniel N. Splitthoff6, Wei-Ching Lo7, Pamela W. Schaefer1, Otto Rapalino1, Eric C. Klawiter4, John Conklin1,2, and Susie Y. Huang1,2 | ||
1Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Siriraj Hospital, Bangkok, Thailand, 4Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 5Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 6Siemens Healthcare GmbH, Erlangen, Germany, 7Siemens Medical Solutions Inc., Boston, MA, United States |
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The central vein sign (CVS) and paramagnetic rims are imaging signs specific for demyelinating lesions in multiple sclerosis (MS) that can be detected using high-resolution susceptibility-weighted imaging (SWI) and FLAIR sequences. We developed an optimized protocol for fast, comprehensive evaluation of demyelinating lesions including highly accelerated Wave-CAIPI SWI and FLAIR. In 65 patients undergoing evaluation for demyelinating disease, we found that 72% of MS and CIS patients had at least one CVS, and 45% showed at least one paramagnetic rim. The application of highly accelerated Wave-SWI and Wave-FLAIR may improve the characterization of MS lesions in clinically feasible acquisition times. |
| 2586 | Glioblastoma Recurrence vs. Radiotherapy Injury: Combined Model of DKI and 11C-MET Using PET/MR May Increase Accuracy of Differentiation | |
| Haodan Dang1, Ruimin Wang1, Jiajin Liu1, Huaping Fu1, Mu Lin2, Jiahe Tian1, Jinming Zhang1, and Baixuan Xu1 | ||
1Department of nuclear medicine, Chinese PLA General Hospital, Beijing, China, 22. MR Collaboration, Diagnostic Imaging, Siemens Healthcare, Shanghai, China |
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The purpose of this study was to evaluate the diagnostic potential of decision-tree model of diffusion kurtosis imaging (DKI) and 11C-methionine (11C-MET) PET imaging, for the differentiation of radiotherapy injury from glioblastoma recurrence using integrated PET/MR. Eighty-six glioblastoma cases with suspected lesions after radiotherapy were retrospectively enrolled. Compared to models of DKI-alone (AUC=0.85) and PET-alone (AUC=0.89), the combined model demonstrated the best diagnostic accuracy (AUC=0.95). The decision-tree model has the potential to further increase diagnostic accuracy for discrimination between radiotherapy injury and glioblastoma recurrence. 11C-MET PET/MR may thus contribute to the management of glioblastoma patients with suspected lesions after radiotherapy. |
| 2587 | Usefulness of Quantitative Susceptibility MRI for the Detection of Iron in the Motor Cortex in Amyotrophic Lateral Sclerosis | |
| qianwen li1, juan Wei2, and jie Lu1 | ||
1Xuanwu Hospital，Capital Medical University, Beijing, China, 2GE Healthcare, Beijing, China |
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Quantitative Susceptibility Mapping (QSM), a newly developed quantitative and accurate measurement method that can be used to detect iron-related motor cortex alterations in patients of Amyotrophic lateral sclerosis (ALS) that may be relevant to pathologic changes. |
| 2588 | Disturbed interhemispheric functional and structural connectivity in Type 2 diabetes | |
| Ying Cui1, Tian-yu Tang2, and Shenghong Ju1 | ||
1Department of Radiology, Zhongda hospital, Southeast University, Nanjing, China, 2Southeast University, Nanjing, China |
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This study combined the resting-state functional MRI (rs-fMRI) and diffusion tensor imaging (DTI) to explore whether the interhemispheric coordination is altered in type 2 diabetes (T2DM). Results showed that the occipital lobe was disrupted in both functional and anatomic connections and such alteration is strongly associated with endocrine parameters, especially for insulin resistance. |
| 2589 | Noninvasive assessment of MGMT promoter methylation status in grade II-IV gliomas using inflow-based vascular-space-occupancy | |
| Yuankui Wu1, Wenle He1,2, Wensheng Wang2, Jun Hua3,4, Xiang Xiao1, Xiaomin Liu1, Yikai Xu1, and Yingjie Mei5 | ||
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Department of Radiology, Guangdong 999 Brain Hospital, Guangzhou, China, 3Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Philips healthcare, Guangzhou, China |
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Accurate prediction of O(6)-methylguanine-DNA methyltransferase (MGMT) promoter methylation status preoperatively is important. DSC-MRI can predict MGMT promoter methylation status in glioblastomas but not in lower-grade gliomas. Inflow-based vascular-space-occupancy (iVASO), a novel perfusion technique without the need for exogenous contrast agents, emphasizes the perfusion blood volume in arteries and arterioles. In this study, the predictive ability for MGMT promoter methylation status of iVASO histogram features was investigated. The results showed that iVASO-based histogram features accurately predicted the methylation status of MGMT promoter in gliomas. This suggests that iVASO may be a promising noninvasive imaging tool in predicting MGMT promoter methylation. |
| 2590 | Susceptibility-Based Characterization of Venous Distribution and Oxygen Extraction Fraction in Brains with Glioma at 7T | |
| Shihui Zhou1,2, Huilou Liang2,3, Yuchao Liang4, Siqi Cai1,2, Chunxiang Jiang1,2, Rong Xue2,3, Lei Wang4, and Lijuan Zhang*1 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 4Neurosurgery, Beijing Tiantan Hospital of Capital Medical University, Beijing, China |
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Vein density and oxygen extraction fraction were quantified in brains with glioma using a susceptibility-based approach at 7T. Brains with low grade glioma featured more extensive areas with significant difference in vein density and OEF between the homotopic ROIs that mainly involve fronto-parietal areas and basal ganglia, in contrast to brains with high grade glioma with the differential vein density and OEF distribution mainly involving bilateral thalami. The inter-homotopic measurements of vein density and OEF were significantly correlated, suggesting that the oxygen metabolism malfunction in brains with high grade glioma might be partially ascribed to the altered venous distribution. |
| 2591 | Tau-mediated microstructural changes in the central tegmental tract in APOE-ε4 positive mild cognitive impairment | |
| Jason Langley1, Sana Hussain2, Daniel E Huddleston3, Ilana Bennett4, and Xiaoping P Hu1,2 | ||
1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Department of Bioengineering, University of California Riverside, Riverside, CA, United States, 3Department of Neurology, Emory University, Atlanta, GA, United States, 4Department of Psychology, University of California Riverside, Riverside, CA, United States |
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In mild cognitive impairment, hyperphosphorylated tau proteins and tau inclusions first appear in the locus coeruleus and transentorhinal cortex and spread to other brain regions, including the thalamus. Locus coeruleus axons project to the thalamus via the central tegmental tract (CTT). Relative to APOE-ε4 negative subjects, a decrease in MD (p=0.038) and an increase in ficvf (p=0.007) was seen in the CTT of APOE-ε4 positive subjects. In the APOE-e4 positive group, CTT microstructural measures were positively correlated with thalamus tau-PET SUVR but no correlations between CTT microstructure and tau-PET SUVR were observed in the APOE-ε4 negative group. |
| 2592 | Joint and individual statistical analysis of brain MRI and cognition measures in Alzheimer's Disease | |
| Raphiel Jamale Murden1, Deqiang Qiu2, and Benjamin B Risk2 | ||
1Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States, 2Emory University, Atlanta, GA, United States |
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Canonical Joint and Individual Variation Explained (CJIVE) provides a method for jointly analyzing multi-block datasets collected from the same individuals. We apply this method to measures of brain morhometry and cognition from a sample of older adults. We found latent patterns of joint variation across data types which were statistically associated with diagnoses of Alzheimer's Disease and mild cognitive impairment. We also found that the unique patterns of variation within each data type were not associated with diagnoses. |
| 2593 | Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset | |
| Madhura Ingalhalikar1, Sumeet Shinde1, Arnav Karmarkar1, Archith Rajan1, Rangaprakash D2, and Gopikrishna Deshpande3 | ||
1Symbiosis Centre for medical image analysis, Symbiosis international university, Pune, India, 2Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 3Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States |
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Functional MRI connectivity based analysis that ranges between simple univariate methods to complex deep-learning pipelines has been employed to differentiate autistic patients from healthy controls on benchmark datasets such as ABIDE. However, the variability induced via multi-site acquisition of data may perturb the underlying prediction model with undesirable consequences. We illustrate that statistical elimination of scanner effects using COMBAT harmonization yields better results and also facilitates in gaining insights into the discriminative connectivity patterns that emerge post harmonization and which correlate with clinical markers. |
| 2594 | Ultra-High Field Sodium MRI in Alzheimer’s Disease Reveals Stage-dependent Metabolic Alterations Associated with Tau-pathology | |
| Alexa Haeger1,2,3, Michel Bottlaender1,4, Julien Lagarde4,5,6, Renata Porciuncula Baptista1, Cécile Rabrait-Lerman1, Volker Luecken2,3, Jörg Bernhard Schulz2,3, Alexandre Vignaud1, Marie Sarazin4,5,6, Kathrin Reetz2,3, Sandro Romanzetti2,3, and Fawzi Boumezbeur1 | ||
1BAOBAB, CNRS, Paris-Saclay University, CEA-NeuroSpin, Gif-sur-Yvette, France, 2Department of Neurology, RWTH Aachen University, Aachen, Germany, 3JARA-BRAIN Institute of Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH, Julich, Germany, 4BioMaps, CNRS, Inserm, Paris-Saclay University, CEA-SHFJ, Orsay, France, 5Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Sainte-Anne Hospital, Paris, France, 6Université de Paris, Paris, France |
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Deficits in brain cells’ homeostasis and metabolism are suspected to occur ahead of the atrophy observed throughout the brain of AD patients with potential interactions between Amyloid/Tau deposits and the Na/K-pump activity leading to increased cerebral sodium concentrations. Yet this increase remains to be confirmed. We present a multimodal imaging study combining structural 1H-MRI, quantitative 23Na MRI at 7T in association with Tau- and Amyloid-PET. We show that total sodium concentration is increased in multiple brain regions in AD compared to cognitively healthy controls, and that these changes are more strongly correlated with local Tau- than Amyloid-loads. |
| 2595 | Feasibility of Arterial Spin Labeling for Detection of Longitudinal Changes in Perfusion in Elderly and Frontotemporal Dementia Patients | |
| Tracy Ssali1,2, Lucas Narciso1,2, Matthais Günther3, Frank Prato1,2, Udunna Anazodo1,2, Elizabeth Finger4, and Keith St Lawrence1,2 | ||
1Lawson Health Research Institute, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada, 3Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany, 4Department of Clinical Neurological Sciences, Western University, London, ON, Canada |
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Recent advances in the understanding of frontotemporal dementia (FTD) and subsequently, the development of novel disease modifying treatments, has stimulated the need for tools to assess treatment efficacy. While perfusion imaging by arterial spin labeling (ASL) is an attractive approach, its sensitivity to detect longitudinal changes in perfusion in dementia patients remains unknown. Longitudinal variability in perfusion was assessed on a voxel-by-voxel basis over a month. Power analysis revealed ASL has the sensitivity to longitudinal changes as low as 7-8%. These results highlight the potential of ASL for detecting longitudinal changes in FTD populations. |
| 2790 | Sex-based differences in tissue microstructure in multiple sclerosis detected using multi-model diffusion MRI | |
| Olayinka Adeoluwa Oladosu1, Cayden Murray2, Syed Rizvi2, Mariana Bento3,4, G Bruce Pike3,4, and Yunyan Zhang3,4 | ||
1Neuroscience, University of Calgary, Calgary, AB, Canada, 2University of Calgary, Calgary, AB, Canada, 3Radiology, University of Calgary, Calgary, AB, Canada, 4Clinical Neurosciences, University of Calgary, Calgary, AB, Canada |
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Sex difference in multiple sclerosis (MS) prevalence is well recognized but impacts on tissue microstructure and its variations with respect to disease modifying therapies (DMTs) remains unclear. Here we investigated sex-based differences in lesion microstructure and its variations with therapeutic approaches in 52 relapsing-remitting MS patients using diffusion tensor, compartment, and orientation models. We found that men had greater myelin and axonal damage than women in MS lesions, and there was less axonal damage in women taking oral versus injectable DMTs. These results may support further investigations of sex-driven differences in disease monitoring and treatment choices to promote personalized medicine. |
| 2791 | Tracking longitudinal disease progression of MS during fingolimod therapy using SFCI, a combined structural and functional connectivity metric | |
| Pallab K Bhattacharyya1, Robert Fox1, Jian Lin1, Paola Raska1, Ken Sakaie1, and Mark J Lowe1 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States |
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It has been reported that structural and functional connectivity impairment of motor and cognitive network in multiple sclerosis (MS), as measured by diffusion tensor imaging (DTI) and functional connectivity (fcMRI) respectively, stabilize after one year of fingolimod treatment. Structural and functional connectivity index (SFCI), a combined metric of DTI and fcMRI has previously been demonstrated as a sensitive imaging-based measure of progression of MS. Change of (i) motor (ii) cognitive and (iii) pathway combined SFCI were tracked over 2-year fingolimod therapy of MS. SFCI stabilized after one year, which shows its effectiveness to measure disease progression following therapy . |
| 2792 | Greater increase in magnetic susceptibility following acute MS lesion formation is associated with reduced myelin repair | |
| Lily Zexter1, Thanh D. Nguyen2, Elizabeth M. Sweeney3, Yi Wang2, and Susan A. Gauthier1 | ||
1Department of Neurology, Weill Cornell Medicine, New York, NY, United States, 2Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 3Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States |
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Quantitative susceptibility mapping (QSM) provides an effective means to directly map the distribution of magnetic susceptibility sources, such as brain iron. In this study, we examined the relationship between initial QSM change and short-term myelin recovery, measured by myelin water fraction (MWF). The results showed that change in lesion susceptibility at three months was significantly and negatively associated with change in MWF at one year. This significant association provides evidence of the damaging effect of brain iron during early stages of lesion development. |
| 2793 | Hippocampal subfield volumes relate to future cognitive performance in Multiple Sclerosis | |
| Katherine A Koenig1, Jian Lin1, Daniel Ontaneda1, Kedar Mahajan1, Jenny Feng1, Stephen Rao1, Sanghoon Kim1, Stephen Jones1, and Mark J Lowe1 | ||
1The Cleveland Clinic, Cleveland, OH, United States |
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Cognitive dysfunction is a common symptom of Multiple Sclerosis (MS), and patients would benefit from a measure that estimates their risk of future decline. Previous work suggests that hippocampal subfield volumes may have value as a predictive measure. Using 7 tesla MRI, we measured hippocampal volumes in 77 participants with MS. We found relationships between subfield volumes and future cognitive performance. These relationships were driven by relapse remitting MS patients, although the secondary progressive MS group did not show clear differences in the relationship patterns. |
| 2794 | Diffusely abnormal white matter in clinically isolated syndrome is associated with parenchymal loss and elevated neurofilament levels | |
| Irene Margaret Vavasour1, Jackie T Yik2,3, Pierre Becquart4, Jasmine Gill4, Shannon H Kolind1,2,3,5, Alice J Schabas5, Ana-Luiza Sayao5, Virginia Devonshire5, Robert Carruthers5, Anthony Traboulsee5, GR Wayne Moore3,4,5, Sophie Stukas4, Cheryl Wellington4, Jacqueline Quandt4, David KB Li1, and Cornelia Laule1,2,3,4 | ||
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 4Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 5Medicine, University of British Columbia, Vancouver, BC, Canada |
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We characterized the frequency of diffusely abnormal white matter (DAWM) in a broad cohort of multiple sclerosis (MS) participants. 35% of clinically isolated syndrome (CIS) and ~60% of MS participants had DAWM. CIS with DAWM had smaller cortical thickness, higher lesion load and higher concentration of neurofilament light chain compared to CIS without DAWM. DAWM may be useful in identifying brains at risk of injury but only in the CIS population when lesion load is low. Longitudinal studies are warranted. |
| 2795 | Periventricular gradients of brain pathology in early and progressive MS revealed by qMRI | |
| Gian Franco Piredda1,2,3, Tom Hilbert1,2,3, Manuela Vaneckova4, Jan Krasensky4, Michaela Andelova5, Tomas Uher5, Barbora Srpova5, Eva Kubala Havrdova5, Karolina Vodehnalova5, Dana Horakova5, Veronica Ravano1,2,3, Bénédicte Maréchal1,2,3, Jean-Philippe Thiran2,3, and Tobias Kober1,2,3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Poland, 5Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Poland |
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In multiple sclerosis, gradients of tissue damage severity were found in periventricular areas and proved to change in response to treatment. This work investigates whether these gradual microstructural changes can be detected with high-resolution, whole-brain quantitative T1 mapping and how they compare between two cohorts of early and progressive multiple sclerosis patients. T1 deviations were computed in patients from normative atlases established in a healthy cohort and corrected for age and gender. Results show that a periventricular gradient of abnormal T1 values in normal-appearing white matter is indeed present and increases from early to progressive stages of the disease. |
| 2796 | T1 abnormalities in atlas-based white matter tracts: reducing the clinico-radiological paradox in multiple sclerosis using qMRI | |
| Veronica Ravano1,2,3, Gian Franco Piredda1,2,3, Manuela Vaneckova4, Jan Krasensky4, Michaela Andelova5, Tomas Uher5, Barbora Srpova5, Eva Kubala Havrdova5, Karolina Vodehnalova5, Dana Horakova5, Tom Hilbert1,2,3, Bénédicte Maréchal1,2,3, Reto Meuli2, Jean-Philippe Thiran2,3, Tobias Kober1,2,3, and Jonas Richiardi2 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 5Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic |
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In multiple sclerosis, standard radiological metrics (i.e. lesion load) correlate poorly with clinical outcomes. To overcome this limitation, we propose a novel method to evaluate T1 relaxometry abnormalities along thirty-seven major white matter pathways extracted from a tractography atlas, i.e. without needing a diffusion scan. Evaluating T1 z-scores along WM tracts strongly improved correlation with disability compared to lesion load. The strongest correlations were found for T1 abnormalities in normal-appearing white matter, especially in infratentorial tracts. These results suggest that diffuse pathological changes in normal-appearing WM measured along atlas-based tracts using T1 relaxometry could aid clinical evaluation of multiple sclerosis. |
| 2797 | 3.0 T MRI detects brain ventricle oscillations in patients with clinically-isolated syndrome | |
| Jason Michael Millward1, Claudia Chien2, Joseph Kuchling2, Friedemann Paul2, Thoralf Niendorf1, and Sonia Waiczies1 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany |
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We used clinical high resolution 3T MRI to investigate brain ventricle changes over time in patients with clinically isolated syndrome (CIS) who are at the early stages of disease, which may eventually become multiple sclerosis. While most patients showed an overall increase in ventricle volume, 23% also showed contractions greater than the range of variation in healthy subjects, even over a period of years. Patients with contracting ventricles were significantly younger than those without. This suggests that, in addition to neurodegeneration, other processes are implicated that lead to a transient enlargement of the ventricles, which then later resolves. |
| 2798 | Structural connectivity is more sensitive to track cognition progression individual level than fMRI and MEG over 2 years in mildly disabled RRMS | |
| Arzu Ceylan Has Silemek1, Guido Nolte2, Jana Pöttgen1,3, Andreas K. Engel4, Christoph Heesen1,3, Stefan M. Gold1,5, and Jan-Patrick Stellmann6,7 | ||
1Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Eppendorf, Hamburg, Germany, 2Department of Neurophysiology and Pathophysiology, University Medical Center Eppendorf, Hamburg, Germany, 3Department of Neurology, University Medical Center Eppendorf, Hamburg, Germany, 4Institute of Neurophysiology and Pathophysiology, University Medical Center Eppendorf, Hamburg, Germany, 5Department of Psychiatry and Psychotherapy, Charité University Medical Center, Campus Benjamin Franklin, Hindenburgdamm 30, Berlin, Germany, 6CRMBM AMU-CNRS, Aix-Marseille Université, Marseille, France, 7CEMEREM, APHM, CHU Timone, Marseille, France |
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There is still substantial inconsistency between clinical disabilities and findings on brain networks and lack of longitudinal study in Multiple Sclerosis (MS). We aimed to elucidate how topology alters and how disability progression affects the structural and functional organizations over 2-years using graph theory approach in relapsing-remitting MS (RRMS). RRMS patients have encountered with lack of improvement in PASAT over 2-years. Structural connectivity was more sensitive to show a relationship with a cognitive function over 2-years than the rs-fMRI and MEG functional metrics in RRMS patients. These findings underline the difficulties associated with functional imaging studies in MS. |
| 2799 | Blood-brain barrier permeability changes in multiple sclerosis during alemtuzumab treatment | |
| Maria Højberg Knudsen1,2, Helle Juhl Simonsen1, Jette Lautrup Battistini Frederiksen2,3, Ulrich Lindberg1, Mark Bitsch Vestergaard1, Henrik Bo Wiberg Larsson1,2, and Stig Præstekjær Cramer1 | ||
1Dept. Clinical Physiology, Rigshospitalet, Glostrup, Denmark, 2Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark, 3Dept. of Neurology, Rigshospitalet, Glostrup, Denmark |
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Ineffective disease control in multiple sclerosis leads to permanent disability, and biomarkers for early detection of inadequate treatment response are needed. The potential of the patlak derived influx constant (Ki) as a biomarker was investigated in fifteen relapsing-remitting multiple sclerosis patients undergoing alemtuzumab treatment. The subjects underwent dynamic contrast enhanced MRI and 3DT1-weighted scans to assess Ki in grey and white matter before and after treatment. The treatment associated change in Ki in grey matter predicted disease activity within two years. Treatment associated changes in Ki may be used as a biomarker of treatment efficacy. |
| 2800 | Ultrahigh-b radial Diffusion Weighted Imaging (UHb-rDWI) of Wild Type and Shiverer Mouse Spines | |
| Kyle Jeong1, You-Jung Lee1, Suk-Keu Yeom2, Noel Carlson3, Lubdha Shah4, John Rose5, and Eun-Kee Jeong4 | ||
1Utah Center for Advanced Imaging research, University of Utah, Salt Lake City, UT, United States, 2Radiology, Korea University Ansan Hospital, Ansan, Korea, Republic of, 3GRECC, Veteran Affairs, Salt Lake City, UT, United States, 4Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 5Neuroimmunology Division, University of Utah, Salt Lake City, UT, United States |
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Ultrahigh-b radial DWI (UHb-rDWI) is an MRI technique that can quantitatively evaluate the MS lesions with respect to degrees of demyelination and axonal damage and/or loss. With the current lack of sensitive diagnostic imaging for grading cervical spinal cord (CSC) injury and repair, our UHb-rDWI can potentially serve as a powerful tool to observe cervical spinal cord once validated through animal studies. Therefore, the main objective of this study was to evaluate mouse spinal cords with and without demyelination using UHb-rDWI and immunohistochemical analyses to authenticate the reliability and reproducibility of UHb-rDWI. |
| 2801 | Evaluation of PASAT test performance and diffusivity indices in U-fiber regions in healthy subjects and RRMS patients. | |
| Cristian Andrés Montalba1,2,3, Tomás Labbe4,5, Marcelo Andia1,2,3, Miguel Guevara6, Jean-François Mangin7, Juan Pablo Cruz2, Ethel Ciampi8,9, Claudia Carcamo5,8, Pamela Guevara6, and Sergio Uribe1,2,3 | ||
1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Interdisciplinary Center of Neurosciences, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Faculty of Engineering, Universidad de Concepción, Concepción, Chile, 7UNATI, Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France, 8Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 9Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile |
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Multiple Sclerosis patients develop cognitive impairment at the earliest stages of the disease, with changes in cortical recruitment related to cognitive tasks. We evaluated the relation between information-processing speed performance with different diffusivity measurements in subcortical regions between healthy subjects and RRMS patients. We evaluated the FA, MD, RD, and AD diffusivity maps of U-fibers with PASAT test scores in healthy subjects and RRMS patients. PASAT test scores are significantly linear related to Frontal, Temporal, and Parietal cortical areas in healthy subjects. There is no linear relationship between PASAT test scores and diffusivity maps in RRMS patients. |
| 2802 | Assessment of white matter damages in Multiple Sclerosis using normative templates of conventional and inhomogeneous Magnetization Transfer | |
| Lucas Soustelle1,2, Andreea Hertanu1,2, Arnaud Le Troter1,2, Soraya Gherib1,2, Samira Mchinda1,2, Patrick Viout1,2, Lauriane Pini1,2, Claire Costes1,2, Sylviane Confort-Gouny1,2, Adil Maarouf1,2,3, Bertrand Audoin1,2,3, Audrey Rico1,2,3, Clémence Boutière1,2,3, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Gopal Varma4, David C. Alsop4, Jean Pelletier1,2,3, Guillaume Duhamel1,2, and Olivier M. Girard1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3APHM, Hôpital Universitaire Timone, Service de neurologie, Marseille, France, 4Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Characterization of Multiple Sclerosis (MS) is of paramount importance for patient care. In this work, we compare inhomogeneous (ihMT) and conventional magnetization transfer (MT) MRI techniques for white matter (WM) evaluation in a group comparison analysis after normalization in a standard space (templates of MS patients and healthy controls). Regions of interest, voxel-based morphometry and histogram analyses revealed that signal changes in pathological WM are not equivalent for ihMT and MT, highlighting that both metrics provide complementary information. |
| 2803 | Assessing proximal and distal peripheral nerve damage in relapsing-remitting multiple sclerosis using magnetisation transfer ratio | |
| Marios C. Yiannakas1, Ratthaporn Boonsuth1, Carmen Tur1,2, Marco Battiston1, Francesco Grussu1,3, Rebecca S. Samson1, Torben Schneider4, Masami Yoneyama5, Ferran Prados1,6,7, Sara Collorone1, Rosanna Cortese1, Olga Ciccarelli1, and Claudia A. M. Gandini Wheeler-Kingshott1,8,9 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Fuculty of Brain Sciences, University College London, London, United Kingdom, 2Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d’Hebron Institute of Research, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 3Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 4Philips Healthcare, Surrey, Guildford, United Kingdom, 5Philips Japan, Minatoku, Tokyo, Japan, 6Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 7Universitat Oberta de Catalunya, Barcelona, Spain, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain Connectivity Research Centre, IRCCS Mondino Foundation, Pavia, Italy |
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Whilst multiple sclerosis (MS) is thought to be a disease of the central nervous system, evidence from neuropathological investigations has demonstrated that the peripheral nervous system (PNS) can also be affected in MS, with demyelination and axonal degeneration being the main pathophysiological mechanisms involved. In this study, PNS damage is assessed in vivo at proximal (lumbar plexus) and distal (sciatic nerve) anatomical locations in people with relapsing-remitting MS and healthy controls using magnetisation transfer ratio (MTR). Results demonstrate significantly reduced MTR values at distal anatomical locations, however no relationship is identified between these changes and clinical scores of disability. |
| 2804 | Automatic Segmentation of Diffusely Abnormal White Matter in MS Using Deep Neural Network | |
| Refaat E Gabr1 and Ponnada A Narayana1 | ||
1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States |
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Deep neural network was used to automatically segment diffusely abnormal white matter (DAWM) in 100 relapsing remitting multiple sclerosis patients (RRMS). Our calculated DAWM prevalence of 32% is comparable to ~ 25% reported elsewhere. Based on our studies, only 13% of T2 lesions at baseline converted into DAWM by 60 months. Of the DAWM detected at baseline, only 15% converted to lesions, 45% persisted, and 40% resolved (converted to NAWM). These initial results suggest that DAWM may present a significant disease burden by itself. |
| 2805 | Decline of both iron concentration and iron content within the thalamus of patients with multiple sclerosis over two years | |
| Fahad Salman1, Niels Bergsland1,2, Michael G Dwyer1,3, Bianca Weinstock-Guttman4, Robert Zivadinov1,3, and Ferdinand Schweser1,3 | ||
1Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, 3Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States, 4Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States |
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This study investigates the temporal evolution of iron content and concentration in thalamic nuclei of patients with multiple sclerosis over two years. Both metrics declined significantly relative to controls in the pulvinar. Pulvinar iron may potentially serve as an imaging biomarker for oligodendroglial vitality in MS. |
| 2806 | Diffusion Compartment Imaging Characterization of White Matter Microstructural Changes in Pediatric Onset Multiple Sclerosis | |
| Fedel Machado-Rivas1,2, Camilo Jaimes1,2, Benoit Scherrer1,2, Mark Gorman1,2, Simon K Warfield1,2, and Onur Afacan1,2 | ||
1Radiology, Boston Children's Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States |
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DTI has been used to evaluate brain microstructure in MS lesions and normal appearing white matter (NAWM). A DIAMOND model with an isotropic compartment + an anisotropic compartment may help disentangle the individual contribution of the compartments arising within a voxel, more accurately reflecting changes in the WM microstructure. In addition to finding differences in cAD, cRD, cMD and cFA, compartment diffusion model heterogeneity index was found to be significantly different in lesions. Our results support that a DIAMOND analysis can provide insights to MS lesion microstructure beyond conventional DTI metrics. |
| 2807 | MR Inversion Recovery Simulation and Scanning of Subjects with Focus on White Matter Lesion Contrast Optimization | |
| Øystein Bech Gadmar1, Anne-Hilde Farstad2, Berit Elstad2, Piotr Sowa2, and Wibeke Nordhøy1 | ||
1Diagnostic Physics, Oslo University Hospital, Oslo, Norway, 2Radiology, Oslo University Hospital, Oslo, Norway |
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A MatLab-based inversion recovery sequence simulator/calculator was developed with the purpose of determining and testing optimal parameters for 3D IR acquisitions with the purpose of detecting Multiple Sclerosis lesions in brains. Single inversion FLAIR and dual inversion DIR sequences were studied including a “True-T2” DIR sequence removing the undesired T1 weighting inherent in IR sequences to improve lesion-WM contrast. A T2 preparation phase further helps facilitate T1 suppression. Optimized IR sequences were tested on healthy volunteers and some MS patients, on 1.5 T and 3.0 T MR scanners. Good lesion contrast efficiency with high SNR was found for True-T2 DIR. |
| 2808 | Prediction of multiple sclerosis clinical progression using whole brain adiabatic T1rho and Relaxation Along a Fictitious Field imaging | |
| Ivan Jambor1, Aida Steiner2, Marko Pesola3, Timo Liimatainen4, Marcus Sucksdorff3, Eero Rissanen 2, Laura Airas2, Hannu Aronen3, and Harri Merisaari3 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Turku University Hospital, Turku, Finland, 3University of Turku, Turku, Finland, 4University of Oulu, Oulu, Finland |
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In this single center prospective clinical trial, we have shown feasibility of whole brain of T1ρadiab and TRAFF2 at 3T. Both of these methods provided higher lesion-to-normal appearing white matter contrast compared with conventional used T1-weighted imaging, and demonstrated potential to predict multiple sclerosis disease severity scores (EDSS, MSSS) at the time of imaging and 1-year follow-up. These encouraging findings stimulate further application of T1ρadiab and TRAFF2 at 3T in patients with multiple sclerosis. |
| 2809 | Relevance analysis of identifying multiple sclerosis patients based on diffusion imaging data using CNN | |
| Alina Lopatina1,2, Stefan Ropele3, Renat Sibgatulin1, Jürgen R Reichenbach1,2,4, and Daniel Güllmar1 | ||
1Medical Physics Group / IDIR, Jena University Hospital, Jena, Germany, 2Michael-Stifel-Center for Data-Driven and Simulation Science, Jena, Germany, 3Department of Neurology, Medical University of Graz, Graz, Austria, 4Center of Medical Optics and Photonics Jena, Jena, Germany |
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To analyze the classification procedure of identifying multiple sclerosis (MS) based on diffusion-weighted imaging data by using convolutional neural networks (CNNs), we generated relevance maps. The relevance maps indicate the contribution of each input voxel to the final classification score and may facilitate new findings regarding MS-specific biomarkers. The study showed that voxels in the central brain area including some of the lesion voxels are important for correct classification. This information may be used in the future to perform a more detailed analysis in order to classify different MS-phenotypes or predict disease progression. |
| 2810 | Paramagnetic Rim Lesions in MS are characterized by heterogeneous damage and inflammatory activity: a combined T1 relaxometry-diffusion study | |
| Muhamed Barakovic1,2,3, Riccardo Galbusera1,2,3, Reza Rahmanzadeh1,2,3, Matthias Weigel1,2,3, Po-Jui Lu1,2,3, Erik Bahn4, Simona Schiavi5, Alessandro Daducci5, Pascal Sati6,7, Pietro Maggi8,9, Ludwig Kappos2,3, Jens Kuhle2,3, Laura Gaetano10, Stefano Magon11, and Cristina Granziera1,2,3 | ||
1Translational Imaging in Neurology (ThINk) Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 2Neurologic Clinic and Policlinic, University Hospital Basel and University of Basel, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 4Institute of Neuropathology, University Medical Center, Göttingen, Germany, 5Department of Computer Science, University of Verona, Verona, Italy, 6Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States, 7Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 8Department of Neurology, Lausanne University Hospital, Lausanne, Switzerland, 9Cliniques universitaires Saint Luc, Université catholique de Louvain, Louvain, Belgium, 10F. Hoffmann-La Roche Ltd., Basel, Switzerland, 11Pharmaceutical Research and Early Development, Roche Innovation Center Basel F. Hoffmann-La Roche Ltd., Basel, Switzerland |
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Paramagnetic rim lesions (PRL) are characterized by heterogeneous damage in multiple sclerosis (MS) patients. In this study we acquired in vivo, postmortem and histopathology with the aim to further characterize the microstructural properties of these lesions. Furthermore, we disentangled the heterogeneity of PRL by combining a stick-ball-sphere diffusion model with the quantification of mean T1 relaxation times. |
| 2811 | Deep Multiple Sclerosis Lesion Segmentation with Anatomical Convolution and Lesion-wise Loss | |
| Hang Zhang1, Jinwei Zhang1, Pascal Spincemaille1, Thanh D. Nguyen1, and Yi Wang1 | ||
1Cornell University, New York, NY, United States |
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We propose an anatomical convolutional module to couple anatomical information into deep neural network. We further develop a loss function based on the mass center of individual lesions called lesion-wise loss, which can regularize the network training, thereby improving the performance of lesion localization and segmentation. We validate our methods on a public dataset, ISBI-15 Multiple Sclerosis Lesion Segmentation Challenge [1], where the results showed that we achieved the best performance on all published methods. |
| 2812 | Characterization of multiple sclerosis lesion types with texture analysis of advanced and conventional MRI | |
| Zahra Hosseinpour1, Olayinka Oladosu2, Mahshid Soleymani1, G Bruce Pike2, and Yunyan Zhang2 | ||
1Biomedical Engineering program, Schulish School of Engineering, University of Calgary, Calgary, AB, Canada, 2Department of Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada |
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Multiple sclerosis (MS) lesion characterization using MRI is valuable for monitoring MS and probing remyelination therapies. However, there is a lack of in-vivo MRI metrics in clinical studies. We assessed MS lesion types using statistical texture measures of advanced and conventional MRIs, accompanied by random forest classification and percentile statistics, to differentiate MS lesions based on myelination. The best texture parameters and percentiles that classified re- and de-myelinated lesions were derived from histology-verified MRI. Applying the established parameters from postmortem to in-vivo MRI identified two types of lesions: highly demyelinated and potentially remyelinated. |
| 2813 | MRI reveals inflammation-mediated demyelination in a cuprizone toxin model of multiple sclerosis | |
| Stephen T. Vito1, Kai H. Barck2, Rohan S. Virgincar2, Amy Easton1, Robby M. Weimer2, Tracy J. Yuen1, and Luke Xie2 | ||
1Neuroscience, Genentech, South San Francisco, CA, United States, 2Biomedical Imaging, Genentech, South San Francisco, CA, United States |
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Multiple sclerosis (MS) is the most common disease of the CNS that causes neurodegeneration and demyelination. MRI can track changes in MS lesions, but how imaging monitors inflammatory cell response or myelin content is not well characterized. In this study, we use a cuprizone toxin mouse model to determine how T2 relaxation time, myelin water fraction (MWF), diffusion tensor imaging (DTI), and gRatio MRI relate to changes with microglia, astrocytes, oligodendrocytes, and myelin. Using longitudinally imaging, MRI was able to detect inflammation-mediated demyelination. T2 reflected changes in inflammation (microglia and astrocytes) while MWF and gRatio suggested demyelination. |
| 2814 | Longitudinal automated assessment of paramagnetic rim lesions in multiple sclerosis using RimNet | |
| Maxence Wynen1, Francesco La Rosa2,3,4, Amina Sellimi5, Germán Barquero2,3,4, Gaetano Perrotta6, Valentina Lolli7, Vincent Van Pesch5, Cristina Granziera8,9, Tobias Kober10, Pascal Sati11,12, Benoît Macq13, Daniel S. Reich11, Martina Absinta11,14, Meritxell Bach Cuadra2,3,4, and Pietro Maggi5,15 | ||
1Ecole Polytechnique de Louvain, Université Catholique de Louvain, Louvain-la-Neuve, Belgium, 2Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 3Medical Image Analysis Laboratory, Center for Biomedical Imaging (CIBM), University of Lausanne, Lausanne, Switzerland, 4Radiology Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5Department of Neurology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium, 6Department of Neurology, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium, 7Department of Radiology, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium, 8Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 9Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 10Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 11Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 12Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 13ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium, 14Department of Neurology, Johns Hopkins University, Baltimore, MD, United States, 15Department of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland |
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The automatic assessment of paramagnetic rim lesions in multiple sclerosis is important, and a deep learning-based algorithm called RimNet has recently been proposed. This work evaluates the generalizability of RimNet and its longitudinal performance on MRI data acquired at different clinical centers. We found that RimNet’s performance was nearly as good on totally unseen data as in the original paper (receiver-operating-characteristic area-under-the-curve (AUC) 0.88 vs. 0.94, precision-recall AUC 0.69 vs. 0.70), and it made consistent predictions on longitudinal data (binary consistency 82%, probability consistency 93%). |
| 2815 | Accelerating Quantification of Myelin Water Fraction with Nonlocal Low-Rank Tensor in the Feature Domain | |
| Quan Chen1, Huajun She1, and Yiping P. Du1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Acceleration of myelin water fraction (MWF) mapping using the Feature domain nonlocal Low-Rank Tensor based (FnLRT) algorithm is investigated in this study. The global temporal information of the whole images is used to project the T2* weighted images (T2*WIs) into the feature domain. The nonlocal and local spatial redundancies in the feature domain are further exploited. The tensor-based decomposition is used to explore the multi-dimensional redundancies. The human brain experiments demonstrate the outperformance of the FnLRT algorithm over the state-of-the-art reconstructions at R=6. The FnLRT algorithm provides the potential to obtain the whole brain MWF mapping in 1 minute. |
| 2816 | Beyond the Mean: Myelin Heterogeneity Index as a Sensitive Metric for Assessing Myelin Damage in Multiple Sclerosis | |
| Poljanka Johnson1, Irene M Vavasour2, Shawna Abel1, Lisa E Lee3, Stephen Ristow1, Cornelia Laule4, Roger Tam2, David K.B. Li2, Nathalie Ackermans1, Alice Schabas1, Jillian Chan1, Helen Cross1, Ana-Luiza Sayao1, Virginia Devonshire1, Robert Carruthers1, Anthony Traboulsee3, and Shannon Kolind5 | ||
1Medicine, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3University of British Columbia, Vancouver, BC, Canada, 4Radiology, Physics and Astronomy, Pathology, University of British Columbia, Vancouver, BC, Canada, 5Medicine, Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada |
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Myelin water imaging is a quantitative MRI technique that has been used to investigate myelin content in multiple sclerosis (MS). Three metrics derived from myelin water imaging were compared in the normal appearing white matter of different MS subtypes and correlations with disability were investigated. The myelin heterogeneity index was best able to distinguish between MS subtypes and demonstrated the strongest correlation with disability. |
| 2817 | Application of an exponential recovery model to multiparametric 3D MRI to characterize the evolution of active lesions in Multiple Sclerosis | |
| Lucas Soustelle1,2, Andreea Hertanu1,2, Arnaud Le Troter1,2, Soraya Gherib1,2, Samira Mchinda1,2, Patrick Viout1,2, Lauriane Pini1,2, Claire Costes1,2, Sylviane Confort-Gouny1,2, Adil Maarouf1,2,3, Bertrand Audoin1,2,3, Audrey Rico1,2,3, Clémence Boutière1,2,3, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Gopal Varma4, David C. Alsop4, Jean Pelletier1,2,3, Olivier M. Girard1,2, and Guillaume Duhamel1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3APHM, Hôpital Universitaire Timone, Service de neurologie, Marseille, France, 4Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Active lesions in Multiple Sclerosis (MS) present successive phases, from formation through their chronic stage. Characterizing these phases may help us better comprehend the disease evolution. In this work, multiparametric MRI was performed in a 12-month longitudinal study of MS patients presenting new active lesions. An exponential recovery model was proposed to characterize the evolution of MR metrics in these lesions, allowing derivation of the recovery rates of inhomogeneous MTR, conventional MTR, DTI and T1-weighted images. Results show that recovery capacities are patient-dependent and that metrics differ in performance, presumably due to their respective sensitivity to the underlying MS mechanisms. |
| 2818 | High-b Diffusivity of MS Lesion in Cervical Spinal Cord using Ultrahigh-b DWI (UHb-DWI) | |
| Kyle Jeong1, Lubdha Shah2, You-Jung Lee1, Bijaya Thapa1, Nabraj Sapkota1, Erica Bisson3, Noel Carlson4, Eun-Kee Jeong2, and John Rose5 | ||
1Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States, 2Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 3Neurosurgery, University of Utah, Salt Lake City, UT, United States, 4GRECC, Veterans Affairs, Salt Lake City, UT, United States, 5Neuroimmunology and Neurovirology Division, University of Utah, Salt Lake City, UT, United States |
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Ultrahigh-b radial DWI (UHb-rDWI) is a technique that can quantitatively evaluate MS lesions with respect to degrees of demyelination and axonal damage and/or loss. Currently, there is a lack of sensitive diagnostic technique to quantitatively and non-invasively grade cervical spinal cord (CSC) injury and repair. Our UHb-rDWI can potentially be a powerful tool to quantitatively observe disease progression and monitor treatment responses in MS CSC. Therefore, the main objective of this study was to investigate UHb-rDWI signal in white matter tracts of the CSC and compare quantitative values between healthy control WM with both MS NAWM and WM lesions. |
| 2819 | Brain Ultrashort T2 Component imaging using a STAIR Prepared Dual-Echo UTE Sequence with Complex Echo Subtraction | |
| Ya-Jun Ma1, Hyungseok Jang1, Zhao Wei1, Mei Wu1, Saeed Jerban1, Eric Y Chang1,2, Jody Corey-Bloom1, Graeme M Bydder1, and Jiang Du1 | ||
1UC San Diego, San Diego, CA, United States, 2VA Health system, San Diego, CA, United States |
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We combine a Short TR Adiabatic Inversion Recovery preparation and dual-echo Ultrashort TE data collection with complex Echo Subtraction (ES) (STAIR-dUTE-ES) for both morphological and quantitative imaging of ultrashort T2 components in the whole brain. The 3D STAIR-dUTE-ES technique provides robust water suppression within the whole brain and allows accurate ultrashort T2 proton quantification. UltraShort T2 Proton Fraction (USPF) reduction in multiple sclerosis (MS) lesions suggests that the STAIR-dUTE-ES technique has potential for evaluation of demyelination and remyelination in the diagnosis and treatment of patients with MS. |
| 2820 | Myelin Water Imaging Demonstrates Myelin Loss in Multiple Sclerosis Normal Appearing White Matter over Two Years | |
| Irene Margaret Vavasour1, Poljanka Johnson2, Shawna Abel3, Stephen Ristow3, Jared Splinter3, Cornelia Laule1,4,5,6, Roger Tam1, David KB Li1, Nathalie Ackermans3, Alice J Schabas3, Jillian Chan3, Helen Cross3, Ana-Luiza Sayao3, Virginia Devonshire3, Robert Carruthers3, Anthony Traboulsee3, and Shannon H Kolind1,3,4,6 | ||
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Neuroscience, University of British Columbia, Vancouver, BC, Canada, 3Medicine, University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 5Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada |
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Therapies that target remyelination are under development and a non-invasive specific and sensitive imaging biomarker to evaluate their efficacy within the timescale of a clinical trial is vital. Using myelin water imaging, we followed a group of relapsing-remitting and progressive multiple sclerosis (MS) participants and healthy controls over approximately 2 years to compare their rate of change in myelin water fraction. A significant decrease in mean myelin water fraction was found over 2 years in the normal-appearing white matter of participants with MS, with a larger decrease in relapsing-remitting MS than progressive MS. |
| 2821 | Sub-second Accurate Myelin Water Fraction Reconstruction with UNET | |
| Jeremy Kim1,2, Thanh Nguyen2, Jinwei Zhang2, and Yi Wang2 | ||
1Stanford University, New York, NY, United States, 2Weill Cornell, New York, NY, United States |
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We developed UNET neural network for rapid, accurate and reproducible extraction of myelin water fraction map from FAST-T2 multi-echo T2 decay data. Testing results on 109 MS brains showed that UNET shortens post-processing time to less than a second and outperforms existing multi-layer perceptron algorithm. |
| 2822 | Quantitative multi-modal MRI shows correlations between lesion iron deposition and neuro-axonal density in progressive multiple sclerosis | |
| Sara Collorone1, Marco Battiston1, Ferran Prados 1,2,3, Alberto Calvi1, Baris Kanber4, Francesco Grussu1,5, Marios Yiannakas1, Carmen Tur1,6, Rebecca Samson1, Olga Ciccarelli1,7, and Claudia A.M. Gandini Wheeler-Kingshott1,8,9 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom, 2Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London (UCL), London, United Kingdom, 3Universitat Oberta de Catalunya, Barcelona, Spain, 4Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London(UCL), London, United Kingdom, 5Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 6Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d’Hebron Institute of Research, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 7University College London Hospitals, Biomedical Research Centre, National Institute for Health Research, London, United Kingdom, 8Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain Connectivity Center Research Department, IRCCS Mondino Foundation, Pavia, Italy |
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We present preliminary results on ten patients with progressive multiple sclerosis(PMS) who underwent multi-modal MRI including quantitative magnetisation transfer (qMT), relaxometry and neurite orientation dispersion and density imaging (NODDI). We obtained metrics sensitive to iron deposition (T2*), myelin (restricted proton fraction (F)), and neuro-axonal density (neurite density index (NDI)) in lesions and brain tissues. Increased lesion T2* was related to decreased NDI in lesions and cortical grey matter. The lesion high T2* and low NDI were related to worse cognitive performance. In PMS, iron deposition from innate immune activity may lead to axonal loss and represent a future therapeutic target. |
| 2823 | A Comparison of Brain Iron Accumulation Patterns Between Subtypes of Multiple Sclerosis | |
| Aly Khalifa1 and Michael D Noseworthy2,3 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 3School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada |
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A data analysis pipeline was developed to correlate multiple sclerosis (MS) disease severity with regional susceptibility weighted imaging (SWI) intensity scores. It was assumed that reduced brain SWI signal correlated with elevated iron accumulation. Susceptibility weighted imaging (SWI) was used to map regional variations in brain iron content within each MS subtype. Number of brain areas with abnormal brain iron (relative to healthy age/sex matched controls), and the size of abnormal SWI image clusters, correlated with disease severity, based on subtype. |
| 2824 | MS-Voter: Learning Where to Vote for Confluent Multiple Sclerosis Lesion Separation | |
| Hang Zhang1, Jinwei Zhang1, Junghun Cho1, Susan A. Gauthier1, Pascal Spincemaille1, Thanh D. Nguyen1, and Yi Wang1 | ||
1Cornell University, New York, NY, United States |
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Lesion count, which encodes the lesion historical information, is an important biomarker for diagnosis and treatment of multiple sclerosis. Confluent lesions pose a great challenge to traditional automated methods, as these lesions are connected spatially, which requires expert experience to separate them. In this abstract, we propose a Hough voting method based on deep neural networks to resolve the issue. Experimental results on an in-house dataset demonstrates the superiority of our approach. |
| 2825 | Increasing age is independently associated with higher free water in non-active MS brain - A multi-compartment analysis using FAST-T2 | |
| Liangdong Zhou1, Yi Li1, Xiuyuan Hugh Wang1, Elizabeth Sweeney1, Hang Zhang1,2, Emily B Tanzi1, Jennette Prince2, Victor Antonio Su-Ortiz2, Susan A Gauthier1, and Thanh D Nguyen1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Cornell University, Ithaca, NY, United States |
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Multiple Sclerosis (MS) includes both inflammatory demyelination and axonal degeneration, which may affect the tissue water fractions of brain parenchyma in both myelin and the CSF water compartments. Quantification of brain parenchyma CSF fraction (CSFF) may help us better understanding of this complicated neurodegenerative disease. Aging is the most common cause of neurodegenerations. Here we tested CSFF in a 111 non-active MS cohort (age:45-79 years) by using the multi-echo T2 relaxometry-based multiple water-compartment method. Multivariate multiple regression shows that in cortical gray matter CSFF increases with age by controlling other factors including gender, disease duration, and MS lesion burden. |
| 2826 | Impact of the Acquisition Protocol on the Sensitivity to Demyelination and Axonal Loss of DKI and NODDI: A Simulation Study | |
| Stefania Oliviero1 and Cosimo Del Gratta1 | ||
1Department of Neuroscience, Imaging, and Clinical Sciences, University of Chieti Pescara G. D'Annunzio, Chieti, Italy |
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There is a general lack of agreed-upon guidelines regarding the DWI sequences to use, particularly to optimize the microstructural characterization of lesions. We evaluated the effects of demyelination and axonal loss on DKI and NODDI metrics and the impact of the sequence on the sensitivity to damage by performing a Monte-Carlo diffusion simulation inside a novel model of damaged WM. The sequence strongly affected the means and sensitivities of the metrics. Consequently, comparing DKI and NODDI analysis employing different sequences could lead to erroneous conclusions regarding the damage assessment: further investigations are needed for a community consensus on acquisition details. |
| 2827 | Mapping myelin content in ex-vivo MS brain tissue using short-T2 MRI of the lipid-protein bilayer | |
| Emily Louise Baadsvik1, Markus Weiger1, Romain Froidevaux1, Wolfgang Faigle2, Benjamin Victor Ineichen2, and Klaas Paul Pruessmann1 | ||
1ETH Zurich and University of Zurich, Zurich, Switzerland, 2University Hospital Zurich and University of Zurich, Zurich, Switzerland |
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Ultrashort-T2 signal from white matter can be captured for imaging using dedicated short-T2 techniques. In this work, such methods were applied to D2O-exchanged human brain tissue from four donors diagnosed with multiple sclerosis to obtain 0.39 mm isotropic resolution MR images of the ultrashort-T2 tissue components and a lower-resolution multi-TE image series which, via a model fitting procedure, was used to produce maps of the relative content of myelin lipid-protein bilayer. As proof-of-principle, the contrast in these images was compared with corresponding myelin-stained cryosections and sample photographs, yielding promising correlation for white matter, grey matter and multiple sclerosis lesions. |
| 2828 | Myelin imaging derived quantitative parameter mapping compared to myelin water fraction | |
| Yuki Kanazawa1, Masafumi Harada1, Yo Taniguchi2, Syun Kitano3, Nagomi Fukuda3, Yuki Matsumoto1, Hiroaki Hayashi4, Kosuke Ito2, Yoshitaka Bito2, and Akihiro Haga1 | ||
1Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan, 2Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan, 3Faculty of Medicine, Tokushima University, Tokushima, Japan, 4Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan |
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We evaluated myelin imaging R1·R2* derived from QPM-relaxation parameters compared with the MWF derived from the same QPM gradient-echo dataset. Linear regression analysis indicated a correlation between R1·R2* products values and MWF values derived from same QPM dataset (R = 0.53, P < 0.0001).The R1·R2* products map derived from QPM offers as follow advantage; quantitative analysis; artifact free; and post-processing without fitting algorithm after QPM estimation. Myelin map derived from QPM can be applied for the quantitative assessment of white matter structure as substitute for MWF. |
| 2829 | Association of estimated time from the onset of multiple sclerosis plaques with myelin and axon-related quantitative MRI measurement | |
| Tomoko Maekawa1,2, Akifumi Hagiwara1,3, Masaaki Hori1,4, Christina Andica1, Shohei Fujita1,5, Toshiaki Akashi1, Koji Kamagata1, Akihiko Wada1, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan, 2Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan, 3Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 4Department of Diagnostic Radiology, Toho University Omori Medical Center, Tokyo, Japan, 5Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan |
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We investigated the association between estimated time from the onset of multiple sclerosis (MS) plaques and myelin- and axon-related quantitative MRI measurements using synthetic MRI (SyMRI) and neurite orientation dispersion and density imaging (NODDI). We retrospectively analyzed 32 MS patients with 73 newly appearing plaques. MS plaques with longer estimated time from the onset had significantly lower myelin volume fraction and higher g-ratio. It is suggested that myelin in plaques is under ongoing damage more than axons. SyMRI and NODDI may be useful for the quantitative assessment of temporal change in MS plaques. |
| 3006 | Cerebellar changes in Spinocerebellar Ataxia Type 2 and 12 in comparison with healthy controls | |
| Pankaj pankaj1, S Senthil Kumaran1, and Achal Kumar Srivastava2 | ||
1NMR, All India Institute of Medical Sciences, New Delhi, India, 2Neurology, All India Institute of Medical Sciences, New Delhi, India |
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Spinocerebellar Ataxia (SCA), also known as spinocerebellar degeneration, is a degenerative, progressive and genetic disorder that leads to severe disability. On structural morphometrics of isolated cerebellum, we observed significant white matter atrophy in the anterior lobe of the SCA type 2 and 12 patients. Cerebellum atrophy of gray matter in both bilateral anterior and posterior cerebellar lobes, Cerebellar Tonsil, Uvula, Inferior Semi-Lunar Lobule, Declive, Red Nucleus and Substania Nigra was observed in SCA2, with respect to healthy controls. SCA2 patients exhibited more atrophy in comparison to SCA12. Atrophy in the cerebellum suggest deficits in motor and cognition in SCA patients. |
| 3007 | Cerebro-cerebellar impact on brain dynamics in a single-subject with cerebellar ataxia | |
| Silvia Maria Marchese1, Fulvia Palesi2,3, Mariagrazia Bruzzone4, Anna Nigri4, Stefano D'Arrigo5, Chiara Pantaleoni5, Claudia AM Gandini Wheeler-Kingshott2,3,6, Egidio D'Angelo2,3, and Paolo Cavallari1 | ||
1Human Physiology Section of the DePT, Università degli Studi di Milano, Milano, Italy, 2Department of Brain and Behavioral Science, Università degli Studi di Pavia, Pavia, Italy, 3Brain Connectivity Center Research Department, IRCCS Mondino Foundation, Pavia, Italy, 4Neuroradiology Department, Fondazione IRCCS Istituto Neurologico "C. Besta", Milano, Italy, 5Developmental Neurology Department, Fondazione IRCCS Istituto Neurologico "C. Besta", Milano, Italy, 6Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, NMR Research Unit, Queen Square MS Centre, London, United Kingdom |
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The simulation of whole-brain dynamics in a single-subject affected by Joubert syndrome (non-progressive pediatric cerebellar ataxia), allowed us to investigate the impact of cerebro-cerebellar connectivity in a brain network with cerebellar dysfunction. The prediction power resulted strongly disturbed with the exclusion of the cerebro-cerebellar network from the generation of cerebral activity. These preliminary results suggest that compensatory mechanisms and plasticity must have taken place in the damaged cerebellum itself to support whole brain functional dynamics. |
| 3008 | Genetic impacts on nigral iron deposition in Parkinson’s disease | |
| Jing jing Wu1, Xiao jun Guan2, Tao Guo2, Cheng Zhou2, Ting Gao3, Xue qin Bai2, Xiao cao Liu3, Lu yan Gu3, Pei yu Huang3, Xiao jun Xu3, and Min ming Zhang2 | ||
1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, HangZhou, China, 2Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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The dysfunction of iron metabolism, especially in substantia nigra (SN), in Parkinson’s disease (PD) has been widely acknowledged, but the genetic influence on iron deposition remains largely unknown. Thus, this study aimed to explore the potential genetic impacts on iron deposition in PD patients. Using imaging genetics association analysis, this study discovers two variants, rs602201 and rs198440, have a positive impact on nigral iron deposition in PD. Specifically, patients with rs602201 polymorphism are particularly vulnerable to iron deposition in SN. |
| 3009 | The presumed structure alterations of Spinocerebellar Ataxias 3: from presymptomatic to the symptomatic stage | |
| Haishan Qiu1, Jing Zhao1, Manshi Hu1, Mengzhu Wang2, and Jianping Chu1 | ||
1Sun Yat-sen University, Guangzhou, China, 2Simens Healthcare, Guangzhou, China |
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There is an evolving history of structural images with SCA3 patients in different disease stages. The WM damage starts with the impairment of ICP and goes through SCP extends to the midbrain, then widespread to the whole brain. The alteration of GMV does not occur until the arise of ataxia symptom, then began to involve the medulla, cerebellum, and pons, and developed to involve basal ganglion, finally affect the cortical cortex. The impairment of WM tracts precedes the GM atrophy and, irrespective of the patients with or without clinical manifestation, the identified WM damage was significantly correlated with SARA. |
| 3010 | Volumetric estimation of various brain parts in Gluten Ataxia patients: A quantitative MRI study | |
| Uma Sharma1, Vishwa Rawat1, Prasenjit Das 2, Achal Kumar Srivastava3, and Govind Makharia4 | ||
1Nuclear Magnetic Resonance and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Pathology, All India Institute of Medical Sciences, New Delhi, India, 3Neurology, All India Institute of Medical Sciences, New Delhi, India, 4Gasteroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India |
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Present study investigated volumetric volume changes in the brain of patients suffering from Gluten Ataxia (GA) using MRI. GA patients were seen to have significantly low brain and cerebellar volumes along the lobules which form the part of vermis suggesting cell degeneration and role of vermis in GA. GA patients also had significantly high levels of CSF. No significant changes were observed in whole brain grey matter, cerebrum, caudate, hippocampus and amygdala. Our results suggest that cerebrum volume is not linked to GA but lobes of cerebellum, whole brain white matter and CSF is significantly associated with GA. |
| 3011 | Evaluating normative Cerebellum radiomics on FLAIR images | |
| Umang Pandey1, Jitender Saini2, Manoj Kumar2, Rakesh Gupta3, and Madhura Ingalhalika1 | ||
1Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India, 3Department of Radiology,Fortis Memorial Research Institute, Gurgaon, India |
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Radiomics in neuroimaging has gained momentum as a noninvasive prediction tool not only to differentiate between types of brain tumors, but also to create phenotypic signatures in neurological/neuropsychiatric disorders. However, there is currently little understating about the robustness and reproducibility of radiomic features in a baseline normative population. Moreover, the radiomics across cerebellum which has a more complex anatomy has not been evaluated This study investigates and demonstrates the intra- and inter-scanner reproducibility and the spatial variations within the regions of the cerebrum and cerebellum. Our findings suggest that care must be taken while interpreting these features for pathological inferences. |
| 3012 | Spatial changes of neuromelanin and iron content in substantial nigra pars compacta in early-stage idiopathic Parkinson’s disease | |
| Zenghui Cheng1, Bin Xiao2, Naying He3, Dinggang Shen4, Qian Wang5, Feng Shi4, Youmin Zhang3, Pei Huang3, Yan Li3, Sean K Sethi6, Kiarash Ghassaban7, Shengdi Chen3, Fuhua Yan3, and Ewart Mark Haacke7 | ||
1Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Medical Imaging Technology, 、School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 3Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China, 5Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 6Magnetic Resonance Innovations, Inc, Bingham Farms, MI, United States, 7Wayne State University, Detroit, MI, United States |
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Parkinson’s disease (PD) is a common neurodegenerative disorder characterized by progressive loss of neuromelanin-containing dopaminergic neurons and iron deposition mainly in the substantia nigra (SN). Previous studies mainly focused on global changes in both neuromelanin (NM) and iron content. In this study, we used a voxel-wise analysis to investigate the spatial changes of iron and NM content in PD and found that the ventral and medial part of the SN pars compacta had more iron deposition and less neuromelanin, especially, in early-stage PD. |
| 3013 | Automatic Detection of the Neuromelanin, Substantia Nigra, Red Nucleus and Subthalamic Nucleus using a High Resolution Brain Template | |
| Mojtaba Jokar1, Ying Wang1,2, Zhijia Jin3, Yan Li3, Zenghui Cheng3, Yu Liu3, Naying He3, Fuhua Yan3, and E. Mark Haacke1,2,3,4,5 | ||
1Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 2Department of Radiology, Wayne State University, Detroit, MI, United States, 3Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, 5Department of Neurology, Wayne State University, Detroit, MI, United States |
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A total of 37 healthy controls (HC) were used to create a template which was then used to automatically detect neuromelanin, substantia nigra, red nucleus and subthalamic nucleus in the midbrain. In order to evaluate the performance of the template, regions of interest (ROIs) were drawn manually on the MTC and QSM images. DICE similarity coefficients and volume ratios of the template to manual data were calculated for different thresholds for each structure. These showed promising results, validating the performance of the template. |
| 3014 | Neuromelanin Sensitive MRI and QSM of the Substantia Nigra in Parkinson’s-Linked Asian LRRK2 Carriers | |
| Septian Hartono1,2, An Sen Tan3, Weiling Lee4, Joey Oh4, Kuan Jin Lee5, Jongho Lee6, Eng King Tan1,2, and Ling Ling Chan2,4 | ||
1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, 4Singapore General Hospital, Singapore, Singapore, 5Singapore BioImaging Consortium, Singapore, Singapore, 6Seoul National University, Seoul, Korea, Republic of |
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Asian-specific leucine-rich repeat kinase 2 (LRRK2) gene risk variants are associated with increased risk of idiopathic Parkinson’s disease (PD) and accelerated motor progression in disease. We examined the role of quantitative susceptibility mapping (QSM) and neuromelanin-sensitive MRI (NMS) in quantifying dopaminergic denervation in the substantia nigra (SN) in LRRK2 risk-carriers and non-carriers in PD. QSM susceptibility and high-iron area in the SN were significantly increased in PD risk-carriers compared to non-carriers; NMS showed no difference between these two groups. Combined quantitative QSM models displayed good classification performance discriminating risk-carrier from non-carrier groups (68.4% sensitivity, 92.3% specificity, AUC 0.804) in PD. |
| 3015 | Altered cortico-cerebellar functional connectivity of language processing in congenital blind children | |
| A Ankeeta1, S Senthil Kumaran1, and Rohit Saxena2 | ||
1Department of NMR & MRI Facility, All India Institute of Medical Sciences, Delhi, India, 2Dr RP Centre of Ophthalmology, All India Institute of Medical Sciences, Delhi, India |
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This study investigated structural alteration, cerebellar BOLD activation and functional connectivity during Braille reading by congenital blind (CB) children. Functional magnetic resonance imaging (fMRI) during Braille reading and T1 data were acquired on a 3T MR scanner in CB and sighted control (SC) children. CB children showed bilateral activation in posterior lateral cerebellum Crus I, II. BOLD cerebellar, visual signals and functional connectivity measures exhibited positive correlation with duration of Braille reading. Involvement of cerebellum, visual cortex during Braille reading in congenital blind children suggest its role in haptic language processing. |
| 3016 | Substantia Nigra Neuromelanin-sensitive Imaging Biomarker to Differentiate Between Atypical Parkinsonian Syndromes | |
| Rahul Gaurav1,2,3, Emina Arsovic1,4, Lydia Chougar1,4, Nadya Pyatigorskaya1,2,3,4, Marie Vidailhet2,3,5, and Stephane Lehericy1,2,3,4 | ||
1CENIR, ICM Paris, Paris, France, 2Paris Brain Institute (ICM), Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMR 7225, Paris, France, 3ICM Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France, 4Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France, 5Department of Neurology, APHP, Pitié-Salpêtrière Hospital, Paris, France |
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Atypical Parkinsonian disorders are progressive neurodegenerative diseases characterized clinically by parkinsonism, associated with degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNc). Histological studies suggested that dopaminergic cell neurodegeneration pattern may differ between atypical Parkinsonian disorders and with Parkinson’s disease. In this study, we aimed to quantify and compare SNc volume and signal intensity using neuromelanin-sensitive T1-weighted MRI between progressive supranuclear palsy, multiple system atrophy, corticobasal degeneration, dementia with Lewy body and sporadic Parkinson’s disease. |
| 3017 | Fibre-specific white matter reduction in patients with multiple system atrophy: comparison of parkinsonian and cerebellar subtypes | |
| Po-Yuan Chen1, Chih-Chien Tsai1, Chin-Song Lu2, Yi-Hsin Weng2, Yi-Ming Wu3, and Jiun-Jie Wang1 | ||
1Chang Gung University, Taoyuan, Taiwan, 2Chang Gung Memorial Hospital, Taoyuan, Taoyuan, Taiwan, 3Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan |
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Precise differentiation between MSA subtype is critical in medical intervention and prognosis. The results of previous studies using DTI to differentiate subtypes of MSA is controversial. We use fixel based analysis to examine the tract-specific differences in white matter between individuals with MSA and healthy controls. The results demonstrate the white matter degeneration in specific fibre bundle, including middle cerebellar peduncle, pontine crossing tract and cerebellar white matter tracts in the early MSA-C patients; in contrast, this pattern was not observed in MSA-P patients. This suggests that FBA may be a sensitive marker for early differential diagnosis of MSA subtype. |
| 3018 | Substantia Nigra Susceptibility Features Derived by Radiomics Predict Motor Outcome for STN-DBS in Parkinson’s Disease | |
| Naying He1, Yu Liu1, Bin Xiao2, Junchen Li3, Chencheng Zhang4, Yijie Lai4, Feng Shi5, Dinggang Shen5, Yan Li1, Hongjiang Wei6, Ewart Mark Haacke1,7, Weibo Chen8, Qian Wang2, Dianyou Li4, and Fuhua Yan1 | ||
1Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, Shanghai, China, 3Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, China, Changshu, China, 4Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Shanghai, China, 5Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China, Shanghai, China, 6Institute for Medical Imaging Technology, Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, Shanghai, China, 7Department of Radiology, Wayne State University, Detroit, Michigan, USA, Detroit, MI, United States, 8Philips Healthcare，Shanghai，China, Shanghai, China |
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Currently, there are neither individual objective nor quantitative indicators for predicting DBS motor outcome. We hypothesized that the distribution of SN iron changes in PD patients may reflect a specific disease trait and could potentially account for some variability in the motor outcomes after sub-thalamic nucleus (STN) deep brain stimulation (DBS). We developed a radiomics model with machine learning (RA-ML) based on preoperative individual QSM of the SN to predict motor outcome for STN-DBS in PD and it performed best with an AUC of 0.897. In addition, the threshold probability of the RA-ML model can differentiate surgical responders and non-responders. |
| 3019 | Locus coeruleus degeneration associated with less levodopa responsiveness in Parkinson’s Disease | |
| Cheng Zhou1 and Minming Zhang1 | ||
1Zhejiang University, Hangzhou, China |
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We conducted a neuromelanin sensitive magnetic resonance imaging, which is a good indicator for LC integrity, in 57 PD patients. We depicted a significant positive association between LC integrity and motor improvement after levodopa administration. We further confirmed this relationship in the level of objective brain alteration: LC integrity associated with the improvement of somatomotor network synchronization calculated from functional magnetic resonance imaging. We concluded that LC degeneration was an indicator for less levodopa responsiveness. LC integrity evaluation might be an alternative tool in predicting disease prognosis and stratifying patients into clinical trials for improving the efficacy of levodopa. |
| 3020 | Automatic assessment of motion artifact on Nigrosome 1 visualization protocol using CNN-LSTM | |
| Junghwa Kang1, Na Young Shin2, and Yoonho Nam1,2 | ||
1Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, South Korea, yongin, Korea, Republic of, 2Seoul St.Mary’s Hospital, Department of Radiology, The Catholic University of Korea, Seoul, South Korea, Seoul, Korea, Republic of |
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We proposed an automatic evaluation model for estimating the degree of motion artifacts in high-resolution multi-echo gradient echo images for nigrosome-1 visualization in the substantia nigra. A combination of a convolutional neural network and a long short-term memory was used to develop the automatic motion evaluation model. The results demonstrated that the proposed model could be useful tools for N1 visualization for diagnosing Parkinson’s disease. |
| 3021 | Quantitative mapping of substantia nigra iron and neuromelanin in Parkinson’s Disease | |
| Jiahao Li1,2, Kelly Gillen1, Ilhami Kovanlikaya1, Thanh Nguyen1, Alexey Dimov1, Kailyn Li1, Weiyuan Huang1, Xianfu Luo1, Carly Skudin1, Eileen Chang1, Alexander Shtilbans1,3, and Yi Wang1,2 | ||
1Weill Cornell Medicine, New York, NY, United States, 2Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States, 3Hospital for Special Surgery, New York, NY, United States |
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Parkinson’s disease (PD) is a neurodegenerative disorder characterized pathologically by loss of dopaminergic neurons and accumulation of iron in the substantia nigra. Our MR imaging study uses quantitative susceptibility mapping (QSM) and magnetization transfer contrast (MTC) to quantify iron and neuromelanin, respectively in healthy controls, patients with REM sleep behavior disorder (RBD), and PD. We demonstrate that patients with PD have an increase in iron but reduction in neuromelanin in the substantia nigra as compared to healthy controls. Loss of dopaminergic neurons can cause release of neuromelanin, thus furthering a neuroinflammatory and neurodegenerative cycle1. |
| 3022 | Substantia nigra magnetic resonance spectrum in differentiating tremor-dominant Parkinson’s disease from essential tremors | |
| Rushi Chen1, Yan Bai1, Qin Feng1, Menghuan Zhang1, Xianchang Zhang2, and Meiyun Wang1 | ||
1Henan provincial people's hospital, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China, Beijing, China |
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Conventional magnetic resonance imaging has limitations in differentiating Parkinson’s disease (PD) from essential tremors (ET). Magnetic resonance spectroscopy (MRS) can non-invasively detect neurochemical alterations in biological tissues. In this study, we used MRS to obtain N-acetylaspartate (NAA)/creatine (Cr) and choline (Cho)/Cr ratios in the substantia nigra (SN) of patients with tremor-dominant PD and ET. The NAA/Cr ratio in the contralateral SN was significantly higher in patients with tremor-dominant PD than those with ET, whereas the Cho/Cr ratios showed no significant differences between groups. The findings suggest that MRS in the SN may be helpful in differentiating tremor-dominant PD from ET. |
| 3023 | Feasibility of a short but comprehensive MRI protocol for quantitative characterization of progressive neurodegeneration in Friedreich ataxia | |
| Koene R.A. Van Dijk1, Courtney A. Bishop2, James O’Callaghan2, James A. Goodman1, Laigao Chen1, Peter T. Loudon3, Lawrence Charnas4, Eugenii A. Rabiner2, and Richard Festenstein5 | ||
1Digital Medicine and Translational Imaging, Early Clinical Development, Pfizer, Cambridge, MA, United States, 2Invicro, London, United Kingdom, 3Clinical Sciences, Early Clinical Development, Pfizer, Cambridge, United Kingdom, 4Rare Disease Research Unit, Pfizer, Cambridge, MA, United States, 5Department of Brain Sciences, Imperial Clinical Research Facility and BRC (NIHR), Imperial College London, London, United Kingdom |
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We report on feasibility of a short but comprehensive 3T brain MRI protocol in Friedreich ataxia. The multi-parametric protocol includes measures of anatomy, iron content, several indices of white matter, and brain metabolites. The scan session, lasting less than 60 minutes, was tolerated well by all 8 patients who had varying degrees of ataxia symptomatology, and provided good quality imaging data for the majority of sequences and patients. This protocol allows non-invasive quantitative characterization of progressive neurodegeneration in cerebral and cerebellar structures in patients with Friedreich ataxia suggesting the potential for rich, longitudinal phenotyping in this population. |
| 3024 | Swallow tail sign and nigrosome 1 - close but not quite the same | |
| Malte Brammerloh1,2, Evgeniya Kirilina1,3, Anneke Alkemade4, Pierre-Louis Bazin1,4, Caroline Jantzen1, Carsten Jäger1,5, Andreas Herrler6, Kerrin J. Pine1, Penny Gowland7, Markus Morawski5, Birte Forstmann4, and Nikolaus Weiskopf1,2 | ||
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany, 3Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 4Integrative Model-based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Netherlands, 5Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany, 6Department of Anatomy and Embryology, Maastricht University, Maastricht, Netherlands, 7Sir Peter Mansfield Imaging Center, University of Nottingham, Nottingham, United Kingdom |
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MRI holds great promise for diagnosing Parkinson's disease, based on the disappearance of the swallow tail sign in T2*-weighted images, which past research assumed to be nigrosome 1. We studied the sign's anatomical underpinning, combining ultra-high field MRI in vivo and postmortem, 3D-reconstructed microscopy, and immunohistochemistry. Based on block-face images and calbindin-D28K immunohistochemistry, we constructed a 3D nigrosome atlas. We show that nigrosome 1 extends beyond the swallow tail sign by co-registering this atlas to in vivo MRI. As the swallow tail sign only partially overlaps with but is not identical to nigrosome 1, its interpretation needs to be revised. |
| 3025 | Subcortical grey matter changes associated with motor skills in Parkinson Disease: a longitudinal study | |
| Céline Charroud1 and Luca Turella1 | ||
1Center for Mind/Brain Sciences - CIMeC, Mattarello, Italy |
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This study investigated the subcortical structural modifications associated with motor symptoms of Parkinson Disease (PD) over time. Fifty subjects with PD performed two MRI sessions (baseline/48months). Motor symptoms were assessed using the Unified Parkinson’s Disease Rating Scale III. Our results showed an atrophy over time in all subcortical regions linked to the progression of PD. Furthermore, a reduced volume in thalamus and an increased volume in pallidum were associated with a decline in motor skills, consistent with the model of thalamo-cortical functional loops. Finally, we confirm that VBM and volumetry are complementary tools to assess brain degeneration in PD. |
| 3026 | The perfusion deficits in general cognitive, executive, and visual dysfunction in Parkinson's disease measured by arterial spin labeling MRI | |
| Dilek Betul Arslan1, Hakan Ibrahim Gurvit2, Ozan Genc1, Sevim Cengiz1, Ani Kicik3,4, Kardelen Eryurek4,5, Emel Erdogdu4,6, Zerrin Yildirim2, Zeynep Tufekcioglu2, Aziz Mufit Ulug1,7, Basar Bilgic2, Hasmet Hanagasi2, Tamer Demiralp4,8, and Esin Ozturk-Isik1 | ||
1Biomedical Engineering, Biomedical Engineering Institution, Bogazici University, Istanbul, Turkey, 2Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey, 3Department of Physiology, Faculty of Medicine, Demiroglu Bilim University, Istanbul, Turkey, 4Neuroimaging Unit, Hulusi Behcet Life Sciences Research Center, Istanbul University, Istanbul, Turkey, 5Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey, 6Department of Psychology, Faculty of Arts and Sciences, Isik University, Istanbul, Turkey, 7CorTechs Labs, San Diego, CA, United States, 8Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey |
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The main aim of this study was to detect perfusion deficits at general executive, cognitive and visual domains of Parkinson's disease (PD) patients with mild cognitive impairment and normal cognition compared to healthy controls based on cerebral blood flow (CBF) maps obtained with arterial spin labeling MRI (ASL-MRI). CBF maps were calculated by fitting a general kinetic curve model for each pixel of ASL-MR images. A hypoperfusion pattern was observed in PD in line with general cognitive and executive dysfunction. |
| 3027 | Disrupted Functional Connectivity of the Nucleus basalis of Meynert in Parkinson's Disease patients with Mild Cognitive Impairment | |
| Chao Zhang1, Weiqiang Dou2, and Kai Xu1 | ||
1Department of Radiology, Xuzhou Medical University, Xuzhou, China, 2GE Healthcare,MR Research China, Beijing, China |
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Different functional connectivities of Basal nucleus of Meynert (BNM-FC) and the other brain regions among patients with Parkinson’s Disease (PD) accompanied and not accompanied with mild cognition impairment (PD-MCIs and PD-NCs, respectively) have been investigated in this study. A model based on Support-Vector-Machine with BNM-FC and neuropsychological results showed significantly decreased BNM-FC in the right superior parietal lobe of PD-MCIs than PD-NCs, allowing an accurate differentiation between PD-MCIs and PD-NCls. These results advanced our knowledge of the cholinergic system underpinning cognitive function in PD individuals. |
| 3028 | Automated Magnetic Resonance Parkinsonism Index: Test-Retest Reliability and 10 Year Changes in Aging and Parkinson’s Disease | |
| Yao-Chia Shih1,2, Bénédicte Maréchal3,4,5, Ricardo Corredor Jerez3,4,5, Septian Hartono2,6, Hui-Hua Li2,7, Isabel Hui Min Chew1, Eng King Tan2,6, and Ling Ling Chan1,2 | ||
1Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 6Department of Neurology, National Neuroscience Institute (Outram-campus), Singapore, Singapore, 7Health Services Research Unit, Singapore General Hospital, Singapore, Singapore |
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Progressive supranuclear palsy phenotypes are increasingly recognized and the Magnetic Resonance Parkinsonism Index (MRPI) useful in supporting clinical diagnosis. We examined the test-retest reliability of a landmark-based automated algorithm to derive MRPI from >2000 brain scans across different cohorts with neurodegeneration and MRI systems. We also investigated temporal changes in the MRPI derived from longitudinal scans 6–10 years apart in 53 subjects from case-control Parkinson’s disease cohorts. We found the automated MRPI fast (averaging 25s ± 2s per case) and reliable (average coefficient of variance <20%), without significant change in MRPI over time in aging and Parkinson’s disease. |
| 3029 | Magnetic resonance characteristics of iron and neuromelanin in early Parkinson’s disease: correlation with vesicular monoamine transporter 2 | |
| xueling Liu1, Pu-Yeh Wu2, and Yuxin Li1 | ||
1Department of Radiology, Huashan hospital affiliated to Fudan University, Shanghai, China, 2GE Healthcare, Beijing, China, Shang Hai, China |
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In this study, we investigated alterations of iron and NM in EPD, and correlations between them and VMAT2 binding in nigrostriatal system. Our results suggested that changes of neuromelanin and susceptibility on QSM images could quantitatively reflect the pathology of EPD and could be used as imaging biomarkers for diagnosing of EPD. The SUR measured by 18F-DTBZ images could reflect the lateralization in EPD patients. NM volume could reflect the striatal dopaminergic function, and both CR value and SUR could reflect the severity of motor impairment in EPD, which are expected to be used for monitoring the progression of EPD. |
| 3030 | Value of magnetic resonance fingerprinting for differentiating tremor-dominant Parkinson’s disease from essential tremors | |
| Yan Bai1,2, Rushi Chen1,2, Wei Wei1,2, Rui Zhang1,2, Zhun Huang2,3, Xianchang Zhang4, Mathias Nittka5, Gregor Koerzdoerfer5, and Meiyun Wang1,2 | ||
1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Academy of Medical Sciences., Zhengzhou, China, 2Henan Key Laboratory for Medical Imaging of Neurological Diseases, Zhengzhou, Henan, China, ZhengZhou, China, 3Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, School of Basic Medicine., Zhengzhou, China, 4MR Collaboration, Siemens Healthcare Ltd., Beijing, China, BeiJing, China, 5MR Pre-development, Siemens Healthcare GmbH, Erlangen, Germany, Erlangen, Germany |
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Conventional magnetic resonance imaging cannot reliably differentiate Parkinson’s disease (PD) from essential tremors (ET). Magnetic resonance fingerprinting (MRF) can simultaneously acquire T1 and T2 relaxometry. This study utilized MRF to obtain T1 and T2 values in substantia nigra (SN) of patients with tremor-dominant PD and ET. The T1 values of SN were significantly higher in patients with tremor-dominant PD than those with ET, whereas the T2 values showed no significant differences between groups. The findings suggest that MRF T1 mapping of the SN can potentially differentiate tremor-dominant PD from ET |
| 3031 | STN/GP-nets: Fully automatic deep-learning based segmentation for DBS applications using ultra-high 7 Tesla MRI | |
| Oren Solomon1, Tara Palnitkar1,2, Rémi Patriat1, Henry Braun1, Joshua Aman2, Michael C Park2,3, Guillermo Sapiro4, Jerrold Vitek2, and Noam Harel1,3 | ||
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurology, University of Minnesota, Minneapolis, MN, United States, 3Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, 4Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Department of Computer Science, Department of Mathematics, Duke University, Durham, NC, United States |
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Deep brain stimulation (DBS) surgery has been shown to improve the quality of life for patients with various motor dysfunctions. The success of DBS is directly related to the proper placement of the electrodes, which requires accurate detection and identification of the relevant target structures. We present a deep-learning based automatic, robust and accurate segmentation technique from 7 Tesla MRI acquisitions of subcortical structures for DBS surgery planning and post-operative electrode localization. DBS targets and related structures include the subthalamic nucleus, substantia nigra, red nucleus and the internal and external compartments of the globus pallidus. |
| 3032 | Evaluation and Quantification of SWI MRA of Cerebral Vasculature in Parkinson’s Disease Patients | |
| Dmytro Pylypenko1, Yuhui Xiong1, Lanxin Ji1, Le He1, Yu Ma2, and Hua Guo1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China |
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This study aimed to perform an evaluation of the vascular geometry in PD patients vs. healthy control group to quantify the structural changes in the cerebral vasculature by analyzing SWI MRA data. Findings show, that the PD’s vasculature network was found to have a higher tortuosity, fractality, and branching, yet lower volume and total length as well as smaller average diameter. It is also important to state that aging has a great impact on vascular impairment in PD patients. |
| 3033 | Cerebral hyper-perfusion associated with mild cognitive impairment in de novo Parkinson’s disease | |
| Yong Zhang1, Chang-Peng Wang2, Jian Wang2, Li-Rong Jin2, and Bing Wu3 | ||
1GE Healthcare, Shanghai, China, 2Zhongshan Hospital, Shanghai, China, 3GE Healthcare, Beijing, China |
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We aimed to investigate the patterns of cerebral perfusion changes in early drug-naive PD patients with mild cognitive impairment (PD-MCI). Voxel-wise cerebral blood flow (CBF) were compared among PD-MCI patients, PD patients with normal cognition (PD-NC) and healthy controls. Increased CBF was detected in the right anterior cingulate cortex in the PD-MCI group as compared to the controls, as well as higher perfusion in the right middle frontal gyrus and superior frontal gyrus relative to PD-NC. Cerebral hyper-perfusion in frontal lobe might be associated with cognitive decline in early de novo PD. |
| 3034 | Simultaneous multi-parameter mapping to characterize Parkinson’s Disease using strategically acquired gradient echo imaging | |
| Yu Shen1, Xianchang Zhang2, Yan Bai1, Yaping Wu1, Ewart Mark Haacke3, Bo Wu4, Yongsheng Chen4, Rui Zhang1, Rushi Chen1, Wei Wei1, and Meiyun Wang1 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd. Beijing China, Beijing, China, 3Wayne State University, Detroit, MI, United States, 4Shanghai Zhuyan Medical Technology Company, Shanghai, China |
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Scanning patients with Parkinson’s disease (PD) is challenging because of tremors. Strategically acquired gradient echo (STAGE) imaging can acquire seven quantitative images relatively quickly. This method could provide comprehensive evaluations of cerebral alterations in PD patients while reducing motion artifacts. This study compared T1, T2*, R2*, and susceptibility-weighted imaging mapping (SWIM) acquired with STAGE imaging between 15 PD patients and 15 healthy controls (HC). Significant differences were found for the T1 and T2* values in several brain areas between PD and HC, suggesting that STAGE imaging is a convenient and powerful tool to investigate PD. |
| 3035 | Assessing the differences in diffusion measures of basal ganglia and basal ganglia circuitry between controls and Parkinson’s disease patients | |
| Jae-Hyuk Shim1 and Hyeon-Man Baek1 | ||
1Gachon University, Incheon, Korea, Republic of |
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The MNI PD25 subcortical atlas, which consists of key structures involved in Parkinson’s disease, was automatically segmented on each 3T control and Parkinson’s disease diffusion data obtained from the Parkinson’s disease Progression Marker Initiative (PPMI) database. Diffusion measures such as FA, AD, RD, MD and QA were obtained from each segmented ROI and interconnectivity for comparison between controls and Parkinson’s disease patients to observe for significant biomarkers that occur in basal ganglia due to Parkinson’s disease. |
| 3036 | Exposure to Traffic-Related Particulate Matter Impact Motor Function and White Mater Integrity in Elder Rodent Model | |
| Ting-Chieh Chen1, Yu-Chun Lo2, Yi-Chen Lin1, Ssu-Ju Li1, Ting-Chun Lin1, Ching-Wen Chang1, Yao-Wen Liang1, Hsiao-Chi Chuang3, and You-Yin Chen1,2 | ||
1Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan, 2Ph.D. Program for Neural Regenerative Medicine, Taipei Medical University, Taipei, Taiwan, 3School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan |
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Exposure to air pollution was demonstrated to be correlated with the neurodegenerative disease showing the cognitive deficits, but the impacts on motor function has yet to be investigated. The motor behavioral test and diffusion magnetic resonance imaging (MRI) tractography analysis were applied to the traffic-related particulate matter (PM)-exposed models in this study. We found the decline in motor function and the destruction of the microstructure after exposed to traffic-related PM for 3 months, in which the structural alterations of motor control circuit were similar to the characteristic of the Parkinson's disease (PD). |
| 3037 | Excessive Brain Iron Deposition Detected by QSM in Extrapyramidal System in Parkinson's with Type 2 Diabetes Melitus Patients | |
| Wanyao Li1, Yanwei Miao1, Bingbing Gao1, Yangyingqiu Liu1, Ailian Liu1, and Qingwei Song1 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Type 2 diabetes melitus(T2DM) is associated with worse motor imbalance and cognitive decline in Parkinson’s disease.Abnormal cerebral iron deposition occur in extrapyramidal system in PD patients. However, whether the microscopic iron deposition will increase further in Parkinson’s patients with T2DM remains unknown. In this study, the iron deposition in extrapyramidal system measured QSM was compared between Parkinson's patients with T2DM (PDDM) and Parkinson's patients without T2DM (PDND).The increased magnetic sensitivity values (MSV) were found in most brain gray matter nucleus,especially for the left globus pallidus(GP) and bilateral substantia nigra(SN),in PDDM group rather than in PDND group. |
| 3038 | Brain white and gray matter alterations in early-stage Parkinson’s disease with GBA1 gene mutations evaluated using free water imaging | |
| Christina Andica1, Koji Kamagata1, Masahiro Abe1, Wataru Uchida1,2, Yuya Saito1, Hayato Nozaki1,2, Kaito Takabayashi1, Masaaki Hori3, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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Neuropathological mechanisms of Parkinson’s disease with GBA1 mutations (GBA-PD) are still unclear. We evaluated the white and gray matter of patients with early-stage GBA-PD using free water (FW) imaging. Patients with GBA-PD showed higher FW-corrected fractional anisotropy and lower FW-corrected mean diffusivity in the anterior thalamic radiation, forceps minor, and uncinate fasciculus, reflecting compensatory reorganization of neural circuits. Meanwhile, neuroinflammation (indexed by higher FW) was detected in the substantia nigra pars compacta (SNpc; Braak stage III), temporal mesocortex (Braak stage IV), forceps major, and cingulum cingulate gyrus. Furthermore, FW in the SNpc was positively correlated with the motor assessment scale. |
| 3039 | Evidence on the association between executive functions and tractography-derived nodal properties in Parkinson's disease | |
| Giacomo Tomezzoli1,2, Lisa Novello2, Francesca Saviola2, Stefano Tambalo2, Beatrice Federica Luciani2, Enrica Pierotti2, Céline Charroud 2, Alessandro Gober2, Francesca Giacomoni2, Pamela Narduzzi2, Claudia Meli2, Marika Falla2, Alessandra Dodich2, Luca Turella2, Costanza Papagno2, and Jorge Jovicich2 | ||
1DiPSCo, Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy, 2CIMeC, Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy |
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Executive functions (EFs) play a crucial role for intact cognitive functioning, and their decline in Parkinson’s Disease (PD) patients is associated with decreased quality of life. We investigated the relationship between tractography-derived nodal properties in 8 brain regions involved in cognitive sub-components of executive control and EFs performance. We found preliminary evidence that graph-theory-derived nodal properties reveal associations with executive scores. As part of an ongoing longitudinal project, this initial evidence suggests that nodal metrics might be useful for investigating relationships between structural-connectivity properties and cognitive profiles in Parkinson’s disease. |
| 3040 | Patient-specific hyperdirect pathway activation in DBS for Parkinson’s Disease | |
| Alba Segura Amil1,2 and T. A. Khoa Nguyen1,2 | ||
1Department of Neurosurgery, Inselspital, University Hospital Bern, Bern, Switzerland, 2ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland |
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Deep brain stimulation in the subthalamic nucleus is an effective treatment in advanced Parkinson’s disease. The aim of the current study was to determine an activation threshold of the hyperdirect pathway that results in the control of motor symptoms while avoiding the appearance of side effects. Patient-specific whole brain tractograpy, DBS leads reconstruction, and generation of volumes of tissue activated were performed in 9 subjects. The effect threshold was at 20% of hyperdirect pathway activation, while the side effect threshold was at 2% of corticospinal tract activation. |
| 3041 | Brain structure network mediating the association between iron deposition and progression of Parkinson Disease | |
| Bingxue Cheng1, Chenfei Ye2, and Ting Ma1,2,3 | ||
1Department of Information and Electronics, Harbin Institute of Technology at Shenzhen, GuangDong Province, China, 2Peng Cheng laboratory, Guangdong Province, China, 3National Clinical Research Center for Geriatric Disorders, Beijing, China |
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Our study integrated a high angular resolution diffusion imaging (HARDI) and Quantitative susceptibility mapping (QSM) to clarify whether the disease-specific patterns of the associated between iron deposits and the progress of PD are affected by the structural network. In brain sturctural network of PD, we observed that the increased small-worldness and decreased rich-club coefficients significantly mediate the association between the mean QSM value in left putamen and H&Y scale by using the causal mediation analysis. |
| 3042 | Abnormal intrinsic brain functional network dynamics associated with tremor in Parkinson’s disease | |
| Junlan Zhu1, Guanxun Cheng1, Qiaoling Zeng1, Chao Lai1, Jiao Li1, and Shuwen Dong1 | ||
1Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China |
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By applying group information guided independent component analysis to fMRI data, the dFNCs of each subject were estimated using a sliding window method and k-means clustering. Four dynamic functional states were identified. Interestingly, our study found that dwell time in State I was positively correlated with resting tremor scors in TD-PDs dFNC strength between BG and vSMN in State3 had significant positive correlation with MDS-UPDRS-III score in PD patients. Our study indicates that tremor in Parkinson’s disease is characterized by altered dFNC strength and temporal properties in dynamic connectivity, which provides a new insight into the pathological of Parkinsonian tremor. |
| 3043 | Motor Cerebro-Cerebellar Networks Breakdown Among Different Subtypes of Parkinson’s Disease | |
| Silvia Basaia1, Federica Agosta1,2,3, Alessandro Francia1, Camilla Cividini1,3, Tanja Stojkovic4, Iva Stankovic4, Rosita Di Micco1, Luigi Albano1, Elisabetta Sarasso1, Noemi Piramide1,3, Vladana Markovic4, Elka Stefanova4, Vladimir S. Kostic4, and Massimo Filippi1,2,3,5,6 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Vita-Salute San Raffaele University, Milan, Italy, 4Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Italy, 5Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 6Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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We investigated the functional neural organization of the motor cerebro-cerebellar system in Parkinson’s disease (PD) patients with tremor-dominant (TD) or postural instability and gait disorder (PIGD) variant. A seed-cerebellar region (lobule VI of cerebellum) was defined based on motor task-based functional MRI in healthy controls. Functional connectivity was found to be disrupted in both PD subgroups between cerebellum, thalamus and default-mode regions. We identified different localization of functional over‐connectivity, PD-PIGD within inferior frontal gyrus and insula, while PD-TD in orbitofrontal gyrus. This study might provide novel insight into the underlying pathophysiological mechanism in PD subtypes. |
| 3044 | Diffusion Tensor Imaging and Tractography in Deep Brain Stimulation Postoperative Patients with Parkinson's Disease | |
| Yan Li1, Yu Liu1, Naying He1, Chencheng Zhang2, Yijie Lai2, Hongyang Li2, Qing Li3, Caixia Fu4, Fuhua Yan1, and Ewart Mark Haacke1,5 | ||
1Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 2Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 3MR Collaborations, Siemens Healthcare Ltd., Shanghai, China, 4MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5Department of Radiology, Wayne State University, Detroit, MI, United States |
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Preliminary evidence supports the safety of diffusion weighted tractography in postoperative patients with deep brain stimulation. Here we further test the feasibility in both DBS-on and DBS-off status. Both DBS ON and OFF diffusion weighted imaging are safe and the tractography results are significantly comparable. Furthermore, we found that the nigrostriatal pathway's deterministic tractography is feasible. Our results highlight that DBS ON DTI is particularly fitting for those patients who cannot control their disease symptoms without stimulation but need MRI. |
| 3245 | Classification Between Epilepsy Patients and Healthy Controls Using Multi-Modal Structure-Function Brain Network | |
| Yael Jacob1, Gaurav Verma1, Lara Marcuse1, Madeline Fields1, and Priti Balchandani1 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Epilepsy patients (EP) endure harmful effects both on their health and quality of life. Early identification of these individuals would be incredibly helpful to gauge management and expectations. Implementing a novel multilayer network analysis, considering communication within functional and structural networks as well as the interactions between them, we tested whether this whole-brain comprehensive network hierarchy can be used as predictors of epilepsy. Using multilayer network features as predictors in a machine learning algorithm we were able to classify EP and controls with overall accuracy of 84%, demonstrating the applicability of multi-modal imaging for diagnostics of epilepsy. |
| 3246 | No-Reference Quality Assessment of MRIs for Clinical Application | |
| Ke Lei1, Shreyas Vasanawala2, and John Pauly1 | ||
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States |
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We proposed a CNN model that automatically assesses image quality within seconds after a scan is finished to reduce the number of patient recalls and inadequate images. Our model is deployed to the clinics where it alerts technicians to take action for low-quality images while the patient is still in the scanner. Our model achieves super-human performance on assessing perceptual noise level in 2D fast spin echo (FSE) MRIs. It can also be used to automatically guide other computational processes, like training of a denoising model or choice of a regularization weight for reconstruction. |
| 3247 | Importance of Clinical MRI Features in Predicting Epilepsy Drug Treatment Outcome for Pediatric Tuberous Sclerosis Complex | |
| Jun Yang1,2, Cailei Zhao3, Shi Su4, Zhanqi Hu5, Jianxiang Liao5, Dong Liang1,2,4, and Haifeng Wang2,4 | ||
1Research Centre for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, China, 4Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 5Department of Neurology, Shenzhen Children’s Hospital, Shenzhen, China |
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Predicting epilepsy drug treatment outcome is important for treating children with tuberous sclerosis complex (TSC). Here, the best performing model was selected to explore the contribution of the features, using permutation importance (PIMP). An approach similar to PIMP was used to compare the magnetic resonance imaging (MRI) and non-MRI features. The best model multilayer perceptron (MLP) with a hidden layer size of 60 and 30 features selected by F-test achieved the best performance. The results based on 103 children patients showed that some features were more important than others, and MRI features contributed more than non-MRI features in prediction. |
| 3248 | Brain tissues have single-voxel signatures in multi-spectral MRI | |
| Alexander German1, Angelika Mennecke1, Jan Martin2, Jannis Hanspach1, Andrzej Liebert1, Jürgen Herrler1, Tristan Anselm Kuder3, Manuel Schmidt1, Armin Nagel1, Michael Uder1, Arnd Dörfler1, Jürgen Winkler1, Moritz Zaiss1,4, and Frederik Laun1 | ||
1University Hospital Erlangen, Erlangen, Germany, 2Lund University, Lund, Sweden, 3German Cancer Research Center, Heidelberg, Germany, 4Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
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We acquired diffusion-weighted and CEST data of the brain of 38 healthy volunteers. A MPRAGE and SWI based segmentation into 102 brain regions revealed unique diffusion and chemical MR signals on average. More importantly, we could infer these tissue classes form individual voxel data using a neural network. The revival of this old paradigm for tissue characterization from the 1990s points to the fact that unique MR signals of different brain regions exist and can be used to determine the tissue type voxel-wise. The approach as such is general and could unify the ever-growing diversity of MR contrasts. |
| 3249 | Deep Learning Approach for Lumbosacral Plexus Segmentation from Magnetic Resonance Neurography: Initial Study | |
| Jian Wang1, Guohui Ruan2,3, Yingjie Mei4, Yanjun Chen1, Jialing Chen1, Yanqiu Feng2,3, and Xiaodong Zhang1 | ||
1Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China, 2Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, 3School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 4China International Center, Philips Healthcare, Guangzhou, China |
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Accurate regional segmentation of the Lumbosacral Plexus (LSP) on magnetic resonance neurography (MRN) images is a fundamental requirement before LSP related disorders diagnosis can be achieved. In this paper, we utilize U-Net to segment LSP trunk and branch from three-dimensional fast field echo(3D-FFE) with principle of selective excitation technique (Proset) images. The results show that a U-Net deep learning framework expresses highly performance and less time-consumption for LSP segmentation in patients with degenerative spinal diseases and healthy subjects. |
| 3250 | Differentiating hemorrhage and vasculature ITSS in SWI-magnitude images in intracranial Glioma: machine-learning and radiomic based approach | |
| Rupsa Bhattacharjee1,2, Rakesh Kumar Gupta3, Suhail P Parvaze4, Rana Patir5, Sandeep Vaishya5, Sunita Ahlawat6, and Anup Singh1,7 | ||
1Center for Biomedical Engineering, Indian Institute of Technology (IIT) Delhi, New Delhi, India, 2Philips Health Systems, Philips India Limited, Gurugram, India, 3Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 4Philips Health Systems, Philips Innovation Campus, Bangalore, India, 5Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India, 6SRL Diagnostics, Gurugram, India, 7Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India |
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Intra-tumoral-susceptibility-signal (ITSS) has been increasingly proven to play a major role in glioma grading, progression assessment and follow-up. Quantitative ITSS assessment involves segmentation of ITSS from SWI images, separating vasculature ITSS from hemorrhage ITSS and finally quantifying the ITSS-vasculature-volume (IVV) to grade the glioma non-invasively. This study involves radiomic feature extraction, random-forest based feature selection and classification to indicate that radiomic features can significantly differentiate between 3Dvasculature and 3DHemorrhage mask regions in SWI-magnitude images. This is also one of the first studies that explores the vasculature and hemorrhage radiomic properties extracted from SWI-magnitude images through machine-learning in grade-IV GBM patients. |
| 3251 | Reduction of J-difference Edited Magnetic Resonance Spectroscopy Acquisition Times Using Deep Learning | |
| Roberto Souza1,2, Jordan McEwen3, Carissa Chung3, and Ashley D. Harris2,4 | ||
1Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, Calgary, AB, Canada, 3Biomedical Engineering, University of Calgary, Calgary, AB, Canada, 4Radiology, University of Calgary, Calgary, AB, Canada |
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Magnetic Resonance Spectroscopy (MRS) non-invasively acquires in-vivo data on the chemical composition of localized tissue samples. MRS acquisitions are lengthy because they often require the acquisition of several averages to obtain a spectrum with a sufficient signal to noise ratio (SNR). This issue is augmented in J-difference edited MRS in which the analyzed spectrum is generated as the difference between sub-spectra in which editing pulses have been applied to selectively refocus the coupling of the target metabolite. In this work, we investigate the reduction of J-difference edited MRS acquisition times using deep learning. |
| 3252 | Defacing and Refacing Brain MRI Using a Cycle Generative Adversarial Network | |
| Zuojun Wang1, Peng Xia1, Wenming Cao2, Kui Kai, Gary Lau1, Henry Ka Fung Mak3, and Peng Cao1 | ||
1Diagnostic Radiology, Department of Diagnostic Radiology, HKU, Hong Kong, China, 2Department of Diagnostic Radiology, HKU, HongKong, China, 3Department of Diagnostic Radiology, HKU, Hong Kong, China |
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MRI anonymizations, including face removal, are necessary for clinical data archiving and sharing. Segmentation based methods have been developed for semi-automated face removal on brain MRI. Meanwhile, the conventional methods are inefficient and unreliable, as the images have to be pre-processed and fed in the software manually. Deep learning-based methods are highly efficient in image-to-image translation on large scale databases. In this study, we utilized a cycle generative adversarial network to anonymize brain MRI data. The model showed reliable performance when testing on T1-weighted images, and we also extend it to the unseen MPRAGE images, targeting different brain MRI contrasts. |
| 3253 | Deep Image Synthesis for Extraction of Vascular and Gray Matter Metrics | |
| Farnaz Orooji1, Xinyang Wang1, Mohammed Ayoub Alaoui Mhamdi1, and Russell Butler1 | ||
1Computer Science, Bishop's University, Sherbrooke, QC, Canada |
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One of the main strengths of MRI is the wide range of soft tissue contrasts which can be obtained using different sequence parameters. T1-weighted-images provide exquisite contrast between gray/white matter but fail to capture arterial vessels. Here we experiment with deep-learning for image synthesis, to synthesize a time-of-flight-(TOF) angiogram based on T1 contrast image. We then compare arterial diameters from synthesized TOF with ground-truth-TOF diameters. We also synthesize a T1 from a T2, and compare cortical metrics such as thickness, curvature etc. We show that it is possible to obtain vessel diameters from T1, and cortical thick/vol/curv measures from T2. |
| 3254 | Substantia Nigra Abnormalities in Early Parkinson’s Disease Patients using Convolutional Neural Networks in Neuromelanin MRI | |
| Rahul Gaurav1,2,3, Romain Valabregue1,2, Nadya Pyatigorskaya1,2,3,4, Lydia Yahia-Cherif1,2, Emma Biondetti1,2,3, Graziella Mangone2,5, R. Matthew Hutchison6, Jean-Christophe Corvol2,5,7, Marie Vidailhet2,3,7, and Stephane Lehericy1,2,3,4 | ||
1CENIR, ICM Paris, Paris, France, 2Paris Brain Institute (ICM), Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMR 7225, Paris, France, 3ICM Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France, 4Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France, 5INSERM, Clinical Investigation Center for Neurosciences, Pitié-Salpêtrière Hospital, Paris, France, 6Biogen Inc., Cambridge, MA, United States, 7Department of Neurology, APHP, Pitié-Salpêtrière Hospital, Paris, France |
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There is a need of accurate imaging biomarkers of dopaminergic cell neurodegeneration to facilitate drug trials in Parkinson’s disease (PD). PD demonstrates neurodegenerative substantia nigra pars compacta (SNc) changes that can be detected efficiently using neuromelanin-sensitive MRI. Characterizing neuromelanin signal variations using manual SNc segmentation is an operator-dependent and time-consuming task. Hence, in this cross-sectional, observational, case-control study, we investigated neuromelanin SNc abnormalities in the early PD patients using convolutional neural network-based fully automatic segmentation of SNc. We found a highly significant difference in SNc volume and signal intensity between early PD and healthy volunteers. |
| 3255 | Deep learning based high resolution IVIM parameter mapping in lacunar infarction patients | |
| Hui Zhang1, Junqi Xu1, Xutong Kuang2, Shuai Xu2, Xuchen Yu1, Weibo Chen3, Chengyan Wang2, and He Wang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China |
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This study aimed to propose a reliable deep learning based high resolution intravoxel incoherent motion (IVIM) parameter mapping for the assessment of lacunar infarction patients. |
| 3256 | Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study | |
| Maira Siqueira Pinto1,2, Stefan Winzeck3,4, Marta M. Correia5, Evgenios N. Kornaropoulos4,6, David K. Menon4, Ben Glocker3, Arnold J. den Dekker2, Jan Sijbers2, Pieter-Jan Guns7, Pieter Van Dyck1, and Virginia F. J. Newcombe4 | ||
1Radiology, UZA - Antwerp University Hospital, Antwerpen, Belgium, 2imec-Vision Lab, University of Antwerp, Antwerpen, Belgium, 3BioMedIA Group, Department of Computing, Imperial College London, London, United Kingdom, 4Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, United Kingdom, 5MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom, 6Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden, 7Physiopharmacology, University of Antwerp, Antwerpen, Belgium |
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Over 40% of patients after a mild traumatic brain injury (mTBI) may have persisting symptoms. This study investigated a Support Vector Machine (SVM) approach for outcome prediction after mTBI from multi-modal MRI. The datasets included 77 mTBI patients from the CENTER-TBI study with acute T2w, SWI, FA and MD scans and outcome scores six month post-injury. Benefits of data harmonization were tested and Z-scoring reduced site-specific biases yielding 67.7% prediction accuracy. Our data-driven approach revealed that predictive signal was retrieved mainly from diffusion maps rather than conventional images, and was located in the superior fronto-occipital fascicle and the corticospinal tract. |
| 3257 | Synthesize Quantitative Susceptibility Mapping from Susceptibility Weighting Imaging Using a Cycle Generative Adversarial Network | |
| Zuojun Wang1, Peng Xia1, Henry Ka Fung Mak2, and Peng Cao1 | ||
1Diagnostic Radiology, Department of Diagnostic Radiology, HKU, Hong Kong, China, 2Department of Diagnostic Radiology, HKU, Hong Kong, China |
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Quantitative susceptibility mapping (QSM) obtained from the MRI phase images is valuable in neurological disease diagnoses. Meanwhile, the role of thumb MRI scan probing susceptibility contrast is susceptibility weighting imaging (SWI), which might contain blooming artifacts that would affect the hypointensity appearance. Many conventional methods have been developed for QSM reconstruction, including the deep learning-based approach that is applicable in clinical diagnoses. Here, we apply the cycle generative adversarial network with a perceptual loss to synthesize QSM images from SWI images. The predicted QSM images showed their application in brain microbleed detection. |
| 3258 | Diagnosis of Parkinson’s disease using a radiomics approach based on STrategically Acquired Gradient Echo (STAGE) | |
| Yi Duan1, Yida Wang1, Naying He2, Yan Li2, Zenghui Cheng2, Yu Liu2, Zhijia Jin2, Pei Huang3, Shengdi Chen3, Ewart Mark Haacke2,4, Fuhua Yan2, and Guang Yang1 | ||
1East China Normal University, Shanghai Key Laboratory of Magnetic Resonance, Shanghai, China, 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States |
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Diagnosing Parkinson’s disease (PD) is still a clinical challenge. Deep grey matter is involved in the pathophysiological changes of PD. We built a radiomics model to distinguish PD from normal controls (NC) based on five brain nuclei in multiple quantitative images derived from STrategically Acquired Gradient Echo (STAGE) imaging. This model combined features from the caudate nucleus, globus pallidus, putamen, red nucleus, and substantia nigra regions in QSM, T1and proton density maps and achieved a test AUC of 0.948. Features from the SN region as seen in the QSM images were found to be the most important ones for classification. |
| 3259 | Prognostic value of MR imaging features derived from automatic segmentation in glioblastoma | |
| Quan Dou1, Xue Feng1, Sohil Patel2, and Craig H. Meyer1 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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Non-invasive MRI-based survival prediction for glioblastoma patients is potentially valuable for informing prognostic and treatment counseling. In this study, we analyzed the relationships between overall survival and several automatic segmentation-based MR imaging features. Simple logistic regression models to classify 1-year survival with clinical factors and selected imaging features were trained and tested. Results showed that combining imaging features with clinical factors improved the survival prediction. |
| 3260 | Neural Network for Autonomous Segmentation and Volumetric Assessment of Clot and Edema in Intracerebral Hemorrhages | |
| Thomas Lilieholm1, Matt Henningsen2, Azam Ahmed3, Alan McMillan1,4, and Walter F Block1,4,5 | ||
1Medical Physics, University of Wisconsin at Madison, Madison, WI, United States, 2Electrical Engineering, University of Wisconsin at Madison, Madison, WI, United States, 3Neurological Surgery, University of Wisconsin at Madison, Madison, WI, United States, 4Radiology, University of Wisconsin at Madison, Madison, WI, United States, 5Biomedical Engineering, University of Wisconsin at Madison, Madison, WI, United States |
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Previous work has shown that minimally-invasive reduction of hematoma volume in intracerebral hemorrhage to a threshold of 15mL is indicative of improved long term patient outcome. To attain this goal, image-guided minimally-invasive surgical techniques are applied to both lyse clot material and drain from the site of hemorrhage via a porous catheter. We propose a Convolutional Neural Network to identify and autonomously segment clot and peripheral edema in MR images of the brain for volumetric analysis, and image-guidance during evacuation. Quantitative measurements produced in this way can be used for superior clot visualization and direct measurement of remaining clot volume. |
| 3261 | A comparative study between multi-view 2D CNN and multi-view 3D anisotropic CNN for brain tumor segmentation | |
| Ritu Lahoti1, Lakshay Agarwal1, Neelam Sinha1, and Vinod Reddy1 | ||
1International Institute of Information Technology Bangalore (IIITB), Bengaluru, India |
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Brain tumor segmentation is one of the challenging image segmentation problem. Among the various architectures of CNN used for brain tumor segmentation from MRI images, we compare multi-view 2D CNN and multi-view 3D anisotropic CNN on the popular BraTS dataset. We computed four metrics to measure their performance on 10 test data. The first approach showed a mean sensitivity of 0.816 whereas second approach outperforms with mean sensitivity of 0.9217. Other metrics for both approaches achieved comparable results. Although both approaches consider all orthogonal planes, anisotropic CNN takes into account both global and local features efficiently thereby giving better results. |
| 3262 | Machine Learning Automatic Segmentation of Spinal Cord Lesions in Multiple Sclerosis Patients | |
| Peter Hsu1, Sindhuja Govindarajan1, Nikhil Chettipally1, Lev Bangiyev2, Robert Peyster2, Giuseppe Cruciata2, Patricia Coyle2, Haifang Li2, Hasan Saffiudin1, Ryan Merritt1, Eric Wei1, Almighty Ironnah1, and Kwan Chen1 | ||
1Stony Brook University, Stony Brook, NY, United States, 2Stony Brook University Hospital, Stony Brook, NY, United States |
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Multiple Sclerosis lesions in the spinal cord are associated with more debilitative disease outcomes and have predictive value for prognosis and diagnosis. However, these lesions are difficult to detect from MRI scans and this process is susceptible to inter-rater and intra-rater variability. Machine Learning techniques have the ability to assist in this problem. We propose a Convolutional Neural Network that can perform accurate identification and segmentation of MS lesions in the spinal cord. This method achieves high overlap with the segmentations of attending radiologists and is robust to imaging artifacts, showcasing the potential to be a tool for clinical practice. |
| 3263 | What we can learn from adults: Usability of two AI algorithms for Brain and tumor segmentation in a pediatric population. | |
| Maxime DRAI1, GILLES BRUN1, Nadine GIRARD1,2, Benoit TESTUD1,3, and Jan-Patrick STELLMANN1,3 | ||
1Neuroradiology, APHM, Marseille, France, 2CRMBM-CEMEREM, Aix-Marseille Université, Marseille, France, 3CNRS, CRMBM-CEMEREM, UMR 7339, Aix-Marseille Université, Marseille, France |
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AI brain tumor segmentation and brain extraction algorithms are an essential step in image processing, however they are mainly developed in adults. Here, we aimed to explore the usability of these algorithms in a heterogenous pediatric population. In 42 brain pediatric tumor MRI, we compared manual mask with mask generated by the algorithms. Results were excellent for brain extraction, moderate for segmentation of contrast-enhancing tumors, and weak for non-enhancing T2-signal abnormalities. Some improvements are necessary to adapt this algorithm to pediatric brain tumors. However, borrowing strength from adults might be a feasible approach for AI implementation in rare pediatric populations. |
| 3264 | Deep-learning-based noise reduction incorporating inhomogeneous spatial distribution of noise in parallel MRI imaging | |
| Atsuro Suzuki1, Chizue Ishihara1, Yukio Kaneko1, Tomoki Amemiya1, Yoshitaka Bito1, and Toru Shirai1 | ||
1Healthcare Business Unit, Hitachi, Ltd., Kokubunji-shi, Japan |
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To reduce inhomogeneous noise caused by parallel imaging, we developed a deep-learning-based noise reduction method that incorporates spatial distribution of noise. For noise distribution we used a g-factor map segmented into high and low g-factor regions. We reduced the noise by using a different optimized network in each region. Finally, a denoised image was generated by combining the two denoised regions. Denoised brain images demonstrated improved signal to noise ratio (SNR) and mean square error (MSE) between denoised and full sampling images throughout the brain regions. Our method was able to reduce the inhomogeneous noise proportional to the noise intensity. |
| 3265 | Stratifying ischaemic stroke patients across 3 treatment windows using T2 relaxation times, ordinal regression and cumulative probabilities | |
| Bryony L. McGarry1,2, Elizabeth Hunter1, Robin A. Damion2, Michael J. Knight2, Philip L. Clatworthy3, George Harston4, Keith W. Muir5, Risto A. Kauppinen6, and John D. Kelleher1 | ||
1PRECISE4Q Predictive Modelling in Stroke, Information Communications and Entertainment Institute, Technological University Dublin, Dublin, Ireland, 2School of Psychological Science, University of Bristol, Bristol, United Kingdom, 3Stroke Neurology, North Bristol NHS Trust, Bristol, United Kingdom, 4Acute Stroke Programme, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 5Institue of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom, 6Faculty of Engineering, University of Bristol, Bristol, United Kingdom |
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Unknown onset time is a common contraindication for anti-thrombolytic treatment of ischaemic stroke.T2 relaxation-based signal changes within the lesion can identify patients within or beyond the 4.5-hour intravenous thrombolysis treatment-window. However, now that intra-arterial thrombolysis is recommended between 4.5 and 6 hours from symptom onset and mechanical thrombectomy is considered safe between 6 and 24 hours, there are three treatment-windows to consider. Here we show a cumulative ordinal regression model, incorporating the T2 relaxation time, predicts the probabilities of a patient being within one of the three treatment-windows and is more accurate than signal intensity changes from T2 weighted images. |
| 3266 | Distribution indices of QSM values in M1 enable to classify ALS patients and healthy controls | |
| Mauro Costagli1,2, Graziella Donatelli3,4, Paolo Cecchi3,4, Gabriele Siciliano4,5, and Mirco Cosottini3,4,5 | ||
1University of Genova, Genova, Italy, 2IRCCS Stella Maris, Pisa, Italy, 3IMAGO 7 Research Foundation, Pisa, Italy, 4Azienda Ospedaliero Universitaria Pisana, Pisa, Italy, 5University of Pisa, Pisa, Italy |
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The Primary Motor Cortex (M1) in Amyotrophic Lateral Sclerosis (ALS) patients and healthy controls (HC) has a different appearance in Quantitative Susceptibility Mapping (QSM) images. The purpose of this study was to identify a set of distribution indices of QSM values in M1 that enable to better classify ALS patients and HC. Taken individually, the mean value, standard deviation, skewness and kurtosis of the QSM value distributions enabled to obtain diagnostic accuracies 0.43 < A < 0.78. When the distribution indices were jointly used in support vector machine (SVM) classifiers, it was possible to achieve a diagnostic accuracy of 0.90. |
| 3267 | 4D flow MRI hemodynamic quantification of pediatric patients with multi-site, multi-vender, and multi-channel machine learning segmentation | |
| Takashi Fujiwara1, Haben Berhane2,3, Michael Baran Scott3, Zachary King2, Michal Schafer4, Brian Fonseca4, Joshua Robinson3, Cynthia Rigsby2,3, Lorna Browne4, Michael Markl3, and Alex Barker1,5 | ||
1Department of Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 2Lurie Children's Hospital of Chicago, Chicago, IL, United States, 3Northwestern University, Evanston, IL, United States, 4Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 5Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, CO, United States |
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A convolutional neural network (CNN) is presented to quantify 4D flow MRI-based hemodynamics using automated segmentation of the proximal vasculature. The intent is to reduce time and user variability for cumbersome 4D flow MRI analyses; however, the pediatric setting is challenging given the complex arterial geometry often seen in congenital heart diseases. Multi-site and -vender datasets were used to train a CNN for 3D segmentation. Flow quantification was conducted with the automated segmentations to test if datasets from multiple institutions and vendors improves flow quantification. We found the multi-site approach improved flow measurements in the setting of complex disease. |
| 3268 | Delineating parkinsonian disorders using T1-weighted MRI based radiomics | |
| Priyanka Tupe Waghmare1, Archith Rajan2, Shweta Prasad3, Jitender Saini4, Pramod Kumar Pal5, and Madhura Ingalhalikar6 | ||
1E &TC, Symbiosis Institute of Technology, Pune, India, 2Symbiosis Centre for Medical Image Analysis, Symbiosis Centre for Medical Image Analysis, Pune, India, 3Department of Clinical Neurosciences and Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, 4Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India, 5Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, 6Symbiosis Center for Medical Image Analysis and Symbiosis Institute of Technology, Pune, India |
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Parkinson’s disease (PD), multiple system atrophy (MSA), and progressive supra-nuclear palsy (PSP) are neurodegenerative disorders which have parkinsonism as a core clinical feature. In the early stages PD and atypical parkinsonian syndrome (APS) (MSA and PSP) may often be indistinguishable and differential diagnosis is therefore crucial. Our work employs radiomics based features extracted from standard T1 weighted MRI images that are used in a machine learning framework to differentiate PD from APS. Results demonstrate a superior test accuracy of 92% that support our underlying hypothesis that radiomics on T1-weighted images can provide a discriminatory feature space between PD and APS. |
| 3269 | Automatic segmentation of arterial vessel wall on undersampled MR image using deep learning | |
| Shuai Shen1,2,3,4, Xiong Yang5, Jin Fang6, Guihua Jiang6, Shuheng Zhang5, Yanqun Teng5, Xiaomin Ren5, Lele Zhao5, Jiayu Zhu5, Qiang He5, Hairong Zheng1,3,4, Xin Liu1,3,4, and Na Zhang1,3,4 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 2College of Software, Xinjiang University, Urumqi,, China, 3Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 4CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 5Shanghai United Imaging Healthcare Co., Ltd., shanghai, China, 6Department of Radiology, Guangdong Second Provincial General Hospital, guangdong, China |
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A total of 124 patients were included in this study. We used U-net neural network architecture to segment the arterial vessel wall on original acquired MR vessel wall images and the corresponding images reconstructed from undersampled K-space data. The Dice coefficients based on the original K-space data, the K-space data with a sampling rate of 7.7%, and K-space data with a sampling rate of 1.9% were 88.66%, 88.19%, and 87.66%, respectively. The effectiveness of arterial vessel wall segmentation on undersampled images using U-net network was verified. The result demonstrated the potential to improve the acceleration performance of MR imaging. |
| 3270 | Automatic Vascular Function Estimation using Deep Learning for Dynamic Contrast-enhanced Magnetic Resonance Imaging | |
| Wallace Souza Loos1,2, Roberto Souza2,3, Linda Andersen1,2, R. Marc Lebel2,4, and Richard Frayne1,2 | ||
1Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 2Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, AB, Canada, 3Electrical and Computer Engineering, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4General Electric Healthcare, Calgary, AB, Canada |
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Dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging is an important clinical tool for investigating the cerebrovascular microcirculatory systems including the blood-brain barrier through estimation of perfusion and permeability maps. However, a vascular function is needed to generate these maps. The estimation is usually performed manually, potentially leading to error, and is also time-consuming. In this work, we designed a deep learning model that leverages the temporal and spatial information from a time series of DCE-MR images to estimate the vascular function automatically. Our model was able to generalize well for unseen data and achieved good overall performance. |
| 3271 | Pattern-based features extraction algorithm in the diagnosis of neurodegenerative diseases from diffusion MRI | |
| Sung-han Lin1, Chih-Chien Tsai1, Yi-Chun Chen2,3, and Jiun-Jie Wang1 | ||
1Department of Medical Imaging and Radiological Sciences, Chang-Gung University, TaoYuan, Taiwan, 2Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, TaoYuan, Taiwan, 3College of Medicine, Chang Gung University, TaoYuan, Taiwan |
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Improvement of diagnosis in patients with Mild Cognitive Impairment (MCI) would help in the early diagnosis of Alzheimer's Disease (AD), since MCI was known as the transition state from normal aging to AD. We developed a novel feature extraction algorithm, which was based on the disease clinical-pathological understanding and combined with the spatial information between disease affected pattern and its surrounding regions. This novel feature set demonstrated improved diagnostic performance, compared to the conventional feature set, especially for the MCI patients. In addition, the identified disease affected pattern corresponded with the postmortem pathology of amyloid deposition in AD patients. |
| 3272 | WITHDRAWN |
| 3273 | Early prediction of progression free survival and overall survival of patients with glioblastoma using machine learning and multiparametric MRI | |
| Nate Tran1,2, Tracy Luks1, Devika Nair1, Angela Jakary1, Yan Li1, Janine Lupo1, Javier Villanueva-Meyer1, Nicholas Butowski3, Jennifer Clarke3, and Susan Chang3 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, SAN FRANCISCO, CA, United States, 2UCSF/UC Berkeley Graduate Program in Bioengineering, SAN FRANCISCO, CA, United States, 3Department of Neurological Surgery, University of California, San Francisco, SAN FRANCISCO, CA, United States |
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This study evaluates the predictive power of multi-parametric MRI at pre-therapy and mid-RT time points in predicting progression-free and overall survival of patients with glioblastoma (GBM). We trained and tested random forest models using metabolic, perfusion, and diffusion images at both preRT and midRT scans, and found that not confining these metrics to the anatomical lesion boundaries improved outcome prediction. The CEL volume mid-RT and type of treatment were among the most important features in predicting PFS, while the T2L volume and metabolic metrics at pre-RT were more relevant for OS prediction. |
| 3274 | Exploring Brain Regions Involved in Working Memory using Interpretable Deep Learning | |
| Mario Serrano-Sosa1, Jared Van Snellenberg2, and Chuan Huang2,3 | ||
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States, 3Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States |
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Although deep learning algorithms are a novel method for neuroimage analysis, at times they are used as a “black box” for classification task. Therefore, it is crucial to develop methods to comprehend the abstract features used for prediction. We have developed an interpretable deep learning algorithm to predict working memory scores from fMRI data; wherein prediction performance was compared to Kernel Ridge Regression, a traditional machine learning approach. Across all metrics of evaluation, our method outperformed KRR. Moreover, our method was able to create averaged saliency maps highlighting regions most predictive of working memory scores. |
| 3275 | Multi-layer backpropagation of classification information with Grad-CAM to enhance the interpretation of deep learning models | |
| Daphne Hong1 and Yunyan Zhang1 | ||
1University of Calgary, Calgary, AB, Canada |
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Deep learning is becoming increasingly important in medical imaging analysis, but the ability to interpret deep learning models still lag behind. Here, based on a promising method, gradient-weighted class activation mapping (Grad-CAM), we developed new approaches to interpret arbitrary layers of a convolutional neural network (CNN). Further, using two common CNN models trained to classify brain MRI scans into 3 types, we demonstrated the promise of our new strategy. Characterizing features at low and high levels of a CNN may provide new biomarkers and new insight into disease mechanisms, deserving further validation. |
| 3276 | Improved Outcome prediction in mild Traumatic Brain Injury using Latent Feature Extraction from Volumetric MRI | |
| Sanjay Purushotham1, Ashwathy Samivel Sureshkumar1, Li Jiang2, Shiyu Tang2, Steven Roys2, Chandler Sours Rhodes2,3, Rao P. Gullapalli2, and Jiachen Zhuo2 | ||
1Department of Information System, University of Maryland, Baltimore County, Baltimore, MD, United States, 2Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 3National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, United States |
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Mild traumatic brain injury (mTBI) patients account for more than 70% of all TBI, with a subset experiencing persistent post concussive symptoms more than 3 months post injury. Patients clinical presentation and conventional imaging findings acutely post injury often lack the ability to predict chronic outcome. In this study, we present a novel method for latent feature extraction from volumetric MRI. We show that with machine learning methods, these acute latent volumetric MRI features are able to improve our symptom prediction in mTBI patients at 18 months post injury. |
| 3277 | Prediction of iron rim lesions in multiple sclerosis using convolutional neural networks and multi-contrast 7T MRI data | |
| René Schranzer1,2, Steffen Bollmann3, Simon Hametner2, Christian Menard1, Siegfried Trattnig4, Fritz Leutmezer2, Paulus Stefan Rommer2, Thomas Berger2, Assunta Dal-Bianco2, and Günther Grabner1,2,4 | ||
1Department of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria, 2Department of Neurology, Medical University of Vienna, Vienna, Austria, 3School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 4Department of Biomedical Imaging and Image-guided Therapy, High Field Magnetic Resonance Centre, Vienna, Austria |
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In multiple sclerosis (MS) the presence of paramagnetic iron rim lesions has been shown to be indicative for progression with a more severe disease course. Our goal was to develop a pipeline based on neural networks to automatically detect, segment and classify lesions as either non-iron or iron loaded using multi-contrast 7T MRI data. A patch-based approach with two modified u-net architectures was used for segmentation and classification. Automatic, high quality lesion segmentation and their classification based on the presence or absence of iron-rims is enabled using convolutional neural networks. |
| 3278 | MRI-ASL Perfusion patterns may predict deep brain stimulation outcome in de novo Parkinson’s Disease | |
| Hanyu Wei1, Le He1, Rongsong Zhou2, Shuo Chen1, Miaoqi Zhang1, Wenwen Chen1, Xuesong Li3, Yu Ma2, and Rui Li1 | ||
1Center for biomedical imaging research, Tsinghua University, Beijing, China, 2Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China, 3School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China |
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Deep brain stimulation(DBS) is routine treatment in Parkinson’s disease(PD) but its outcome varies among patients. It’s of benefit to investigate predictive value of pre-operative MR perfusion patterns in DBS outcome. In this study, regional cerebral blood flow(CBF) were measured by ASL both medication “on” and “off” before DBS surgery. Machine learning models were applied to select features and to predict the DBS outcome. Pre-operative MR perfusion patterns shows valuable to predict the DBS outcome in de novo PD patients. The Ridge regression performed best with good correlation(r=0.87，p<0.001) and good agreement with the measured DBS outcome at error level of 9.0%. |
| 3279 | Using MRI and Radiomics to Predict Pain in a Cohort of Trigeminal Neuralgia Patients Treated With Radiosurgery | |
| Kellen Mulford1, Sean Moen2, Andrew W. Grande2, Donald R. Nixdorf3, and Pierre-Francois Van de Moortele1 | ||
1Center for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, 3Department of Diagnostic and Biological Science, University of Minnesota, Minneapolis, MN, United States |
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Due to a lack of objective markers, trigeminal neuralgia is difficult to diagnose and classify. This difficulty results in frequent pain recurrences following medication and invasive therapies. In this work, we show that a radiomics based model with features extracted from MRI images can be used to identify painful nerves. Using a cohort of trigeminal neuralgia patients, our predictive model achieves an accuracy of 78% and an AUC of 0.84 in distinguishing between nerves affected and nonaffected by trigeminal neuralgia. |
| 3280 | Stacked hybrid learning U-NET for segmentation of multiple articulators in speech MRI | |
| SUBIN ERATTAKULANGARA1, KARTHIKA KELAT2, JUNJIE LIU3, and SAJAN GOUD LINGALA1,4 | ||
1Roy J Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States, 2Government Engineering College Kozhikode, Kozhikode, India, 3Department of Neurology, University of Iowa, Iowa City, IA, United States, 4Department of Radiology, University of Iowa, Iowa City, IA, United States |
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We propose a stacked U-NET architecture to automatically segment the tongue, velum, and airway in speech MRI based on hybrid learning. Three separate U-nets are trained to learn the mapping between the input image and their specific articulator. The two U-NETs to segment the velum, and tongue are based on transfer learning, where we leverage open-source brain MRI segmentation. The third U-NET for airway segmentation is based on classical training methods. We demonstrate the utility of our approach by comparing against manual segmentations. |
| 3281 | Use scout models for effective dimension reduction and feature selection in radiomics study | |
| Yibo Dan1, Hongyue Tao2, Yida Wang1, Chengxiu Zhang1, Chenglong Wang1, Shuang Chen2, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, shanghai, China, 2Department of Radiology, Huashan Hospital, Fudan University, shanghai, China |
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Radiomics has been used widely in image-based diagnosis and prognosis. Since radiomics studies often involve a small number of samples, effective dimension reduction and feature selection are crucial to the successful modeling. In this study, we proposed a heuristic method for effective dimension reduction and feature selection, which built a scout model for each category of features to select features from the category for the final model building. The approach was applied to the modeling with two different datasets, including the BraTS 2019 open data, and achieved results better than those of traditional methods on both datasets. |
| 3282 | EVALUATION OF A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATED SEGMENTATION OF LOW-GRADE GLIOMAS | |
| Margaux Verdier1,2, Justine Belko1, Jeremy Deverdun1, Nicolas Menjot de Champfleur1,3, Thomas Troalen2, Bénédicte Maréchal4,5,6, Emmanuelle Le Bars1, and Till Huelnhagen4,5,6 | ||
1I2FH , Neuroradiology, CHU Montpellier, Montpellier University, France, Montpellier, France, 2Siemens Healthcare, Saint Denis, France, 3Laboratoire Charles Coulomb, University of Montpellier, France, Montpellier, France, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 5LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 6Radiology Department, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland |
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Tumor growth exceeding 8mm/year is the main indication for surgical intervention in low-grade gliomas (LGG). As manual growth assessment is very time-consuming, automated segmentation is desirable. We trained a Convolutional Neural Network (CNN) to segment LGG on 277 MRI-exams (T1+T2-FLAIR) and tested its performance on 9 unknown exams. The mean Dice Similarity Coefficient for automated segmentation was 0.72. The algorithm correctly segmented low T1 and high FLAIR values but tended to underestimate heterogeneous gliomas. Results were independent of cavity or tumor volume. Automated segmentation using CNNs seems promising for clinical practice. Performance might be improved using 3D FLAIR sequences. |
| 3283 | IMPROVING THE CONTRAST OF CEREBRAL MICROBLEEDS ON T2*-WEIGHTED IMAGES USING DEEP LEARNING | |
| Ozan Genc1, Sivakami Avadiappan1, Yicheng Chen2, Christopher Hess1, and Janine M. Lupo1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Facebook Inc., Mountain View, CA, United States |
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This study trains a deep convolutional neural network to learn the SWI contrast from T2*-weighted magnitude images using a LSGAN deep learning model and assesses the performance of the resulting network on CMB detection. Our predicted SWI images were able to improve CMB contrast over T2* magnitude images and minimize residual artifacts from standard SWI processing. |
| 3284 | Automatic Prediction of MGMT and IDH Genotype for Gliomas from MR Images via Multi-task Deep Learning Network | |
| Xiaoyuan Hou1,2, Hui Zhang1,2, Yan Tan3, Zhenchao Tang1,2, Hui Zhang3, and Jie Tian1,2 | ||
1Beijing Advanced Innovation Center for Big Data-Based Precision Medicine(BDBPM) ,Beihang University,100083, Beijing, China, 2Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences,100190, Beijing, China, 3Department of Radiology, First Clinical Medical College, Shanxi Medical University,030001, Taiyuan, China |
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In order to preoperatively predict the multiple genotype mutation for gliomas, we proposed an end-to-end multi-task deep learning model based on MR images analysis for simultaneously predicting IDH and MGMT mutation. Best-performed model was obtained by changing the number of sharing layers in the network, achieving accuracy of 79.78% for MGMT, 78.88% for IDH in the test dataset. Our results indicated that multi-task deep learning model provided a potential solution for simultaneously prediction of multiple genotype in gliomas. |
| 3441 | Application of QSM in SPIO - labeled stem cell transplantation in Beagles with acute spinal cord injury | |
| Junting Zou1, Jilei Zhang2, Zhao Xiance2, Yuanyuan Xie1, Bing Zhang1, and Xiaoli Mai1 | ||
1Nanjing Drum Tower Hospital, Nanjing, China, 2Philips Healthcare, Shanghai, China |
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Tracing and monitoring the growth of transplanted stem cells in vivo has become a focus of research. The purpose of this study is to realize the dynamic tracing of transplanted mesenchymal stem cells labeled with nano-iron(SPIO-huc-MSCs), and preliminarily explore the feasibility of indirect tracing of SPIO-huc-MSCs by QSM technology. The results show that susceptibility values in the areas containing iron are significantly different from those in the normal spinal cord, which indicates that the iron concentration in the injured area decreases gradually. By quantifying iron concentration, QSM technology can be used to dynamically trace SPIO labeled stem cells in vivo. |
| 3442 | Neurometabolic Analysis in Amyotrophic Lateral Sclerosis: A 1H-[13C]-NMR investigation | |
| Dipak Roy1 and Anant Bahadur Patel1 | ||
1NMR Microimaging and Spectroscopy Facility, Centre for Cellular and Molecular Biology, Hyderabad, India |
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In this study we have evaluated the neurometabolic activity of a transgenic (SOD1G37R) mouse model of ALS by 1H-[13C]-NMR spectroscopy together with an infusion of 13C labeled substrates (glucose/acetate). Reduced motor performance and abnormal gait were observed in 18-month old male SOD1G37R mice. The glutamatergic and GABAergic neurometabolic rates were decreased, while astroglial metabolic flux was increased in the spinal cord of the SOD1G37R mice. In contrast, neuronal and astroglial metabolic activities were increased in the cerebral cortex of these mice. |
| 3443 | 3D-MP2RAGE T1 mapping to characterize regional cervical spinal cord impairments in ALS and MS patients. | |
| Samira Mchinda1,2, Sarah Demortière3, Henitsoa Rasoanandrianina4, Claire Costes1,2, Jean Pelletier2,5, Shahram Attarian6, Aude-Marie Grapperon6, Bertrand Audoin2,5, Annie Vershueren6, and Virginie Callot1,2 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3APHM, Hôpital Universitaire Timone, Neurology Department, Marseille, France, 4Departement of Research and Innovation, Olea Medical, La Ciotat, France, 5. APHM, Hôpital Universitaire Timone, Neurology Department, Marseille, France, 6APHM, Hôpital Universitaire Timone, Reference Center for Neuromuscular Disorders and ALS, Marseille, France |
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The MP2RAGE sequence has never been applied for T1 quantification in the context of neurodegenerative spinal cord pathologies. In this study, the technique demonstrated good discrimination between WM and GM in healthy controls, better detection of cervical lesions in Multiple Sclerosis patients, and increased T1 values in corticospinal tracts of both Amyotrophic Lateral Sclerosis patients and MS patients , and lateral sensory tracts of MS patients. Very robust and compatible with clinical scan time, the MP2RAGE may be a technique of choice for longitudinal studies. |
| 3444 | Interpreting a machine learning model: radiomics in cervical spondylotic myelopathy postoperative recovery prediction | |
| Mengze Zhang1, Hanqiang Ouyang1, Dan Jing1, Jiangfang Liu1, Chunjie Wang1, Huishu Yuan1, and Liang Jiang1 | ||
1Peking University Third Hospital, Beijing, China |
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Previous studies have confirmed that conventional MRI parameters lack stability, and the evaluation of the prognosis of CSM sometimes is controversial. In our study, we first introduced radiomics, a quantitative analysis of image features, into the study of CSM and obtained a reliable and stable model. By analysis features' importance and unboxing the extremely randomized trees model, we came up with assumptions of the relationship between specific features and post-surgical recovery prediction. |
| 3445 | Characterizing 1-Year Development of Cervical Cord Atrophy Across Different MS Phenotypes: A Voxel-Wise, Multicenter Analysis | |
| Paola Valsasina1, Maria A. Rocca1,2,3, Claudio Gobbi4,5, Chiara Zecca4,5, Alex Rovira6, Xavier Montalban7, Hugh Kearney8, Olga Ciccarelli8, Lucy Matthews9, Jacqueline Palace9, Antonio Gallo10, Alvino Bisecco10, Achim Gass11, Philipp Eisele11, and Massimo Filippi1,2,3,12,13 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Vita-Salute San Raffaele University, Milan, Italy, 4Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland, 5Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland, 6Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d’Hebron, Barcelona, Spain, 7Department of Neurology/Neuroimmunology, Multiple Sclerosis Center of Catalonia, Hospital Universitari Vall d’Hebron, Barcelona, Spain, 8NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, 9Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 10Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 11Department of Neurology, Universitätsmedizin Mannheim, University of Heidelberg, Mannheim, Germany, 12Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 13Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Here, we used a longitudinal, voxel-wise analysis to characterize baseline cervical cord tissue loss and its progression over 1-year follow-up in a cohort of patients with multiple sclerosis (MS) acquired at 7 European sites. Results indicated that baseline cord atrophy was severe in MS patients vs controls, with a prevalent involvement of posterior/lateral regions of the upper cord, a differential effect across phenotypes and a strong correlation with disability. Cord atrophy significantly increased over time in all MS patients, was more widespread in relapsing-remitting MS than in other phenotypes and contributed to explain clinical disability at 1-year follow-up. |
| 3446 | Free Water Eliminated White Matter Tract Integrity of Spinal Cord in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder | |
| Masaaki Hori1,2, Kouhei Kamiya1,2, Akifumi Hagiwara2,3, Kazumasa Yokoyama4, Issei Fukunaga5, Katsuhiro Sano2, Koji Kamagata2, Katsutoshi Murata6, Shohei Fujita2, Christina Andica2, Akihiko Wada2, Julien Cohen-Adad7, and Shigeki Aoki2 | ||
1Radiology, Toho University Omori Medical Center, Tokyo, Japan, 2Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3Radiology, David Geffen School of Medicine, Los Angeles, CA, United States, 4Neurology, Juntendo University School of Medicine, Tokyo, Japan, 5Juntendo University School of Medicine, Tokyo, Japan, 6Siemens Japan K.K, Tokyo, Japan, 7NeuroPoly Lab, Polytechnique Montreal, Montréal, QC, Canada |
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We investigated free water eliminated kurtosis-based white matter tract integrity to distinguish microstructural changes in the spinal cords of patients with MS and Neuromyelitis Optica. FA was significant higher in spinal cord white matter in MS (P=0.0025). There was no significant difference in other diffusion model-based metrics. The values of FA seem to be non-specific but robust. Therefore, clinical feasible and more optimized diffusion microstructural models and data acquisitions for spinal cord may be needed to provide an additional information and to be biomarker in patients with MS and NMOSD in vivo. |
| 3447 | Spinal cord neurodegeneration rostral and caudal to a degenerative cervical myelopathy (DCM): a quantitative MRI study | |
| Kevin Vallotton1, Gergely David1, Armin Curt1, Michael Fehlings2, Claudia A. M. Gandini Wheeler-Kingshott3,4,5, Rebecca S. Samson6, Julien Cohen-Adad7, Muhammad Ali Akbar2, Patrick Freund1,8,9, and Maryam Seif1 | ||
1Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland, Zuerich, Switzerland, 2University of Toronto Spine Program and Toronto Western Hospital, Toronto, Ontario, Canada, Toronto, ON, Canada, 3NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom, 4Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, Pavia, Italy, 5Brain Connectivity Center Research Department, IRCCS Mondino Foundation, Pavia, Italy, 6Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, London, United Kingdom, London, United Kingdom, 7Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, QC, Canada, Montreal, QC, Canada, 8Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 9Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom |
||
Evidence suggests that degenerative cervical myelopathy (DCM) induces neurodegeneration along the entire spinal cord, i.e. rostral and caudal to the compression level. To investigate macro- and microstructural changes along the spinal cord, we applied high-resolution T2*- and diffusion-weighted MRI at both cervical and lumbar cord levels in mild to moderate DCM patients and healthy controls. This study shows that tissue-specific spinal cord neurodegeneration is evident rostral and caudal to the compression site in DCM with mild or moderate symptoms and that the extent of cervical and lumbar cord atrophy is similar. |
| 3448 | Feasibility of cervical spinal cord cross-sectional measurements from 3D T1w sagittal head MRI at 7T | |
| Vanessa Wiggermann1, Henrik Lundell1, Mads Alexander Just Madsen1, Christopher Fugl Madelung1, and Hartwig Roman Siebner1,2,3 | ||
1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 2Dept. of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark, 3Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark |
||
Spinal cord atrophy is a highly relevant measure of disease progression in multiple sclerosis. Here, we assessed whether cord area measurements from head MRI scans at 7T are feasible with semi- and fully-automated tools. Although different tools can yield systematically different absolute cord areas, measurements were highly consistent within studies as well as across field strengths, if images with similar voxel sizes were used. At higher spatial resolution, the volume of partial signal voxels is reduced and smaller cord areas and diameters were measured than typically reported in literature. |
| 3449 | Quantitative Magnetic Resonance Imaging Assessment of Cervical Spinal Cord Injury in Rats | |
| Seung Yi Lee1, Shekar Kurpad2, and Matthew Budde2 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States |
||
This work aims to investigate the relationship neurological outcomes from a cervical contusion spinal cord injury model in rats with early MRI markers including edema, hemorrhage, and diffusion weighted imaging. A rat-specific MRI template was constructed from a histological atlas to permit inter-subject registration. Compared to diffusion tensor imaging (DTI) metrics, filtered-DWI diminished the confounding effects of vasogenic edema and improved depiction of the acute damage. Collectively, the registration pipeline facilitated analysis, and the results support the role of MRI in preclinical assessment of cervical SCI. |
| 3450 | Increased Dorsal Network Functional Connectivity is Associated with DTI Indices in the Cervical Spinal Cord in Relapsing-Remitting MS | |
| Anna JE Combes1,2, Kristin P O'Grady1,2, Baxter P Rogers1,2, Kurt G Schilling1,2, Richard D Lawless2,3, Mereze Visagie2, Delaney Houston2, Colin D McKnight1, Francesca R Bagnato4, John C Gore1,2,3,4, and Seth A Smith1,2,3 | ||
1Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
||
Tissue integrity and functional connectivity in the cervical spinal cord were assessed with diffusion tensor imaging and resting-state fMRI in a group of relapsing-remitting multiple sclerosis participants with low disability and healthy controls. Lower fractional anisotropy and higher radial diffusivity, markers of tissue damage, were associated with higher dorsal network connectivity in the patient group, but not in controls. These results suggest that increased connectivity may represent a compensatory mechanism in response to structural damage, in order to maintain relatively preserved clinical function in this group. |
| 3451 | Preoperative Spinal Cord Perfusion has the ability to predict the postoperative prognosis for Patients with Cervical Spondylotic Myelopathy | |
| Chunyao Wang1, Xiao Han2, Wen Jiang2, Guangqi Li1, Jinchao Wang2, Donghang Li2, Hua Guo1, and Huijun Chen1 | ||
1Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China, 2Jishuitan hospital, Beijing, China |
||
Cervical Spondylotic Myelopathy (CSM) is a chronic progressive disorder of spinal cord with a relatively ill-defined onset of pathogenesis. A series of state-of-art quantitative and functional MR imaging techniques has been proposed aiming to find out specific indicators in prediction and diagnosis of CSM at early phase, but lack of sufficient evidences. Spinal cord blood supply change was recognized as one of the crucial pathophysiological process in CSM. Thus, this study investigated the potential of pre-operative blood supply condition measured by DSC MRI with a non-parametric model in prediction of post-operative prognosis for patients with CSM. |
| 3452 | Analysis of signal and contrast in a multi-echo gradient-echo sequence of the lumbosacral cord: recommendations for number of echoes and averages | |
| Silvan Büeler1, Patrick Freund2,3,4,5, Martina Liechti1, and Gergely David1,2 | ||
1Department of Neuro-Urology, Balgrist University Hospital, University of Zurich, Zurich, Switzerland, 2Spinal Cord Injury Center, Balgrist University Hospital Zurich, University of Zurich, Zurich, Switzerland, 3Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom, 4Department of Neurophysics, , Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 5Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom |
||
In this study, we aimed to provide recommendations on the number of echoes and averages when imaging the lumbosacral spinal cord using a multi-echo gradient-echo sequence. We found that while more echoes increase the white matter/cerebrospinal fluid contrast, the gray matter/white matter contrast plateaus at 3 echoes. Also, the signal and contrast-to-noise ratios increased only minimally after 6 averages. Overall, we recommend a minimum of 3 and maximum of 4 echoes as an optimal trade-off between segmentability and artifact level, and 6 signal averages (or measurements) for robust segmentations. |
| 3453 | Lumbar disc degeneration changes in sedentary and prolonged-standing population assessed by T1ρ and T2 mapping Magnetic Resonance Imaging | |
| Zeng qi1, Zhang ziwei1, Nie lisha2, Zhu xia1, Huang zaoshu1, and Song lingling1 | ||
1The affiliated hospital of Guizhou mdeical university, Guizhou guiyang, China, 2GE Healthcare,MR Resertch China, Beijing, China |
||
Lumbar disc degeneration is an important cause of lower back pain, sedentary, prolonged-standing behavior accelerates its course. In this study we evaluate intervertebral disc degeneration quantified by T1ρ and T2 mapping magnetic resonance imaging in sedentary and long standing populations compared with a healthy control group matched for age. We conclude that prolonged-standing is more likely to affect the L1 / 2 level discs, while sedentary is more likely to affect the lower segment discs (L4 / 5 and L5/S1). |
| 3454 | Spinal Cord Compression is Associated with Brain Plasticity in Degenerative Cervical Myelopathy | |
| Alicia Cronin1,2, Sarah Detombe3, Camille Duggal2, Neil Duggal3, and Robert Bartha1,2 | ||
1Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada, 3Clinical Neurological Sciences, University Hospital, London Health Sciences Centre, London, ON, Canada |
||
Degenerative cervical myelopathy (DCM) is one of the most common forms of spinal cord dysfunction. Predicting functional recovery after surgery remains elusive. The extent of cortical activation in the primary motor cortex was assessed using fMRI when DCM patients performed a controlled finger-tapping task. Spine compression severity was quantified using T2-weighted imaging. Patients with severe spine compression showed larger activation volumes. Recruitment of neurons to compensate for functional deficits may explain these activation changes. Hypoxia at the spine compression site may drive this cortical plasticity. Future studies should measure hypoxia and explore prognostic determinants. |
| 3455 | An optimized MP2RAGE sequence for studying both brain and cervical spinal cord | |
| Arash Forodighasemabadi1,2,3,4, Henitsoa Rasoanandrianina1,2,3,4, Mohamed Mounir El Mendili1,2, Maxime Guye1,2, and Virginie Callot1,2,4 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France, 3Aix-Marseille Univ, Université Gustave Eiffel, LBA, Marseille, France, 4iLab-Spine International Associated Laboratory, Montreal, Canada, Marseille, France |
||
Magnetization Prepared 2 Rapid Acquisition Gradient Echo (MP2RAGE) is a T1 mapping technique used broadly on brain and recently on spinal cord (SC).The growing interest for combined investigation of brain and SC brings about the need for optimization with regards to spatial coverage, high CNR, low B1+ sensitivity, short acquisition time and high robustness.This work proposes an optimized sub-millimetric protocol for simultaneous brain and cervical spinal cord (BCSC) MP2RAGE acquisition at 3T and subsequent post-processing pipeline. It shows excellent agreement with previously proposed brain or SC protocols, with good reproducibility, which opens up great perspectives for clinical applications. |
| 3456 | Single-Shot Inner-Field-of-View Fast Spin Echo Imaging with MAVRIC: Access to the Spinal Cord Close to Metallic Implants | |
| Caspar Florin1 and Jürgen Finsterbusch1 | ||
11Department of Systems Neuroscience, University Medical Center Hamburg–Eppendorf, Hamburg, Germany |
||
Inner field-of-view EPI provides a good image quality for diffusion-weighted imaging of the spinal cord in healthy subjects but suffers from severe artifacts in the vicinity of metallic implants that may be present in patients with traumatic injuries. Here, inner-field-of-view imaging based on cross-sectional RF pulses is used to obtain a single-shot fast spin echo technique that combined with multi acquisition variable-resonance imaging (MAVRIC) and view angle tilt (VAT) offers a more robust access to small target regions close to metallic implants and, thus, may be feasible for diffusion-weighted imaging of patients with traumatic spinal cord injury. |
| 3457 | Impact of manual segmentation on the non-linear registration of a spinal cord atlas to functional space | |
| Mark A Hoggarth1, Max C Wang2, Kimberly J Hemmerling1,2, Zachary A Smith3, Kenneth A Weber II4, and Molly G Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Evanston, IL, United States, 3Neurosurgery, Oklahoma University, Oklahoma City, OK, United States, 4Anesthesiology, Perioperative and Pain Medicine, Stanford University, Palo Alto, CA, United States |
||
Contouring the cervical spinal cord in functional MRI is a difficult but necessary task, that is typically performed manually. Differences between raters in drawing these masks could directly affect overall study results. This work compared the differences between spinal cord masks drawn by raters of varied experience with an expert rater on temporal mean fMRI images from 14 healthy participants; then the resultant warped atlas masks in functional space after non-linear registration using the Spinal Cord Toolbox. Performing non-linear registration increased overall agreement of the masks as a whole and along the edges where most disagreement occurs. |
| 3458 | Quantitative Evaluation of Normal Lumbosacral Plexus Nerve Using Diffusion Tensor Imaging with Multiband SENSE | |
| Nan Zhang1, Qingwei Song2, Ailian Liu2, Renwang Pu2, Haonan Zhang2, Jiazheng Wang3, and Liangjie Lin3 | ||
1The First Affilliated Hospital of Dalian Medical University, Dalian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China, Beijing, China |
||
DTI can provide valuable structural information that may become an innovative tool in evaluating lumbosacral plexus nerve entrapment. Multiband SENSE technique could be used to accelerate the image acquisition .The present study aims to explore the feasibility of DTI with multiband SENSE on normal lumbosacral plexus nerve. The study showed that MB SENSE=2 was recommended for DTI on normal lumbosacral plexus nerve, which facilitated a xx% shorter image acquisition time than conventional SENSE accelerated diffusion tensor imaging. |
| 3459 | Clinical Feasibility Study of Accelerated 2D Magnetic Resonance Spinal Imaging Using Compressed Sensing Algorithm | |
| Jianxing Qiu1, Jing Liu1, Qingping Gu2, Peng Sun2, and Naishan Qin1 | ||
1Peking University First Hospital, Beijing, China, 2Philips Healthcare, Beijing, China, Beijing, China |
||
Compressed sensing algorithm (CS-MRI) could accelerate 3D MRI scanning time. In this study, we investigate the feasibility of CS-MRI in 2D spinal MRI. Totally 78 consecutive patients (29, 11 and 38 patients were examined by cervical vertebral, thoracic vertebral, thoracic vertebral MRI protocol respectively) were enrolled for both conventional MRI and CS-MRI. Both qualitative and quantitative analyses were conducted to compare the image quality and lesion diagnosis on conventional MRI and CS-MRI. And our results revealed that CS-MRI was valuable for improving the overall workflow of spinal MRI with scanning time saved and image quality improved. |
| 3460 | Multi-parameter model proposes a comprehensive imaging index for degenerative cervical myelopathy diagnosis: a preliminary study | |
| Yuancheng Jiang1, Xiao Han2, Jinchao Wang2, Sisi Li3, Ke Wang4, Yandong Liu5, Wei Liang5, Wen Jiang5, and Hua Guo3 | ||
1Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Department of spine surgery, Beijing Jishuitan Hospital, Beijing, China, 3Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 4Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 5Department of Radiology, Beijing Jishuitan Hospital, Beijing, China |
||
DTI and MTR have been reported to be useful in aiding the diagnosis of DCM. Some of the DTI and MTR metrics are significantly correlated with mJOA and thus can assist clinical assessment. However, previous studies have tended to only focus on a limited number of metrics. We aim to propose a comprehensive imaging index that correlates well with mJOA. It is based on the analysis of multiple metrics in different ROIs. In this preliminary study, we examine the correlation between mJOA and metrics at the C2 level. The plan and framework of the follow-up study are also presented. |
| 3461
|
High-resolution anatomical and diffusion-weighted imaging in peripheral nerves at 7 Tesla using quantitative Double-Echo in Steady-State | |
| Bragi Sveinsson1,2, Robert L Barry1,2,3, Olivia Rowe1,2, Jason Stockmann1,2, Daniel J Park1, Peter J Lally4, Matthew S Rosen1,2,5, and Reza Sadjadi6 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Harvard-Massachusetts Institute of Technology Health Sciences and Technology, Cambridge, MA, United States, 4Brain Sciences, Imperial College London, London, United Kingdom, 5Physics, Harvard University, Cambridge, MA, United States, 6Neurology, Massachusetts General Hospital, Boston, MA, United States |
||
Research has suggested elevated diffusivity in nerves of subjects with peripheral nerve disease. Obtaining quantitative estimates of diffusivity at small scales within peripheral nerves could therefore provide important information about disease progression. However, diffusion weighted imaging at such small scales is challenging due to low signal to noise ratio (SNR) and distortion. Here, we demonstrate the feasibility of obtaining high-SNR, high-resolution, low-distortion anatomical images and quantitative diffusivity estimates in individual nerve fascicles with the quantitative Double-Echo in Steady-State sequence at 7 Tesla. |
| 3462 | Spinal cord perfusion mapping using Intra-Voxel Incoherent Motion at 3T in healthy individuals and Degenerative Cervical Myelopathy patients | |
| Simon Lévy1,2,3, Patrick Freund4,5,6, Virginie Callot1,2,3, and Maryam Seif4,5 | ||
1CRMBM, Aix-Marseille University, CNRS, Marseille, France, 2CEMEREM, APHM, Hopital Universitaire Timone, Marseille, France, 3iLab-Spine International Research Laboratory, Marseille-Montreal, France, 4Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland, 5Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 6Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom |
||
In the search for a technique to assess spinal cord perfusion, the Intra-Voxel Incoherent Motion technique, previously implemented at 7T, was adapted to 3T. B-values were optimized based on phantom acquisitions. The final protocol was applied within 11 healthy volunteers and 2 Degenerative Cervical Myelopathy patients. The technique demonstrated sensitivity to perfusion in healthy volunteers and to capillary network orientations, with a clear depiction of the gray matter perfusion and inter-slice reproducibility. No significant difference could be shown between healthy volunteers and patients given the small sample size but more patients will be included in the near future. |
| 3463 | A Simulation Study on the Difference of PNS with Magnetic Fields and Electric Fields in an Arm Model | |
| Yihe Hua1, Desmond TB Yeo1, and Thomas K Foo1 | ||
1GE Global Research, Niskayuna, NY, United States |
||
PNS by the alternative magnetic field from the gradient coil is an important safety consideration in MRI scanning. Previous studies reported the chronaxie time of PNS in the arm by transcutaneous electrode stimulation (ES) might be very different from PNS by magnetic stimulation (MS). We simulated the electric field distributions and chronaxie of most sensitive nerve trajectories for both ES and MS cases in an anatomical real arm model and found the profile of the field distribution for both cases are very different but chronaxie values at the same order of magnitude. |
| 3464 | Patch2Self denoising of diffusion MRI in the cervical spinal cord improves repeatability and feature conspicuity | |
| Kurt G. Schilling1,2, Shreyas Fadnavis3, Mereze Visagie2, Eleftherios Garyfallidis3, Bennett A. Landman2,4, Seth A. Smith1,2, and Kristin P. O'Grady1,2 | ||
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States, 4Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States |
||
Diffusion MRI (dMRI) is a promising tool for evaluating the spinal cord in health and disease, however low SNR can impede accurate, repeatable, quantitative measurements. Here, we apply a recently proposed denoiser, Patch2Self, that strictly suppresses statistically independent random fluctuations in the signal originating from various sources of noise. Typical spinal cord dMRI scans have a smaller number of gradient directions (10-20) making PCA based 4D denoisers (require at least 30) inapplicable. Using self-supervised learning, Patch2Self addresses these issues which we quantitatively show with an improvement in repeatability and conspicuity of pathology in the spinal cord. |
| 3465 | Spaceflight Associated Neuro-Ocular Syndrome: Quantitative MRI Evaluation of Lower Body Negative Pressure as a Potential Countermeasure | |
| Larry A. Kramer1, Khader M. Hasan1, Brandon R. Macias2, Karina J. Marshall-Goebel3, Steven S. Laurie3, Refaat E. Gabr1, Leela Chaudhary1, and Alan R. Hargens4 | ||
1Diagnostic Imaging, UTHSC-Houston, Houston, TX, United States, 2NASA, Houston, TX, United States, 3KBR, Houston, TX, United States, 4Orthopedic Surgery, UCSD, La Jolla, CA, United States |
||
The application of lower body negative pressure in the supine position significantly reduces bulk cerebral arterial flow and cross-sectional area of the internal jugular vein compared to the supine position alone. This is similar to the physiologic response expected with upright compared to supine positioning. Our results suggest that lower body negative pressure applied during spaceflight may help reduce headward fluid shift and venous congestion and mitigate the development of optic disc edema associated with long-duration spaceflight. |
| 3466 | Assessment of Spinal Cord Diffusivity in Degenerative Cervical Myelopathy after Spinal Fusion Decompression | |
| Kevin M Koch1, V. Emre Arpinar1, and Matthew Budde2 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States |
||
Metal artifacts from commonly-encountered spinal fusion stabilization hardware have historically confounded quantitative MRI (qMRI) research investigations of the injured and damaged spinal cord in human subjects. This report provides preliminary analysis of metal-artifact suppressed multi-spectral diffusion qMRI collected on instrumented degenerative cervical spondylotic myelopathy (CSM) subjects. The results of the study demonstrate group trends of reduced diffusivity in the CSM group at spinal cord levels fused by hardware. This is a unique finding in instrumented CSM subjects that may offer unique insight into the impact of spinal fusion interventions on conventional qMRI measures of the spinal cord. |
| 3467 | Quantitative Multimodal Magnetic Resonance Imaging for the Evaluation of Dysthyroid Optic Neuropathy | |
| Mengsha Zou1, Hongzhang Zhu1, Yunzhu Wu2, and Zhiyun Yang1 | ||
1Radiology, The first affiliated hospital of Sun Yet-sen University, Guangzhou, China, 2MR Sicentific Marketing, Siemens Healthineers, Shanghai, China |
||
Dysthyroid optic neuropathy (DON) is one of the most severe types of Graves orbitopathy (GO) and requires urgent treatment to prevent blindness. However, DON is frequently difficult to diagnose clinically in its early stages because of confounding signs and symptoms of congestive orbitopathy. In our study, we evaluate orbital condition of DON patients by using quantitative multimodal MRI, which include anatomical and functional indicators. We found that mMI (at 21 mm) combined with the mean T2 value of the optical nerve can use as an effective imaging indicator for detecting DON. |
| 3468 | Partial Simultaneous Multi-Slice Acquisition of Combined T2*-Weighted Imaging of the Human Brain and Cervical Spinal Cord | |
| Ying Chu1 and Jürgen Finsterbusch1 | ||
1Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany |
||
Combined fMRI T2*-weighted imaging of the human brain and cervical spinal cord has been accelerated by simultaneous multi-slice (SMS) imaging of the brain volume. The implementation has been tested and evaluated in phantoms and in vivo and shows a very similar performance to non-accelerated and brain-only measurements. With the much shorter acquisition times achievable it could help to improve brain volume coverage of cortico-spinal fMRI. |
| 3469 | A robust framework for characterising diffusion metrics of peripheral nerves: exploiting state of the art tracking methods | |
| Arkiev D'Souza1, Chenyu Wang1,2, Sicong Tu1,2, Dominic Soligo3, Matthew Kiernan1,2,4, Michael Barnett1,4, and Fernando Calamante1,5,6 | ||
1Brain and Mind Centre, The University of Sydney, Sydney, Australia, 2Central Clinical School, The University of Sydney, Sydney, Australia, 3I-MED Radiology Network, Camperdown, Australia, 4Department of Neurology, Royal Prince Alfred Hospital, Camperdown, Australia, 5School of Biomedical Engineering, The University of Sydney, Sydney, Australia, 6Sydney Imaging, The University of Sydney, Sydney, Australia |
||
Diffusion MRI has previously been used to quantify peripheral nerves; however, traditional post-processing techniques have several limitations. Here, we demonstrate the feasibility of using state-of-the-art diffusion analysis tools to reconstruct and quantify the ulnar nerve of the forearm. Constrained-spherical deconvolution was combined with probabilistic fibre-tracking to compute several track-weighted measurements in the ulnar nerve. The results suggest that a sample size of 22 would be sufficient to detect a 10% difference in any of the measured track-weighted metrics, and a sample size of 20 would be large enough to detect within-subject differences as small as 3%. |
| 3470 | Investigating layer specific MR properties in the superior colliculus ex vivo at 14.1T | |
| Ju Young Lee1, Andreas Mack2, Thomas Shiozawa-Bayer2, Marc Himmelbach3, Gisela Hagberg1,4, and Klaus Scheffler1,4 | ||
1Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Eberhard Karls University Tuebingen, Tübingen, Germany, 3Hertie-Institue for Clinical Brain Research, Tübingen, Germany, 4University Hospital Tübingen, Tübingen, Germany |
||
Layer specific MR properties have previously been observed in the superior colliculus in vivo at 9.4T. The present study investigates layer specific MR properties in R2* and R1 in more detail in post mortem brain stem samples at 14.1T. Similar to in vivo, one R2* maximum that likely corresponds to the superficial optic layer (layer III) was observed. Ex vivo we could observe high R2* and R1 in an area likely corresponding to the deep white layer (layer VII) of the superior colliculus. In the R1maps, this area showed a strong contrast towards the periaqueductal gray. |
| 3471 | Visible “Butterfly” of the Cervical Spinal Cord: A Pilot study using high-resolution Phase-Sensitive and multiple Fast Field Echo MR imaging | |
| bingbing gao1, Yanwei Miao1, Qingwei Song1, Ailian Liu1, and Jiazheng Wang2 | ||
1the First Affiliated hospital of Dalian Medical university, Dalian, China, 2Philips Healthcare, BeiJing, China |
||
Discrimination of gray and white matters on the axial-spinal-marrow MRI remains a challenge, due to the small structure size and motion artifacts from such as swallowing and blood flow. The present study aims to visualize the cervical spinal marrow with high resolution axial phase-sensitive inversion recovery (PSIR) and multiple Fast Field Echo (FFE) images, and further to detect the image quality differentially on gray and white matters. The “butterfly” structure could be seen on both of the two contrast images, but the PSIR images were associated with significantly higher signal-to-noise ratios. |
| 3472 | Design and Construction of an Interchangeable RF Coil System for Rodent Spinal Cord MR Imaging | |
| Ming Lu1,2,3, Gary Drake1,2, Feng Wang1,2, Chaoqi Mu1,4, Limin Chen1,2, John C. Gore1,2,4, and Xinqiang Yan1,2 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3College of nuclear equipment and nuclear engineering, Yantai University, Yantai, China, 4Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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Multiparametric MRI at high field provides comprehensive information to assess structural and functional changes that are important for clinical diagnosis and for evaluating therapies. Injuries may occur at different levels of the lumbar and thoracic cord, and the number of segments injured and their depths may vary along the spine, so it is challenging to build one universal RF coil that exhibits high-performance for all spinal cord imaging applications. We therefore developed an interchangeable RF coil system for a 9.4T small animal MRI scanner, and found the specialized coil has 2.4-fold SNR improvement compared to a commercial general-purpose sized coil. |
| 3473 | Diffusion features in white and gray matter of healthy cervical spinal cord using PSIR imaging | |
| Yunan Cui1, Yanwei Miao1, Ailian Liu1, Zhiwei Shen2, and Jiazheng Wang2 | ||
1THE FIRST AFFILIATED HOSPITAL OF DALIAN MEDICAL UNIVERSITY, DALIAN, China, 2Philips Healthcare, BEIJING, China |
||
Due to the difficulty in distinguishing the structure of spinal by conventional MR sequence. In this study, the fusion images of Phase Sensitive Inversion Recovery sequence (PSIR) and zoomed Diffusion Tensor Imaging (DTI) was used to quantify the diffusion indicators, such as fractional anisotropy (FA), apparent diffusion coefficient (ADC), axial dispersion (AD) and relative anisotropy (RA) in the normal spinal cord. We found that there were significant differences of above indicators in different regions of cervical cord including the white columns of the cervical cord, the ipsilateral white matter and in the left and right sides of the cervical cord. |
| 3474 | Morphological Assessment of the Instrumented Spinal Cord using Isotropic 3D-MSI MRI | |
| Kevin M Koch1 and Andrew S Nencka1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States |
||
Morphological analysis of the spinal cord can provide valuable insight into injury and degeneration of damaged cord tissues. Accurate morphological analysis requires high resolution 3D anatomic imaging to be utilized as inputs into automated or semi-automated post-processing analysis algorithms. Historically, high resolution 3D imaging of the instrumented spinal cord has been difficult to achieve. As a result, the substantial damage and pathology near hardware cannot be analyzed using advanced morphological tools. In this technical feasibility study, isotropic 3D-MSI metal-artifact suppressed images are collected and utilized within a novel analysis framework constructed around the Spinal Cord Toolbox infrastructure. |
| 3475 | Optimization of Compressed SENSE accelerated Brachial Plexus MRI: Quality and Efficiency | |
| Renwang PU1, Qingwei SONG1, Ailian LIU1, Zijing ZHANG1, Nan ZHANG1, Haonan ZHANG1, Bingbing GAO1, Lihua CHEN1, and Liangjie LIN2 | ||
1the First Affiliated Hospital of Dalian Medical Universityrsity, Dalian, China, 2Philips Healthcare, BEIJING, China |
||
The 3D-NerveVIEW sequence with suppression of lipid and blood signals and a long echo time can obtain high-quality images for visualization of brachial plexus, while the long scan time may limit its clinical application. Compressed SENSE (CS) is a newly developed technique in MRI that enables accelerated acquisition with maintained image quality. By comparing results of 3D-NerveVIEW for brachial plexus imaging with acceleration by the conventional SENSE and the advanced CS with different acceleration factors. We found that the 3D-NerveVIEW for brachial plexus imaging with a CS acceleration factor of 4 can obtained favorable images within significantly reduced scan time. |
| 3476 | Application of 3D-FFE Based on Compressed Sensing for Lumbosacral Plexus Imaging: A Preliminary Study | |
| Jian Wang1, Yanjun Chen1, Yingjie Mei2, Jialing Chen1, 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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The anatomy of lumbosacral plexus (LSP) is complex, patients with trauma, neoplasms, or infection may experience motor weakness, sensory loss, and/or debilitating pain. Accurate and fast MRN scanning is an invaluable tool for evaluation of LSP diseases. In this study, the feasibility and performance of compressed sensing (CS) in scanning LSP was investigated and compared with conventional 3D-FFE with principles of the selective excitation technique. The results show that 3D-FFE with CS could reduce scan time obviously, influence image quality mildly, and meet clinical diagnosis. |
| 3477 | Banding artifacts reduction for lumbosacral plexus imaging with balanced FFE (b-FFE) | |
| Geli Hu1, Jiazheng Wang1, Qingping Gu1, Yang Zhang1, and Jianxia Cao1 | ||
1Philips Healthcare, Beijing, China |
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The balanced FFE (b-FFE) sequence has the advantages of high resolution, SNR, CNR and superior differentiation between fluid and tissue. Therefore, it can be used for lumbosacral plexus imaging [1]. However, black band-like artifacts are frequently observed due to intra-voxel signal dephasing at the presence of magnetic field inhomogeneity. Here we proposed using a RF phase cycling technique (b-FFE-XD) to suppress the banding artifacts. The RF phase was set as [0,180+1*X, 2*X, 180+3*X,4*X,…] in consequence to limit the intravoxel dephasing, where X=n*360/NSA, and n is the nth average. Results demonstrated successful removal of banding artifacts with the proposed technique. |
| 3478 | WITHDRAWN |
| 3479 | Diffusion Tensor Imaging of the Roots of the Brachial Plexus: A Systematic Review and Meta-Analysis of Normative Values | |
| Ryckie George Wade1, Alexander Whittam2, Irvin Teh1, Gustav Andersson3, Fang-Cheng Yeh 4, Mikael Wiberg 3, and Grainne Bourke 1 | ||
1University of Leeds, Leeds, United Kingdom, 2Sheffield Teaching Hospitals, Sheffield, United Kingdom, 3Umeå University, Umeå, Sweden, 4University of Pittsburgh, Pittsburgh, PA, United States |
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In this systematic review and meta-analysis we summarise the normal diffusion tensor imaging (DTI) metrics for roots of the brachial plexus. We included 9 studies describing 316 adults (1:1 male:female) of mean age 35 years (SD 6). The normal fractional anisotropy was 0.36 (95% CI 0.34, 0.38; Figure 4). The normal mean diffusivity was 1.51 x10-3 mm2/s (95% CI 1.45, 1.56; Figure 5). DTI metrics varied according to experimental conditions and participant factors. Our summary estimates from different conditions which may be valuable to researchers and clinicians alike. |
| 3480 | the value of preoperative MRI measurements of Meckel cavity volume in percutaneous balloon compression of the trigeminal nerve | |
| Junjiao Hu1, Kai Deng1, Weijun Situ1, and Huiting Zhang2 | ||
1Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China, 2MR Scientific Marketing, Siemens Healthcare Ltd., Wuhan, China |
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This retrospective study aimed to investigate the feasibility of preoperative MRI measurements of Meckel cavity volume using 3D SPACE sequence and its values in guiding percutaneous balloon compression of the trigeminal nerve. Our results showed that there was no statistically significant difference between the volume of Meckel cavity using the axis, coronal and sagittal directions of MRI images and intraoperative balloon filling volume. 3D SPACE is helpful to guide the operation in clinical application. |
| 3481
|
Learning 4D Probabilistic Atlas of Fetal Brain with Multi-channel Registration Network | |
| Yuchen Pei1, Fenqiang Zhao1, Liangjun Chen1, Zhengwang Wu1, Tao Zhong1, Ya Wang1, Li Wang1, He Zhang2, and Gang Li1 | ||
1Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA, Chapel Hill, NC, United States, 2Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China, Shanghai, China |
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Brain atlases are of fundamental importance for analyzing the dynamic neurodevelopment in fetal brains. Since the brain size, shape, and structure change rapidly during the prenatal development, it is essential to construct a spatiotemporal (4D) atlas with tissue probability maps for accurately characterizing dynamic changes in fetal brains and providing tissue prior for segmentation of fetal brain MR images. We propose a novel unsupervised learning framework for building multi-channel atlases by incorporating tissue segmentation. Based on 98 healthy fetuses from 22 to 36 weeks, the learned 4D fetal brain atlas includes intensity templates, corresponding tissue probability maps and parcellation maps. |
| 3482 | Self-Supervised Transfer Learning for Infant Cerebellum Segmentation with Multi-Domain MRIs | |
| Yue Sun1, Kun Gao1, Shihui Ying1, Weili Lin1, Gang Li1, Sijie Niu1, Mingxia Liu1, and Li Wang1 | ||
1Department of Radiology and Biomedical Research Imaging Center, UNC at Chapel Hill, Chapel Hill, NC, United States |
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This study develops a self-supervised transfer learning (SSTL) framework to generate reliable cerebellum segmentations for infant subjects with multi-domain MRIs, aiming to alleviate the domain shift between different time-points/sites and improve the generalization ability. Experiments demonstrate that by transferring limited manual labels from late time-points (or a specific site) with high tissue contrast to early time-points (or other sites) with low contrast, our method achieves improved performance and can be applied to other tasks, especially for those with multi-site data. |
| 3483 | MRI based IDH and grade prediction using convolutional neural networks | |
| Sumeet Shinde1, Abhilasha Indoria2, Jitender Saini2, Manish Beniwal2, Vani Santosh2, and Madhura Ingalhalikar1 | ||
1Symbiosis centre for medical image analysis, Symbiosis International University, Pune, India, 2Dept of Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India |
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Recent developments in glioma subtyping suggest that IDH genotype as well as the histological grading are both crucial factors. However, earlier classification studies based on MRI features have focused either only on grade or IDH. In this work we employ an automated deep learning based technique to delineate the grade as well as the IDH status on a dataset of 178 subjects. Our classifier performs with a superior accuracy of 93.5% and the model explanability is achieved through class activation maps that illustrate the areas important in the classification. |
| 3484 | Image-to-image translation of 3T to 7T MRI using Generative Adversarial Networks: A step towards longitudinal harmonization | |
| Eduardo Diniz1, Karim Helmet2, Tales Santini2, Howard Eizenstein2, and Tamer Ibrahim2 | ||
1Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States |
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We implemented a generative adversarial network (CycleGAN) to tackle the problem of MRI data harmonization across scanner strength. We leveraged a large dataset of unpaired 3T and 7T MR images for training and evaluated our model in a dataset of paired 3T and 7T data by generating synthetic 7T images and comparing them with their real counterparts. Dice scores and volumetric measures showed strong agreement between the synthetic and real 7T images. This approach allows for research studies to transition from 3T to 7T MR systems, thereby harnessing 7T systems advantages without losing the prior wave’s 3T MR data. |
| 3485 | White matter hyperintensity volumes and cognition: Assessment of a deep learning-based lesion detection and quantification algorithm on ADNI | |
| Lavanya Umapathy1, Gloria Guzman Perez-Carillo2, Blair Winegar3, Srinivasan Vedantham4, Maria Altbach4, and Ali Bilgin1,4,5 | ||
1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Mallinckrodt Institute of Radiology, St Louis, MO, United States, 3Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States, 4Medical Imaging, University of Arizona, Tucson, AZ, United States, 5Biomedical Engineering, University of Arizona, Tucson, AZ, United States |
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The relationship between cognition and white matter hyperintensities (WMH) volumes often depends on accuracy of the lesion segmentation algorithm used. As such, accurate detection and quantification of WMH is of great interest. Here, we use a deep learning-based WMH segmentation algorithm, StackGen-Net, to detect and quantify WMH on 3D-FLAIR images from ADNI. We used a subset of subjects (n=20) and obtained manual WMH segmentations by an experienced neuro-radiologist to demonstrate the accuracy of our algorithm. On a larger cohort of subjects (n=290), we observed larger WMH volumes correlated with worse performance on executive function (P=.004), memory (P=.01), and language (P=.005). |
| 3486 | DL-BET - A deep learning based tool for automatic brain extraction from structural magnetic resonance images in mice. | |
| Sabrina Gjerswold-Selleck1, Nanyan Zhu2,3,4, Haoran Sun1, Dipika Sikka1, Jie Shi1, Chen Liu3,4,5, Tal Nuriel4,6, Scott A. Small4,7,8, and Jia Guo3,9 | ||
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Biological Science, Columbia University, New York, NY, United States, 3Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 4Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY, United States, 5Electrical Engineering, Columbia University, New York, NY, United States, 6Department of Pathology and Cell Biology, Columbia University, New York, NY, United States, 7Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States, 8Radiology, Columbia University, New York, NY, United States, 9Psychiatry, Columbia University, New York, NY, United States |
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Brain extraction plays an integral role in image processing pipelines in both human and small animal preclinical MRI studies. Due to lack of state-of-the-art tools for automated brain extraction in rodent research, this step is often performed semi-supervised with manual correction, making it prone to inconsistent results. Here, we perform a multi-model brain extraction study and present a semi-automated preprocessing workflow and deep neural network with a 3D Residual Attention U-Net architecture as the optimal network for automated skull-stripping in neuroimaging analysis pipelines, achieving a DICE score of 0.987 and accuracy of 99.7%. |
| 3487 | Deep Learning Identifies Neuroimaging Signatures of Alzheimer’s Disease Using Structural and Artificial Functional MRI Data | |
| Nanyan Zhu1,2,3, Chen Liu2,3,4, Sabrina Gjerswold-Selleck5, Xinyang Feng5, Dipika Sikka5, Scott A. Small2,6,7, and Jia Guo3,8 | ||
1Biological Science, Columbia University, New York, NY, United States, 2Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States, 3Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 4Electrical Engineering, Columbia University, New York, NY, United States, 5Biomedical Engineering, Columbia University, New York, NY, United States, 6Radiology, Columbia University, New York, NY, United States, 7Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States, 8Psychiatry, Columbia University, New York, NY, United States |
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Alzheimer’s disease (AD) is a neurodegenerative disorder where functional deficits precede structural deformations. Various studies have demonstrated the efficacy of deep learning in diagnosing AD using imaging data, and that functional modalities are more helpful than structural counterparts over comparable sample size. To deal with the lack of large-scale functional data in the real world, we used a structure-to-function translation network to artificially generate a previously non-existent spatially-matched functional neuroimaging dataset from existing large-scale structural data. The artificial functional data, generated with little cost, complemented the authentic structural data to further improve the performance of AD classification. |
| 3488 | Preoperative MR Radiomics and ADC Value for Prediction of Progression and Recurrence in Meningiomas | |
| Ching-Chung Ko1,2, Yang Zhang3, Jeon-Hor Chen3,4, and Min-Ying Su3 | ||
1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Radiological Sciences, University of California, Irvine, CA, CA, United States, 4Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan |
||
A subset of meningiomas may show early progression/recurrence (P/R) after surgery. In clinical practice, one of the main challenges in the treatment of meningiomas is to determine factors that correlate with P/R. This study investigated the role of preoperative MR radiomics and apparent diffusion coefficient (ADC) value for prediction of P/R in meningiomas. The four most significant radiomic features selected by support vector machine (SVM) were used to calculate SVM score for each patient. High SVM score and low ADC value were associated with early P/R and short progression-free survival in meningiomas. |
| 3489 | Improved Segmentation of MR Brain Images by Integrating Bayesian and Deep Learning-Based Classification | |
| Ruihao Liu1, Ziyu Meng1, Wenli Li1, Yao Li1, Yiping P. Du1, and Zhi-Pei Liang2,3 | ||
1Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Accurate segmentation of brain tissues is essential for brain imaging applications. Classical Bayesian methods rely on good probability functions to produce good segmentation results. This paper presents a new method to synergistically integrate classical Bayesian segmentation with deep learning-based classification. A cluster of patch-based position-dependent neural networks were trained to effectively capture the joint spatial-intensity distributions of brain tissues. This cluster of patch networks significantly extends the capability of classical Markov Random field models and conventional statistical brain atlases. By combining the classical Bayesian classifier with the proposed networks, our method significantly improved segmentation results compared with the state-of-art methods. |
| 3490 | Simulation of brain deficits on MRI: A novel approach of ‘ground truth’ generation for machine learning | |
| Kattie Sepehri1, Xiaowei Song2, Ryan Proulx3, Sujoy Ghosh Hajra4, Brennen Dobberthien5, Careesa Liu6, Ryan D'Arcy7, Don Murray3, and Andra Krauze5 | ||
1UBC, Vancouver, BC, Canada, 2Surrey Memorial Hospital, Vancouver, BC, Canada, 3Safe Software, Vancouver, BC, Canada, 4National Research Council, Vancouver, BC, Canada, 5BC Cancer, Vancouver, BC, Canada, 6Baycrest Health Sciences Centre, Vancouver, BC, Canada, 7HealthTech Connex, Vancouver, BC, Canada |
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Robust machine learning algorithms for tumor identification require ground truth data sets. Ground truth data sets require expert input, are difficult and inefficient to produce. Feature Manipulation Engine (FME) allows for specific and complex data manipulation. We have created an FME workflow to produce simulated tumors that resemble realistic gliomas as rated by experts. |
| 3491 | Deep learning-based Cerebral Microbleeds detection on quantitative susceptibility mapping(QSM) for Stroke Cohort | |
| Peng Xia1, Zuojun Wang1, Han Yu1, Fan Huang1, Henry Ka-Fung MAK1, Edward Sai-am HUI2, and Peng Cao1 | ||
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China, 2Department of Rehabilitation Science, The Hong Kong Polytechnic University, Hong Kong, China |
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Cerebral microbleeds (CMBs) detection has been applied to many brain diseases but not well studied on stroke cohort. We developed and analyzed a deep learning-based CMB detection pipeline on quantitative susceptibility mapping (QSM) images from 138 stroke patients cohort. |
| 3492 | Improved Automated Hippocampus Segmentation using Deep Neural Networks | |
| Maximilian Sackl1, Alina Dima2, Christian Payer2, Darko Štern3, Reinhold Schmidt1, and Stefan Ropele1 | ||
1Department of Neurology, Medical University of Graz, Graz, Austria, 2Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 3Department of Biophysics, Medical University of Graz, Graz, Austria |
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Segmentation of the hippocampal formation on T1-weighted structural MR scans is a prerequisite for most imaging studies in Alzheimer’s disease. In this work, we evaluated the performance and accuracy of deep learning-based hippocampus segmentation combined with manual ground truth (GT) data that originates from high-resolution T2-weighted MR images. Results were evaluated against the GT-labels and compared to segmentation results obtained with FreeSurfer. All learning approaches outperformed FreeSurfer in terms of accuracy and speed, where experiments utilizing the T2-based GT-labels yielded the best results. Thus, using T2-weighted images for training a deep learning model can improve automated HC segmentation. |
| 3493 | A semi-supervised level-set loss for white matter hyperintensities segmentation on FLAIR without manual labels | |
| Fan Huang1, Peng Xia1, Varut Vardhanabhuti1, Edward Sai-Kam Hui2, Gary Kui-Kai Lau3, Henry Ka-Fung Mak1, and Peng Cao1 | ||
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Department of Rehabilitation Science, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, 3Department of Medicine, The University of Hong Kong, HongKong, Hong Kong |
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We propose a semi-supervised training scheme for white matter hyperintensity (WMHs) segmentation using V-Net on FLAIR images. The training procedure does not require manual labeling data but only a few domain knowledge of WMHs. The segmentation result obtained by the V-Net with the proposed scheme outperformed that obtained by the supervised loss with manual labels, showing great potential and generalizability in medical image applications. |
| 3494 | Preoperative MR Radiomics for Prediction of Progression and Recurrence in Non-functional Pituitary Macroadenomas | |
| Ching-Chung Ko1,2, Yang Zhang3, Jeon-Hor Chen3,4, and Min-Ying Su3 | ||
1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Radiological Sciences, University of California, Irvine, CA, CA, United States, 4Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan |
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A subset of nonfunctioning pituitary macroadenomas (NFPAs) may show early progression/recurrence (P/R) after surgery. In clinical practice, one of the main challenges in the treatment of NFPAs is to determine factors associated with P/R. This study investigated the role of preoperative MR radiomics based on support vector machine (SVM) for the prediction of P/R in NFPAs. The three most significant radiomic features selected by SVM were used to calculate SVM score for each patient. High SVM scores were associated with P/R and short progression-free survival in NFPAs. |
| 3495 | Improving the generalizability of convolutional neural networks for T2-lesion segmentation of gliomas in the post-treatment setting | |
| Jacob Ellison1, Francesco Caliva1, Pablo Damasceno2, Tracy Luks1, Marisa LaFontaine1, Julia Cluceru1, Anil Kemisetti1, Yan Li1, Valentina Pedoia2, Javier Villanueva-Meyer1, and Janine M Lupo1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Center for Intelligent Imaging, UCSF, San Francisco, CA, United States |
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Routine monitoring of response to therapy in patients with glioma greatly benefits from using volumetrics quantified from lesion segmentation. Yet, the vast majority of deep learning models developed for this task have been trained using data from treatment-naïve, newly-diagnosed patients, whose T2-lesions have different appearance on imaging. We found that increasing the proportion of treated patients in training, incorporating a cross-entropy loss term that takes into account the spatial distance from surgical resection cavity and leading tumor edge, and transfer learning from newly-diagnosed to post-treatment imaging domains were effective strategies to improve the generalizability of segmentation of the T2-lesion post-treatment. |
| 3496 | A Comparative and Summative Study of Radiomics-Based Overall Survival Prediction in Glioblastoma Patients | |
| Zhuoying Ruan1, Nan Mei2, Yiping Lu2, Ji Xiong3, Xuanxuan Li2, Yajing Zhao2, Pu-Yeh Wu4, Li Liu5, and Bo Yin2 | ||
1Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China, 2Department of Radiology, Huashan Hospital Fudan University, Shanghai, China, 3Department of Pathology, Huashan Hospital Fudan University, Shanghai, China, 4GE Healthcare, MR Research China, Shanghai, China, 5Department of Radiology, Shanghai Cancer Center, Fudan University, Shanghai, China |
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The prediction of overall survival in glioblastoma patients can provide great aid to clinical treatment. Therefore, we extracted clinical, VASARI and radiomic features from pre-operative MRI scannings and compared the predictive capacity of Cox algorithm and random forest based on these features. According to our results, tumor without cortical involvement had longer overall survival than those involved; the random forest models outperformed Cox regression models in general and the random forest model consisting of radiomic features was the best one. Ten radiomic features were reproducible in our and other’s studies exhibiting promising value in overall survival prediction of glioblastoma. |
| 3497 | Mapping transient coactivity patterns of brain in latent space with variational autoencoder neural network | |
| Kaiming Li1 and Xiaoping Hu1 | ||
1Department of Bioengineering, UC Riverside, Riverside, CA, United States |
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The brain is a complex dynamic system that constantly evolves. Characterization of the spatiotemporal dynamics of brain activity is fundamental to understand how brain works. Current studies with functional connectivity and linear models are limited by sacrificed temporal resolution and insufficient model capacity. With a generative variational auto encoder (VAE), the present study mapped the high-dimensional transient co-activity patterns (CAPs) of large datasets in a low-dimensional latent space. We demonstrated with multiple datasets that VAE can effectively represent the transient CAPs in latent space, paving the way for frame-wise modeling of the complex spatiotemporal dynamics in future. |
| 3498 | Classification of Alzheimer's Disease Based on Amyloid-PET using Random Forest Ensemble | |
| Yiwen Bao1, Patrick Ka-Chun Chiu2, Yat-Fung Shea2, Joseph SK Kwan3, Felix Hon Wai Chan2, and Henry Ka-Fung Mak1 | ||
1Department of diagnostic radiology, University of Hong Kong, Hong Kong, Hong Kong, 2Department of medicine, Queen Mary Hospital, Hong Kong, Hong Kong, 3Department of brain sciences, Imperial College London, London, United Kingdom |
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Random forest model as a high efficacy classifier was incorporated in our study for supporting clinical diagnosis. We aimed at evaluating the accuracy of RF model in distinguishing HC, MCI from AD and the importance of various neuroradiological features in selection. Additionally, in order to unify quantitative amyloid uptake across three cohorts, we transformed SUVR into standard Centiloid unit. The results indicated that RF model had moderate to high accuracy in differentiating AD from HC and MCI. Regional Ab load had more important effects than other features in distinguishing AD from others. |
| 3499 | Increasing Feature Sparsity in Alzheimer's Disease Classification with Relevance-Guided Deep Learning | |
| Christian Tinauer1, Stefan Heber1, Lukas Pirpamer1, Anna Damulina1, Reinhold Schmidt1, Stefan Ropele1, and Christian Langkammer1 | ||
1Department of Neurology, Medical University of Graz, Graz, Austria |
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Using T1-weighted images we separated Alzheimer's patients (n=130) from healthy controls (n=375) by using a deep neural network and found that the preprocessing steps might introduce unwanted features to be used by the classifier. We systematically investigated the influence of registration and brain extraction on the learned features using a relevance map generator attached to the classification network. The results were compared to our relevance-guided training method. Relevance-guided training identifies sparser but substantially more relevant voxels, which improves the classification accuracy. |
| 3500 | Establishment of the automated diagnostic system using MR imaging for patients with progressive supranuclear palsy based on in vivo tau imaging | |
| Hironobu Endo1, Yuhei Takado1, Kenji Tagai1, Matsuoka Kiwamu1, Manabu Kubota2, Yasunori Sano1, Keisuke Takahata1, Maiko Ono1, Chie Seki1, Hideki Matsumoto1,3, Oya Masaki1, Yoko Ikoma1, Kazunori Kawamura1, Ming-rong Zhang1, Hitoshi Shinotoh1,4, Kenichi Oishi5, Susumu Mori5, Takahiko Tokuda1, Hitoshi Shimada1, and Makoto Higuchi1 | ||
1National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, 2Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Department of Oral and Maxillofacial Radiology, Tokyo Dental College, Tokyo, Japan, 4Neurology Clinic Chiba, Chiba, Japan, 5Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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MRI-based diagnostic marker is desired for recruiting patients with progressive supranuclear palsy (PSP) for clinical trials of tau-targeting therapies. Elastic Net analysis was applied to a set of 144 MRI-VOIs (MR images-volumes of interest) to determine the VOIs useful for discriminating tau-positive PSP from healthy controls. The MRI-PSP score, calculated from the analysis, demonstrated 90.0% and 91.1% accuracy for training and validation data. The PSP rating scale correlated well with the MRI-PSP score. The MRI-PSP score calculated by an unbiased analysis system would be a promising diagnostic marker and can potentially predict disease severity in PSP. |
| 3501
|
Temporal progression patterns of white-matter degeneration in CBS and PSP identified with Subtype & Stage Inference (SuStaIn) | |
| Yuya Saito1, Peter A. Wijeratne2, Koji Kamagata1, Christina Andica1, Wataru Uchida1,3, Toshiaki Akashi1, Akihiko Wada1, Masaaki Hori4, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 4Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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Corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP) are classic clinical syndromes derived from 4R tau pathology. Differential clinical diagnosis remains difficult due to neurodegenerative overlap. Most previous studies have assessed white-matter (WM) degeneration using cross-sectional data. This study applied Subtype & Stage Inference (SuStaIn), a novel unsupervised machine-learning technique for regional WM fractional anisotropy based on cross-sectional brain diffusion MRI to identify differences in temporal progression patterns of WM degeneration between CBS and PSP. Results suggested the utility of SuStaIn for identifying temporal WM degeneration patterns in and classifying patients with CBS and PSP. |
| 3502 | CE-Net: multi-inputs contrast enhancement network for nasopharyngeal carcinoma contrast enhanced T1-weighted MR synthesis | |
| Wen Li1, Ge Ren1, Tian Li1, Haonan Xiao1, Francis Kar-ho Lee2, Kwok-hung Au2, and Jing Cai1 | ||
1Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China, 2Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China |
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To reduce the usage of gadolinium-based contrast agents (GBCAs), we proposed a deep learning based multi-inputs network (CE-Net) for contrast enhanced T1-weighted MR image synthesis based on pre-contrast T1-weighted and T2-weighted images in nasopharyngeal carcinoma (NPC) cases. When compared with multi-channel input methods, the proposed CE-Net has the ability to extract information from each input modalities separately. Supervision and multi-scale strategies are also applied in the proposed network. Quantitative and qualitative results show that our proposed CE-Net could achieve better performance when compared with the newly proposed Hi-Net and its extensions. |
| 3503 | An Analysis of the Interpretability of Neural Networks trained on Magnetic Resonance Imaging for Stroke Outcome Prediction | |
| Esra Zihni1, Bryony McGarry1,2, and John D. Kelleher1,3 | ||
1PRECISE4Q, Predictive Modelling in Stroke, Information Communications and Entertainment Institute, Technological University Dublin, Dublin, Ireland, 2School of Psychological Science, University of Bristol, Bristol, United Kingdom, 3ADAPT Research Centre, Technological University Dublin, Dublin, Ireland |
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Applying deep learning models to MRI scans of acute stroke patients to extract features that are indicative of short-term outcome could assist a clinician’s treatment decisions. Deep learning models are usually accurate but are not easily interpretable. Here, we trained a convolutional neural network on ADC maps from hyperacute ischaemic stroke patients for prediction of short-term functional outcome and used an interpretability technique to highlight regions in the ADC maps that were most important in the prediction of a bad outcome. Although highly accurate, the model’s predictions were not based on aspects of the ADC maps related to stroke pathophysiology. |
| 3504 | Volumetric assessment of patients with Glioblastoma by HUMBLe: Hierarchical 3D U-Net for MRI Brain Lesion segmentation | |
| Yuval Buchsweiler1,2, Orna Aizenstein3,4, Felix Bokstein3,5,6, Idan Bressler1,2, Netanell Avisdris2,7, Deborah T. Blumenthal3,5, Dror Limon3,8, Dafna Ben Bashat2,3,6, and Moran Artzi2,3,6 | ||
1The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel, 2Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 3Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 4Division of Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 5Neuro-Oncology Service, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 6Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 7School of computer science and engineering, Hebrew University of Jerusalem, Israel, Jerusalem, Israel, 8Division of Oncology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel |
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Brain tumor segmentation is highly important for clinical management. We propose HUMBLe, a hierarchical 3D U-Net for MRI Brain Lesion segmentation architecture. HUMBLe breaks down the segmentation into its separate classes: enhancing tumor, edema, and necrotic classes, and uses a classifier to merge the different segmentation results into a final segmentation mask. Evaluation was performed on multi-parametric longitudinal local dataset, of patients with Glioblastoma. Segmentation results obtained by HUMBLe on our cohort improved DICE scores by 7%-16% for the different tumor components, compared to segmentation performed using 3D U-Net based architecture trained on BraTS2019 and our cohort. |
| 3505 | Rapid Estimation of Multiple Diffusion Maps from Undersampled Q-Space Data: A Comparison of Three Deep Learning Approaches | |
| SeyyedKazem HashemizadehKolowri1,2, Rong-Rong Chen2, Ganesh Adluru1,3, and Edward V. R. DiBella1,2,3 | ||
1Radiology and Imaging Science, University of Utah, SALT LAKE CITY, UT, United States, 2Electrical and Computer Engineering, University of Utah, SALT LAKE CITY, UT, United States, 3Biomedical Engineering, University of Utah, SALT LAKE CITY, UT, United States |
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Advanced diffusion models enable characterization of tissue microstructure with higher specificity than conventional DTI. While beyond DTI diffusion imaging have been found valuable in many studies, their clinical availability have been hampered mainly due to their long scan times. Furthermore, each diffusion model can only extract a few relevant microstructural features. Therefore, using multiple models helps to better understand the brain microstructure, which requires multiple expensive model-fitting. In this study, we use different deep learning approaches to jointly estimate multiple advanced diffusion maps from highly undersampled q-space data, which can reduce both the scan and processing times significantly. |
| 3506 | Deep learning prediction of retrieved stroke thrombus RBC content using quantitative, multiparametric MRI | |
| Spencer D. Christiansen1,2, Junmin Liu2, Maria Bres Bullrich3, Manas Sharma4, Sachin K. Pandey4, Mel Boulton3, Luciano A. Sposato3, and Maria Drangova1,2 | ||
1Medical Biophyics, Western University, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Clinical Neurological Sciences, London Health Sciences Centre, London, ON, Canada, 4Department of Medical Imaging, Western University, London, ON, Canada |
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Thrombus red blood cell (RBC) content has been associated with ischemic stroke etiology and responsiveness to recanalization therapies, yet currently can only be analyzed through retrospective histological analysis. We evaluated the ability of a convolutional neural network for predicting thrombus RBC content using multiparametric (R2*, QSM, late echo GRE) MR image slices of retrieved stroke thrombi ex vivo. The network predicted thrombus RBC content with an accuracy and mean absolute error of up to 71 and 8%, respectively, when data augmentation was applied. This technique holds potential for in vivo RBC content prediction and improving acute stroke care. |
| 3507 | Automated assessment of paramagnetic rim lesions in multiple sclerosis patients with 3T and 7T MP2RAGE | |
| Francesco La Rosa1,2,3, Germán Barquero1,2,3, Omar Al-Louzi4, Bénédicte Maréchal1,3,5, Tobias Kober1,3,5, Jean-Philippe Thiran1,3, Pascal Sati4,6, Daniel S. Reich4, Pietro Maggi7,8, Martina Absinta4,9, Meritxell Bach Cuadra1,2,3, and Cristina Granziera10,11,12 | ||
1Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Medical Image Analysis Laboratory, Center for Biomedical Imaging (CIBM), University of Lausanne, Lausanne, Switzerland, 3Radiology Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7Department of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 8Department of Neurology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium, 9Department of Neurology, Johns Hopkins University, Baltimore, MD, United States, 10Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 11Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 12Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland |
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Paramagnetic rim lesions (PRL) in multiple sclerosis are chronic inflammatory lesions depicted in susceptibility-based MRI where high PRL lesion burden has been associated with a more aggressive disease course. As their visual detection is subjective and time-consuming, a convolutional neural network (RimNet) has recently been developed and applied to 3T susceptibility contrast MR images. In this work, we evaluate a unimodal RimNet architecture based on either the MP2RAGE uniform contrast or the concurrently obtained T1 map at both 3T and 7T. Results show that prediction improves considerably at 7T, suggesting that 7T MP2RAGE might be helpful for automatically identifying PRL. |
| 3508 | Performance evaluation of machine learning algorithms for multiple sclerosis phenotype classification using 7-Tesla MRI and clinical features | |
| Seongjin Choi1 and Daniel M Harrison1,2 | ||
1Neurology, University of Maryland School of Medicine, Baltimore, MD, United States, 2Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Three machine-learning algorithms were evaluated in the multiple sclerosis phenotype classification of a relatively small cohort. High accuracy of multiple-sclerosis phenotype classification was achievable by applying tree-based ensemble methods to integrated 7T MRI and clinical data features. Feature integration did not guarantee performance improvements in all machine learning algorithms evaluated. Features considered important may vary depending on the classification algorithm used. |
| 3509 | Parkinson’s Disease Subtype Identification Using Radiomics Based on Iron Deposition in Substantia Nigra | |
| Zhijia Jin1, Ruiqi Yu2, Chenglong Wang2, Naying He1, Yan Li1, Zenghui Cheng1, Yida Wang2, Mark E. Haacke1,3,4,5, Guang Yang2, and Fuhua Yan1 | ||
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 3Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 4Department of Radiology, Wayne State University, Detroit, MI, United States, 5Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States |
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A total of 104 Parkinson’s disease (PD) patients and 269 age- and sex-matched healthy controls (HCs) were scanned using 3D multi-echo gradient echo MTC sequence. In this work, a data-driven clustering approach based on iron deposition in the substantia nigra (SN) measured by quantitative susceptibility mapping (QSM) was performed to classify the PD patients into different subtypes. The clinical assessments were compared between subtype groups. Two subtypes were found by using this clustering approach. Furthermore, there are significant differences (p-values < 0.05) on MDS-UPDRS scores between these two subtype groups. |
| 3510 | A comparison of three whole brain segmentation methods for in vivo manganese enhanced MRI in animal models of Alzheimer’s disease | |
| Igor Varga1,2, Hae Sol Moon3, Adam Conrad4, Matthew Holbrook3, Andrei R Niculescu5, Abinaya Lakshmanan3, Robert J Anderson5, Christina L Williams6, Cristian T Badea3,5, Po-Wah So2, and Alexandra Badea3,5,7,8 | ||
1Department of Cybernetics, Czech Technical University, Prague, Czech Republic, 2Department of Neuroimaging, King's College London, London, United Kingdom, 3Biomedical Engineering, Duke University, Durham, NC, United States, 4Georgia Institute of Technology, Atlanta, GA, United States, 5Radiology, Duke University Medical Center, Durham, NC, United States, 6Psychology and Neuroscience, Duke University, Durham, NC, United States, 7Neurology, Duke University, Durham, NC, United States, 8Brain Imaging and Analysis, Duke University Medical School, Durham, NC, United States |
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Whole mouse brain segmentation is an essential prerequisite for multiple quantitative image analysis tasks and pipelines. In this work, we compare three methods for whole brain segmentation (skull stripping) relying on active contours, graph cuts and convolutional neural networks. We applied these methods on mouse brain manganese enhanced MR images acquired at 100 micrometre isotropic resolution, in vivo. All three methods achieved Dice coefficients larger than 94%, but convolutional neural networks achieved a small but significant improvement (0.97±0.01) over our active contours implementation (0.94±0.05) and the difference approached significance relative to graph cuts (0.96±0.01). |
| 3511 | Novel machine learning method for clinically significant cortical lesion detection in multiple sclerosis | |
| Eve L Kazarian1, Mariam S Aboian1, and John D Port2 | ||
1Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States |
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A novel tree-based machine learning model was applied to head MR imaging scans from multiple sclerosis (MS) patients in order to detect cortical gray matter lesions. Cortical lesions are strong indicators of MS disability yet are not easily visualized in clinical practice. The model was useful for accurately detecting cortical lesion presence (AUC of 0.78 ± 0.02). |
| 3512 | Multi-class Deep Learning Glioma Segmentation in Hospital Data with Missing Sequences | |
| Jiaming Wu1, Hugh G. Pemberton1,2, Ivar Kommers3, Domenique M.J. Müller3, Sjoerd B. Vos1,2, Ferran Prados1,2, Yipeng Hu1, Pierre A. Robe4, Hilko Ardon5, Lorenzo Bello6, Marco Rossi6, Tommaso Sciortino6, Marco Conti Nibali 6, Mitchel S. Berger7, Shawn L. Hervey-Jumper7, Wim Bouwknegt8, Wimar A. Van den Brink9, Julia Furtner10, Seunggu J. Han11, Albert J. S. Idema12, Barbara Kiesel13, Georg Widhalm13, Alfred Kloet14, Michiel Wagemakers15, Aeilko H. Zwinderman16, Sandro M. Krieg17,18, Emmanuel Mandonnet19, Philip de Witt Hamer3, Roelant S. Eijgelaar3, and Frederik Barkhof1,20 | ||
1Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 2Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands, 4Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands, 5Department of Neurosurgery, St. Elisabeth Hospital, Tilburg, Netherlands, 6Neurosurgical Oncology Unit, Departments of Oncology and Hemato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy, 7Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States, 8Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, Netherlands, 9Department of Neurosurgery, Isala Hospital, Zwolle, Netherlands, 10Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria, 11Department of Neurological Surgery, Oregon Health and Science University, Portland, OR, United States, 12Department of Neurosurgery, Northwest Clinics, Alkmaar, Netherlands, 13Department of Neurosurgery, Medical University Vienna, Vienna, Austria, 14Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands, 15Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, Netherlands, 16Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, Netherlands, 17TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 18Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 19Department of Neurosurgery, Lariboisière Hospital, APHP, Paris, France, 20Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands |
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Accurate segmentation and morphological assessment of glioma can guide treatment and support follow-up. The Brain Tumour Segmentation (BraTS) challenge has been instrumental in promoting research and comparing various automated segmentation algorithms. However, models in the challenge are trained and measured on a strictly curated and high-quality dataset, which is not representative of clinically acquired MRI data. Therefore, we have tested the generalisability of three network architectures from two of the top performing BraTS challenge models. We show the utility of these models in the presence of missing sequences and different scanners in multi-centre hospital data of varying quality. |
| 3513 | Aberrant white matter networks in methamphetamine-dependent patients and its application in support vector machine-based classification | |
| Yadi Li1, Ping Cheng1, Pu-Yeh Wu2, Wenwen Shen3, Huifen Liu4, Jianbing Zhang4, Haibo Dong1, and Wenhua Zhou 3 | ||
1Department of Radiology, Ningbo Medical Treatment Center Lihuili Hospital, Ningbo University, Ningbo, China, 2GE Healthcare,Beijing,China, Beijing, China, 3Laboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Ningbo, China, Ningbo, China, 4Ningbo Addiction Research and Treatment Center, Ningbo, China, Ningbo, China |
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This is a pilot study of the weighted white matter (WM) network in MA-dependent patients. By combining DTI-based probabilistic tractography and graph theory, the WM networks of MA-dependent patients presented small-worldness, and these networks tend to be random networks. The network metrics, that presented inter-group differences were used to construct a support vector machine, that achieved an excellent performance in discriminating MA-dependent patients from normal controls. Overall, the current study demonstrated that MA dependence is associated with abnormal network metrics, and these metrics can be promising features to train a classifier which need further verification with a larger sample size. |
| 3514 | Machine Learning-based Analysis of Heterogeneous, Multi-center MR Datasets: Impact of Scan Variability | |
| Mariana Bento1,2, Justin Park2,3, and Richard Frayne1 | ||
1Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 2Calgary Image Processing and Analysis Centre, Foothills Medical Centre, Calgary, AB, Canada, 3Mechanical Engineering, University of Calgary, Calgary, AB, Canada |
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Multi-centre heterogeneous imaging datasets are frequently required to develop image-based computer-aided diagnosis and treatment monitoring tools. However, these datasets may present large underlying variability, potentially impacting the performance of the developed tools. Here, as a proof-of-concept, we propose a machine learning method to study scan variability related to the scanner vendor and magnetic field strength in brain MR images from two cohorts of healthy subjects. Our model has high accuracy rates (>92%), confirming the presence of scan variability in heterogeneous, multi-centre datasets. This model may be further incorporated into automated diagnostic tools, potentially allowing more reliable and robust results. |
| 3515 | Automatic segmentation of fetal brain components from MRI using deep learning | |
| Ori Ben Zvi1,2, Netanell Avisdris1,3, Bossmat Yehuda1,2, Daphna Link Sourani1, Leo Joskowicz3, Elka Miller4, Liat Ben Sira2,5, and Dafna Ben Bashat1,2,5 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center; Israel, Tel Aviv, Israel, 2Sagol School of Neuroscience, Tel Aviv University; Israel, Tel Aviv, Israel, 3School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel, Jerusalem, Israel, 4Medical Imaging, Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, Canada, Ottawa, ON, Canada, 5Sackler Faculty of Medicine, Tel Aviv University; Israel, Tel Aviv, Israel |
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Segmentation of the fetal brain into its components is important for quantitative assessment of fetal development. This study proposes a fully automatic method based on deep learning for fetal brain segmentation into six components, including a separation of right and left hemispheres. The method’s performance demonstrated high Dice scores for all brain components and robustness to different contrasts, scan resolutions, gestational age and fetal brain pathologies. Preliminary results demonstrated significant larger ventricle’s volumes and asymmetry in fetuses with ventriculomegaly compared to normal fetuses. The method is suggested to improve fetal assessment and assist radiologists in routine clinical practice. |
| 3516 | Task-aware 3D-Convolutional Neural Networks for Detailed Brain Parcellation | |
| Junchuan Peng1, Yashi Nan1, Li Zhao2, Huanhui Xiao1, and Silun Wang1 | ||
1YIWEI Medical Technology Co., Ltd, Shenzhen, China, 2College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China |
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Morphological changes in neurodegenerative diseases can be detected with structural MR images, but it requires detailed brain parcellation. Therefore, a task-aware V-Net was proposed to segment the brain into 40 regions. Task-aware features were achieved by three cascading branches, including brain and non-brain regions, 25 regions with the bilateral regions grouped, and 40 regions, respectively. The proposed model was developed on 8938 subjects and validated using additional196 subjects. The proposed method outperformed the typical 3D U-Net and V-Net, and achieved state-of-the-art results on both datasets with a mean Dice score of 0.886 ± 0.029 and 0.874 ± 0.013, respectively. |
| 3517 | Brain atrophy and machine learning algorithms on the prediction of dementia development | |
| Pedro Henrique Rodrigues da Silva1, Kaio Felippe Secchinato1, Julia Palaretti1, and Renata Ferranti Leoni1 | ||
1USP, Ribeirão Preto, Brazil |
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A challenging issue regarding the early diagnosis of the Alzheimer's disease (AD) is the selection of biomarkers. In this study, we aimed to classify cognitively normal elderly regarding the possibility to develop AD based on brain atrophy and neuropsychological scores, and using supervised machine learning algorithms. Our results suggest Naïve-Bayes (NB) classifiers with left postcentral and left middle temporal cortical thickness or right lateral ventricle, right inferior parietal and Corpus Callosum (CC) Mid Posterior volumes can be useful to identify in the early stage the subjects with higher risks to develop AD. |
| 3518 | Clinical Application of Twelve-fold Accelerated Submillimeter Whole Brain 3D-T2 weighted Imaging with Deep Learning Reconstruction | |
| Yasutaka Fushimi1, Satoshi Nakajima1, Akihiko Sakata1, Takuya Hinoda1, Sonoko Oshima1, Sayo Otani1, Krishna Pandu Wicaksono1, Hiroshi Tagawa1, Yang Wang1, Masahiro Nambu2, Rimika Imai2, Koji Fujimoto3, Hitomi Numamoto4, Kanae Miyake4, Tsuneo Saga4, and Yuji Nakamoto1 | ||
1Kyoto University Hospital, Kyoto, Japan, 2MRI Systems Division, Canon Medical Systems Corporation, Otawara, Japan, 33. Department of Real World Data Research and Development, Kyoto University Graduate School of Medicine, Kyoto, Japan, 4Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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Twelve-fold accelerated submillimeter 3D-T2 weighted imaging with DLR and imaging quality and sharpness of cranial nerves were examined. |
| 3519 | Machine Learning-based Features of DKI to Evaluate and Automate Alzheimer’s Disease and amnestic mild cognitive impairment Diagnoses | |
| Yu Zhang1, Tongtong Li1, Xiuwei Fu2, Xianchang Zhang3, Yuan Luo4, and Hongyan Ni5 | ||
1First Central Clinical College, Tianjin Medical University, Tianjin, China, 2Tianjin Medical University General Hospital, Tianjin, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Department of Radiology, China-Japan Friendship Hospital, Beijing, China, 5Department of Radiology, Tianjin First Central Hospital, Tianjin, China |
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The early diagnoses of Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI) are crucial. This study aimed to acquire new imaging markers to assess the severity of AD and provide early diagnoses using machine learning algorithm. Diffusion kurtosis imaging (DKI) parameters were acquired on 58 AD patients, 64 aMCI patients, and 60 healthy volunteers. It’s found that radial diffusivity value of right uncinate fasciculus was the most important feature for assessing severity. The random forest classifier showed the highest diagnostic efficacy for AD. The RF classifier can provide an early diagnosis of disease based on the quantitative DKI features. |
| 3520 | Brain Gray Matter Nuclei Segmentation on Quantitative Susceptibility Mapping using Convolutional Neural Network | |
| Chao Chai1, Pengchong Qiao2, Bin Zhao2, Huiying Wang3, Guohua Liu2, Hong Wu2, E.Mark Haacke4, Wen Shen1, Xinchen Ye5, Zhiyang Liu2, and Shuang Xia1 | ||
1Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China, 2Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China, 3Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China, 4Department of Radiology, Wayne State University, Detroit, MI, United States, 5DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China |
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This study focused on developing an automatic gray matter nuclei segmentation method. A 3D convolutional neural network based method was proposed, which adopted patches with different resolutions as input for segmentation. Experimental results showed much higher segmentation accuracy over the atlas-based method and other deep-learning-based methods in terms of both the similarity and the surface distance metrics. The segmentation results of the proposed method is also evaluated in terms of measurement accuracy, where the proposed method achieves the highest consistency with the manual delineations. |
| 3693
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Whole-brain B1-corrected quantitative MT imaging in less than 5 minutes | |
| Roya Afshari1,2, Francesco Santini1,2, Rahel Heule3,4, Craig Meyer5, Josef Pfeuffer6, and Oliver Bieri1,2 | ||
1Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Department of High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 4Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 5Department of Biomedical Engineering, University of Virginia, Virginia, VA, United States, 6Department of Application Development, Siemens Healthcare, Erlangen, Germany |
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To develop a rapid quantitative magnetization transfer (qMT) imaging methodology that offers whole brain coverage and takes into account B1-field inhomogeneities for improved parameter estimation accuracy in the clinical setting. |
| 3694 | Insignificant contribution of blood to NOE(-1.6) | |
| Jing Cui1, Yu Zhao1, Feng Wang1, Junzhong Xu1, Daniel Gochberg1, John Gore1, and Zhongliang Zu1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States |
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We evaluated the contribution of blood to the NOE(-1.6) from rat brains by using two blood suppression approaches: (1) signal acquisition with a diffusion-weighting of b=400s/mm2; (2) intravascular injection of 5mg/kg MION, and by measurements on an ex vivo blood sample. Results show that the NOE(-1.6) does not change significantly with diffusion weighting and is relatively weaker in ex vivo blood than that in brain, but decreases significantly in vivo after injection of MION. This study suggests that NOE(-1.6) is not mainly from blood, and that MION particles alter the NOE(-1.6) but have much weaker effects on other CEST effects. |
| 3695 | The Effect of Cariporide on Tumour Intracellular pH: A Study in Rat C6 Glioma using AACID-CEST-MRI | |
| Maryam Mozaffari1,2, Nivin Nystrom1,2, Alex Li1, Miranda Bellyou1, Timothy Scholl1,2, and Robert Bartha1,2 | ||
1Robarts Research Institute, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada |
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The results of this study suggest the non-invasive assessment of tissue pH may provide value for monitoring the progression of diseases such as brain cancer that involve pH modification. This study also demonstrates that tissue acidification in a rat C6 glioma model and in contralateral tissue can be measured following drug injection by endogenous pH-weighted contrast produced by CEST-MRI. It is noteworthy that drugs like cariporide can acidify tumours and normal tissue. However, such drugs could enhance the efficacy of existing standard treatments in different human malignancies. |
| 3696 | Numerical Fit of Extrapolated Semisolid Magnetization Transfer Reference Signal (NEMR) for Improved pH-Weighted Imaging of Ischemic Stroke | |
| Xingwang Yong1, Shanshan Lu2, Yi-Cheng Hsu3, Yi Sun3, Dan Wu1, and Yi Zhang1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China, 2The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China |
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Amide proton transfer (APT) imaging can detect pH-related changes in ischemic stroke lesions. However, the widely-used magnetization transfer ratio asymmetry (MTRasym) analysis method is susceptible to various contamination sources. Here we improved the previous extrapolated semisolid magnetization transfer reference (EMR) method by numerical fitting of the EMR signal (NEMR) in the modified Bloch-McConnel equation. The proposed NEMR method was compared with the previous EMR method in Monte Carlo simulations, demonstrating superior accuracy. Furthermore, the NEMR maps were compared with EMR and MTRasym maps in nine ischemic stroke patients, yielding a better depiction of the ischemic lesions. |
| 3697 | Promising nerve imaging biomarkers for applications in inherited neuropathies | |
| Alison R Roth1, Jun Li2, and Richard Dortch1 | ||
1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 2Neurology, Wayne State University, Detroit, MI, United States |
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Five magnetization transfer (MT) imaging metrics extracted from the sciatic nerve (magnetization transfer ratio (MTR), cross-sectional area (CSA), circularity, eccentricity, and nerve fascicle density) were assessed for their ability to act as imaging biomarkers in patients with inherited neuropathies. |
| 3698 | Using Glutamate-Weighted MR Imaging (GluCEST) to Detect Effects of Transcranial Magnetic Stimulation | |
| Abigail T.J. Cember1, Benjamin Deck2, Jared Zimmerman3, Brian Erickson2, Apoorva Kelkar2, Olufunsho Faseyitan3, Mark Elliott1, Ravinder Reddy1, and John D. Medaglia2 | ||
1Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Psychology, Drexel University, Philadelphia, PA, United States, 3Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States |
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GluCEST was used to measure the effects of transcranial magnetic stimulation (TMS) to the motor cortex in healthy volunteers. Volunteers were scanned before and after stimulation or a sham, non-stimulating procedure. The data were analyzed by registering gluCEST maps to a cortical gray matter segmentation from Freesurfer and performing regional analysis. We find that this form of TMS, known as continuous theta-burst stimulation, had a consistent but non-local effect of decreasing the gluCEST signal in the brains of volunteers who received the stimulation in comparison to those who received a sham (placebo) procedure. |
| 3699 | A digital human head phantom for validation of retrospective motion correction in glucoCEST MRI | |
| Patrick M. Lehmann1, Mads Andersen2, Anina Seidemo1, Xiang Xu3,4, Xu Li4,5, Nirbhay Yadav4,5, Ronnie Wirestam1, Frederik Testud6, Patrick A. Liebig7, Pia C. Sundgren8,9, Peter C. M. van Zijl4,5, and Linda Knutsson1,4 | ||
1Department of Medical Radiation Physics, Lund University, Lund, Sweden, 2Philips Healthcare, Copenhagen, Denmark, 3BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 6Siemens Healthcare AB, Malmö, Sweden, 7Siemens Healthcare GmbH, Erlangen, Germany, 8Department of Radiology, Lund University, Lund, Sweden, 9Lund University Bioimaging Centre, Lund University, Lund, Sweden |
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D-glucose was recently suggested as a CEST-based biodegradable alternative to gadolinium-based contrast agents. Dynamic glucose-enhanced (DGE) MRI can retrieve information about glucose uptake, determined by tissue perfusion, transport, and metabolism. Motion artefacts in DGE-MRI can be mistaken for CEST effects, while motion correction may erroneously alter true DGE signal. A digital human head phantom based on a realistic glucose infusion protocol was developed to analyse motion artefacts and validate rigid-head retrospective motion correction. This phantom can be used for testing different correction approaches using various motion patterns and contrast responses to better understand these effects in vivo. |
| 3700 | Volumetric glutamate-weighted MR imaging (gluCEST) enables in vivo detection of metabolic differences between human hippocampal subfields | |
| Abigail T.J. Cember1, Ravi Prakash Reddy Nanga1, Hari Hariharan1, Neil E. Wilson2, Puneet Bagga3, and Ravinder Reddy1 | ||
1Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Siemens Medical Solutions, USA, Malvern, PA, United States, 3Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States |
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We performed volumetric (3D) gluCEST with novel post-processing to image a slab containing the medial temporal lobe (MTL) in healthy human subjects. This data was segmented using a 7T atlas for hippocampal subfields. Upon further regional analysis, it was found that statistically significant differences exist between the mean gluCEST of MTL subfields; most prominently, that the dentate gyrus has greater gluCEST contrast than neighboring regions. We believe after some preliminary validation that this trend is independent of the B1 distribution or other variables. Moreover, it corroborates existing models of brain physiology identifying the DG as the locus of neurogenesis. |
| 3701 | Automated CEST Measurements for the Lateralization of Epileptic Foci in Temporal Lobe Epilepsy at 3 T | |
| Qingqing Wen1, Kang Wang2, Wenqi Wang1, Yi Sun3, Dan Wu1,2, and Yi Zhang1,2 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Neurology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China |
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Chemical Exchange Saturation Transfer (CEST) imaging at 3T was applied to patients with temporal lobe epilepsy (TLE). Hippocampus and amygdala were automatically segmented, and then the magnetization transfer ratio asymmetry (MTRasym), T1, and T2 values in these regions of interest were determined. It was found that MTRasym in the hippocampus and amygdala was much more accurate than the quantitative T1 and T2 maps in predicting the seizure laterality, with an AUC value of 0.80 and a success rate of 17/20. The study indicated that CEST at 3T could potentially aid the clinical assessment of the epileptic foci in TLE patients. |
| 3702 | ihMT Analysis of Myelin in the Shiverer Mouse Brain | |
| Choong Heon Lee1, Piotr Walczak2, and Jiangyang Zhang1 | ||
1Radiology, NYU Medical Center, New York, NY, United States, 2University of Maryland School of Medicine, Baltimore, MD, United States |
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Although multiple MRI techniques have been developed to detect and monitor myelin loss and repair, their sensitivity to myelin is often impaired by the underlying pathology. In this study, we demonstrate that inhomogeneous magnetization transfer (ihMT) can detect residual non-compact myelin in the context of hypercellular white matter in the dysmyelinating shiverer mouse model with optimized imaging parameters, whereas conventional MT show no apparent contrast. This result suggests that ihMT has higher sensitivity to myelin than conventional MT in the presence of cell infiltrations. |
| 3703 | The value of Amide Proton Transfer weighted and Dynamic Contrast-Enhanced imaging in peritumoral edema assisted grading of gliomas | |
| Xinying Ren1, Yujing Li1, Rui Wang1, Tao Wen1, Diaohan Xiong1, Pengfei Wang1, Guangyao Liu1, Jing Zhang1, and Kai Ai2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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The study was to quantitatively analyze the peritumoral infiltration assisted gliomas grading by using amide proton transfer (APT) and dynamic contrast-enhanced imaging (DCE). Although many scholars use APT and DCE to help grading gliomas, but few of them pay attention to the peritumoral area. This research investigated the relationship between APT and DCE based Ktrans value in peritumoral. The results show that these two parameters are significantly correlated. Therefore, the APT and Ktrans value of peritumor edema in gliomas may be used to differentiate glioma grades, and APT value performs better in distinguishing grade Ⅱ and Ⅲ. |
| 3704 | Discrimination of IDH1 Genotype and 1p/19q Status in Glioma: A comparison study between Arterial Spin Labeling and Amide Proton Transfer imaging | |
| DiaoHan Xiong1, Rui Wang1, Tao Wen1, Yujing Li1, Xinying Ren1, Pengfei Wang1, Guangyao Liu1, Jing Zhang1, and Kai Ai2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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We investigated the association of amide proton transfer weighted imaging (APTw) and 3D arterial spin label (3D-pCASL) with IDH1 Genotype and 1p/19q Status in gliomas，then compared the two methods. All patients underwent MR examination, including APT and 3D-pCASL scan to get their values of the solid part. The results showed both APTw and 3D-pCASL had predictive values on IDH1 Genotype and 1p/19q Status in gliomas, and the performance of 3D-pCASL was better. We conclude that both APTw and 3D-pCASL can be used to predict the gene type of IDHin high-grade and 1p/19q co-deletion of gliomas before surgery, meanwhile 3D-pCASL is the better choice. |
| 3705 | Potential feasibility of new parameters on CEST imaging by multi pool model in relation to 11C-MET uptake on PET/CT and IDH1 mutation in gliomas | |
| Yasukage Takami1, Naruhide Kimura1, Katsuya Mitamura1, Takashi Norikane1, Keisuke Miyake2, Tatsuya Yamasaki3, Kazuo Ogawa3, Mitsuharu Miyoshi4, and Yoshihiro Nishiyama1 | ||
1Department of Radiology, Faculty of Medicine, Kagawa University, Miki-cho, Japan, 2Department of Neurological Surgery, Faculty of Medicine, Kagawa University, Miki-cho, Japan, 3Department of Clinical Radiology, Kagawa University Hospital, Miki-cho, Japan, 4Global MR Applications & Workflow, GE Healthcare Japan, Hino-shi, Japan |
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The purpose of this study was to evaluate the correlation between parameters on CEST imaging by multi pool model and 11C-methionine (MET) uptake on PET/CT in gliomas. The maximum and mean values of the parameters on CEST imaging were measured. 11C-MET uptake was semiquantitatively assessed using tumor-to-contralateral normal brain tissue (T/N) ratio. Several correlation coefficients between MTRasym and T/N ratio, and APT_T1 and MET T/N ratio were relatively high, but not statistically significant. These preliminary results suggest that parameters on CEST imaging by multi pool model seems to correlate with 11C-MET uptake on PET/CT in patients with gliomas. |
| 3706 | Amide proton transfer-weighted MR imaging in the rat brain of demyelination and remyelination | |
| Do-Wan Lee1, Hwon Heo2, Chul‐Woong Woo3, Jae-Im Kwon3, Joongkee Min3, Monica Young Choi2, Yeon Ji Chae2, Dong‐Cheol Woo2,3, Kyung Won Kim1, Jeong Kon Kim1, Hyo Jeong Chin4, and Dong‐Hoon Lee4 | ||
1Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 2Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 4Department of Radiological Science, College of Health Sciences, Yonsei University, Wonju, Korea, Republic of |
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Investigations of amide proton signal changes in the white matter of demyelinating diseases may provide important biophysical information for diagnostic and prognostic assessments. We attempted to evaluate in vivo APTw signal changes within the CC in a reversible cuprizone-induced demyelination rat model using amide proton transfer-weighted (APTw) MRI at 7-T. We also used immunohistochemical staining to characterize demyelinating and remyelinating activity in the CC following myelin and axon changes. Significant APTw metric changes coupled with the histological characteristics of the demyelination and remyelination processes indicate the potential usefulness of APTw 7T MRI to monitor earlier myelination processes. |
| 3707 | CEST and AREX data processing based on deep neural network: application to image Alzheimer’s disease at 3T | |
| Jianpan Huang1, Joseph H. C. Lai1, Kai-Hei Tse2, Gerald W.Y. Cheng2, Xiongqi Han1, Yang Liu1, Zilin Chen1, Lin Chen3,4, Jiadi Xu3,4, and Kannie W. Y. Chan1,4,5 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 2Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is a promising molecular imaging technology. Apparent exchange-dependent relaxation (AREX) provides CEST contrast with less influence of T1. Here, deep neural network based CEST/AREX analysis methods (CESTNet/AREXNet) were applied to analyze the CEST data of normal and AD mouse brains at 3T. Significant lower amide proton transfer/magnetization transfer (APT/MT) signals related to amyloid β-peptide (Aβ) plaque depositions, which were validated by immunohistochemistry results, were detected in Alzheimer’s disease (AD) mouse brains compared to age-matched wild type (WT) mouse brains. The well-established CESTNet/AREXNet have great potential to facilitate AD identification at 3T. |
| 3708 | CEST imaging with neural network fitting of the human brain at 3T | |
| Zhichao Wang1, Yu Zhao2, Xu Yan3, Zhongshuai Zhang3, Caixia Fu3, Hui Tang4, and Jianqi Li1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China, 4Department of Radiology, Renji Hospital affiliated to Shanghai Jiao Tong University Medical College, Shanghai, China |
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Chemical exchange saturation transfer (CEST) imaging shows great potential in clinical application. Separating the nuclear Overhauser enhancement (NOE) and amide proton transfer (APT) effects properly is highly valuable for clinical application of CEST. In this study, the background Z-spectra including only the magnetization transfer and direct saturation effects was fitted by using neural network, then CEST and NOE maps were obtained simultaneously. The reproducibility and feasibility of new method were demonstrated in four healthy volunteers and two patients with ischemic stroke. |
| 3709 | Differentiation of Radiation Necrosis from Tumor Progression in Brain Metastasis Treated with Stereotactic Radiosurgery using CEST at 3T | |
| Rachel W Chan1, Hatef Mehrabian1, Hany Soliman2, Hanbo Chen2, Aimee Theriault2, Sten Myrehaug2, Chia-Lin Tseng2, Jay Detsky2, Wilfred W Lam1, Angus Z Lau1,3, Gregory J Czarnota1,2,3, Arjun Sahgal2, and Greg J Stanisz1,3,4 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Medical Biophysics, Sunnybrook Research Institute, Toronto, ON, Canada, 4Department of Neurosurgery and Pediatric Neurosurgery, Medical University, Lublin, Poland |
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Stereotactic radiosurgery (SRS) is the standard of care treatment for patients with limited brain metastases; however radiation necrosis can develop. Standard clinical approaches have limited ability in differentiating radiation-induced changes from tumor progression. This work examines the performance of CEST metrics (MTRAmide and MTRrNOE) at 3T for differentiating radiation necrosis from tumor progression, extending a previous study to include higher saturation power (using B1=2.0μT) with added multivariable logistic regression. Results in 24 lesions showed that both saturation powers (0.52μT and 2.0μT) could distinguish tumor progression from radiation necrosis, with the MTRAmide(0.52μT) parameter selected from multivariable modelling with AUC=0.91. |
| 3710 | Differentiating PD and MSA-P with Neuromelanin and Iron Simultaneously Using a Single 3D Magnetization Transfer Sequence | |
| Yu Liu1, Junchen Li2, Ying Wang3, Naying He1, Zhijia Jin1, Pei Huang4, Shengdi Chen4, Fuhua Yan1, and Ewart Mark Haacke3 | ||
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Department of Radiology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China, 3Wayne State University, Detroit, MI, United States, 4Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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MSA with a parkinsonian variant (MSA-P) and PD share many common clinical presentations, such as parkinsonism and autonomic failure to mention just a few. The early differential diagnosis of these two disorders has been established more or less empirically despite a lack of a subjective, satisfactory biomarker. Neuroimaging has revolutionized in-vivo visualization of neuromelanin and iron in the substantial nigra (SN), which has been considered as the primary and predominant pathophysiological change in PD patients. We found significant neuromelanin changes in the SN in patients with MSA-P compared with PD and HC. |
| 3711 | Comparison of Capability for Molecular-Based Assessment between 3D Gradient Echo-Based and 2D Spin Echo-Based CEST Imaging for Brain Tumors | |
| Kazuhiro Murayama1, Yoshiharu Ohno2, Masao Yui3, Kaori Yamamoto3, Masato Ikedo3, Satomu Hanamatsu2, Akiyoshi Iwase4, Takashi Fukuba4, and Hiroshi Toyama2 | ||
11) Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 2Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Radiology, Fujita Health University Hospital, Toyoake, Japan |
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No major reports have been evaluated the capability for the molecular-based assessment by 3D chemical exchange saturation transfer (CEST) imaging and compared with 2D CEST imaging. We hypothesized that 3D CEST imaging had equal or better potential for the molecular-based assessment in various brain tumor patients, when compared with 2D CEST imaging. The purpose of this study was to directly compare the capability for molecular-based assessment between 2D and 3D CEST imaging in patients with various brain tumors. |
| 3712 | Prediction of the response to induction chemotherapy using Amide Proton Transfer MRI in nasopharyngeal carcinoma | |
| Guixiao Xu1, Hui Li1, Yueming Yuan2, Liangru Ke1, Yun He1, Yanlin Zhu1, Liyun Zhen2, Yingyi Huang1, Chuanmiao Xie1, and Yongming Dai2 | ||
1Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Guangzhou, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Nasopharyngeal carcinoma (NPC) prevails in Southeast Asia. Induction chemotherapy (IC) is recommended as the effective treatment for patients with NPC. However, not all patients respond well to IC. Pretreatment identification of the non-responders may help to make treatment more personalized. The amide proton transfer (APT) MRI can give contrast due to exchangeable backbone amide protons of endogenous mobile proteins and peptides, and APT value in tumor has been reported higher. Therefore, the aim of this study is to evaluate whether APT value before treatment correlate to IC response in NPC. |
| 3713 | Fast High-Resolution 1H-MRSI of the Human Brain at 7T | |
| Rong Guo1,2, Yibo Zhao1,2, Yudu Li1,2, Pallab Bhattacharyya3, Mark Lowe3, Hannes M. Wiesner 4, Yao Li5, Xiao-Hong Zhu4, Wei Chen4, and Zhi-Pei Liang1,2 | ||
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 4Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 5School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Ultrahigh field systems provide significant SNR benefits to MRSI, but also bring new challenges for accelerated MRSI due to increased spectral bandwidth and larger B0/B1 inhomogeneities. We have managed to overcome these problems and developed a SPICE-based data acquisition and processing technique for rapid, high-resolution spectroscopic imaging of the human brain without water-suppression at 7T. The proposed method can simultaneously obtain metabolite signals at 3.0×3.0×3.0 mm3 resolution and companion water signals at 1.0×1.0×3.0 mm3 resolution with high SNR in a single 8 min scan. |
| 3714
|
GABA Inhibition Enhances in Epilepsy Associated with Focal Cortical Dysplasia | |
| Tao Gong1, Yufan Chen1, Liangjie Lin2, Youting Lin3, and Guangbin Wang1 | ||
1Shandong Medical Imaging Research Institute, Shandong University, Jinan, China, 2Philips Healthcare, Beijing, China, 3Departments of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China |
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The aim of this study was to investigate the metabolic dysfunction of FCD associated epilepsy using Edited MRS. 14 patients and 14 age- and sex-matched healthy controls underwent MR scans, including Hadamard Encoding and Reconstruction of Mega-Edited Spectroscopy (HERMES). The results indicated that GABA levels were significantly increased in epilepsy focal region of patients compared with contralateral regions and healthy controls, while no significant alterations were found in GSH and Glx levels. GABAergic inhibition enhances in FCD foci suggested that GABA may play a central role in the pathophysiology of FCD associated epilepsy. |
| 3715 | Multimodal 1H-MRSI and 18F-FDG-PET in Temporal Lobe Epilepsy | |
| Lihong Tang1, Hui Huang1, Miao Zhang2, Yibo Zhao3,4, Rong Guo3,4, Yudu Li3,4, Zhi-Pei Liang3,4, Wei Liu5, Yao Li1, Biao Li2, and Jie Luo1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 4Beckman Institute for Advanced Sciences and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States, 5Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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NAA decrease and FDG low uptake in cortical and subcortical regions of the limbic system are among the most common findings in temporal lobe epilepsy (TLE) patients. In addition, tissue susceptibility changes in the deep nuclei, myelin water fraction and NAA decrease in white matter bundles might offer complementary information for lateralization. We demonstrated the feasibility of simultaneous high-resolution 1H-MRSI (2.0 x 3.0 x 3.0 mm3), MWF, QSM, and 18F-FDG-PET and investigated potential of the multimodal information for detecting metabolic and microstructural changes in subcortical, cortical and white matter regions for TLE, with results consistent with literature for each modality. |
| 3716 | Dopamine Directional Circuits Detected by Metabolic Effective Connectivity and Granger Causality using Integrated PET/MR | |
| Lei Wang1, Longxiao Wei1, and Menghui Yuan1 | ||
1Nuclear Medicine, Tangdu Hospital of Air Force Medical University, Xi'an, China |
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The commonly used granger causality (GC) and the metabolic effective connection (MEC) methods, had been compared the efficacy in identifying the directional pathways of dopamine system on the base of simultaneous PET/MR data. GC and MEC both identified different directed pathways of dopamine system. GC identified more long pathways from cortex to nucleus than MEC, while MEC did better job in identifying subtentorial pathways. The unidirectional frontostriatal pathways identified by MEC was more inline with existing researches than GC, the latter reported bidirectional interaction pathways there. MEC was recommended in region-wise research when PET/MR is available. |
| 3717 | Simultaneous 3D 1H-MRSI and PET Imaging Associates Neurometabolism with Beta-amyloid Aggregation in Alzheimer's Disease | |
| Jialin Hu1, Miao Zhang2, Yaoyu Zhang1, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Ziyu Meng1, Biao Li2, Jun Liu5, Binyin Li5, Jie Luo1, Chao Ma6, Georges El Fakhri6, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 6Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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Beta-amyloid (Aβ) aggregation and neurometabolic changes are biomarkers for Alzheimer’s disease (AD) at early stage. But their underlying relationship in association with AD pathology is still not fully understood. In this study, we simultaneously acquired 3D high-resolution MRSI using SPICE and 18F-AV45-PET images on a PET-MR scanner. Concurrent changes in neurometabolite concentrations and Aβ deposition in healthy control, mild cognitive impairment, and AD groups were compared. An increase in myo-inositol and a decrease in N-acetylaspartate were found as dementia became more severe. Our findings may lay a foundation for further investigation of AD pathogenesis using multimodal metabolic imaging. |
| 3718 | Non-invasive assessment of glycolytic and oxidative metabolism in mouse glioma using DGE 2H-MRS | |
| Rui Vasco Simoes1, Rafael N Henriques1, Beatriz M Cardoso1, Francisca F Fernandes1, Jonas L Olesen2, Sune N Jespersen2, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal, 2Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark |
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Glioblastoma multiforme has been reported to rely both on glycolysis and oxidative metabolism but methods are lacking to assess such heterogenity in vivo. We previously showed a novel application of Marchenko–Pastur PCA denoising (MP-PCA) to dynamic glucose-enhanced deuterium MRS (DGE 2H-MRS). Here, we use this approach to measure glycolytic and oxidative metabolic turnover rates in mouse glioma, thereby assessing their functional metabolic heterogeneity. This methodology can be extended to other cancer models and is available for clinical translation, holding strong potential for improving non-invasive cancer phenotyping and/or assessment of early therapeutic response. |
| 3719 | 1H-MRS of Primary Progressive and Relapsing-Remitting Multiple Sclerosis in brain white matter compared to healthy controls | |
| Bretta Russell-Schulz1, Jasmyne Kassam2, Michael Waine2, Erin L MacMillan1,3,4, Irene Vavasour1, Helen Cross2, Anthony Traboulsee2, Robert Carruthers2, and Shannon Kolind2,5,6 | ||
1Radiology, UBC MRI Research Centre, Vancouver, BC, Canada, 2Medicine, University of British Columbia, Vancouver, BC, Canada, 3Philips Healthcare Canada, Markham, ON, Canada, 4Simon Fraser University's ImageTech Lab, Surrey, BC, Canada, 5Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 6Radiology, University of British Columbia, Vancouver, BC, Canada |
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This study establishes pre-treatment baseline metabolite concentrations for a longitudinal clinical trial for RRMS and PPMS using 1H-MRS. The high MRS data quality and similar in FWHM across all participants creates a strong baseline for detecting change over time. Furthermore, knowing the pre-treatment concentration and tracking concentration changes in the MS subtypes compared to a baseline HC group will allow us to learn more about the mechanisms of action of this therapy. |
| 3720 | Evaluation of the agreement of metabolite levels between PRESS and MEGA-PRESS techniques in the grading of glioma patients | |
| Gerd Melkus1,2, Michael Taccone3,4, Ioana D Moldovan4,5, John Woulfe3,5,6, Gerard Jansen3,7, Ian Cameron1,2, Fahad AlKherayf3,4,5, and Thanh Binh Nguyen1,2 | ||
1Medical Imaging, The Ottawa Hospital, Ottawa, ON, Canada, 2Radiology, University of Ottawa, Ottawa, ON, Canada, 3University of Ottawa, Ottawa, ON, Canada, 4Division of Neurosurgery, The Ottawa Hospital, Ottawa, ON, Canada, 5The Ottawa Hospital Research Institute, Ottawa, ON, Canada, 6Division of Neurology, University of Ottawa, Ottawa, ON, Canada, 7Department of Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, ON, Canada |
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The main objective of this study is to evaluate the agreement of metabolites between the MEGA-PRESS sequence (analyzing the edit-off spectrum) and a standard long TE PRESS sequence that is used in clinical routine for tumour characterization. The T2 corrected metabolite levels of NAA, Cho and Cr obtained from the edit-off spectrum of the MEGA-PRESS sequence are in good agreement with those obtained from the standard long TE PRESS sequence. No significant difference in the diagnostic accuracy was found. |
| 3721 | Quantification of neurobiological responses in the hippocampus: Towards in vivo neurochemical profiling of cuprizone-induced demyelination | |
| Do-Wan Lee1, Yeon Ji Chae2, Monica Young Choi2, Jae-Im Kwon3, Joongkee Min3, Chul‐Woong Woo3, Hwon Heo2, Dong‐Cheol Woo2,3, Jeong Kon Kim1, Kyung Won Kim1, Hyo Jeong Chin4, and Dong‐Hoon Lee4 | ||
1Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 2Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 4Department of Radiological Science, College of Health Sciences, Yonsei University, Wonju, Korea, Republic of |
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This study quantitatively measured the changes in metabolites in the hippocampal lesions of a rat model of cuprizone-induced demyelination as detected using in vivo proton magnetic resonance spectroscopy (1H-MRS) at 7-T. The principal findings of the present study were significantly altered concentrations of gamma-aminobutyric acid, glutamate, myo-Inositol, tCr (creatine + phosphocreatine), and Glx (glutamate + glutamine) in the hippocampus of the demyelination-induced rats relative to those in control rats. Our results showed that cuprizone-induced neuronal demyelination may influence the severe abnormal metabolism in hippocampal lesions, and these responses could be caused by microglial activation, mitochondrial dysfunction, and astrocytic necrosis. |
| 3722 | Simultaneous Myelin Water Imaging and 3D 1H-MRSI Relates Myelin Degradation to Neurometabolic Changes in Mild Traumatic Brain Injury Patients | |
| Tianyao Wang1, Danni Wang2, Yujie Hu2, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Jun Liu5, Zhi-Pei Liang3,4, and Yao Li2 | ||
1Radiology Department, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, 2School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Radiology Department, Tong Ren Hospital Shanghai Jiao Tong University School Medicine, Shanghai, China |
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White matter tracts are known to be highly vulnerable to traumatic axonal injury. Myelin degradation is a major contributing factor for the white matter pathology in traumatic brain injury (TBI), but its relation to neurometabolite alterations is unclear. In this study, we used the latest SPICE technology to perform simultaneous 3D high-resolution MRSI and myelin water imaging to assess the relationship between myelin degradation and neurometabolic changes in acute mild TBI (mTBI) patients. Our results showed coupled MWF and NAA reductions in occipital CC tract of the patients, which provides new insights into TAI pathology in acute mTBI. |
| 3723 | Biochemical and behavioral alterations in a ferret model of blast related mild traumatic brain injury | |
| Shiyu Tang1,2, Su Xu1,2, Donna Wilder3, Joseph Long3, Venkata Siva Sai Sujith Sajja3,4, and Rao Gullapalli1,2 | ||
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Center for Advanced Imaging Research (CAIR), University of Maryland School of Medicine, Baltimore, MD, United States, 3Blast Induced Neurotrauma Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States, 4The Geneva Foundation, Tacoma, WA, United States |
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We studied the longitudinal changes in brain metabolism and impulsivity behavior in ferrets, a gyrencephalic animal model subjected to novel blast exposure conditions that closely mimic those encountered by Warfighters. Compared to rodents, the ferret model has greater similarities to human in terms of developmental process, brain structure and sophisticated behavior. Ferrets demonstrated increased behavioral impulsivity and higher glutamate and taurine in prefrontal cortex following blast exposure. Our findings are in agreement with clinical observations in patients, suggesting that this model is a good gyrencephalic animal model to study brain biochemical profile changes and neuropsychiatric alterations associated with blast exposure. |
| 3724 | Longitudinal Neurochemical Changes of Riluzole Therapy in Post-Traumatic Stress Disorder | |
| Sam H. Jiang1, David M. Benedek2, Patricia Spangler2, James West2, Catherine L. Dempsey2, Ashley Phares2, Brian Andrews-Shigaki3, Eduardo Coello1, and Alexander P. Lin1 | ||
1Center for Clinical Spectroscopy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Office of Naval Research, United States Navy and Marine Corps, Alexandria, VA, United States |
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Active duty service members and veterans with post-traumatic stress disorder (PTSD) refractory to evidence-based therapy were randomized to receive either riluzole, a glutamate modulator, or placebo adjunctive to selective serotonin reuptake inhibitor therapy over an 8-week period. Subjects underwent 1H brain magnetic resonance spectroscopy scans pre- and post-treatment and were assessed longitudinally for PTSD symptomology using the Clinician-Administered PTSD Scale (CAPS). Subjects were stratified into improved and non-improved groups based on a decrease in CAPS score. Analyses on within- and between-group metabolite differences revealed that riluzole modulated the glutamate-glutamine cycle, improved neural energetics, and may have induced choline-linked neuroprotective inflammation. |
| 3725 | Temporal correlation of functional connectivity and Choline in the monkey brain following ischemic stroke | |
| Chun-Xia Li1, Frank Tong2, Doty Kempf1, Leonard Howell1, and Xiaodong Zhang1 | ||
1Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States, 2Department of Radiology, Emory University, Atlanta, GA, United States |
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Previous studies have suggested cerebral Choline (Cho) is a sensitive marker of acute stroke and could protect the tissue from ischemic injury. Also the relative connectivity (RelCon) could be a robust index to reveal the functional connectivity changes using resting state fMRI (rs-fMRI). The results indicated progressively increased RelCon in secondary somatosensory cortex (RelCon-S2) and a significant positive correlation between RelCon-S2 and relative cerebral Choline level (RelCho) from hyper-acute phase to 96 hours post stroke. The RelCon and RelCho combined detection might be an optimized and promising approach in management and prediction of stroke recovery. |
| 3726 | Standard Frame of Reference for the Identification of Metabolic Phenotypes of Brain Tumors using Single Voxel MR Spectroscopy | |
| Eduardo Coello1, Victoria Sanchez1, Marcia Louis1, Huijun Liao1, Sam Jiang1, Wufan Zhao1, Katherine M. Breedlove1, Raymond Huang1, and Alexander Lin1 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States |
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This work introduces a reference frame for the evaluation of single-voxel spectroscopy scans of brain tumors. The goal of this work is to stratify the classification of spectra based on metabolic features to maximize their specificity. The method was developed using decision trees and tested with different sample classifications that included tumor vs. non-tumor voxels and IDH vs. non-IDH tumors. |
| 3727 | GABA and Susceptibility Changes in Striatum in Liver Cirrhosis: Preliminary Results | |
| Gasper Zupan1,2, Sebastian Stefanovic3, Marjana Turk Jerovsek3, Borut Stabuc3, Georg Oeltzschner4,5, Stefan Ropele6, Dusan Suput1, and Andrej Vovk1 | ||
1Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia, 2Institute of Radiology, University Medical Center Ljubljana, Ljubljana, Slovenia, 3Department of Gastroenterology and Hepatology, University Medical Center Ljubljana, Ljubljana, Slovenia, 4Russell H. Morgan Department of Radiology and Radiological Sciences, The John Hopkins University School of Medicine, Baltimore, MD, United States, 5M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 6Department of Neurology, Neuroimaging Research Unit, Medical University of Graz, Graz, Austria |
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Liver cirrhosis (LC) is a worldwide public health problem. One of the complications of LC is hepatic encephalopathy which can present only as subtle cognitive impairment. Using advanced MR methods (MEGA-PRESS Spectroscopy and Quantitative Susceptibility Mapping), decreased striatal GABA levels, decreased susceptibility in caudate nucleus and increased susceptibility in putamen were demonstrated in LC patients compared to healthy controls. GABA levels and susceptibility in putamen correlated with the results of neuropsychological tests in the LC group compared to healthy controls. |
| 3728 | Upper brainstem GABA levels in Parkinson’s disease | |
| Yulu Song1, Tao Gong1, Muhammad G. Saleh2,3, Mark Mikkelsen2,3, Guangbin Wang 1, and Richard Edden2,3 | ||
1Shandong Medical Imaging Research Institute, Shandong University, jinan, China, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, baltimore, MD, United States, 3FM Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, baltimore, MD, United States |
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The aim of this study is to test the hypothesis that levels of gamma-aminobutyric acid (GABA) in the upper brainstem are reduced in patients with PD compared to healthy controls, using edited magnetic resonance spectroscopy (MRS of GABA+). GABA+-edited MRS was performed in 7.5-ml voxels in the upper brainstem in 18 PD patients and 18 age- and sex-matched healthy controls (HCs), and the spectra were processed using the Gannet software. The lower GABA+ levels in the upper brainstem of the PD patients suggest that a GABAergic deficit in the brainstem may contribute to the dopaminergic pathology in PD. |
| 3729 | In vivo detection of GSH in the mouse brain using MEGA-PRESS at 9.4T | |
| David Jing Ma1, Sabrina Gjerswold-Selleck2, Yanping Sun3, Matt Mattingly Mattingly4, and Jia Guo5 | ||
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Columbia University, New York, NY, United States, 3Herbert Irving Comprehensive Cancer Centre, Columbia University, New York, NY, United States, 4Bruker BioSpin, Billerica, MA, United States, 5Department of Psychiatry, Columbia University, New York, NY, United States |
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Glutathione (GSH) is an important intracellular antioxidant in the brain. Various clinical human studies report its measurement by localized 1H spectroscopy using MEGA-PRESS and achieve high reliability and accuracy of GSH measurements at 3 T. As of today, animal model studies conducted at higher fields significantly enhance the armamentarium of tools available for the probing brain function and brain pathologies. However, even though mice are widely used in research, limited studies of GSH in mouse models are conducted. In this study, we demonstrate that MEGA-PRESS is a feasible technique to measure GSH in the mouse brain in vivo at 9.4T. |
| 3730 | Reproducibility of metabolite measurements in the preterm brain using magnetic resonance spectroscopy | |
| Subechhya Pradhan1,2,3, Sudeepta Basu4, Kushal Kapse1, Devon Fisher1, Stephanie Norman1, and Catherine Limperopoulos1,2,3 | ||
1Developing Brain Institute, Children's National Hospital, Washington, DC, United States, 2Radiology, Pediatrics, George Washinton University, Washington, DC, United States, 3Radiology and Diagnostic Imaging, Children's National Hospital, Washington, DC, United States, 4Neonatalogy, Children's National Hospital, Washington, DC, United States |
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Preterm brain metabolism studies using magnetic resonance spectroscopy (MRS) demonstrate an association between abnormal biochemistry and brain injury. To our knowledge, there are no reports on the reproducibility of these measurements as well as the optimal pulse sequence to measure each metabolite in the preterm brain. In this study, results of same-session reproducibility of metabolite concentration measurements from 15 preterm scanning sessions using 4 different pulse sequences are presented. |
| 3731 | Quantitative measurement of changes in 23Na MRI following transcranial direct current stimulation (tDCS) of the motor cortex | |
| Iris Asllani1,2, Francesco Di Lorenzo1, Balazs Orzsik1, Guillaume Madelin3, Neil Harrison4, and Mara Cercignani1 | ||
1University of Sussex, Brighton, United Kingdom, 2Rochester Institute of Technology, Rochester, NY, United States, 3New York University, New York, NY, United States, 4University of Cardiff, Cardiff, United Kingdom |
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23Na MRI data were acquired on healthy volunteers ~15 mins after either anodal, cathodal, or sham application of tDCS in the motor cortex. Tissue specific [Na] concentration images were obtained using a partial volume correction algorithm previously developed for ASL MRI. There was an average 14% increase in gray matter sodium concentration, [Na]GM, across the group following the anodal tDCS; no significant change was observed for the sham application. Of note, all subjects exhibited a widespread pattern of increased [Na]GM similar to that reported in ASL MRI studies that have measured changes in CBF also following anodal tDCS of M1. |
| 3732 | Non-Invasive Brain Metabolic and Cytometric Imaging: Insights from Activity MRI [aMRI] | |
| Charles S. Springer1, Brendan Moloney1, Eric Baker1, Martin M. Pike1, and Xin Li1 | ||
1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States |
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The first aMRI [activity MRI] maps of the awake, heathy human brain are presented. They show differences in cell density [ρ (cells/μL)], average cell volume [V (pL)], and on-going metabolic activity among different brain tissues. Metabolic activity is represented by the mean steady-state cellular water efflux rate constant [kio], which reflects homeostatic cytolemmal Na+,K+-ATPase [NKA] enzymatic turnover. Cortical gray matter [GM] ρ is less than white matter [WM] ρ, while VGM > VWM. Most interesting is the quite large WM kio, 30 s-1. WM NKA activity per cell is considerably larger than in cortical GM. |
| 3907
|
Deep learning super-resolution MR spectroscopic imaging to map tumor metabolism in mutant IDH glioma patients | |
| Xianqi Li1, Bernhard Strasser1, Kourosh Jafari-Khouzani2, Daniel P Cahill3, Jorg Dietrich4, Tracy T Batchelor4, Martin Bendszus5, Ulf Neuberger6, Philipp Vollmuth6, and Ovidiu Andronesi7 | ||
1Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2IBM Watson Health, Boston, MA, United States, 3Neurosurgery, Massachusetts General Hospital, Boston, MA, United States, 4Massachusetts General Hospital, Boston, MA, United States, 5Heidelberg University Hospital, Boston, MA, United States, 6Heidelberg University Hospital, Heidelberg, Germany, 7Massachusetts General Hospital,, Charlestown, MA, United States |
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We developed deep learning super-resolution MR spectroscopic imaging (MRSI) to map tumor metabolism in patients with mutant IDH glioma. A generative adversarial network (GAN) architecture comprised of a UNet neural network as the generator network and a discriminator network for adversarial training was employed to upsample MR spectroscopic imaging data with a factor of four. The preliminary results on simulated and in vivo data indicate that the proposed deep learning method is effective in enhancing the spatial resolution of metabolite maps which may better guide treatment in mutant IDH glioma patients. |
| 3908 | Twofold Improved Tumor-to-Brain Contrast using a Novel T1 Relaxation-Enhanced Steady-State (T1RESS) Technique | |
| Robert R Edelman1,2, Nondas Leloudas3, Jianing Pang4, Julian Bailes5, Ryan Merrell6, and Ioannis Koktzoglou3,7 | ||
1Radiology, NorthShore University HealthSystem, EVANSTON, IL, United States, 2Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 4Siemens Medical Solutions USA, Chicago, IL, United States, 5Neurosurgery, NorthShore University HealthSystem, Evanston, IL, United States, 6Medicine, NorthShore University HealthSystem, Evanston, IL, United States, 7Pritzker School of Medicine, University of Chicago, Chicago, IL, United States |
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We describe a novel class of steady-state pulse sequence called T1 Relaxation-Enhanced Steady-State (T1RESS). Several versions have been implemented including: (a) “bright blood” balanced T1RESS (bT1RESS), and (b) “dark blood” unbalanced T1RESS (uT1RESS). There is also a two-echo Dixon version for fat/water separation. In a brain tumor study, contrast-enhanced T1RESS demonstrated a remarkable two-fold improvement in tumor-to-brain contrast as well as enhanced SNR compared with standard neuroimaging techniques, including MP-RAGE and T1 SPACE. Our initial results suggest that T1RESS has great potential for oncological imaging in the brain, and with further development in other organ systems as well. |
| 3909 | Predictive Role of the ADC measurements and MRI Morphologic Features on Isocitrate Dehydrogenase Status in Patients with Diffuse Glioma. | |
| jun zhang1,2, Hong Peng1, Yu-Lin Wang1, De-Kang Zhang1, and Lin Ma1 | ||
1Radiology, Chinese PLA general hospital, BeiJing, China, 2radiology, the sixth center of Chinese PLA general hospital, BeiJing, China |
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The IDH status has been reported as major prognostic factors for glioma behavior. Thus, noninvasively detecting molecular subtypes before surgery is important for predicting the outcome and choosing therapy. In this study, using machine-learning algorithms, the accurate prediction of IDH subtype was achieved for diffuse gliomas via noninvasive MR imaging, including ADC values and tumor morphologic features, and it is worth mentioning ADC measurements applied are available in clinical workstations. Furthermore, to our knowledge, no previous attempts have been made to use different machine-learning methods to build a suitable model to predict the IDH status for WHO grade II-IV gliomas. |
| 3910 | Glioblastoma grading using perfusion parameters: comparing quantitative transport mapping method and kinetic modeling method | |
| Qihao Zhang1, Gloria Chia-Yi Chiang2, Thanh Nguyen2, Pascal Spincemaille2, and Yi Wang1 | ||
1Cornell University, New York, NY, United States, 2Weill Cornell Medical College, New York, NY, United States |
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We purpose to test the performance of glioblastoma grading using several perfusion parameters: QTM velocity U, volume transfer constant Ktrans, and blood volume fraction Ve. For Ktrans and Ve calculated using extended Toft’s model, two arterial input function are used: one sampled from Carotid artery and one sampled from the feeding artery near the tumor. The result shows that U has the best classification accuracy comparing with other parameters. |
| 3911 | Strategy to overcome the spectral overlap between the 2-hydroxyglutarate and lipid resonances at 2.25 ppm | |
| Pegah Askari1, Ivan E Dimitrov1, Michael Levy1, Toral R Patel1, Edward Pan1, Bruce E Mickey1, Craig R Malloy1, Elizabeth A Maher1, and Changho Choi1 | ||
1University of Texas Southwestern Medical Center, Dallas, TX, United States |
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In proton MRS, the 2.25 ppm resonance of 2-hydroxyglutarate (2HG), which gives the largest signal in many acquisition methods, is overlapped with the lipid resonance at 2.25 ppm, complicating evaluation of 2HG in necrotic tumors with elevated lipids. We propose a novel approach for separation of the 2HG and lipid overlapped signals in spectral fitting. We developed new lipid basis sets and tested on proton MRS (PRESS TE 97ms at 3T) data from 43 glioma patients. LCModel fitting using the new lipid basis sets resulted in complete distinction between IDH mutation and wildtype (accuracy, sensitivity, and specificity all unity). |
| 3912 | Vascular input function measurement in brain tumor DCE-MRI: a comparison of arterial and venous sinus based approaches | |
| Xiaoping Zhu1, Daniel Lewis2, Ka-Loh Li1, Sha Zhao3, Timothy Cootes1, Andrew King2, David Coope2, and Alan Jackson3 | ||
1DIIDS, University of Manchester, Manchester, United Kingdom, 2Neurosurgery, Salford Royal NHS Foundation Trust, Manchester, United Kingdom, 3University of Manchester, Manchester, United Kingdom |
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Accurate derivation of a vascular input function (VIF) is essential for pharmacokinetic modeling of brain DCE-MRI data. In this patient study we compared VIFs extracted from either the internal carotid artery (ICA) and its branches or the superior sagittal sinus (SSS). We demonstrate that plasma gadolinium based contrast-agent (GBCA) concentration-time curves during the 1st-pass of the bolus are equivalent in shape in both the ICA and SSS; and that compared to large intracranial arteries the SSS is able to provide a superior global VIF, with lower noise, higher peak-amplitude and demonstrably greater sensitivity to inter-individual changes in plasma GBCA concentration. |
| 3913 | Structural and Functional Changes in Patients with Lower Grade Tumors Receiving Partial Brain Radiotherapy: A Longitudinal Study | |
| Alan Finkelstein1, Arun Venkataraman2, Madalina Tivarus3, Md Nasir Uddin4, Jianhui Zhong1,2,3, Giovanni Schifitto3,4, Michael Milano5, Michelle Janelsins6, and Sara Hardy4,5 | ||
1Biomedical Engineering, University of Rochester, Rochester, NY, United States, 2Physics and Astronomy, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States, 4Neurology, University of Rochester, Rochester, NY, United States, 5Radiation Oncology, University of Rochester, Rochester, NY, United States, 6Surgery, University of Rochester, Rochester, NY, United States |
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Patients receiving partial brain radiotherapy (RT) experience cognitive impairment. Determining what structures and networks in the brain are susceptible to RT will help to elucidate mechanisms of cognitive impairment in the setting of RT. In this abstract, we examine structural and functional changes before and 6 months post RT in patients with lower grade brain tumors. Further, graph theory analysis of functional connectivity (FC) data was used to investigate network topology. We found that subcortical volume and local graph theory metrics were significantly correlated with RT dose. We also propose a putative link between volumetric changes and network topology. |
| 3914 | Contrast-enhanced T1-weighted DANTE-SPACE, PETRA, and MPRAGE: clinical evaluation comparison in intracranial tumor patients at 3T | |
| Qing Fu1,2, Qi-guang Cheng1,2, Xiao-yong Zhang3, Xiang-chuang Kong1,2, Ding-xi Liu1,2, Yi-hao Guo4, John Grinstead5, Zi-qiao Lei1,2, and Chuan-sheng Zheng1,2 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China, 3Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China, 4MR Collaboration, Siemens Healthcare Ltd., Guangzhou, China, 5Siemens Medical Solutions USA, Inc., Portland, OR, United States |
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Three dimensional (3D) T1-weighted sequences are commonly used for imaging of contrast-enhanced brain tumors, but enhancement of small vessels may mimic imaging of focal lesions, thereby hindering accurate diagnosis. This study validated that when compared with PETRA and conventional MPRAGE, DANTE-SPACE detects more small metastases with better CNR between lesions and surrounding parenchyma, and may be useful for differential tumor diagnosis because of its blood signal suppression abilities; PETRA could achieve similar detection for brain tumors and quieter acoustic noise level when compared with MPRAGE. |
| 3915 | Evaluation of Ultrafast Post-Contrast Wave-CAIPI 3D-T1 MPRAGE Compared to Standard 3D-T1 MPRAGE for Evaluating Enhancing Lesions on 3T MRI. | |
| Augusto Lio M. Goncalves Filho1,2, John Conklin1,2, Chanon Ngamsombat3, Stephen F. Cauley2, Wei Liu4, Daniel N. Splitthoff5, Wei-Ching Lo6, John E. Kirsch1, Pamela W. Schaefer1, Otto Rapalino1, and Susie Y. Huang1,2 | ||
1Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Siriraj Hospital, Bangkok, Thailand, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5Siemens Healthcare GmbH, Erlangen, Germany, 6Siemens Medical Solutions Inc., Boston, MA, United States |
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We compared a highly accelerated post-contrast Wave-CAIPI 3D T1 MPRAGE sequence to the standard 3D T1 MPRAGE in 80 patients undergoing imaging evaluation of intracranial enhancing lesions on 3T MRI. Two neuroradiologists performed a head-to-head analysis to assess the images and found that post-contrast 3D Wave-T1 MPRAGE was up to 2x faster than the standard sequence with no significant difference in the detection of enhancing lesions. The application of highly accelerated Wave-T1 MPRAGE may improve use of MRI resources while reducing patient anxiety and being less prone to motion artifacts. |
| 3916 | DiffusionGo: A fully automatic fiber tracking software for neurosurgeon | |
| Shin Tai Chong1, Jianping Song2, Kuan-Tsen Kuo3, Yu-Ting Ko3, Sanford PC Hsu4, Jinsong Wu2, and Ching-Po Lin1 | ||
1Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, 2Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China, 3ABC Solution Co., Ltd, Shanghai, China, 4Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan |
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DiffusionGo is an in-house developed software specially designed for neurosurgeons, which integrated a reliable pre-processing pipeline, fully automatically fiber reconstruction algorithm, and multimodalities imaging information to achieve easy modeling and precision surgery. |
| 3917 | The combined value of DKI and DSC MRI in differentiating high-grade glioma recurrence from pseudoprogression | |
| Yan Tan1, Wenwei Shi2, Xiaochun Wang1, and Hui Zhang1 | ||
1Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan, China, 2Department of Radiology, Zhongda Hospital, Southeast University, Nanjing, China |
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To evaluate the diagnostic performance of DKI in differentiating glioma recurrence from pseudoprogression and the combined value of DKI and DSC MRI parameters. Tumor recurrence was confirmed to be associated with more tumor angiogenesis, greater nuclear atypia, and increased cell density, whereas pseudoprogression is characterized by radiation-induced vascular changes leading to vasodilation, edema, and increased capillary permeability. These resulted in a more complex structure of recurrent tumor than pseudoprogression. It is concluded DKI and DSC MRI may serve as imaging biomarker of treatment response by characterizing the heterogeneity of the microenvironment and newly formed immature blood vessels. |
| 3918 | Development of MR Elastography Methods for Assessing Adhesion Between Pituitary Masses and the Optic Chiasm | |
| Yi Sui1, Myung-Ho In1, Salomon Cohen-Cohen2, Erin Gray1, Kevin Glaser1, Matt A. Bernstein1, Jamie J Van Gompel2, Richard L. Ehman1, John Huston III1, and Ziying Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Neurologic Surgery, Mayo Clinic, Rochester, MN, United States |
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Preoperatively knowing if a pituitary adenoma is adhering to the optic chiasm would help to predict the risk of surgically induced vision loss. MR-elastography based slip interface imaging has been successfully developed to predict tumor adhesion using normalized octahedral shear strain (NOSS). This pilot study demonstrates the feasibility of acquiring NOSS at ~1mm high resolution using a newly developed distortion-free EPI-MRE technique on a high-performance compact 3T system. With further development, this technique will have great potential to identify adhesion between pituitary adenomas with the adjacent optic chiasm. |
| 3919 | Conventional MRI Texture Analysis to Predict Proliferative Behaviour in Gliomas | |
| Xiaoxin Li1, Qingwei Song1, Ailian Liu1, Lizhi Xie2, and Yanwei Miao1 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, MR Research China, Beijing, China |
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To evaluate the application value of texture analysis based on conventional MRI for predicting the cell proliferation status of glioma. Patients with glioma were divided into two groups by Ki-67, group 1 was Ki-67 less than or equal to 10% and group 2 was Ki-67 more than 10%. The texture feature value of T1WI, T2WI, and contrasted T1WI were obtained by Omni-Kinetics software. The texture features of three sequences were significantly different between two groups, and uniformity and correlation showed better diagnostic efficiency. So the texture analysis based on conventional MRI is useful to predicting cell proliferation status of glioma. |
| 3920 | Value of Diffusion Kurtosis Imaging in Detecting Isocitrate Dehydrogenase Genotype in Low-grade Gliomas | |
| Tao Gong1, Liangjie Lin2, and Yihang Yang3 | ||
1Shandong Medical Imaging Research Institute, Jinan, China, 2Philips Healthcare, Beijing, China, 3Shandong provincal hospital, Jinan, China |
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The aim of this study was to detect the isocitrate dehydrogenase 1 (IDH 1) genotype in low grade gliomas using diffusion kurtosis imaging (DKI). The results indicated that IDH 1 wild-type gliomas have higher MK and lower MD values in tumor foci compared with mutant gliomas, and MK increased and MD decreased significantly in normal-appearing perilesional white matter (pWM) in all gliomas. Interestingly, lower FA in pWM than contralateral normal-appearing white matter was only seen in wild-type gliomas, while no difference was found in mutant-gliomas. These findings indicated that DKI were sensitive to differentiate IDH 1 genotypes in low-grade gliomas. |
| 3921 | Simultaneously acquired PET and ASL imaging biomarkers are helpful in differentiating progression from pseudo-progression in treated gliomas | |
| Nadya Pyatigorskaya1,2,3, Arnaud Pellerin1, Maya Kalife4, Marc Bertaux5, Marine Soret5, Didier Dormont1, and Aurélie Kas5 | ||
1Neuroradiology, Pitié-Salpêtrière Hospital, APHP, Sorbonne universite, Paris, France, 2UMR S 1127, CNRS UMR 722, ICM, Sorbonne Universités, Paris, France, 3CENIR, ICM, Sorbonne Universités, Paris, France, 4CENIR, ICM, Paris, France, 5Nuclear Medecine, Pitié-Salpêtrière Hospital, APHP, Sorbonne universite, Paris, France |
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We aimed at investigating the methods based on coupling cerebral perfusion (ASL) and amino-acid metabolism (18F-DOPA-PET) measurements to evaluate the diagnostic performance of simultaneous PET/MRI in glioma follow-up. Tumour isocontour maps of 18F-DOPA-PET and ASL T-maps were created using SPM and metabolic/perfusion abnormalities were evaluated with the asymmetry index z-score. SPM map analysis of significant-size clusters and semi-quantitative PET and ASL map evaluation were performed. The tumour isocontour maps and T-maps showed the highest specificity (100%) and sensitivity (94.1%) for ASL and 18F-DOPA analysis, allowing to achieve high diagnostic performance in differentiating between progression and pseudo-progression in treated gliomas. |
| 3922 | Applying 2HG MRS in glioma patients during routine clinical MRI examination | |
| Zahra Shams1, Sarah M. Jacobs1, Jan W. Dankbaar1, Changho Choi2, Dennis W.J. Klomp1, Jannie P. Wijnen1, and Evita C. Wiegers1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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2HG is a valuable biomarker to detect mutational status of glioma patients. Therefore, it is of great value to be widely integrated into clinical practice. This study investigates the performance of along echo time (PRESS 97ms) 1H MRS protocol at 3Tesla to be used in routine clinical glioma imaging. |
| 3923 | High dual-contrast putamen MRI at 1.5T: Application to intraoperative MRI during neurosurgical procedure | |
| Chan Hong Moon1, Krystof Bankiewicz2, Paul Larson2, Adrian Kells3, Alastair J. Martin2, Stephen Mancuso4, and Mark Richardson5 | ||
1University of Pittsburgh, Pittsburgh, PA, United States, 2University of California San Francisco, San Francisco, CA, United States, 3Voyager Therapeutics Inc., Cambridge, MA, United States, 4UPMC, Pittsburgh, PA, United States, 5Massachusetts General Hospital, Boston, MA, United States |
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Neurosurgical planning/targeting/monitoring by MRI requires high contrast and excellent anatomical feature. Inversion recovery MRI, e.g., MPRAGE is known to be superior to T1w SPGR in making high contrast of WM vs. GM. However, it is not optimized for putamen/globus pallidus, i.e., important target nuclei in PD surgery, particularly iMRI scanner 1.5T (not 3T). In this study, we developed new dual-contrast MPRAGE and maximized T1 contrast in putamen as well as good anatomy of whole brain without additional acquisition compared to conventional MPRAGE. The proposed methods were applied to 1.5T iMRI during neurosurgical procedure of PD patients. |
| 3924 | Detection of Cystathionine, 2-Hydroxyglutarate and Citrate in Oligodendrogliomas at 7T using Long-TE Semi-LASER | |
| Uzay E Emir1,2, Natalie E Voets3, Sarah E Larkin4, Nick De Pennington4, Puneet E Plaha4, Richard E Stacey4, James E Mccullagh4, Christopher J Schofield4, Stuart E Clare3, Peter Jezzard3, Thomas Cadoux-hudson4, and Olaf E Ansorge4 | ||
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Wellcome Centre for Integrative Neuroimaging, Nuffield Dept of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4University of Oxford, Oxford, United Kingdom |
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Given the rapid pace of discoveries in glioma genomics and metabolomics, it is likely that improvements in diagnostic imaging using UHF MRS can be made by systematically reanalyzing previously generated data in light of new knowledge. In this study, we tested this by reanalyzing existing UHF MRS spectra using a refined basis set that included the potential oncometabolite cystathionine |
| 3925 | Dose Painting Intensity-modulated Radiotherapy Guided by 3D arterial spin labeling MRI for Brain Metastases | |
| Chuanke Hou1, Guanzhong Gong1, Weiqiang Dou2, and Yong Yin1 | ||
1Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China |
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In this work, brain metastases (BM) were divided into multiple sub-volumes based on the cerebral blood flow (CBF) distribution derived by 3D arterial spin labeling (ASL) perfusion imaging. Due to the previously reported strong relationship, low CBF area was defined as the hypoxia area and selected as the region of interest (ROI). On this ROI, we further investigated the behaviors of conventional Intensity-modulated Radiotherapy (IMRT) plan, simultaneous integrated boost IMRT plan with and without constraints by increasing targeted doses, aiming to provide a new reference model for individualized radiotherapy for BM patients. |
| 3926 | Multi-parametric MRI in differentiation between brain tumor and radiation necrosis | |
| Sean P Devan1, Xiaoyu Jiang1, Guozhen Luo2, Jingping Xie1, Zhongliang Zu1, Ashley M Stokes3, Austin N Kirschner2, John C Gore1, and Junzhong Xu1 | ||
1Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Keller Center for Imaging Innovation, Barrow Neurological Institute, Phoenix, AZ, United States |
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It remains a challenge to differentiate between recurrent tumors from radiation induced necrosis in the brain. One promising approach is to combine complementary information on different scales obtained using multi-parametric MRI to comprehensively characterize tissue histopathological properties. In this preliminary study, we performed six multi-parametric MRI acquisitions including APT (probing mobile proteins), NOE (mobile macromolecules), qMT (macromolecules), ADC (cell density), SSIFT (cell size), and DSC (perfusion) to differentiate 9L gliosarcoma from radiation necrosis in animal models. The results suggest APT and SSIFT provide the best discrimination of different tissue types, but a larger sample size is required for further validation. |
| 3927
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The visualization of the saccule and utricle with non-contrast-enhanced FLAIR sequence. | |
| Hikaru Fukutomi1, Xavier Barreau2, Lydia Hamitouche2, Takayuki Yamamoto1, Laurent Denat1, Bei Zhang3, Lijun Zhang4, Bruno Triaire5, Valentin Prevost5, Vincent Dousset1,2, and Thomas Tourdias1,2 | ||
1Institut de Bio-imagerie IBIO, Université de Bordeaux, Bordeaux, France, 2CHU de Bordeaux, Neuroimagerie diagnostique et thérapeutique, Bordeaux, France, 3Canon Medical Systems Europe, Zoetermeer, Netherlands, 4Canon Medical Systems China, Beijing, China, 5Canon Medical Systems Corporation, Tochigi, Japan |
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Delayed post-gadolinium FLAIR can delineate peri- and endo-lymphatic spaces to capture endolymphatic hydrops, the pathological counterpart of Ménière’s disease. However, the four hours delay between injection and acquisition is a burden for patients and staff. No previous work has proposed a satisfying delineation of inner ear internal anatomy without injection yet. This study presents step-by-step 3D-FLAIR optimizations with specific T2 preparation and inversion time to maximize the contrast between peri- and endo-lymphatic spaces. We showed that optimized 3D-FLAIR sequence allowed delineating saccule and utricle in healthy volunteers without injection, paving the way toward future application to diagnose Meniere disease. |
| 3928 | Negative-contrast neurography of the extracranial facial nerve and branches based on variable flip angle turbo spin echo imaging | |
| Timothy Bray1,2, Alan Bainbridge1,3, Susan Jawad2, Sofia Otero2, Timothy J Beale2, Sumandeep Kaur2, Mark McGurk4, Margaret A Hall-Craggs1,2, and Simon Morley2 | ||
1Centre for Medical Imaging, University College London, London, United Kingdom, 2Department of Imaging, University College London Hospital, London, United Kingdom, 3Medical Physics, University College London Hospital, London, United Kingdom, 4Head and Neck Academic Centre, University College London, London, United Kingdom |
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Injury to the facial nerve is a major risk during parotid surgery; pre-operative identification of its course is key to minimising complications. Unfortunately, conventional MRI sequences offer insufficient resolution whilst conventional ‘positive-contrast’ neurographic methods suffer from artifacts and inconsistent quality. We propose an approach to imaging the extracranial facial nerve at high resolution using variable flip angle turbo spin echo imaging. This method depicts the nerve as a low-signal structure (‘black nerve’) against the high-signal parotid parenchyma (‘white parotid’). We show that this ‘negative-contrast’ method outperforms a widely-used positive-contrast neurographic sequence and might be further improved using gadolinium-based contrast agent. |
| 3929 | Differentiation of benign and malignant neck tumors by APT | |
| Xiaohan Song1, Lijun Wang1, Ailian Liu1, Jiazheng Wang1, and Lihua Chen1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Neck malignant tumors is the seventh most common cancer in the world and the ninth most common cause of cancer death. Meanwhile, challenges remain in the differential diagnosis of benign and malignant tumors in the neck. In this study, we explored the value of APTw imaging in the differential diagnosis between malignant and benign neck tumors. Results showed significantly higher APTw values in the malignant tumors than in benign tumors (AUC=0.882, P=0.006), suggesting APT a promising non-invasive method in the differentiation of the neck malignant and benign tumors. |
| 3930 | 3D bSSFP Imaging performance using high performance gradients at 0.5T is comparable to standard field strengths: Clinical use in Temporal Bone MRI | |
| David Volders1, James Rioux1, Steven Beyea1, Chris V Bowen2, and Elena Adela Cora1 | ||
1Diagnostic Radiology, Nova Scotia Health, Halifax, NS, Canada, 2Diagnostic Imaging, Nova Scotia Health, Halifax, NS, Canada |
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Evaluation of temporal bone MRI scans using a 0.5T high performance gradient head only system reveals high quality visualization of clinically relevant structures using 3D bSSFP imaging. |
| 3931 | Childhood Brain Tumour Classification Through Proton Magnetic Resonance Spectroscopy and Diffusion Weighted Imaging | |
| Dadi Zhao1,2, James T. Grist1,2, Heather E.L. Rose1,2, Huijun Li2, Lesley MacPherson2, 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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Multi-modal functional imaging is expected to improve the classification of childhood brain tumours. Forty-three patients with a confirmed childhood brain tumour were enrolled in this 1.5T multi-modal functional imaging study. Short-echo proton magnetic resonance spectroscopy (1H-MRS) and diffusion weighted imaging (DWI) were acquired and analysed through multi-class receiver operating characteristics for feature selection and a wavelet-based data-driven framework for 1H-MRS noise suppression. The balanced classification accuracy across the three tumour types was improved to 95% through linear discriminant analysis by combining DWI and noise-suppressed 1H-MRS, showing improved from 84% through only DWI and 88% through only noise-suppressed 1H-MRS. |
| 3932 | Multiparametric Physiologic MR Imaging of Head and Neck Cancer: Imaging Biomarker for Tumor Hypoxia and Heterogeneity | |
| Yoshimi Anzai1, John A Roberts2, Seong-Eun Kim2, Ying Hitchcock3, Richard Wiggins1, Nousheen Alasti2, and Eugene Kholmovski2 | ||
1Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2UCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 3Radiation oncology, University of Utah, Salt Lake City, UT, United States |
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This prospective, single-arm, cohort patients study with a newly diagnosed head&neck cancer aims to demonstrate the feasibility of multiparametric MRI to reveal tumor hypoxia and treatment failure. Although tumor hypoxia is a critical physiologic feature related to treatment resistance and poor outcomes, effective imaging technology to detect the area of hypoxia in an individual patient is lacking. Incorporating multiparametric maps into cross-sectional imaging is critically essential for translating imaging information to radiation dose paining. We generated the composite color map incorporating oxygen-enhanced BOLD, ADC, and FDG-PET and correlated it with CRT response at 3 months, as a proof of concept. |
| 3933 | Clinical utility of turbo gradient and spin echo BLADE-DWI (TGSE-BLADE-DWI) for orbital tumors compared with readout-segmented echo-planar DWI | |
| Qing Fu1,2, Xiang-chuang Kong1,2, Ding-xi Liu1,2, Yi-hao Guo3, Kun Zhou4, Zi-qiao Lei1,2, and Chuan-sheng Zheng1,2 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China, Wuhan, China, 3MR Collaboration, Siemens Healthcare Ltd., Guangzhou, China., Guangzhou, China, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China., Shenzhen, China |
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2D Turbo gradient and spin echo BLADE diffusion-weighted imaging (TGSE-BLADE-DWI) has been shown to improve image quality by reducing geometric distortions and susceptibility artifacts for middle ear cholesteatomas and optic neuritis; however, its use in depicting orbital tumors is still unknown. The results of this study demonstrated that TGSE-BLADE-DWI could provide significantly better image quality and comparable diagnostic performance for characterizing orbital tumors. |
| 3934 | The efficacy 2D turbo gradient- and spin-echo diffusion-weighted imaging for cerebellopontine angle tumors | |
| Qing Fu1,2, Xiang-chuang Kong1,2, Ding-xi Liu1,2, Yi-hao Guo3, Kun Zhou4, Zi-qiao Lei1,2, and Chuan-sheng Zheng1,2 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China, Wuhan, China, 3MR Collaboration, Siemens Healthcare Ltd., Guangzhou, China., Guangzhou, China, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China., Shenzhen, China |
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Geometric distortions and ghosting artifacts are found at bone-air interfaces using conventional diffusion-weighted imaging (DWI), which is a challenge for imaging cerebellopontine angle (CPA) tumors. Our study validated that geometric distortions and ghosting artifacts were not present on 2D turbo gradient- and spin-echo-BLADE-DWI scans, making this technique useful for visualizing CPA anatomic structures and diagnosing CPA tumors. |
| 3935 | Improved visualization of optic nerve DWI using IRIS: comparison with conventional methods | |
| Yutaka Hamatani1, Kayoko Abe2, Masami Yoneyama3, Jaladhar Neelavalli4, Yasuhiro Goto1, Isao Shiina1, Kazuo Kodaira1, Takumi Ogawa1, Mamoru Takeyama1, Isao Tanaka1, and Shuji Sakai2 | ||
1Department of Radioligical Services, Tokyo Women's Medical University Hospital, Tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University Hospital, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare, Bangalore, India |
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IRIS (Image Reconstruction using Image-space Sampling Function) is a DWI sequence for Multi shot (Mhs) echo planar imaging (EPI) with phase correction. The purpose of this study is to investigate the usefulness of IRIS for optic nerve, in which SSh EPI-DWI tends to show poor image quality due to magnetic susceptibility artifacts. As a result of comparing image quality among Single shot (SSh) EPI-DWI, SSh turbo spin echo (TSE)-DWI, MSh TSE-DWI, and IRIS, IRIS was the best sequence to visualize the optic nerve. IRIS suppressed magnetic susceptibility artifacts most clearly, and can provide excellent contrast with high robustness. |
| 3936 | Compressed Sensing vs. Conventional Parallel Imaging: Utility of Head and Neck MRI for Image Quality and Inspection Efficacy | |
| Hirotaka Ikeda1, Yoshiharu Ohno1, Kaori Yamamoto2, Kazuhiro Murayama3, Masato Ikedo2, Masao Yui2, Satomu Hanamatsu1, Akiyoshi Iwase4, Takashi Fukuba4, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Canon Medical System Corporation, Otawara, Japan, 3Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 4Fujita Health University Hospital, Toyoake, Japan |
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There have been no major reports for assessing the utility of Compressed Sensing (CS) with Parallel Imaging (PI) as compared with routinely applied conventional PI for head and neck MR imaging. We hypothesized that a newly developed CS with PI could shorten examination time and improve the image quality for head and neck MR imaging as compared with conventional PI. The purpose of this study was to directly compare the capability for examination time shortening and image quality improvement of head and neck 3T MR imaging between CS with PI and conventional PI. |
| 3937 | Can texture analysis of T2WI be used to predict extrathyroidal extension in papillary thyroid carcinoma? | |
| Heng Zhang1, Shudong Hu1, Weiqiang Dou2, and Weiyin Vivian Liu2 | ||
1Department of Radiology, Affiliated Hospital, Jiangnan University, Wuxi, China, 2GE Healthcare, MR Research, Bejing, China |
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76 patients with pathologically confirmed papillary thyroid carcinoma (PTC) underwent preoperative thyroid T2-weighted (T2WI) MRI examination in this retrospective study. Using texture analysis for acquired T2WI imaging, entropy was found significantly higher in PTC patients with extrathyroidal extension (ETE) than without ETE, and thus considered an independent index for predicting PTC patients with ETE. With this finding, we therefore consider that preoperative T2WI-based texture features may be valuable for identifying ETE status in PTC patients and may help customize treatment strategies. |
| 3938 | The clinical value of magnetic resonance imaging in patients with sudden hearing loss for pathogenic diagnosis and prognostic evaluation | |
| Yanjun Wang1, Shenghong Ju1, Jilei Zhang2, and Yuancheng Wang1 | ||
1Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China, 2Philips Healthcare, Greater China, Shanghai, China |
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This study aimed to assess the clinical importance of 3D-FLAIR MR imaging in sudden sensorineural hearing loss (SSNHL) for head and neck radiologists and otolaryngologists. A novel MR protocol based on 3D-FLAIR and detailed clinical examinations were conducted among 60 patients. The results showed that the 3D-FLAIR MR protocol could identify the proper causes of SSNHL and reflect the severity of hearing loss, and the combination of clinical and MR features is beneficial for the prognostic evaluation of unilateral SSNHL, mainly for SSNHL with no recovery and complete recovery. |
| 3939 | Development and optimization of diffusion-weighted imaging protocols for the optic nerve and pituitary gland | |
| Zhiqiang Li1, Sharmeen Maze1, and John P Karis1 | ||
1Neuroradiology, Barrow Neurological Institute, Phoenix, AZ, United States |
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DWI helps reveal many neurological disorders. However, its application in the optic nerve and pituitary gland is hindered by strong distortion artifacts associated with ssEPI, the method of choice for clinical DWI. Recently, IRIS (an msEPI sequence) and SPLICE-PROPELLER (a distortion-free technique) have become available in the clinic. In this work, we develop and optimize DWI protocols for imaging the optic nerve and pituitary gland. Volunteer studies and patient scans demonstrate immunity to geometric distortions, and good overall image quality with clinically friendly scan times. |
| 3940 | Application of Compressed Sensing Technology in the Fast Spin Echo Diffusion Weighted Imaging of the Skull Base | |
| Haonan Zhang1, Qingwei Song1, Jiazheng Zhang2, Yishi Wang2, Renwang Pu1, Nan Zhang1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2PHILIPS——Philips Healthcare, beijing, China |
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Compared with echo planar imaging diffusion weighted iamging (EPI-DWI), turbo spin echo diffusion weighted imaging (TSE-DWI) can significantly reduce magnetic sensitivity artifacts in skull base imaging. However, the longer scan time limits its clinical promotion. The purpose of this study is to investigate the effect of the compression sensing acceleration factor on the image quality of TSE-DWI in the skull base area. |
| 3941 | The Value of Apparent Diffusion Coefficient Gray Histogram in the Differential Diagnosis of Central Nervous System Lymphoma | |
| Zhen MA1, Xin ZHAO1, Kaiyu Wang2, and Jinxia Guo3 | ||
1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou City, China, 2GE Healthcare, MR Research China,, Beijing, China, 3GE Healthcare, MR Research China, Beijing, China |
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Retrospective analysis of patients with brain MRI examination and confirmed by pathology, respectively in three groups of MR ADC axial images, using Mazda software to delineate the region of interest at each level of the tumor, and carry out gray-scale global histogram analysis, and statistical analysis of the three groups of histogram parameter characteristics.The nine parameters, mean, variance, kurtosis, skewness, perc. 01%, perc. 10%, perc. 50%, perc. 90% and perc. 99% were obtained by gray histogram analysis (P < 0.05). |
| 3942 | Semiautomated quantitative analysis of swallow function using dynamic MRI with image registration and intensity analysis | |
| Timothy Bray1,2, Ruaridh Gollifer1,3, Simon Morley2, Susan Jawad2, Roganie Govender4, Stuart A Taylor1,2, Nicholas Hamilton4, and David Atkinson1 | ||
1Centre for Medical Imaging, University College London, London, United Kingdom, 2Department of Imaging, University College London Hospital, London, United Kingdom, 3Medical Physics, University College London Hospital, London, United Kingdom, 4Head and Neck Academic Centre, University College London, London, United Kingdom |
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Swallowing dysfunction (dysphagia) is a common problem and a major cause of morbidity in patients who have undergone radiotherapy for head and neck cancer. However, the pathophysiological basis of dysphagia in these patients is poorly understood and may differ between patients, creating a barrier to developing effective treatment strategies. Improved (and ideally quantitative) methods for characterising swallow function are therefore needed. We describe a method for imaging and analysis of pharyngeal and laryngeal motion during the swallow, based on joint image registration and modelling of intensity changes over a dynamic image series. |
| 3943 | Prognostic value of quantitative dynamic contrast-enhanced magnetic resonance imaging and texture analysis for nasopharyngeal carcinoma | |
| Yuhui Qin1,2, Xiaoping Yu2, Jing Hou2, and Fabao Gao1 | ||
1Department of Radiology, West China Hospital, Chengdu, China, 2Department of Radiology, Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha, China |
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Although several studies have demonstrated that DCE-MRI is helpful in predicting the short-term therapeutic response for NPC, the relationship between the quantitative parameters and texture features (based on DCE-MRI and T2WI) and the prognosis of NPC is unclear. The present work is the first study to explore the performance of quantitative DCE-MRI and texture analysis in predicting the long-term outcome of NPC. Our data revealed that baseline quantitative DCE-MRI parameters and texture features might serve as predictors for the prognosis of NPC. These findings provide new insights to help optimize individual treatment regimen and improve the clinical outcome for patients. |
| 3944 | Real-time tyGA Imaging for diagnosis and treatment evaluation of articular disc displacements in the TMJ | |
| Kilian Stumpf1, Mariam Seyfang2, Bernd Georg Lapatki2, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Department of Orthodontics, Ulm University Medical Center, Ulm, Germany |
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Magnetic resonance imaging (MRI) scans are the gold standard for confirming clinical diagnosis of temporomandibular disorders involving the condyle–articular disc complex, such as articular disc displacements (ADDs). Dynamic MRI has previously been applied for the visualization of motions of the temporomandibular joint. A combination of tiny golden angle (tyGA) profile ordering and a sliding window reconstruction allows retrospective reconstruction of images with nearly arbitrary temporal resolutions. In this contribution a real-time tyGA sequence with a frame rate of up to 125 ms was successfully applied for the diagnosis of ADD as well as occlusal splint therapy planning and evaluation. |
| 3945 | Diagnostic Consensus in the Interpretation of Ultra-High-Field MRS in Glioma Patients | |
| Uzay E Emir1,2, Jannie Wijnen3, Olaf E Ansorge4, Evita Wiegers3, Anja van der Kolk5, Alexander Lin6, and Clark Chen7 | ||
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Radiology, University Medical Centre Utrecht, Utrecht, Netherlands, 4University of Oxford, Oxford, United Kingdom, 5Antoni van Leeuwenhoek Hospital, Netherlands Cancer Center, Amsterdam, Netherlands, 6Brigham and Women’s Hospital / Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States, 7Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States |
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We have recently initiated a 7T MRS glioma consortium, intending to bring together experts in the field to discuss pitfalls, promises, and potential research avenues of MRS in gliomas. During the "GlioMaRS-NET Workshop" in 2020, we tested the efficacy of UHF MRS for predicting the molecular characteristics by visual inspection by conducting a survey with a set of previously acquired UHF spectra from glioma patients. There was a high concordance in diagnostic interpretation of spectra for the identification of IDH-mutant gliomas versus IDH-wildtype gliomas. |
| 3946 | Intra-oral flexible coil for improved visibility of dental root canals in MRI | |
| Agazi Samuel Tesfai1, Andreas Vollmer2, Ali Caglar Özen1,3, Wiebke Semper-Hogg2, Ute Ludwig1, and Michael Bock1 | ||
1Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2Department of Oral and Maxillofacial Surgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 3German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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Accurate detection of dental root canals is vital to avoid complications in endodontic therapy; however, it is difficult to locate the root canals with their sub-millimeter diameter in dental CT. To display root canals with MRI, ex-vivo and in-vivo measurements were performed with a newly developed intra-oral flexible coil and were compared to conventional head and surface coil images. Ex-vivo, a minimum SNR gain of 6 could be achieved with the intra-oral coil setup, and in a volunteer a gain of 2.7 was seen with an improved delineation of the root canals. |
| 4125 | Perfusion And Permeability Imaging as Diagnostic And Prognostic Biomarkers of Cavernous Angioma with Symptomatic Hemorrhage | |
| Je Yeong Sone1, Yan Li1,2, Nicholas Hobson1, Sharbel G. Romanos1, Abhinav Srinath1, Seán B. Lyne1, Abdallah Shkoukani1, Julián Carrión-Penagos1, Agnieszka Stadnik1, Kristina Piedad1, Rhonda Lightle1, Thomas Moore1, Ying Li1, Dehua Bi1,3, Timothy Carroll4, Yuan Ji3, Romuald Girard1, and Issam A. Awad1 | ||
1Neurovascular Surgery Program, Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, IL, United States, 2Bioinformatics Core, Center for Research Informatics, The University of Chicago, Chicago, IL, United States, 3Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States, 4Department of Diagnostic Radiology, University of Chicago Medicine and Biological Sciences, Chicago, IL, United States |
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A cavernous angioma with symptomatic hemorrhage (CASH) is more likely to rebleed for several years while conventional MRI signatures of hemorrhage may disappear after a few weeks. We aimed to investigate whether perfusion or permeability derivations of dynamic contrast-enhanced quantitative perfusion-MRI (DCEQP) can distinguish a lesion that had bled earlier or predict subsequent lesional bleeding/growth after DCEQP. Machine learning and Bayesian model selection showed that perfusion imaging may distinguish cases with CASH 3–12 months prior to the scan (diagnostic biomarker) while a combination of permeability and perfusion derivations may predict bleeding/growth in the subsequent year (prognostic biomarker). |
| 4126 | Differences in acute cerebral infarction distribution patterns between young and elderly patients: a MRI study | |
| Dandan Yang1,2, Yongjun Han3, Dongye Li4, Huiyu Qiao2, Hualu Han2, Rui Shen2, Zihan Ning2, and Xihai Zhao2 | ||
1Capital Medical University, Beijing, China, 2Tsinghua University, Beijing, China, 3Aerospace Center Hospital, Beijing, China, 4Sun Yat-Sen Memorial Hospital, Guangzhou, China |
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This study aimed to determine the distribution patterns of acute cerebral infarction (ACI) between young and elderly patients with intracranial large artery stenosis using diffusion-weighted imaging. In total, 69 young patients and 77 elderly patients were included in this study. We found that young patients had significantly higher prevalence of multiple ACI lesions in more than one vascular territory and higher percentage of lesions in both anterior and posterior circulations than elderly patients. Our findings provide new insights in optimizing the etiological diagnosis of cerebrovascular disease for young and elderly patients. |
| 4127 | Computer-Aided Detection of Lacunes from FLAIR and T1-MPRAGE MR Images via 3D Multi-Scale Residual Networks | |
| Mohammed A. Al-masni1, Woo-Ram Kim2, Eung Yeop Kim3, Young Noh4, and Dong-Hyun Kim1 | ||
1Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Korea, Republic of, 2Neuroscience Research Institute, Gachon University, Incheon, Korea, Republic of, 3Department of Radiology, Gachon University College of Medicine, Gachon University, Incheon, Korea, Republic of, 4Department of Neurology, Gachon University College of Medicine, Gachon University, Incheon, Korea, Republic of |
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Lacunes are small cerebrospinal fluid-filled lesions that are generated by the occlusion of penetrating deep branches of cerebral arteries. Early detection of lacunes could decrease the possible clinical implications such as dementia, gait impairment, and lacunar stroke. In this study, we propose a deep learning 3D multi-scale residual network for lacunes identification using FLAIR and T1-MPRAGE MR images. We redesign the proposed network via applying multiple parallel paths using different input scales. This enables to extract more robust contextual global features and hence achieve better detection performance. The proposed work exhibits its ability to distinguish true lacunes from non-lacunes. |
| 4128 | Abnormalities of Cortical Morphology and Structural Covariance Network in Patients With Subacute Basal Ganglia Stroke | |
| Su Yan1, Guiling Zhang1, Weiyin Vivian Liu2, and Wenzhen Zhu1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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The primary aim of this study was to examine the changes of cortical morphology in patients with unilateral basal ganglia stroke (BS) in subacute phase and evaluate the discrepancies of structural covariance networks (SCNs) between BS and HCs groups by using a seed-based structural covariance approach. The main findings were that BS could cause cortical atrophy of bilateral frontal and temporal lobes and abnormal structural covariance patterns, featured by decreased global efficiency and fragile topological properties in reaction to target attacks. These findings may enable us to better understand the neurobiological mechanisms of behavioral impairment and recovery after BS. |
| 4129 | Relationship between MRI-derived lesion metrics and clinical characteristics in patients with Familial Cerebral Cavernous Malformations | |
| Sivakami Avadiappan1, Jeffrey Nelson2, Marc Mabray3, Blaine Hart3, Leslie Morrison4, Atif Zafar4, Michel Torbey4, Helen Kim2,5, and Janine Lupo1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, United States, 3Department of Radiology, University of New Mexico, Albuquerque, NM, United States, 4Department of Neurology, University of New Mexico, Albuquerque, NM, United States, 5Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States |
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Cerebral cavernous malformations (CCMs) are vascular lesions composed of abnormally enlarged small blood vessels and are characterized by symptoms such as seizures and hemorrhages. In this study, we explore the relationship between serial MR imaging metrics and clinical markers of CCM disease severity. A semi-automated algorithm was applied on 57 patients to segment lesions. Age was associated with lesion count and obesity was inversely related to the lesion count. The lesion burdens in brainstem and temporal lobe were related to hemorrhagic and seizure events. These imaging metrics can function as surrogate markers for risk stratification in these patients. |
| 4130 | Comparing venous diameter from SWI with ground-truth venous diameter in straight sinus | |
| Mehdi Zoghinia1, Mohammed Ayoub Alaoui Mhamdi1, and Russell Butler1,2 | ||
1Bishops university, sherbrooke, QC, Canada, 2Diagnostic Radiology, University of Sherbrooke, sherbrooke, QC, Canada |
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Paramagnetic deoxyhemoglobin introduces magnetic susceptibility to venous vessels in the brain, causing intra-voxel dephasing of surrounding tissue, appearing dark on a susceptibility-weighted image (SWI). However, empirical studies quantifying the extent of this dephasing is lacking. Using time-of-flight (TOF) angiogram as ground truth, and focusing on the straight sinus, we quantified the extent to which SWI vessel diameters deviated from true (TOF) vessel diameters. We find straight sinus diameter based on SWI segmentation to be nearly twice the diameter of TOF segmentation, and the difference between SWI and TOF straight sinus diameter was dependent on vessel location in the y-axis. |
| 4131 | ADC and Size Dependent Segmentation Performance using Deep Learning | |
| Chun-Jung Juan1, Yi-Jui Liu2, Shao-Chieh Lin3, and Yi-Hung Jeng4 | ||
1Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan, 2Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, 3Ph.D. program in Electrical and Communication Engineering, Feng Chia University, Taichung, Taiwan, 4Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, Hsinchu, Taiwan |
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Accurate automatic segmentation of acute ischemic infarction on diffusion-weighted images (DWI) is clinically important. However, the accuracy of automatic segmentation of stroke lesions is affected by a lot of factors. By applying graded ADC thresholds, our study verifies the value of ADC threshold on the performance of the deep learning models in segmenting acute ischemic infarction with increasing the Dice similarity coefficient (DSC) by the lowering the ADC threshold. In addition, our study provides a new window to distinguish cytotoxic edema and vasogenic edema in acute stroke. Moreover, our results further show a size-dependent influence of DSC for stroke segmentation. |
| 4132 | Cortical microinfarcts on 7T MRI correlate with medial temporal lobe thinning in healthy aging | |
| Shokufeh Sadaghiani1, M. Dylan Tisdall2, Sandhitsu R. Das1, David A. Wolk1, and John A. Detre1 | ||
1Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 2Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States |
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We investigated the correlation of CMIs with MTL subregional cortical thickness in 21 healthy elderly subjects. We also showed that only 26% of total CMIs visible on 7T MRI scans are also visible on 3T scans suggesting a better visualization of CMIs by 7T MRI compared to 3T MRI. Our findings support an interaction between cerebrovascular and neurodegenerative mechanisms in healthy aging. |
| 4133 | 3D high resolution CUBE imaging in evaluating the imaging features of intracranial vasculopathy long after cranial irradiation | |
| Huimin Mao1, Weiqiang Dou2, Xinyi Wang1, Xinyu Wang1, Kunjian Chen1, and Yu Guo1 | ||
1The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2GE Healthcare, MR Research China, Beijing, P.R. China, Beijing, China |
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The purpose of this study was to evaluate the imaging characteristics of intracranial large and small vessel diseases long after cranial irradiation. All patients with small vessel diseases underwent intracranial vessel wall imaging by 3D high resolution CUBE T1-weighted imaging (HR-MRI) to detect large vessel diseases. All recruited patients were found with intracranial small and large vessel diseases. Therefore, intracranial vasculopathy is not a rare complication after cranial irradiation, even in young patients. Patients after cranial irradiation should be followed up with MR imaging including HR-MRI. |
| 4134 | Neuropathologic correlates of cerebral microbleeds in community-based older adults | |
| Grant Nikseresht1, Ashish A. Tamhane2, Nazanin Makkinejad3, Carles Javierre-Petit3, Gady Agam1, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis2,3 | ||
1Department of Computer Science, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States, 3Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States |
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Cerebral microbleeds (CMBs) are common in older adults and have been linked to hypertension, increased risk of stroke, and cognitive decline. There is also evidence of an association between CMBs and cerebral amyloid angiopathy (CAA) in studies involving clinical populations and patients with intracerebral hemorrhage. However, it remains unclear what the neuropathologic correlates of CMBs are in community-based older adults. The aim of this study was to determine the neuropathologic correlates of CMBs in community-based older adults, and also to investigate the relationship between neuropathologies and the location of CMBs in the brain. |
| 4135 | Personalized MR-derived brain temperature predictions after ischemic stroke – a case study | |
| Dongsuk Sung1, Peter A. Kottke2, Jason W. Allen1,3,4, Benjamin B. Risk5, Fadi Nahab4, Andrei G. Fedorov2,6, and Candace C. Fleischer1,3,6 | ||
1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, 2Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 3Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 4Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 5Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States, 6Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States |
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To prevent recurrent ischemic stroke, at-risk but viable tissue must be identified and reperfused. Conventional methods for identifying these regions can overestimate the infarct core leaving salvageable tissue untreated. To explore the use of brain temperature to identify viable tissue after stroke, we have refined our previous brain temperature model to simulate major cerebral artery occlusion and enable predictions of brain temperature evolution after stroke onset. Brain temperature was highest in ischemic penumbra followed by infarct core and lowest in healthy tissue, demonstrating its potential as an imaging biomarker for reperfusion therapy. |
| 4136 | Automated Segmentation of Salvageable Ischemic Brain Tissue using Convolutional Neural Networks with DWI and FLAIR MRI | |
| Ryan Andrew Rava1,2, Kenneth V. Snyder2,3, Muhammad Waqas2,3, Elad I. Levy2,3, Jason M. Davies2,3, Adnan H. Siddiqui2,3, and Ciprian N. Ionita1,2,3 | ||
1Biomedical Engineering, University at Buffalo, Buffalo, NY, United States, 2Canon Stroke and Vascular Research Center, Buffalo, NY, United States, 3Neurosurgery, University at Buffalo, Buffalo, NY, United States |
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Convolutional neural networks have the potential to predict penumbra volumes within acute ischemic stroke patients to determine their eligibility for mechanical thrombectomy based on the Defuse 3 clinical trial. Currently, computed tomography perfusion is the main method used to quantify penumbra volumes but not all stroke centers have this modality available. In this study, 2 networks were developed to automatically segment penumbra using FLAIR and DWI and performance metrics comparing each network’s predictions with ground truth penumbra (dual network: Dice=0.61, sensitivity=0.68, PPV=0.59, multi-input network: Dice=0.61, sensitivity=0.62, PPV=0.64) indicate a multi-input network is the most capable of segmenting penumbra tissue. |
| 4137 | Integrating clinical and imaging features to predict recurrence of cerebrovascular events —— A machine learning study | |
| mengting wei1, jinhao lv2, liuxian wang2, senhao zhang2, dongshan han2, xinrui wang2, and xin lou2 | ||
1Chinese PLA General Hospital, BeiJing, China, 2Chinese PLA General Hospital, beijing, China |
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Stroke is characterized by a high recurrence rate, and intervention after early identification of patients at risk of recurrence may improve their prognosis. After strict screening, 55 patients were enrolled in this study. the results show that it is feasible to identify patients with recurrent cerebrovascular events within one year by integrating clinical and imaging features through machine learning. RandomForest and NaiveBayes are the optimal algorithms, and HCR（hypoperfusion cubage ratio）can significantly optimize the recognition of these patients. |
| 4138 | FLAIR Vascular Hyperintensity May Predict Ischemic Event in Patients with Internal Carotid Artery or Middle Cerebral Artery Occlusion | |
| Jinhao Lyu1, Mengting Wei1, Xiangbing Bian1, Liuxian Wang1, Senhao Zhang1, Lin Ma1, and Xin Lou1 | ||
1Radiology, Chinese PLA General Hospital, The First Medical Center, Beijing, China |
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Intracranial artery steno-occlusive disease causes high morbidity of ischemic stroke occurrence and reoccurrence. The present study tested the presence of Fluid-Attenuated Inversion Recovery vascular hyperintensity (FVH) to discriminate symptomatic patients from asymptomatic patients in intracranial internal carotid artery or middle cerebral artery occlusion and found that the presence of FVH was independently associated with a recent ischemic event in these patients and negatively correlated with collateral circulation. The findings suggest that FVH may serve as a feasible imaging marker to identify high-risk cases in their follow-up and clinical management. |
| 4139 | Optimized Acceleration Factor in Phase Measurement of Brain Deep Veins using SWI with Compressed Sensing | |
| Jing Yang1, Yanwei Miao1, Yangyingqiu Liu 1, Yu Bing1, Bingbing Gao1, Jiazheng Wang2, Zhiwei Shen2, Ailian Liu1, Qingwei Song1, and Renwang Pu1 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Dalian, China |
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The MR scan time can be decreased using Compressed sensing with a favorable image quality. The study aimed to quantitative measure the oxygen concentration using Susceptibility Weighted Imaging (SWI) images with the different acceleration factors (AF), and explore the optimized AF of compressed sensing based on quantitative assessment of the image quality. Combined with the SNR and CNR, when the AF is 4, the scanning time can be reduced by 71.39%. For the phase value of deep veins, the AF can reach to 6 and the scan time is reduced to 1min8s without image quality change obviously. |
| 4140 | Effect of Small Vessel Disease Burden on Collateral Perfusion in Symptomatic Large Vessel Stenosis or Occlusion | |
| Liu-xian Wang1, Dong-shan Han1, Jin-hao Lyu1, and Xin Lou1 | ||
1the First Medical Center, Chinese PLA General Hospital, Beijing, China |
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Total SVD burden were not correlated with collateral perfusion, but perivascular space could impact collaterals. |
| 4141 | Using ASL perfusion images for spatial normalization in a pediatric population with craniosynostosis. | |
| Catherine A. de Planque1, Henk J. Mutsaerts2, Vera C.W. Keil2, Nicole S. Erler1, Marjolein Dremmen1, Irene M.J. Mathijssen1, and Jan Peter3 | ||
1Erasmus University Medical Center, Rotterdam, Netherlands, 2Amsterdam UMC, Amsterdam, Netherlands, 3Institute of Radiopharmaceutical Cancer Research, Dresden, Germany |
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Spatial normalization is an important step for image processing and quantification of regional brain perfusion values using arterial spin labeling (ASL) MRI and is typically performed via high-resolution structural scans. Structural segmentation and/or registration is complicated when gray-white matter T1w contrast is low and changing in early phases of myelination in newborns. Craniosynostosis is a condition where the decision for surgical treatment in the first years of life is supported by brain imaging. In this study, we investigate if ASL CBF image contrast can be directly used for spatial normalization, in both healthy controls and a non-syndromic type of craniosynostosis. |
| 4142 | Can different etiologies provide converging evidence regarding the neural correlates of cognitive performance? Tumor versus stroke | |
| Eva van Grinsven1, Anouk Smits1, Emma van Kessel1, Mathijs Raemaekers1, Edward de Haan2, Irene Huenges Wajer1,3, Veerle Ruijters1, Marielle Philippens4, Joost Verhoeff4, Pierre Robe1, Tom Snijders1, and Martine van Zandvoort1,3 | ||
1Department of Neurology & Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands, 2Department of Psychology, University of Amsterdam, Amsterdam, Netherlands, 3Department of Experimental Psychology and Helmholtz Institute, Utrecht University, Utrecht, Netherlands, 4Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands |
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While lesion-symptom mapping can inform on which brain regions are crucial for a given behavior, it is still unclear whether different lesion etiologies show comparable structure-function relationships. In this study, support-vector regression lesion-symptom maps were compared between a glioma and stroke population. As expected, pathology distinct coverage patterns in the brain were found and there were more and larger significant voxel clusters in the tumor group. Our preliminary conclusion is that despite some differences in lesion-symptom associations in comparing a tumor and stroke population, these two populations can provide complementary information regarding involvement of brain regions for given cognitive tasks. |
| 4143 | FREQUENCY DEPENDENT ALTERED FUNCTIONAL CONNECTIVITY OF DECLARATIVE MEMORY NETWORKS IN PATIENTS WITH DURAL ARTERIO-VENOUS FISTULA | |
| Bejoy Thomas1, Josline Elsa Joseph1, Sabarish S Sekar1, Santhosh Kannath1, and Ramshekhar N Menon2 | ||
1Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India, 2Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India |
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Dural Arteriovenous fistula (dAVF) causes cognitive deficits and associated memory impairment. The objective of this study was to understand the frequency dependent correlates of resting state functional connectivity of memory deficit presentations in dAVF. Our results reveal reduced functional connectivity, in a frequency dependent fashion, among hippocampus, parahippocampal cortex and dorsolateral prefrontal cortex, i.e.: regions involved in declarative memory functional processing. |
| 4144 | Usefulness of low intensity rim sign on DWI for differentiating brain abscess, acute ischemic stroke, and hemorrhagic stroke. | |
| Takashi Abe1,2, Maki Otomo2, Rintaro Ito1, Rei Nakamichi1, Yumi Abe1, Toshiki Nakane1, Hisashi Kawai1, Toshiaki Taoka1, Shinji Naganawa1, and Masafumi Harada2 | ||
1Nagoya University, Nagoya, Japan, 2Tokushima University, Tokushima, Japan |
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Although it is often difficult to differentiate brain abscess, acute ischemic stroke, and hemorrhagic stroke on diffusion weighted image (DWI), the diagnosis can be made more accurately by focusing on the low signal intensity, especially the low intensity rim surrounding the lesion. In this study, image interpretation of six diagnostic radiologists (12.8 years of experience on average) showed an accuracy of 70% before explanation of the low intensity rim finding, but the accuracy increased to 86% after explanation (p = 0.025), confirming the importance of focusing on low intensity rim on DWI. |
| 4145 | High-Resolution Vessel Wall Imaging: Association of Plaque with Morphological Changes of Lenticulostriate Arteries in SSIs | |
| Hui Wang1, Xianchang Zhang2, Quanzhi Feng1, Yutian Li1, Jinli Li1, Yujun Wang3, Guangzhao Yang3, Qingle Kong2, Zihao Zhang4, and Tong Han1 | ||
1Radiology, Tianjin Huanhu Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare Lid., Beijing, China, 3Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China, 4State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China |
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This study evaluated the association between plaque existence and lenticulostriate artery (LSA) morphology using high-resolution vessel wall imaging (HR-VWI) in patients with lenticulostriate infarction and non-stenotic middle cerebral artery (MCA). Patients were divided into plaque and non-plaque groups based on the plaque presence in the MCA-M1 segment of the infarcted hemisphere. Atheromatous plaque was found in 52.8% of patients, and the laterality index of the LSA and total length were higher in the plaque group. These findings suggest that HR-VWI may help distinguish branch from non-branch atheromatous small vessel disease. |
| 4146 | Quantification of hemodynamics of cerebral arteriovenous malformations after stereotactic radiosurgery using 4D Flow MRI | |
| Shanmukha Srinivas1, Tara Retson1, Aaron Simon2, Marc Alley3, Shreyas Vasanawala3, Jona Hattangadi-Gluth2, Albert Hsiao1, and Nikdokht Farid1 | ||
1Department of Radiology, University of California San Diego, San Diego, CA, United States, 2Department of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, CA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States |
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This study evaluated the use of 4D flow MRI to assess hemodynamic changes to cerebral arteriovenous malformations after stereotactic radiosurgery (SRS). As a comparison, structural changes of AVMs were measured on T2W single shot fast spin echo (SSFSE) and time-of-flight (TOF) angiography. Hemodynamic changes, including reduction in feeding arterial flow and draining venous flow, preceded structural changes including arterial circumference and nidus volume for large arteriovenous malformations. This study demonstrated the potential utility of 4D flow MRI as a robust tool to supplement existing imaging techniques and measure early treatment response after stereotactic radiosurgery (SRS). |
| 4147 | Generating virtual brains for MRI-based 3D cerebral blood flow simulations | |
| Tamás I. Józsa1, Jan Petr2, Alle Meije Wink3, Frederik Barkhof3, Henk J. M. M. Mutsaerts3, and Stephen J. Payne1 | ||
1Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 2Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 3Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands |
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Human brain perfusion simulations have been limited to less than five patient-specific cases. We propose a pipeline based on MRI to overcome this limitation. Computational geometry is adjusted using T1-weighted MRI, and the perfusion model parameters are tuned based on arterial spin labeling perfusion MRI. A cohort of 75 patients is used to demonstrate that the pipeline is suitable to generate virtual patients with statistically accurate and precise cerebral blood flow maps. Our findings encourage future studies on in silico clinical trials using similar virtual cohorts to improve ischaemic stroke interventions. |
| 4148 | Measuring pulse wave velocity in the cerebral arterial tree using 4D flow MRI | |
| Cecilia Björnfot1, Anders Garpebring1, Sara Qvarlander1, Jan Malm2, Anders Eklund1, and Anders Wåhlin1,3 | ||
1Department of Radiation Sciences, Umeå University, Umeå, Sweden, 2Department of Clinical Sciences, Umeå University, Umeå, Sweden, 3Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden |
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Age-related arterial wall hardening could be detrimental to brain function via several pathways. A consequence of vessel wall hardening is the increased velocity at which the cardiac-induced pulse wave travels. Previously, pulse wave velocity in the aorta and extracranial arteries have been linked to brain pathology. However, there's a lack of “target-organ” measurements. Here we present a 4D flow MRI method to estimate pulse wave velocity in the cerebral arterial tree. The method is shown to be stable in an internal consistency test, and of sufficient sensitivity to robustly detect age-related increases in intracranial pulse wave velocity. |
| 4149 | Integration of high-resolution ultra-high-field 7T magnetic resonance vessel neuroimaging into clinical routine: preliminary results | |
| Piotr Radojewski1, Arun Joseph2,3,4, Gabriele Bonnano2,3,4, Tom Hilbert5,6,7, Tobias Kober5,7,8, Jan Gralla1, Roland Wiest1, and Pasquale Mordasini1 | ||
1Institute of Diagnostic and Interventional Neuroradiology, Bern University Hospital, Inselspital,, Bern, Switzerland, 22. Advanced Clinical Imaging Technology, Siemens Healthcare AG, Bern, Switzerland, 33. Translational Imaging Center, Sitem-Insel, Bern, Switzerland, 44. Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland, 55. Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 66. Department of Radiology, , Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 77. LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 86. Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland |
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MRI-based vessel imaging has two goals, the anatomico-morphological depiction and vessel wall imaging, including delineation of contrast enhancement within the vessel wall. We performed sequence implementation and optimization in healthy volunteers to establish a dedicated 7T MRI protocol for vessel imaging at 7T. We implemented MPRAGE, T2 TSE, SWI, and ToF for anatomico-morphological vessel-delineation and optimized T1 SPACE and T1 SE for vessel wall delineation. |
| 4150 | Cerebrovascular dual-venc 4D flow MRI: Assessment of arterial pulsatility and resistance measures in intracranial atherosclerotic disease | |
| Jackson Moore1, Maria Aristova1, Ramez Abdalla1, Ann Ragin1, Eric Russell1, Fan Caprio2, Michael Hurley1, Susanne Schnell3, Sameer A. Ansari1, and Michael Markl1 | ||
1Radiology, Northwestern University, Chicago, IL, United States, 2Neurology, Northwestern University, Chicago, IL, United States, 3Universitaet Greifswald, Greifswald, Germany |
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Intracranial atherosclerotic disease (ICAD) is a known risk factor for ischemic stroke. There is a need to develop quantitative imaging biomarkers to identify patients who may not respond to medical management. Here, the pulsatility index (PI) and resistivity index (RI) are derived from 4D flow MRI using a semi-automated vessel identification and segmentation workflow for 7 subjects with severe ICAD. Initial results show significant asymmetries (PI: 0.89 ± 0.2 vs 1.06 ± 0.1, p = 0.04; RI: 0.92 ± 0.1 vs 1.03 ± 0.07, p = 0.009) for affected vessels as well as contralateral hemisphere changes compared to controls. |
| 4151 | Reproducibility of quantitative measures of intracranial arterial geometry: dependence on sequence and scanner platform differences | |
| Niranjan Balu1, Wenjin Liu1, Zhensen Chen1, Anders Gould1, Dan S Hippe1, Li Chen1, Binbin Sui2, Mi Shen2, Peiyi Gao2, Thomas S Hatsukami1, and Chun Yuan1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Beijing Tiantan Hospital, Beijing, China |
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Distal intracranial artery length measurement on TOF-MRA is a biomarker of age-related vascular changes but its measurement reproducibility in multi-center setting is unknown. We studied the dependence of measurement reproducibility on protocol and scanner platform variation. Reproducibility increased with increasing superior-inferior TOF-MRA coverage and consistency of imaging parameters. After correcting for these factors, high reproducibility was achieved between Philips 3T and Siemens 3T scanner platforms suggesting feasibility of quantitative intracranial vessel length measurements for multi-platform serial MRI studies. |
| 4152 | Preliminary study on plaque characteristics of intracranial artery atherosclerotic stroke in young adults | |
| Ling Li1, Xiao Ling Zhang1, Min Tang1, Xue jiao Yan1, Nian E Ma1, Xiao Yan Lei1, Xin Zhang1, Juan Li1, and Kai Ai2 | ||
1Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China, 2Philips Healthcare, Xi'an, China |
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The aim of this study was to investigate plaque characteristics and clinical risk factors of intracranial atherosclerotic stroke in young adults. The vessel wall characteristics of plaque and clinical data were compared between young and old patients. Our results showed that maximum vessel wall thickness, narrowest vascular area and vessel wall area of young patients were significantly lower than those of old patients, while the number of young patients with plaque positive remodeling was higher. In addition, the number of young people suffering from hyperhomocysteinemia was significantly higher than that of old patients, while suffering from hypertension was significantly lower. |
| 4153 | Ultrahigh Resolution 3T Clinical Black-blood Angiography: A new imaging biomarker of aneurysm occlusion following endovascular therapy | |
| Adam E. Goldman-Yassen1, Eytan Raz2, Anna Derman2, Ahrya Derakhshani3, and Seena Dehkharghani2,4 | ||
1Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States, 2Department of Radiology, New York University Langone Medical Center, New York, NY, United States, 3Department of Radiology, UCLA Health, Los Angeles, CA, United States, 4Department of Neurology, New York University Langone Medical Center, New York, NY, United States |
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High-resolution black-blood vessel wall imaging optimized with robust flow suppression offers reproducible, reliable, and non-invasive longitudinal evaluation of flow diversion treated aneurysms, with superior overall classification accuracy relative to conventional TOF or dynamic MRA. Aneurysm and parent vessel enhancement may persist even after angiographic occlusion during the healing phase of obliterated aneurysm. |
| 4154 | Material investigation for in vitro aneurysm flow model that mimics the arterial vessel and examining the flow in rigid wall model using 4D Flow MRI | |
| Isil Unal1, Duygu Dengiz2, Eckhard Quandt2, Mona Salehi Ravesh1, Jan-Bernd Hövener3, Mariya Pravdivtseva1, and Olav Jansen1 | ||
1Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany, Kiel, Germany, 2Institute for Materials Science, Faculty of Engineering, University of Kiel, Germany., Kiel, Germany, 3Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Kiel, Germany |
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Blood flow , which is one of the factors leading to aneurysm rupture, can be measured in vivo by 4D flow MRI. In this study, the flow in 3D printed, patient-derived models was measured in vitro. Elastic modulus of materials were investigated to mimic the real brain arteries. |
| 4155 | The application of High-Resolution Vessel Wall MRI(HR-VW-MRI) in determining the stability of intracranial MCA and BA plaques | |
| Hongwei Zhou1, Derui Kong1, and Tianjing Zhang2 | ||
1The First Hospital of JiLin University, Changchun City,Jilin Province, China, 2Philips healthcare, Guangzhou City,Guangdong Province, China |
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The stability of intracranial of the middle cerebral artery(MCA) and basilar artery( BA) plaques related to the stroke events is a crucial issue. However, the discrimination of the plaque’s stability could be rather challenging. Compared with traditional imaging methods such as CTA, MRA or DSA, high-resolution vessel wall MR imaging(HR-VW-MRI) method could demonstrate the abnormality of the vessel wall .It could also potentially evaluate the stability of the intracranial artery. This study aims to compare HR-VW-MRI’s characteristic features of MCA plaque with BA plaque, and to figure out the relationship between plaques’ imaging features with the stroke events. |
| 4156 | Significant lower WSS and higher OSI on enhanced wall area of intracranial aneurysm | |
| Mingzhu Fu1, Shuo Chen1, Miaoqi Zhang1, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China |
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we studied the relationship between aneurysm wall enhancement and distribution of hemodynamic parameters including WSS and OSI on aneurysm wall from pixel-wise perspective based on the self-control of aneurysm. Statistics indicated that enhanced wall area of intracranial aneurysm had significant lower WSS and higher OSI. |
| 4157 | Silent MR Angiography for the Depiction of cerebral arteriovenous Malformations: A Comparison of Techniques | |
| Chunxue Wu1, Mengqi Dong1, Tao Hong2, Hongqi Zhang1, and Jie Lu1 | ||
1Xuanwu Hospital Capital Medical University, Beijing, China, 22030921@qq.com, Beijing, China |
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Digital subtraction angiography (DSA) is the golden standard of radiological technique for diagnosis and treatment evaluation of cerebral arteriovenous malformations (CAVMs). However, DSA is invasive and ionizing radiative. Silent MRA, which combines arterial spin labeling (ASL) and an ultrashort time echo (UTE), is used for CAVM structure visualization. The silent MRA is superior to TOF-MRA and enables the same Spetzler-Martin classification of cerebral AVM as that at DSA. |
| 4158 | Comparisons of high-resolution intracranial vessel wall MRI findings in different types of middle cerebral artery territory infarction | |
| So Yeon Won1, Jihoon Cha1, Hyun Seok Choi1, Young Dae Kim2, Hyo Suk Nam2, Ji Hoe Heo2, and Seung-Koo Lee1 | ||
1Radiology, Severance Hospital, Seoul, Korea, Republic of, 2Neurology, Severance Hospital, Seoul, Korea, Republic of |
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Our object is the evaluation of spatial relationship of MCA plaque and perforator in different types of MCA infarction using VW-MRI. We included 34 patients with acute MCA infarction and divided into 3 groups according to infarction pattern. We evaluated location relationship between perforators and plaques. Wall area, stenosis degree and plaque enhancement were calculated. There was difference in relationship between plaque and perforator, location and characteristics of plaque in different types of MCA infarction. In patients with BOD, the plaque margin was closer to perforator orifice with less stenosis and enhancement than patients with artery to artery embolism. |
| 4159 | Application of 3D vessel wall high-resolution MR(3D VW-MR) imaging in Primary Angiitis of the Central Nervous System | |
| Hongwei Zhou1, Derui Kong1, and Tianjing Zhang2 | ||
1The First Hospital of JiLin University, Changchun City,Jilin Province, China, 2Philips healthcare, Guangzhou City,Guangdong Province, China |
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Primary angiitis of the central nervous system(PACNS) is a kind of rare disease,but the clinical diagnosis is difficult. Recently, high-resolution HR-3D-VW-MRI(3-dimensional vessel wall MR imaging) method has been used to evaluate cerebral vessels because it could directly show the vessel wall as well the lumen;thus it can assist in differentiating various types of vasculopathy. The purpose of our study was to summarize the typical imaging performance of PACNS and evaluate the value of 3D- VW-MRI sequence in demonstrating the detailed information in detection, diagnosis, evaluation, and follow-up for PACNS. |
| 4160 | Application Value of High-resolution Vessel Wall Imaging for Quantitative Analysis of Lipid-rich Necrotic | |
| Mengjiao Wei1, Yang Gao1, Qiong Wu1, Shaoyu Wang2, and Huapeng Zhang2 | ||
1Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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This study investigated the feasibility and accuracy of the maximum wall thickness(MWT), the lipid-rich necrotic core percentage(%LRNC) and the carotid atherosclerosis (CAS) score to predict stroke and diagnose vulnerable plaques. Our results showed that quantitative lipid-rich necrotic core can effectively diagnose vulnerable plaques and predict the risk of stroke, in addition, the CAS score can simply grade carotid artery plaques and provide a basis for clinical diagnosis and treatment. |
| 4161 | Evaluation of registration accuracy for cerebral vessel on pre- and postcontrast T1 black blood images by Elastix | |
| Wei Qiu1, Hanyu Wei1, Shuo Chen1, and Rui Li1 | ||
1Center for Biomedical Image Research, Department of Medicine, Tsinghua University, Beijing, China |
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Image registration plays a prominent role in medical image processing pipeline1. It’s of interest to assess pre-post variation for registered vessels on black blood MR images. In this research, Elastix tool was applied to register pre-contrast T1 and post-contrast T1 black blood images, use our own methods to actually and accurately evaluate the accuracy of the registration, and achieved promising quantitative results. The study suggests that Elastix performs good registration accuracy of the two images, and can be directly used for automatic image processing, so as to more conveniently serve clinical applications. |
| 4162 | The Impact of Acceleration Factors of Compressed Sensing on the Image Quality of 3D-TOF-MRA for Cervical Vessels | |
| Haonan Zhang1, Qingwei Song1, Jiazheng Wang2, Peng Sun2, Renwang Wang1, Nan Zhang1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2PHILIPS——Philips Healthcare, beijing, China |
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Traditional 3D-TOF Magnetic Resonance Angiography (MRA) in carotid imaging needs a relatively long scan time and is prone to be disturbed by motion artifacts such as vascular pulsation, respiratory movement, and some other physiological factors. A combination of compressed sensing (CS) can achieve high acceleration factors and thus lead to a significant reduction of scan time. Here, we investigated the impact of acceleration factors of compressed sensing on the image quality of 3D-TOF-MRA for cervical vessels. CS acceleration factor of 6 is recommended for clinical 3D-TOF carotid MRA to achieve an optimal balance between imaging time and image quality. |
| 4163 | Investigation into the Cerebrovascular Effects of Gender Affirming Therapy in Transgender Men using TOF-MRA and pCASL | |
| Samantha Cote1, Reihaneh Forouhandehpour1, Etienne Croteau1, Diane Rottembourg2, Jean-Francois Lepage2, and Kevin Whittingstall3 | ||
1Département de médecine nucléaire et radiobiologie, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Département de pédiatrie, Université de Sherbrooke, Sherbrooke, QC, Canada, 3Département de radiologie diagnostique, Université de Sherbrooke, Sherbrooke, QC, Canada |
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We investigated if gender affirming hormonal therapy (GAHT) in young transgender men receiving testosterone (T) impacts cerebrovascular function and structure using pseudo-continuous arterial spin labelling (pCASL) and time of flight magnetic resonance angiography (TOF). We observed decreases in CBF and arterial vessel diameter. These results suggest an association between increased serum T and decreases in CBF which may be related to changes in cerebrovascular morphology. |
| 4164 | Type and Time of Dialysis Are Independent Indicators for Carotid Atherosclerosis in End-stage Renal Disease Patients on Dialysis | |
| Yuze Li1, Chunmiao Chen2, Yajie Wang1, Jie Li2, Xiaoli Sun2, Shuiwei Xia2, Lie Jin2, Yani Ye2, Jiansong Ji2, and Huijun Chen1 | ||
1Center for Biomedical Imaging Research, Medical School, Tsinghua University, Beijing, China, 2The Central Hospital of Zhejiang Lishui, Lishui, China |
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In this work, the vessel wall characteristics of carotid artery was measured on T1w, T2w and SNAP images in end-stage renal disease patients on dialysis. Totally, 94 patients were included. The time on dialysis was significantly and positively correlated with the mean wall area (p=0.012), normalized wall index (p=0.006), maximal wall thickness (p=0.005) and mean wall thickness (p=0.010). The presence of plaque was found to be significantly and independently associated with the dialysis type (p=0.047) and time on dialysis (p=0.032). |
| 4322 | Simultaneous Oxygenation and Metabolic Imaging Relates Oxygen and Neuronal Metabolism in Acute Stroke | |
| Tianxiao Zhang1, Rong Guo2,3, Tianyao Wang4, Zengping Lin1, Yudu Li2,3, Yibo Zhao2,3, Jun Liu4, Danhong Wu5, Zheng Jin6, Xin Yu7, Zhi-Pei Liang2,3, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 5Neurology Department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 6Shanghai Minhang Hospital of Integrated Traditional Chinese and Western Medicine Hospital, Shanghai, China, 7Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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Elevated oxygen extraction fraction and impaired neurometabolic metabolism are hallmarks of at-risk tissue in acute ischemic stroke. This study investigated the concurrent changes of oxygen and neuronal metabolisms. In an 8-min scan using SPICE, we simultaneously obtained 3D maps of neurometabolites (2.0 x 3.0 x 3.0 mm3 nominal spatial resolution) and T2'/oxygen extraction fraction (1.0 x 1.0 x 1.9 mm3 nominal resolution). Our results showed the expected changes in oxygenation and neurometabolite markers individually, and also their coupling. This study may lay a foundation for prediction of tissue viability in acute stroke using noninvasive multimodal high-resolution metabolic imaging. |
| 4323 | WITHDRAWN |
| 4324 | A Shearlet-based whole brain vein segmentation algorithm and its application for the detection of regional differences in venous oxygenation | |
| Sina Straub1, Janis Stiegeler1,2, Edris El-Sanosy3, and Till M. Schneider4 | ||
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 44Department of Neuroradiology, University of Heidelberg, Heidelberg, Germany |
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Generating whole-brain vein segmentations can be very time-consuming. In this abstract, a method is proposed that can segment brain veins from a single-echo or multi-echo gradient echo scan. The segmentation algorithm combines classical vessel enhancement filtering and local thresholding methods with a shearlet-based multi-scale approach. Compared with a ground truth, the algorithm performs better for multi-echo data when R2* information is included in the segmentation. Moreover, the combination of venous segmentation with masks for deep and superficial venous territories yields higher susceptibility values for the superficial venous vasculature which is in accordance with a higher oxygen consumption of the cortex. |
| 4325 | A Flexible Computational Framework for Characterization of Dynamic Cerebrovascular Response to Global Hemodynamic Stimuli | |
| Siddhant Dogra1, Xiuyuan Wang2, Jelle Veraart3, Alejandro Gupta3, Koto Ishida3, Deqiang Qiu4, and Seena Dehkharghani3 | ||
1Radiology, New York University Langone Health, New York, NY, United States, 2Weill Cornell, New York, NY, United States, 3New York University Langone Health, New York, NY, United States, 4Emory University, Atlanta, GA, United States |
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Cerebrovascular reactivity (CVR) is conventionally assessed by comparing discrete cerebral blood flow measurements obtained prior to and following a hemodynamic stimulus. Blood-oxygen-level-dependent (BOLD)-MRI provides potentially continuous, dynamic CVR characterization when coupled to stimuli such as acetazolamide (ACZ), but poor signal-to-noise generally limits its analysis to an analogous comparison of arbitrarily defined terminal BOLD signals relative to baseline. We present a novel framework incorporating temporal and spatial denoising to pre-condition the dynamic time-signal course for robust voxel-level maximal and terminal CVR, and novel CVR time-to-peak and related kinetic features, disambiguating confounders related to potentially non-optimal terminal CVR assignment in conventional use. |
| 4326 | Relationship of FLIAR vascular hyperintensity territory with APCVs and venous oxygen saturation in patients with cerebral infarction | |
| Pei-pei chang1, Yan-wei Miao1, Yu-han Jiang1, Yi-wei Che1, Bing-bing Gao1, Li-hua Chen1, Qing-wei Song1, Ren-wang Pu1, Ai-lian Liu1, Liang-jie Lin2, and Jia-zheng Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Da Lian, China, 2Philips Healthcare, Bei Jing, China |
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Previous studies have suggested that fluid-attenuated inversion recovery vascular hyperintensity (FVH) and asymmetrical prominent cortical veins (APCVs) may be related with collateral flow in cerebral ischemia. Some studies showed susceptibility-weighted imaging (SWI) can reflect oxygenation fraction (OEF) in venous blood. Here, we prospectively compared the differences of FVH and APCVs scores in different types of vascular stenosis, and analyzed the relationships of the FVH score with the APCVs score, the venous-oxygen-saturation related MR measurements as well as the NIHSS score in patients with cerebral infarction. It was found that FVH and APCVs scores in severe-occlusion group were significantly higher than those in mild-to-moderate group. In addition, FVH score was positively correlated with APCVs score, rΔφ (phase value) and NIHSSadmission. It suggests that the occurrence of FVH is related to cerebral oxygen metabolism. |
| 4327 | A Local Linear Regression Algorithm for Partial Volume Correction in Brain Oxygen Extraction Fraction Estimation | |
| Yasheng Chen1, Chunwei Ying2, Peter Kang1, Slim Fellah1, Amy Mirro3, Melanie Fields3, Kristin Guilliams1, Jin-Moo Lee1, Andria Ford1, and Hongyu An4 | ||
1Neurology, Washington University School of Medicine, St. Louis, MO, United States, 2Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, 3Pediatrics Hematology, Washington University School of Medicine, St. Louis, MO, United States, 4Washington University School of Medicine, St. Louis, MO, United States |
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Measurement of oxygen extraction fraction (OEF) provides important information about tissue oxygen utilization. OEF maps can be obtained using a double echo asymmetric spin echo (ASE) sequence. Partial volume effect may lead to inaccurate OEF measurements in regions with mixed tissue types. We introduced a local linear regression algorithm to correct for partial volume effect. The PVC OEF method reduced model fitting errors and signal contamination of CSF, and it improved the association between OEF and WMH lesion burden. |
| 4328 | Predicting the Neurodegeneration after Stroke using Disconnectivity Map | |
| Takayuki YAMAMOTO1, Hikaru FUKUTOMI1, Vincent DOUSSET1,2, Igor SIBON3, and Thomas TOURDIAS1,2 | ||
1Institut de Bio-imagerie IBIO, Université de Bordeaux, Bordeaux, France, 2Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, France, 3Unité de soins intensifs neurovasculaires, CHU de Bordeaux, Bordeaux, France |
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We investigated remote effects of brain infarction. We previously demonstrated higher iron content (higher R2* values) in deep nuclei as a consequence of their disconnection. Here, we aimed at predicting such long term remote degeneration from the acute stage. Through a disconnectivity approach, we mapped the fibers that were likely to be disconnected by projecting the acute stroke masks on tractograms from 180 healthy volunteers. We showed that disconnected areas based on this approach were likely to show significantly higher iron content at follow-up. This validates the prediction of deep nuclei disconnection from acute stage through a disconnectivity approach. |
| 4329 | Revisit on the cerebrovascular responses to end-tidal CO2 fluctuations during spontaneous breathing as a surrogate of regional cerebrovascular reactivity assessment under hypercapnic challenge | |
| Suk-tak Chan1, Karleyton C. Evans2, Tian-yue Song1, Andre van der Kouwe1, Bruce R. Rosen1, Yong-ping Zheng3, and Kenneth K. Kwong1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Biogen, Inc., Cambridge, MA, United States, 3Department of Biomedical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong |
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Regional cerebraovascular reactivity (CVR) to endogenous carbon dioxide (CO2) during spontaneous breathing (i.e. end-tidal partial pressure of CO2 (PETCO2) measured at rest), was substantially different from that obtained under externally applied CO2 challenge. Individual maps of CVR to endogenous CO2 showed significant inter-subject variability while CVR maps under hypercapnic challenge did not. Such inter-subject variability was not reduced by correction of respiratory effects. In addition, the CVR to end-tidal partial pressure of oxygen (PETO2) during spontaneous breathing shows less inter-subject variability. Our findings question the compatibility of using CVR during spontaneous breathing as a surrogate of CVR under hypercapnic challenge. |
| 4330 | Distinct Effects on Cognition Caused by the Side of Asymptomatic Carotid Artery Stenosis | |
| Jyun-Ru Chen1, Chun-Jen Lin2,3, I-Hui Lee2,3,4, and Chia-Feng Lu1 | ||
1National Yang-Ming University, Taipei, Taiwan, 2School of Medicine, National Yang-Ming University, Taipei, Taiwan, 3Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 4Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan |
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Previous studies reported that the patients with asymptomatic internal carotid stenosis (aICS) had a higher risk of stroke and neurocognitive impairment. However, whether the side of aICS could cause different neurocognitive outcomes was less explored. In this study, significant difference of functional connectivity (FC) was found between the left and right aICS groups. The association between FC and neuropsychological measures (dizziness, immediate and delayed recall verbal memory) revealed by the correlation analysis also presented different profiles between two aICS groups. |
| 4331 | Agreement of CVR maps acquired using hypocapnic and hypercapnic breathing tasks | |
| Kristina M. Zvolanek1,2, Rachael C. Stickland2, Stefano Moia3,4, Apoorva Ayyagari1,2, César Caballero-Gaudes3, and Molly G. Bright1,2 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 3Basque Center on Cognition, Brain and Language, Donostia, [Gipuzkoa], Spain, 4University of the Basque Country EHU/UPV, Donostia, [Gipuzkoa], Spain |
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The addition of a breath-hold or deep breathing task to the beginning of a resting state fMRI scan is a feasible method for cerebrovascular reactivity (CVR) mapping. However, these two tasks rely on different physiological mechanisms with different temporal properties. We used a bespoke analysis method to account for voxelwise hemodynamic lag and assessed its impact on agreement between CVR measurements from each breathing task. Good agreement was observed both across the brain and across subjects, regardless of hemodynamic lag correction, indicating both tasks are comparable options for BOLD CVR measurements in healthy subjects. |
| 4332 | Effect of Myelin Content on Cognitive Outcomes in Cerebral Small Vessel Disease | |
| Elizabeth Dao1, Roger Tam1, Ging-Yuek R Hsiung1, Lisanne ten Brinke1, Rachel Crockett1, Cindy K Barha1, Youngjin Yoo1, Walid al Keridy2, Stephanie H Doherty1, Alex L MacKay1, Cornelia Laule1, and Teresa Liu-Ambrose1 | ||
1University of British Columbia, Vancouver, BC, Canada, 2King Saud University, Riyadh, Saudi Arabia |
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Pathology studies report myelin damage as a salient feature in cerebral small vessel disease (cSVD). Currently, the role of myelin content in-vivo on cognition is poorly understood. Thus, the main purpose of this study was to investigate the association between myelin content and cognitive function in cSVD. Normal appearing white matter (NAWM) myelin water fraction (MWF) was quantified in 55 people with cSVD with spin-echo myelin water imaging. After accounting for age, education, and white matter hyperintensity volume, lower NAWM MWF was significantly associated with slower processing speed and poorer working memory, but not with set shifting or inhibitory control. |
| 4333 | Impaired cerebrovascular reactivity in patients with Huntington's disease | |
| Suk-tak Chan1, Nathaniel Mercaldo2, Kenneth K. Kwong1, Steven M. Hersch3, and Herminia D. Rosas3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Department of Neurology, Massachusetts General Hospital, Boston, MA, United States |
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Multiple subcortical white matter areas showing impaired cerebrovascular reactivity (CVR) in our pre-symptomatic and early Huntington Disease (HD) subjects overlap with the white matter areas and tracts that have been reported to demonstrate altered microstructural integrity. They are also adjacent to cortical brain regions that atrophy as disease progresses in HD. Our findings support that abnormal cerebrovascular function contributes to the neuropathology of HD. |
| 4334 | Quantification of Relative Blood Volume in Squirrel Monkey Brain in vivo using an MRI-based template | |
| Zhangyan yang1,2, Feng Wang1,3, Chaohui Tang1, Li Min Chen1,3, and Gore C. John1,2,3 | ||
1Institute of Imaging Science, Vanderbilt University, Nashiville, TN, United States, 2Biomedical Engineering, Vanderbilt University, Nashiville, TN, United States, 3Department of Radiology and Radiological Science, Vanderbilt University, Nashiville, TN, United States |
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Cerebral blood volume (CBV) is a fundamental hemodynamic characteristic of brain related to blood flow and metabolism. High resolution (sub-millimeter) maps of relative values of CBV (rCBV) provide important information for studies of brain function and changes that occur in brain structure and organization. In this study, by using an intravascular superparamagnetic contrast agent in non-human primates, we quantified high-resolution rCBV maps across subjects, identified alterations of rCBV across regions, and created an rCBV atlas using a brain template. |
| 4335 | Test–Retest Repeatability of Brain Oxygen Metabolism Measurement using MRI | |
| Chunwei Ying1, Michael M. Binkley2, Peter Kang2, Yasheng Chen2, Jin-Moo Lee2,3, Andria L. Ford2, and Hongyu An3 | ||
1Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, 2Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States, 3Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States |
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We evaluated the test-retest repeatability of MR-measurement of CBF, OEF and CMRO2 in whole brain, gray matter, white matter, and watershed regions in healthy subjects. The inter-session wCV was 2.20% in white matter and 2.76% in watershed region for OEF measured with ASE, 15.02% in white matter and 28.73% in watershed region for CBF measured with 2D multi-slice pCASL, and 9.11% in white matter and 17.14% in watershed region for CBF measured with background suppressed 3D pCASL. CMRO2 had similar test-retest repeatability to CBF. |
| 4336 | Detecting Magnetic Resonance Changes in Brain Structure and Function During Stroke Rehabilitation | |
| Jonathan Taylor1, Oun Al-iedani2,3, Saadallah Ramadan3,4, Neil Spratt1, and Sarah Valkenborghs5 | ||
1School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia, 2School of Health Sciences, University of Newcastle, Newcastle, Australia, 3Hunter Medical Research Institute, Newcastle, Australia, 4Faculty of Health and Medicine, University of Newcastle, Newcastle, Australia, 5University of Newcastle, Newcastle, Australia |
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Using Magnetic Resonance (MR) data acquired as part of a feasibility study in stroke rehabilitation, a novel post-processing pipeline was designed and implemented to explore metabolic factors with MR Spectroscopy (MRS). The stroke study looked at the effect of aerobic exercise performed immediately prior to the usual task-specific rehabilitation training. Examining the clinical motor function results in relation to the metabolic data revealed by the MRS pipeline showed some interesting correlations among metabolites and rehabilitation outcomes. |
| 4337 | Processing cerebrovascular reactivity data using shift-invariant dictionary learning | |
| Emilie Sleight1,2, Michael S Stringer1,2, Ian Marshall1,2, Joanna M Wardlaw1,2, Sotirios A Tsaftaris3, and Michael J Thrippleton1,2 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UK Dementia Research Institute, Edinburgh, United Kingdom, 3Institute for Digital Communications, University of Edinburgh, Edinburgh, United Kingdom |
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The BOLD response to a hypercapnic challenge, i.e. cerebrovascular reactivity (CVR), may vary between individuals and tissue types. Linear regression (GLM) between the BOLD signal and the end-tidal CO2 is the most common CVR processing method but does not allow for different haemodynamic responses across the brain. We propose to use shift-invariant dictionary learning (SIDL) as a promising method to enable data-driven extraction of BOLD response(s). We show that CVR and delay estimates from SIDL are comparable to estimates from GLM. Future work will focus on reducing the effect of drift on SIDL estimates. |
| 4338 | Cerebral circulation time related DMN connectivity in intracranial dural arteriovenous fistula before and after treatment | |
| Bejoy Thomas1, Jithin S S1, Sabarish S Sekar1, Santhosh Kannath1, and Ramshekhar N Menon2 | ||
1Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India, 2Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India |
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Cognitive decline is a common non-hemorrhagic complication of intracranial dural arteriovenous fistula (DAVF). Increase in cerebral circulation time (CCT) can be related to significant resting-state functional changes in the brain. 30 DAVF patients and a similar cohort of age-matched controls underwent resting-state functional MRI (rsfMRI) and the results were correlated with CCT and neuropsychological profile. Patients with high CCT showed decreased connectivity at DMN seed regions and less compensatory pre-frontal connectivity (pFDR < 0.05), which showed a trend in reversal after a month of embolisation therapy. These findings may be of significance in formulating treatment strategies in DAVF. |
| 4339 | fMRI based evaluation of yoga-induced changes in ischemic post-stroke patients | |
| Rama Jayasundar1, Dushyant Kumar1, Rajesh Mishra1, Priyanka Jain2, Jaideep Sachdeva3, Chahat Kumar1, Priyanka Bhagat4, and Padma Srivastava4 | ||
1Department of NMR, All India Institute of Medical Sciences, New Delhi, India, 2Centre for Development of Advanced Computing, New Delhi, India, 3Manipal University, Jaipur, India, 4Department of Neurology, All India Institute of Medical Sciences, New Delhi, India |
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This fMRI study has evaluated for the first time, the functional changes effected by yoga in post-stroke (ischemic) recovery. Left hemisphere stroke patients (n=13) with motor deficits practiced Hatha yoga for one hour daily for six months under the supervision of certified yoga trainers. Pre-intervention, and 3 and 6 months post-yoga intervention assessments were carried out using fMRI at 3T and also clinically evaluated using NIHSS score. Results show positive response to yoga, reflected both in the significantly reduced NIHSS scores and the increased BOLD activity in the left pre-central gyrus region in the stroke patients. |
| 4340 | Clinical Phenotype Polymorphism of Ischemic Stroke Underpinned by Inter-network Functional Connectivity | |
| Lijuan Zhang1, Siqi Cai1,2, Chunxiang Jiang1,2, Shihui Zhou1,2, and Li Yi3 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Peking University Shenzhen Hospital, Shenzhen, China |
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The clinical profile of motor deficit after ischemic stroke may vary greatly, which are not fully attributable to the lesion topography. Investigation of the clinical phenotype polymorphism is promising to provide new insights to infer the relevance of functional remodeling to the refinement of the disease characterization and management of ischemic stroke. |
| 4341 | Monte Carlo Simulation Study of Asymmetric Spin Echo and Preliminary Estimation of Vessel Size Index | |
| Jian Shen1 and John Wood1,2 | ||
1University of Southern California, Los Angeles, CA, United States, 2Children's Hospital Los Angeles, Los Angeles, CA, United States |
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Asymmetric spin echo (ASE) sequence is a technique for mapping oxygen extraction fraction (OEF) and venous cerebral blood volume (vCBV). However, there might be an overestimation of vCBV due to the diffusion effect related to vessel size. In this study, we use Monte Carlo simulation to study this effect and investigate the feasibility of estimating vessel size index from ASE data. |
| 4342 | Exploring the effect of aquaporin-4 suppression on cell membrane water exchange in a mouse model of brain ischemia using diffusion-weighted MRI | |
| Takuya Urushihata1, Hiroyuki Takuwa1, Manami Takahashi1, Yasuhiko Tachibana2, Jeff Kershaw2, Nobuhiro Nitta2, Sayaka Shibata2, Masato Yasui3, Makoto Higuchi1, and Takayuki Obata2 | ||
1Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, QST, Chiba, Japan, 2Applied MRI Research, National Institute of Radiological Sciences, QST, Chiba, Japan, 3Keio Advanced Research Center for Water Biology and Medicine, Keio University, Tokyo, Japan |
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We measured multi-b-value multi-diffusion-time (MbMTd) DWI and compared ADCs in the ischemic focii of aquaporin4-knockout (AQP4-KO) and wild type (WT) mice. In the ischemic region, AQP4-KO mice showed lower ADCs compared to WT mice, whereas higher ADCs were observed in the contralateral region. In addition, we compared estimates of cell membrane water exchange time obtained by fitting a two-compartment exchange model to the DWI signal. The exchange-time was approximately 2.5 times longer for the AQP4-KO mice than for the WT mice. These results suggest that MbMTd DWI may be useful for in vivo research and clinical diagnosis of AQP4-related diseases. |
| 4343 | Accuracy of Intravoxel Incoherent Motion (IVIM) for quantification of perfusion-diffusion mismatch in Acute Stroke. | |
| Mira Liu1, Yong Jeong1, Gregory Christoforidis1, Niloufar Saadat2, Steven Roth3, Marek Niekrasz1, and Timothy Carroll1 | ||
1The University of Chicago, Chicago, IL, United States, 2Northwestern University, Chicago, IL, United States, 3University of Illinois at Chicago, Chicago, IL, United States |
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This is a retrospective validation study of intravoxel incoherent motion (IVIM) over a range of physiologic conditions: normocapnia, hypercapnia, and post middle cerebral artery occlusion. We performed controlled two-day experiments in a canine model (n=17) of ischemic stroke with baseline (normocapnia) and hypercapnia on the first day followed by occlusion on the second. We compared IVIM perfusion and diffusion images with neutron capture microsphere perfusion, DSC perfusion, and Apparent Diffusion Coefficient (ADC) from standard DWI. We found excellent agreement between IVIM for both perfusion and diffusion indicating IVIM may serve as a means of stratifying acute stroke patients for treatment. |
| 4344 | Central pulse pressure and its influence on carotid artery morphology predict white matter hyperintensity volumes | |
| Andrew Crofts1, Jessica J Steventon2, Joseph R Whittaker3, Marcello Venzi1, Hannah L Chandler4, Mahfoudha Al Shezawi5, Eric J Stohr6, Chris Pugh6, Barry McDonnell6, and Kevin Murphy1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 2CUBRIC, School of Medicine, Cardiff University, Cardiff, United Kingdom, 3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 5Cardiff Metropolitan University, Cardiff, United Arab Emirates, 6Cardiff Metropolitan University, Cardiff, United Kingdom |
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Cardiovascular risk factors have been linked with deteriorations in cerebrovascular function in the brain, causing cell loss, particularly in the white matter. The mechanisms by which cardiovascular risk factors influence the microvasculature is unclear. Increased blood pressure and associated arterial stiffness/morphological changes in larger cerebral vessels are thought to play a key role. Here, we demonstrate that central pulse pressure along with associated changes in carotid radius and tortuosity better predict the white matter lesion burden in the brain compared with other measures of blood pressure and systemic arterial stiffness. |
| 4345 | Changes in Functional Connectivity and Cognition in HIV Infected Individuals with Cerebral Small Vessel Disease | |
| Kyle Douglass Murray1, Alan Finkelstein1, Miriam Weber1, Jianhui Zhong1, and Giovanni Schifitto1 | ||
1University of Rochester, Rochester, NY, United States |
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HIV-infected individuals are at increased risk of developing cerebrovascular diseases, such as cerebral small vessel disease (CSVD). Further, cognitive deficits as a result of chronic infection are common. In this abstract, we use a graph theoretical analysis of resting-state functional connectivity to show that functional and cognitive changes are driven by both HIV-infection and CSVD. We observed correlations between global and local graph theory metrics and cognitive scores derived from neuropsychological testing in the presence of HIV. We also describe potential compensatory changes in global brain function to combat functional deficits from HIV and CSVD. |
| 4346 | Is Arterial Spin Labeling Effective in Measuring Cerebrovascular Reactivity? A Test-retest Study on Impact of Labeling Efficiency | |
| Taghi Rostami1, Moss Y Zhao2, Audry P Fan3, David Yen-Ting Chen4, Magdalina J Sokolska5, Jia Guo6, Yosuke Ishii7, David D Shin8, Mohamad Mehdi Khalighi2, Dawn Holley2, Kim Halbert2, Andrea Otte2, Brittney Williams2, Jun-Hyung Park2, Bin Shen2, and Greg Zaharchuk2 | ||
1Bioengineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Medical Imaging, UC Davis, Davis, CA, United States, 4Taipei Medical University, Taipei, Taiwan, 5University College London Hospitals, London, United Kingdom, 6University of California Riverside, Riverside, CA, United States, 7Tokyo Medical. and Dental University, Tokyo, Japan, 8GE Healthcare, Menlo Park, CA, United States |
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In this study, we examined repeatability of labeling efficiency of single- and multi-PLD arterial spin labeling (ASL) MRI before and after vasodilation in 15 normal subjects. Individual measurements of hematocrit and flow velocity in the carotid and vertebral arteries, obtained by phase-contrast (PC) MRI, were used to assess the labeling efficiency for both ASL methods. Our results showed that both labeling techniques achieved high repeatability before and after vasodilation (within-subject Coefficient of Variance pre-ACZ: 0.82 and 1.23%, and post-ACZ: 0.51 % and 1.00%). |
| 4347 | Using diffusion microstructure distributions for prediction of motor outcomes in stroke recovery | |
| Anuja Sharma1, Clint Frandsen1, Ganesh Adluru1, and Edward DiBella1 | ||
1UCAIR, Dept. of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States |
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We investigate the potential advantages of using distribution-valued variables to capture image information instead of the conventional techniques which use mean values to represent entire regions-of-interest. Using distribution-based distances in comparison with a mean-based approach, we explore various models to predict motor performance recovery in stroke patients. Our experiments indicate that for predictor variables Orientation Dispersion index and the Restricted Diffusion Index (diffusion scalars derived from the NODDI model), the distribution representations can lead to significantly improved regression models, over the respective mean values. Additionally, using the baseline Fugl-Meyer scores to predict follow-up Fugl-Meyer scores further enhances the model statistics. |
| 4348 | Longitudinal analysis revealed increased parenchymal free water may be relieved by revascularization surgery in patients with moyamoya disease | |
| Shoko Hara1,2, Masaaki Hori2,3, Yoji Tanaka1, Taketoshi Maehara1, Shigeki Aoki2, and Tadashi Nariai1 | ||
1Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan, 2Radiology, Juntendo University, Tokyo, Japan, 3Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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To investigate specific microstructural change after the revascularization surgery, we evaluated 13 patients with moyamoya disease and 13 age-sex matched normal controls using multishell diffusion MRI. By NODDI and free-water imaging analysis, preoperative hemispheres showed significant increase of extracellular fluid compared to controls, and subsequent significant decrease after the surgery. Only free-water eliminated parameter (orientation dispersion index) showed significant difference between patients with and without cognitive improvement after the surgery. Increased parenchymal free water observed in moyamoya disease may decrease after the surgery, and free-water elimination might be useful to detect true neuronal change related to postoperative cognitive improvement. |
| 4349 | Feasibility of amide proton transfer weighted imaging in the diagnosis of patients with symptomatic intracranial artery stenosis | |
| Kunjian Chen1, Weiqiang Dou2, Xinyi Wang1, Weiyin Vivian Liu2, Xinyu Wang1, Huimin Mao1, and Yu Guo1 | ||
1The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2MR Research China, GE Healthcare, Beijing, China |
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The main purpose was to explore the feasibility of amide proton transfer weighted (APTw) imaging in diagnosing patients with symptomatic intracranial artery stenosis (SIAS). 27 patients with severe intracranial artery stenosis (≥ 70%) or occlusion diagnosed by DSA but without infarction were recruited for MRI measurement. Compared to the contralateral area, higher APT relevant MTRasym ratio and lower cerebral-blood-flow (CBF) measured by 3D arterial-spin-labeling imaging were found in the abnormal blood supply area by the corresponding ipsilateral vessels. With these findings, APTw imaging may thus be used as an effective method providing added clinical value in diagnosing of SIAS. |
| 4350 | 4D Flow MRI assessment of cerebral blood flow before and after superficial temporal artery-middle cerebral artery bypass surgery | |
| Mingzhu Fu1, Chao Xia2, Miaoqi Zhang1, Yutao Ren2, Shuo Chen1, Rui Tian2, Yi Liu2, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China |
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In this study, we utilized 4D Flow MRI to assessed and compared the change of cerebral blood flow in patients with MMD before and after STA-MCA bypass surgery. Statistics indicated that BFVtotal significantly increased after bypass surgery while no differences were found in BFViICA, BFVcICA and BFVBA. This is probably because the STA-MCA bypass could directly compensate for blood flow supply and play a role in flow augmentation for the whole brain. The results of this study suggested that STA-MCA bypass could improve the cerebral blood supply without affecting the hemodynamics of other arteries, such as BA and ICA. |
| 4351 | Relationship between FVH and the blood perfusion, acid-base metabolism and edema in patients with acute/subacute infarction | |
| Pei-pei Chang 1, Yan Wei Miao1, Yu-han Jiang1, Yi-wei Che1, Bing-bing Gao1, Li-hua Chen1, Qing-wei Song1, Ren-wang Pu1, Ai-lian Liu1, Liang-jie Lin2, and Jia-zheng Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Da Lian, China, 2Philips Healthcare, Bei Jing, China |
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This study prospectively compared the differences of fluid-attenuated inversion recovery vascular hyperintensity (FVH) score and MR measurements between patients with mild-to-moderate and severe vascular stenosis, and analyzed the relationship between the FVH score and MRI measurements. It was found that the FVH score in severe-occlusion group were higher than those in mild-to-moderate stenosis group. In addition, FVH scores were positively correlated with the ratio of relative CBF2.5 value, and negatively correlated with the ADC value, indicating FVH score was correlated with collateral circulation and brain edema. No significant correlation was observed between the FVH score and amide-proton-transfer weighted measurement, suggesting that FVH had little effect on acid-base metabolism. |
| 4352 | Mapping of Relative Water Exchange Index (rWEI) in Post Thrombectomy Patients | |
| Young Ro Kim1 and Jerrold L Boxerman2 | ||
1Radiology, MGH, Charlestown, MA, United States, 2Neuroradiology, Brown University, Providence, RI, United States |
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Previously, water exchange index (WEI) was proposed to quantify the rate of water movement across the blood-brain barrier (BBB). Although efficient and clinically applicable, the technique could not reliably provide voxelwise WEI maps due to the inadequate signal to noise ratio (SNR). In remedy of this shortcoming, we here present the relative WEI (rWEI) method, which enables voxelwise mapping of BBB water exchange while significantly reducing the acquisition time (< 10 min). To confirm the validity of the technique, the rWEI maps were acquired in post thrombectomy patients with unilateral infarct and compared with the WEI values. |
| 4353 | Effect of low dose daily aspirin on cerebral blood flow and kidney function in hypertensive rats | |
| Greg O Cron1, Rafael Glikstein2, Jean Francois Thibodeau3, Anthony Carter3, Chet E Holterman3, Alexey Gutsol3, Lihua Zhu3, Baptiste Lacoste3, and Chris Kennedy3 | ||
1Ottawa Hospital Research Institute, Ottawa, ON, Canada, 2The Ottawa Hospital, Ottawa, ON, Canada, 3University of Ottawa, Ottawa, ON, Canada |
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For hypertensive patients taking low-dose aspirin, there may be risk of kidney injury. NSAIDs block vasoactive prostaglandin production, potentially blunting the reopening of hypertension-constricted renal vessels, thereby decreasing renal blood flow. We hypothesized that hypertension would predispose rats to low-dose aspirin induced kidney and cerebrovascular injury. Hypertensive rats who received low-dose daily aspirin appeared to have decreased cerebral blood flow, however the data must be interpreted with caution, as statistical power was lacking. Of interest, rats given both AngII and ASA developed significant kidney and cerebrovascular injury, suggesting a possible deleterious effect of this drug combination on the vasculature. |
| 4354 | DTI-based Longitudinal Assessment of Stroke Recovery at 21.1 T | |
| David C. Hike1,2, Taylor A. Ariko1,2, Frederick A. Bagdasarian1,2, Shannon Helsper1,2, 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 |
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This research utilizes DTI and graph theory to provide a method for monitoring the progression of structural stroke recovery at 21.1 T. Edema that occurs for multiple days post the initial ischemic limits the ability for tractography to be used for any meaningful connectivity analysis before day 5. After this initial phase, graph theory provides metrics for determining the progression of recovery in major white matter regions of the ischemic brain. This method could be utilized as a means for determining the efficacies of different treatments compare with standard stroke recovery. |
| 4355 | Fast Tractography Demonstrates the Topography of the Corpus Callosum In Ideal and Post-stroke Conditions | |
| Jacqueline Chen1, Mark Lowe1, Ken Sakaie1, Kenneth Baker2, Andre Machado3, and Stephen Jones1 | ||
1Cleveland Clinic Imaging Institute, Cleveland, OH, United States, 2Cleveland Clinic Lerner Research Institute, Cleveland, OH, United States, 3Cleveland Clinic Neurological Institute, Cleveland, OH, United States |
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Accurate white-matter tractography maps can be a useful clinical tool for assessing neurological disorders, however, incorrect assumptions within tractography algorithms can yield non-physiological results. We have developed a tractography methodology based on probability theory that uses both local and global information to improve accuracy, and standard partial differential equation solvers for fast whole-brain mapping. In this abstract we demonstrate: 1) the accuracy of the method by comparing a topographical map of the corpus callosum (CC) generated from a symmetrized human data phantom to published maps; 2) how differences in CC topography may be associated with stroke location and functional disability. |
| 4356 | Quantitative Analysis of DCE-MRI Following Transient Middle Cerebral Artery Occlusion in a Novel Ovine Model | |
| Alexandra Ereni King1, Paul D Teal2, Yu-Chieh Tzeng3, Annabel Jain Sorby-Adams4, Isabella Megan Bilecki4, Renée Jade Turner4, and Sergei Obruchkov5 | ||
1School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington, New Zealand, 2School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand, 3Centre for Translational Physiology, University of Otago, Wellington, New Zealand, 4Discipline of Anatomy and Pathology, University of Adelaide, Adelaide, Australia, 5Robinson Research Institute, Victoria University of Wellington, Wellington, New Zealand |
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Following a surgical model of transient and ischaemic stroke, 20 sheep (24-36 months; 65-75kg; 10M, 10F) underwent 2h middle cerebral artery occlusion (MCAO). Dynamic Contrast Enhanced (DCE) MRI datasets were obtained capturing the healthy animal, and progression of the infarct at 24h, 3d, 6d and 28 d post-stroke. Based on established pharmacokinetic models, analysis of these DCE-MRI images allows for calculation of perfusion parameters. The surgical procedure used is standardised and reproducible, meaning that this dataset provides an opportunity for quantitative in vivo analysis of stroke evolution in a clinically-relevant, gyrencephalic large animal model. |
| 4357 | Evaluation of pharmacological hypothermia in rhesus monkey brains using diffusion MRI | |
| Xiaodong Zhang1, Chunxia Li1, Xiaohuan Gu2, Doty Kempf1, Ling Wei2, and Shan Ping Yu2 | ||
1Yerkes Imaging Center, Emory University, Atlanta, GA, United States, 2Department of Anesthesiology, Emory University, Atlanta, GA, United States |
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Previous studies have demonstrated that pharmacological hypothermia could protect the brain from ischemia or traumatic brain injury in rodent models. However, it remains unknown how the brain is affected by the hypothermia in patients as the physiology and brain metabolism of human are very different from rodents. Large animal models have been recommended to improve clinical translation in the study of ischemia . In the present study, the effects of drug-induced hypothermia on the brain of adult macaque monkeys were examined using diffusion MRI. The results suggested large animals play an important role in neuroprotection research of stroke. |
| 4358 | Predictive value of perfusion reduction on ASL for the occurrence of cerebrovascular events in patients with bilateral moyamoya angiography | |
| Maoxue Wang1, Yongbo Yang1, Fei Zhou1, Ming Li1, Jilei Zhang2, and Bing Zhang1,3 | ||
1The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Philips Healthcare, Shanghai, China, 3Institute of Brain Science, Nanjing University Nanjing, Nanjing, China |
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Predictive value of perfusion reduction on ASL for the occurrence of cerebrovascular events in patients with bilateral moyamoya angiography |
| 4359 | Intravoxel incoherent motion two-in-one MR sequence for ischemic stroke diagnosis. Initial clinical experience at 3T. | |
| Aude Pavilla1,2, Giulio Gambarota1, Alessandro Arrigo2, Mehdi Mejdoubi2, and Hervé Saint-Jalmes1,3 | ||
1Inserm, UMR 1099, Université de Rennes 1, LTSI, Rennes, France, 2Department of Neuroradiology, Pierre-Zobda-Quitman Hospital, University Hospital of Martinique, French West Indies, France, Fort-de-France, France, 3CRLCC, Centre Eugène Marquis, Rennes, France |
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This study aims to investigate the feasibility of simultaneously measuring perfusion and diffusion in the acute phase of ischemic stroke with the combined IntraVoxel Incoherent Motion and non-gaussian Diffusional Kurtosis Imaging (DKI-IVIM). For the fifteen patients enrolled, a significant decrease for the diffusion coefficient D and a significant increase in the kurtosis coefficient was observed in the infarcted lesions. Regarding the perfusion, the perfusion fraction f significantly decreased. Enhanced tissues heterogeneity was observable on reconstructed K maps. DKI-IVIM can provide with a clinically acceptable acquisition time both diffusion and perfusion characterization that might be of great interest for stroke diagnosis. |
| 4360 | Altered cognition and emotion-related brain regions in asymptomatic carotid vulnerable plaque group: whole-brain voxel-wise analysis of IVIM | |
| Shuai Yang1, Jiuqing Guo1, Lirong Ouyang1, and Weiyin Vivian Liu2 | ||
1Department of Radiology, Xiangya Hospital, Central South University, Changsha, China, 2MR Research, GE Healthcare, Beijing, China |
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Altered cognition and emotion-related brain regions in patients with asymptomatic carotid vulnerable plaques : preliminary whole-brain voxel-wise analysis of intravoxel incoherent motion imaging |
| 4361 | A Fast Tissue Segmentation Algorithm Using ASL Fingerprint Timeseries | |
| Luis Hernandez-Garcia1, Anish Lahiri2, Scott Peltier2, Jon Fredrik Nielsen2, and Benjamin Hampstead2 | ||
1FMRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2University of Michigan, Ann Arbor, MI, United States |
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Partial Volume effects (PVE) in ASL have been shown to lead to significant quantification errors. PVE in ASL fingerprinting data have not been previously investigated but are also likely to introduce significant errors in quantification, given their typically coarse resolution. A simple algorithm is presented to calculate tissue fraction maps from ASL MRF timeseries data without collection of additional anatomical images. These fraction maps can be used to implement partial volume corrections as well as identify tissue abnormalities. |