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Quantitative follow-up of patients with multiple sclerosis using MRI: Reproducibility

Charles R.G. Guttmann, Ron Kikinis, Mark C. Anderson, Marianna Jakab, Simon K. Warfield, Ron J. Killiany, Howard L. Weiner, Ferenc A. Jolesz
1999 Journal of Magnetic Resonance Imaging  
The reproducibility of an automated method for estimating the volume of white matter abnormalities on brain magnetic resonance (MR) images of multiple sclerosis (MS) patients was evaluated.  ...  Reson. Imaging 1999; 9:509-518. A COMPREHENSIVE METHOD for measuring lesion volumes on serial brain MRI studies of multiple sclerosis (MS) patients is presented in this same issue (1).  ...  Kenneth Jones for critical review of an early version of this manuscript and Ms. Sally Edwards for extensive editorial comments in the final redaction phase.  ... 
doi:10.1002/(sici)1522-2586(199904)9:4<509::aid-jmri2>3.0.co;2-s pmid:10232508 fatcat:v27wzsz3fzhptoegfy4rkbhvfm

Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance

D. H. Miller
2002 Brain  
disability status score; FLAIR =¯uid-attenuated inversion recovery; IVMP = intravenous methylprednisolone; MR = magnetic resonance; MSFC scale = Multiple Sclerosis Functional Composite scale; NAA = N-acetyl  ...  Abbreviations: BFV = brain fraction volume; BICCR = brain intracranial capacity ratio; BPF = brain parenchymal fraction; CIS = clinically isolated syndromes; COV = coef®cient of variance; EDSS = expanded  ...  Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans Med Imaging 1999a; 18: 737±52.Pham DL, Prince JL.  ... 
doi:10.1093/brain/awf177 pmid:12135961 fatcat:zxyfwfxaizhira3tzf25x4ef6y

Improved cerebellar tissue classification on magnetic resonance images of brain

Sushmita Datta, Guozhi Tao, Renjie He, Jerry S. Wolinsky, Ponnada A. Narayana
2009 Journal of Magnetic Resonance Imaging  
Purpose-To develop and implement a method for improved cerebellar tissue classification on the magnetic resonance images of brain by automatically isolating the cerebellum prior to segmentation.  ...  The proposed method for tissue classification on real magnetic resonance (MR) brain images was evaluated subjectively by two experts.  ...  But, lesions such as those seen in multiple sclerosis (MS) and other pathologies are not clearly visualized on T1 weighted images.  ... 
doi:10.1002/jmri.21734 pmid:19388122 pmcid:PMC2678241 fatcat:kri4cgbrebebhmhyf6xqjmtylq

Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI

B. Johnston, M.S. Atkins, B. Mackiewich, M. Anderson
1996 IEEE Transactions on Medical Imaging  
However, there are still problems with automatically or semi-automatically segmenting thick magnetic resonance (MR) slices, particularly when trying to segment the small lesions present in MR images of  ...  Abstruct-To segment brain tissues in magnetic resonance images of the brain, we have implemented a stochastic relaxation method which utilizes partial volume analysis for every brain voxel, and operates  ...  Paty, A. Riddehough, K. Cover and B. Rhodes of the University of British Columbia MSNRI Group for supplying the MFU data and the manually drawn lesions on which the algorithm was tested.  ... 
doi:10.1109/42.491417 pmid:18215898 fatcat:42ljwonkwbdbfdblg7emqhj6em

Advances in spinal cord imaging in multiple sclerosis

Marcello Moccia, Serena Ruggieri, Antonio Ianniello, Ahmed Toosy, Carlo Pozzilli, Olga Ciccarelli
2019 Therapeutic Advances in Neurological Disorders  
A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI).  ...  from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps.  ...  MRI, magnetic resonance imaging; MS, multiple sclerosis; NMO, neuromyelitis optica; NMOSD, neuromyelitis optica spectrum disorder. or fast dual-echo spin-echo sequences (PD and T2-weighted, either in combination  ... 
doi:10.1177/1756286419840593 pmid:31040881 pmcid:PMC6477770 fatcat:y7t62qvf3fd47c5q76kvr47csm

Fractional Segmentation of White Matter [chapter]

Simon K. Warfield, Carl-Fredrik Westin, Charles R. G. Guttmann, Marilyn Albert, Ferenc A. Jolesz, Ron Kikinis
1999 Lecture Notes in Computer Science  
We applied this automated image segmentation method to over 996 MRI scans of subjects affected by multiple sclerosis, 72 normal aging subjects and 29 scans of subjects with Alzheimer's disease.  ...  Conventional spin echo (CSE) magnetic resonance imaging (MRI) is sensitive to these white matter changes and has frequently been applied to their study.  ...  Acknowledgements This investigation was supported (in part) by a grant from the National Multiple Sclerosis Society (SW) and by NIH grants P41 RR13218-01, R01 RR11747-01A, P01 CA67165-03 and P01 AG04953  ... 
doi:10.1007/10704282_7 fatcat:xqvv2wnoinhkjgfoilylrtkknm

Segmentation and quantification of black holes in multiple sclerosis

Sushmita Datta, Balasrinivasa Rao Sajja, Renjie He, Jerry S. Wolinsky, Rakesh K. Gupta, Ponnada A. Narayana
2006 NeuroImage  
A technique that involves minimal operator intervention was developed and implemented for identification and quantification of black holes on T1-weighted magnetic resonance images (T1 images) in multiple  ...  Enhancing lesion voxels on postcontrast images were automatically identified and eliminated from being included in the black hole volume.  ...  Acknowledgments This work is supported by the National Institutes of Health Grant EB002095 and S10 RR19186 to PAN.  ... 
doi:10.1016/j.neuroimage.2005.07.042 pmid:16126416 pmcid:PMC1808226 fatcat:q5s46vmdg5hzhhfxpegryu73ze

Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease

François De Guio, Eric Jouvent, Geert Jan Biessels, Sandra E Black, Carol Brayne, Christopher Chen, Charlotte Cordonnier, Frank-Eric De Leeuw, Martin Dichgans, Fergus Doubal, Marco Duering, Carole Dufouil (+29 others)
2016 Journal of Cerebral Blood Flow and Metabolism  
Several magnetic resonance imaging (MRI) markers have therefore emerged, providing new information on the diagnosis, progression and mechanisms of SVD.  ...  Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease..  ...  The authors declare no conflict of interest. Supplementary material for this paper can be found at http://jcbfm.sagepub.com/content/by/supplemental-data  ... 
doi:10.1177/0271678x16647396 pmid:27170700 pmcid:PMC4976752 fatcat:62yvvbsgorgnbnlgv6v3w3j3bu

In vivo assessment of the brain and cervical cord pathology of patients with primary progressive multiple sclerosis

M. Rovaris
2001 Brain  
Abbreviations: EDSS ϭ Expanded Disability Status Scale; fast-STIR ϭ fast short-tau inversion recovery; FOV ϭ field of view; GE ϭ gradient echo; LV ϭ lesion volume; MTI ϭ magnetization transfer imaging;  ...  MTR ϭ magnetization transfer ratio; PD ϭ proton density; PP ϭ primary progressive; RR ϭ relapsing-remitting; SP ϭ secondary progressive; SE ϭ spin echo; TE ϭ echo time; TI ϭ inversion time; TR ϭ repetition  ...  This study was in part supported by a grant from 'Fondazione Italiana Sclerosi Multipla' (FISM; contract 2000/R/37).  ... 
doi:10.1093/brain/124.12.2540 pmid:11701606 fatcat:77x6d2422zeeph3xo2r3oejj5a

MR Image Postprocessing for Multiple Sclerosis Research

Mark A. Horsfield
2008 Neuroimaging clinics of North America  
Computerized image analysis is becoming more routine in multiple sclerosis research.  ...  These tasks encompass uniformity (bias) correction; registration; segmentation; image algebra and fitting; diffusion tensor imaging and tractography; perfusion assessment; and 3-D visualization.  ...  For manual analysis (such as counting the numbers of lesions), semi-automated analysis (semi-automatically outlining lesions ( 26 )), or reviewing the output of fully-automated methods (75) , this sort  ... 
doi:10.1016/j.nic.2008.06.006 pmid:19068406 fatcat:juncvv233naufd47wghnlcqgsy

Brain tissue sodium concentration in multiple sclerosis: a sodium imaging study at 3 tesla

M. Inglese, G. Madelin, N. Oesingmann, J. S. Babb, W. Wu, B. Stoeckel, J. Herbert, G. Johnson
2010 Brain  
Using a three-dimensional radial gradient-echo sequence with short echo time, we performed sodium magnetic resonance imaging at 3 T in 17 patients with relapsing-remitting multiple sclerosis and in 13  ...  This study shows the feasibility of using in vivo sodium magnetic resonance imaging at 3 T in patients with multiple sclerosis.  ...  Funding This study was supported in part by the US National Institute of Health (grant number RO1 NS051623).  ... 
doi:10.1093/brain/awp334 pmid:20110245 pmcid:PMC2842511 fatcat:es7lxkkkhbapvontev6mk2ycz4

Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis

Josefina Maranzano, Mahsa Dadar, Maryna Zhernovaia, Douglas L. Arnold, D. Louis Collins, Sridar Narayanan
2020 NeuroImage  
Previous histopathology and MRI studies have addressed the differences between focal white matter lesions (FWML) and diffusely abnormal white matter (DAWM) in multiple sclerosis (MS).  ...  The separation of FWML and DAWM on MRI scans of MS patients using automated intensity thresholds on T2w images is feasible.  ...  These focal WM lesions (FWML) are relatively straightforward to detect and quantify on magnetic resonance imaging (MRI), where they appear as areas of high signal intensity on T2 weighted (T2w) and fluid-attenuated  ... 
doi:10.1016/j.neuroimage.2020.116690 pmid:32119987 fatcat:swwlyzqgynd4ff7ovvew5ggbdi

Segmentation of neuroanatomy in magnetic resonance images

Andrew Simmons, Simon R. Arridge, G. J. Barker, Paul S. Tofts, Murray H. Loew
1992 Medical Imaging VI: Image Processing  
All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is d e p e n d e n t upon the quality of the copy subm itted.  ...  In the unlikely e v e n t that the a u thor did not send a c o m p le te m anuscript and there are missing pages, these will be noted.  ...  The segmentation of lesions is a further important area, for which multiple sclerosis lesions have been chosen as a particular example.  ... 
doi:10.1117/12.59406 fatcat:rbchl46uffcj5cysrho2pr2ewy

A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone

Jukka Hirvasniemi, Stefan Klein, Sita Bierma-Zeinstra, Meike W. Vernooij, Dieuwke Schiphof, Edwin H. G. Oei
2021 European Radiology  
Objectives Our aim was to assess the ability of semi-automatically extracted magnetic resonance imaging (MRI)–based radiomic features from tibial subchondral bone to distinguish between knees without and  ...  A fast imaging employing steady-state acquisition sequence was used for the quantitative bone analyses. Tibial bone was segmented using a method that combines multi-atlas and appearance models.  ...  Acknowledgements The authors would like to thank all the participants and staff of the Rotterdam Study.  ... 
doi:10.1007/s00330-021-07951-5 pmid:33884470 pmcid:PMC8523397 fatcat:qfu5xcprf5fvnjqgwsdl6tohg4

Three-dimensional analysis of the geometry of individual multiple sclerosis lesions: Detection of shape changes over time using spherical harmonics

Daniel Goldberg-Zimring, Anat Achiron, Charles R.G. Guttmann, Haim Azhari
2003 Journal of Magnetic Resonance Imaging  
Purpose: To suggest a quantitative method for assessing the temporal changes in the geometry of individual multiple sclerosis (MS) lesions in follow-up studies of MS patients.  ...  Materials and Methods: Computer simulated and in vivo magnetic resonance (MR) imaged MS lesions were studied.  ...  Roshni Patel for technical assistance, and Prof. Jacob Rubinstein, Dr. Dominik Meier, and Oleg Michaelovich for their useful advice.  ... 
doi:10.1002/jmri.10365 pmid:12938123 fatcat:kx55dvcjmna6dnbvgct3m72gzu
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