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Segmentation of Cortical MS Lesions on MRI Using Automated Laminar Profile Shape Analysis [chapter]

Christine L. Tardif, D. Louis Collins, Simon F. Eskildsen, John B. Richardson, G. Bruce Pike
2010 Lecture Notes in Computer Science  
Cortical multiple sclerosis lesions are difficult to detect in magnetic resonance images due to poor contrast with surrounding grey matter, spatial variation in healthy grey matter and partial volume effects  ...  The method is applied to a high-resolution quantitative magnetic resonance data set from a fixed post mortem multiple sclerosis brain, and validated using histology.  ...  The lack of sensitivity of MRI is due to the different pathophysiology of GM in comparison to WM lesions, in particular the absence of inflammation and edema.  ... 
doi:10.1007/978-3-642-15711-0_23 fatcat:e4rypqttebcn7imoz5u3abrwva

Detection of Epileptogenic Cortical Malformations with Surface-Based MRI Morphometry

Thomas Thesen, Brian T. Quinn, Chad Carlson, Orrin Devinsky, Jonathan DuBois, Carrie R. McDonald, Jacqueline French, Richard Leventer, Olga Felsovalyi, Xiuyuan Wang, Eric Halgren, Ruben Kuzniecky (+1 others)
2011 PLoS ONE  
Here we use an automated, surfacebased method for quantifying morphometric features related to epileptogenic cortical malformations to detect abnormal cortical thickness and blurred gray-white matter boundaries  ...  However, the method failed to adequately describe lesion extent in most cases.  ...  First, an estimate of the gray/white matter boundary was constructed by classifying all white matter voxels in the MRI volume.  ... 
doi:10.1371/journal.pone.0016430 pmid:21326599 pmcid:PMC3033882 fatcat:26hofbeokjgxfbgtt4aqydrlve

Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI

Dominik S. Meier, Charles R.G. Guttmann, Subhash Tummala, Nicola Moscufo, Michele Cavallari, Shahamat Tauhid, Rohit Bakshi, Howard L. Weiner
2017 Journal of Neuroimaging  
METHODS: To address nonuniform distribution of noise/contrast (eg, posterior fossa in 3D-FLAIR) of 3T magnetic resonance imaging, the method employs dual sensitivity (different sensitivities for lesion  ...  WML volume difference/precision was .49 ± .72 mL over a range of 0-24 mL.  ...  Fig 7 . 7 Group comparison of automated MRI segmentation results Fig 8 . 8 Effect size for detecting atrophy in multiple sclerosis (MS) via the automated brain parenchymal fraction (BPF) measure.  ... 
doi:10.1111/jon.12491 pmid:29235194 pmcid:PMC5814929 fatcat:cxhs7lhkengvpldqtl55a5piam

Morphometric MRI analysis improves detection of focal cortical dysplasia type II

J. Wagner, B. Weber, H. Urbach, C. E. Elger, H.-J. Huppertz
2011 Brain  
In conclusion, the additional application of morphometric MRI analysis increases the diagnostic sensitivity for FCD II in comparison with conventional visual analysis alone.  ...  Morphometric MRI analysis is a voxel-based post-processing method based on algorithms of the statistical parametric mapping software (SPM5).  ...  Furthermore, we thank Nicole Klein, Department of Neuroradiology, University of Bonn, Germany, for her assistance in obtaining the MRI scans.  ... 
doi:10.1093/brain/awr204 pmid:21893591 fatcat:xrjthk4z2fdwhgkelee4smoyoe

MRI and MRSI Application in Neurodegeneration

Rakesh Sharma
2010 Nature Precedings  
Comparison of H-1 MR metabolite images, 4. in vivo H-1 MR spectral analysis in different regions of brain Lectures in bioimaging, FSU BME4000c • Automated segmentation of Gd-enhanced MS lesions  ...  Proton MRSI (left) and Sodium MRI(right) Sharma(2003)JMS(communicated) Introduction • H-1 gray matter-or white matter-and CSF- suppressed MRI images visualize the MS lesion • MS lesion metabolite  ...  Percent Tissue Composition of Brain GM and NAGM Regions in MS  ... 
doi:10.1038/npre.2010.4317 fatcat:dnhxyohrdffbhnbyc2yfrzhyfq

Validation and comparison of two automated methods for quantifying brain white matter hyperintensities of presumed vascular origin

Jennifer M.J. Waymont, Chariklia Petsa, Chris J. McNeil, Alison D. Murray, Gordon D. Waiter
2019 Journal of International Medical Research  
White matter hyperintensities (WMH) are a common imaging finding indicative of cerebral small vessel disease.  ...  LGA offers a user-friendly, effective WMH segmentation method in the research environment.  ...  that different visual scales correlated differently with semi-automated volumetric methods, 18 indicating that quantitative methods were more sensitive for detecting small group differences. 19 The  ... 
doi:10.1177/0300060519880053 pmid:31612759 fatcat:7lbbikjhkjcd3fy6hsipjedt2m

MRI and MRSI Application in Neurodegeneration

Rakesh Sharma
2010 Nature Precedings  
Comparison of H-1 MR metabolite images, 4. in vivo H-1 MR spectral analysis in different regions of brain Lectures in bioimaging, FSU BME4000c • Automated segmentation of Gd-enhanced MS lesions  ...  Proton MRSI (left) and Sodium MRI(right) Sharma(2003)JMS(communicated) Introduction • H-1 gray matter-or white matter-and CSF- suppressed MRI images visualize the MS lesion • MS lesion metabolite  ...  Percent Tissue Composition of Brain GM and NAGM Regions in MS  ... 
doi:10.1038/npre.2010.4317.1 fatcat:ekvmbkdmozgl5c6jves5o2d6ni

Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability

Renxin Chu, Shelley Hurwitz, Shahamat Tauhid, Rohit Bakshi
2017 BMC Neurology  
For normalized volumes, 3T but not 1.5T detected atrophy in the globus pallidus in the MS group.  ...  Abstract Background: The cerebral subcortical deep gray matter nuclei (DGM) are a common, early, and clinically-relevant site of atrophy in multiple sclerosis (MS).  ...  Availability of data and materials The full datasets used and analyzed during the current study are available from the corresponding author by request.  ... 
doi:10.1186/s12883-017-0949-4 pmid:28874119 pmcid:PMC5584325 fatcat:4yh7vj6ibnhc7loknpi5ipaj4e

Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy

Sophie Adler, Konrad Wagstyl, Roxana Gunny, Lisa Ronan, David Carmichael, J Helen Cross, Paul C. Fletcher, Torsten Baldeweg
2017 NeuroImage: Clinical  
Post-surgical outcome is improved by presurgical lesion detection on structural MRI.  ...  These methods may be applicable to aiding identification of subtle lesions in medication-resistant paediatric epilepsy as well as to the structural analysis of both healthy and abnormal cortical development  ...  Rolf Ypma for his advice on machine learning and Dr. Kirstie Whitaker for her advice on open science.  ... 
doi:10.1016/j.nicl.2016.12.030 pmid:28123950 pmcid:PMC5222951 fatcat:fsfxb5qo7vbqjobupjjzg75vca

Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis

R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham (+9 others)
2017 American Journal of Neuroradiology  
Several automated lesion-detection and whole-brain, cortical, and deep gray matter volumetric pipelines were applied.  ...  RESULTS: Systematic biases due to site differences in expert-traced lesion measurements were significant (P Ͻ .01 for both T1 and T2 lesion volumes), with site explaining Ͼ90% of the variation (range,  ...  ACKNOWLEDGMENTS The following is a full list of individuals who contributed to this NAIMS study-Brigham and Women's Hospital, Harvard Medical School (Boston, Massachusetts): Rohit Bakshi, Renxin Chu, Gloria  ... 
doi:10.3174/ajnr.a5254 pmid:28642263 pmcid:PMC5557658 fatcat:4m27i4ciefa4dc6jksdcoam66u

Portable, Low-Field Magnetic Resonance Imaging Sensitively Detects and Accurately Quantifies Multiple Sclerosis Lesions [article]

Thomas Campbell Arnold, Danni Tu, Serhat Okar, Govind Nair, Samantha By, Karan Kawatra, Timothy E. Robert-Fitzgerald, Lisa M. Desiderio, Matthew K. Schindler, Russell T. Shinohara, Daniel S. Reich, Joel M. Stein
2022 medRxiv   pre-print
However, the sensitivity of low–field MRI for MS lesions is unknown.  ...  We sought to determine if white matter lesions can be detected on a 64mT low–field MRI, compare automated lesion segmentations and total lesion burden between paired 3T and 64mT scans, and identify features  ...  Welch, PhD, for technical assistance and the use of Hyperfine low-field MRI scanners. We thank the Penn Neuroradiology Research Core for assistance with patient recruitment and scanning.  ... 
doi:10.1101/2022.03.11.22272272 fatcat:cgibdbeqrjhvfgrq5cwocz5rny

Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients

Kunio Nakamura, Elizabeth Fisher
2009 NeuroImage  
Measurement of GM volumes is a particularly useful method to estimate the total extent of GM tissue damage because it can be done with conventional magnetic resonance images (MRI).  ...  Multiple sclerosis (MS) affects both white matter and gray matter (GM).  ...  The authors would like to thank Patricia Jagodnik for the help with image data management and Smitha Thomas for evaluation of gray matter segmentation results.  ... 
doi:10.1016/j.neuroimage.2008.09.059 pmid:19007895 pmcid:PMC3001325 fatcat:6gcxdoashbcclkbps6upsi2bii

Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI

Ying Wu, Simon K. Warfield, I. Leng Tan, William M. Wells, Dominik S. Meier, Ronald A. van Schijndel, Frederik Barkhof, Charles R.G. Guttmann
2006 NeuroImage  
Conclusion: 3ch-TDS + is a promising method for automated segmentation of MS lesion subtypes. D  ...  The 3ch-TDS + also identified the three lesion subtypes with high specificity (98.7 -99.9%) and accuracy (98.5 -99.9%). Sensitivity of 3ch-TDS + for T2 lesions was 16% higher than with 2ch-TDS + .  ...  This work was supported in parts by a grant from the U.S.  ... 
doi:10.1016/j.neuroimage.2006.04.211 pmid:16797188 fatcat:hbbtiadvwjawreq2aroojfjbxm

Automatic segmentation of White Matter Hyperintensities: validation and comparison with state-of-the-art methods on both Multiple Sclerosis and elderly subjects

Philippe Tran, Urielle Thoprakarn, Emmanuelle Gourieux, Clarisse Longo dos Santos, Enrica Cavedo, Nicolas Guizard, François Cotton, Pierre Krolak-Salmon, Christine Delmaire, Damien Heidelberg, Nadya Pyatigorskaya, Sébastian Ströer (+3 others)
2022 NeuroImage: Clinical  
Evaluation and comparison results suggest that WHASA-3D is a reliable and easy-to-use method for the automated segmentation of white matter hyperintensities, for both MS lesions and age-related WMH.  ...  Different types of white matter hyperintensities (WMH) can be observed through MRI in the brain and spinal cord, especially Multiple Sclerosis (MS) lesions for patients suffering from MS and age-related  ...  Different types of white matter hyperintensities (WMH) can be observed through MRI in the brain and spinal cord, especially Multiple Sclerosis (MS) lesions for patients suffering from MS and age-related  ... 
doi:10.1016/j.nicl.2022.102940 pmid:35051744 pmcid:PMC8896108 fatcat:tcjpnabttbhvvpwgmnacb36chy

Post-processing of structural MRI for individualized diagnostics

Pascal Martin, Benjamin Bender, Niels K Focke
2015 Quantitative Imaging in Medicine and Surgery  
Currently, a relevant proportion of all histopathologically proven focal cortical dysplasia (FCD) escape visual detection; this shows the need for additional improvements in analyzing MRI data.  ...  A positive MRI is still the strongest prognostic factor for postoperative freedom of seizures.  ...  Comparison of the different post-processing methods Only a few studies apply more than one post-processing method to the same cohort of patients enabling direct comparisons.  ... 
doi:10.3978/j.issn.2223-4292.2015.01.10 pmid:25853079 pmcid:PMC4379317 fatcat:jdbw3hbxsffyloxur7xw4wir6m
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