An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis

[1]  Jeffrey A. Cohen,et al.  Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria , 2011, Annals of neurology.

[2]  Ludwig Kappos,et al.  Spatiotemporal distribution pattern of white matter lesion volumes and their association with regional grey matter volume reductions in relapsing‐remitting multiple sclerosis , 2010, Human brain mapping.

[3]  Olivier Clatz,et al.  Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images , 2010, MICCAI.

[4]  L. Kappos,et al.  Black holes in multiple sclerosis: definition, evolution, and clinical correlations , 2009, Acta neurologica Scandinavica.

[5]  Eileen Luders,et al.  Why Sex Matters: Brain Size Independent Differences in Gray Matter Distributions between Men and Women , 2009, The Journal of Neuroscience.

[6]  D. Louis Collins,et al.  Multiple Sclerosis lesion segmentation using an automated multimodal Graph Cut , 2016 .

[7]  Massimo Filippi,et al.  Automatic Segmentation and Classification of Multiple Sclerosis in Multichannel MRI , 2009, IEEE Transactions on Biomedical Engineering.

[8]  Hayit Greenspan,et al.  Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution , 2009, Int. J. Biomed. Imaging.

[9]  R Bakshi,et al.  Normal Findings on Brain Fluid-Attenuated Inversion Recovery MR Images at 3T , 2009, American Journal of Neuroradiology.

[10]  F. Barkhof,et al.  High field MRI in the diagnosis of multiple sclerosis: high field–high yield? , 2009, Neuroradiology.

[11]  H. Weiner,et al.  The challenge of multiple sclerosis: How do we cure a chronic heterogeneous disease? , 2009, Annals of neurology.

[12]  Christian Confavreux,et al.  The clinical epidemiology of multiple sclerosis. , 2008, Neuroimaging clinics of North America.

[13]  R. Rudick,et al.  Gray matter atrophy in multiple sclerosis: A longitudinal study , 2008, Annals of neurology.

[14]  J. Hornegger,et al.  Fully automated segmentation of multiple sclerosis lesions in multispectral MRI , 2008, Pattern Recognition and Image Analysis.

[15]  Farzad Towhidkhah,et al.  Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and markov random field model , 2008, Comput. Biol. Medicine.

[16]  A. Thompson,et al.  Disability and T2 MRI lesions: a 20-year follow-up of patients with relapse onset of multiple sclerosis. , 2008, Brain : a journal of neurology.

[17]  Elias R Melhem,et al.  Detection of simulated multiple sclerosis lesions on T2-weighted and FLAIR images of the brain: observer performance. , 2006, Radiology.

[18]  Ying Wu,et al.  Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI , 2006, NeuroImage.

[19]  J A Frank,et al.  MRI T2 lesion burden in multiple sclerosis , 2006, Neurology.

[20]  Mike P. Wattjes,et al.  Higher sensitivity in the detection of inflammatory brain lesions in patients with clinically isolated syndromes suggestive of multiple sclerosis using high field MRI: an intraindividual comparison of 1.5 T with 3.0 T , 2006, European Radiology.

[21]  H. Schild,et al.  Imaging of inflammatory lesions at 3.0 Tesla in patients with clinically isolated syndromes suggestive of multiple sclerosis: a comparison of fluid-attenuated inversion recovery with T2 turbo spin-echo , 2006, European Radiology.

[22]  Pierre Hellier,et al.  STREM: A Robust Multidimensional Parametric Method to Segment MS Lesions in MRI , 2005, MICCAI.

[23]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[24]  Mark W. Woolrich,et al.  Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data , 2005, IEEE Transactions on Medical Imaging.

[25]  D. Paty,et al.  Interferon beta-1b in secondary progressive MS , 2004, Neurology.

[26]  Alan C. Evans,et al.  Fast and robust parameter estimation for statistical partial volume models in brain MRI , 2004, NeuroImage.

[27]  Koen L. Vincken,et al.  Probabilistic segmentation of white matter lesions in MR imaging , 2004, NeuroImage.

[28]  Neal Jeffries,et al.  Evolution of T1 black holes in patients with multiple sclerosis imaged monthly for 4 years. , 2003, Brain : a journal of neurology.

[29]  Joseph Ross Mitchell,et al.  Segmentation of multiple sclerosis lesions using support vector machines , 2003, SPIE Medical Imaging.

[30]  Gerhard Winkler,et al.  Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction , 2002 .

[31]  A J Thompson,et al.  Brain atrophy in clinically early relapsing-remitting multiple sclerosis. , 2002, Brain : a journal of neurology.

[32]  Koenraad Van Leemput,et al.  Automated segmentation of multiple sclerosis lesions by model outlier detection , 2001, IEEE Transactions on Medical Imaging.

[33]  R. Bakshi,et al.  Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions. , 2001, Archives of neurology.

[34]  J H Simon,et al.  Intramuscular interferon beta-1a therapy initiated during a first demyelinating event in multiple sclerosis. CHAMPS Study Group. , 2000, The New England journal of medicine.

[35]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[36]  Ludwig Kappos,et al.  Placebo-controlled multicentre randomised trial of interferon β-1b in treatment of secondary progressive multiple sclerosis , 1998, The Lancet.

[37]  G. Ebers,et al.  Randomised double-blind placebo-controlled study of interferon β-1a in relapsing/remitting multiple sclerosis , 1998, The Lancet.

[38]  Jagath C. Rajapakse,et al.  Statistical approach to segmentation of single-channel cerebral MR images , 1997, IEEE Transactions on Medical Imaging.

[39]  A. Thompson,et al.  Imaging of the spinal cord and brain in multiple sclerosis: a comparative study between fast flair and fast spin echo , 1997, Journal of Neurology.

[40]  C Becker,et al.  Quantitative assessment of MRI lesion load in multiple sclerosis. A comparison of conventional spin-echo with fast fluid-attenuated inversion recovery. , 1996, Brain : a journal of neurology.

[41]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[42]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .

[43]  Xiang Li,et al.  Mixture Segmentation of Multispectral MR Brain Images for Multiple Sclerosis , 2013 .

[44]  R. Bryan,et al.  Automated Bayesian segmentation of microvascular white-matter lesions in the ACCORD-MIND study. , 2008, Advances in medical sciences.

[45]  Guido Gerig,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II , 2005, MICCAI.

[46]  J. Uebersax Diversity of decision-making models and the measurement of interrater agreement. , 1987 .

[47]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[48]  Placebo-controlled multicentre randomised trial of interferon beta-1b in treatment of secondary progressive multiple sclerosis. European Study Group on interferon beta-1b in secondary progressive MS. , 1998, Lancet.

[49]  William M. Wells,et al.  Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 , 1998, Lecture Notes in Computer Science.

[50]  Randomised double-blind placebo-controlled study of interferon beta-1a in relapsing/remitting multiple sclerosis. PRISMS (Prevention of Relapses and Disability by Interferon beta-1a Subcutaneously in Multiple Sclerosis) Study Group. , 1998, Lancet.

[51]  Benoit M. Dawant,et al.  Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.

[52]  J. Bartko Measurement and reliability: statistical thinking considerations. , 1991, Schizophrenia bulletin.

[53]  Jan-Erik Roos,et al.  A mathematical introduction , 1986 .

[54]  J. M. Hammersley,et al.  Markov fields on finite graphs and lattices , 1971 .

[55]  W. L. Benedict,et al.  Multiple Sclerosis , 2007, Journal - Michigan State Medical Society.