Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients
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[1] A J Thompson,et al. Progressive grey matter atrophy in clinically early relapsing-remitting multiple sclerosis , 2003, Multiple sclerosis.
[2] S Vinitski,et al. Optimization of tissue segmentation of brain MR images based on multispectral 3D feature maps. , 1999, Magnetic resonance imaging.
[3] Alan C. Evans,et al. A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.
[4] R. He,et al. Unified Approach for Multiple Sclerosis Lesion Segmentation on Brain MRI , 2006, Annals of Biomedical Engineering.
[5] James C. Gee,et al. Validation of brain segmentation and tissue classification algorithm for T1-weighted MR images , 2001, SPIE Medical Imaging.
[6] T. Jernigan,et al. Progressive cerebral volume loss in human immunodeficiency virus infection: a longitudinal volumetric magnetic resonance imaging study. HIV Neurobehavioral Research Center Group. , 1998, Archives of neurology.
[7] Benoit M. Dawant,et al. Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.
[8] R. Leahy,et al. Magnetic Resonance Image Tissue Classification Using a Partial Volume Model , 2001, NeuroImage.
[9] H. Donald Gage,et al. Statistical models of partial volume effect , 1995, IEEE Trans. Image Process..
[10] Tianzi Jiang,et al. Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images , 2003, NeuroImage.
[11] Anders H. Andersen,et al. Automated segmentation of multispectral brain MR images , 2002, Journal of Neuroscience Methods.
[12] A. R. Ferreira da Silva. A Dirichlet process mixture model for brain MRI tissue classification. , 2007, Medical image analysis.
[13] D. Louis Collins,et al. Relating neocortical pathology to disability progression in multiple sclerosis using MRI , 2004, NeuroImage.
[14] Rohit Bakshi,et al. Gray matter involvement in multiple sclerosis , 2007, Neurology.
[15] Aly A. Farag,et al. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data , 2002, IEEE Transactions on Medical Imaging.
[16] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[17] Koenraad Van Leemput,et al. Automated model-based tissue classification of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[18] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .
[19] A J Thompson,et al. Gray and white matter volume changes in early RRMS , 2005, Neurology.
[20] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[22] P. Narayana,et al. Improved Identification of Intracortical Lesions in Multiple Sclerosis with Phase-Sensitive Inversion Recovery in Combination with Fast Double Inversion Recovery MR Imaging , 2007, American Journal of Neuroradiology.
[23] W. Press,et al. Numerical Recipes in C++: The Art of Scientific Computing (2nd edn)1 Numerical Recipes Example Book (C++) (2nd edn)2 Numerical Recipes Multi-Language Code CD ROM with LINUX or UNIX Single-Screen License Revised Version3 , 2003 .
[24] Jerry L. Prince,et al. Adaptive fuzzy segmentation of magnetic resonance images , 1999, IEEE Transactions on Medical Imaging.
[25] Baba C. Vemuri,et al. An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI , 2002, ECCV.
[26] 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.
[27] R. Bakshi,et al. Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions. , 2001, Archives of neurology.
[28] D. Louis Collins,et al. Design and construction of a realistic digital brain phantom , 1998, IEEE Transactions on Medical Imaging.
[29] Alan J Thompson,et al. The reproducibility and sensitivity of brain tissue volume measurements derived from an SPM‐based segmentation methodology , 2002, Journal of magnetic resonance imaging : JMRI.
[30] David Metcalf,et al. A Digital Brain Atlas for Surgical Planning, Model-Driven Segmentation, and Teaching , 1996, IEEE Trans. Vis. Comput. Graph..
[31] L G Nyúl,et al. Relapsing-remitting Multiple Sclerosis: Fractional Volumetric Analysis of Gray Matter and White Matter , 2000 .
[32] Hans Lassmann,et al. Cortical lesions and brain atrophy in MS , 2005, Journal of the Neurological Sciences.
[33] Robert T. Schultz,et al. Segmentation and Measurement of the Cortex from 3D MR Images , 1998, MICCAI.
[34] Rohit Bakshi,et al. The relationship between whole brain volume and disability in multiple sclerosis: A comparison of normalized gray vs. white matter with misclassification correction , 2005, NeuroImage.
[35] M Riva,et al. In vivo detection of cortical plaques by MR imaging in patients with multiple sclerosis. , 2006, AJNR. American journal of neuroradiology.
[36] A. Antoniadis,et al. Segmentation of magnetic resonance brain images through discriminant analysis , 2003, Journal of Neuroscience Methods.
[37] B. Trapp,et al. Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions , 2001, Annals of neurology.
[38] Jerry L. Prince,et al. An active contour model for mapping the cortex , 1995, IEEE Trans. Medical Imaging.
[39] P. M. Matthews,et al. Evidence of early cortical atrophy in MS , 2003, Neurology.
[40] R. Kahn,et al. Automated Separation of Gray and White Matter from MR Images of the Human Brain , 2001, NeuroImage.
[41] Max A. Viergever,et al. Mutual-information-based registration of medical images: a survey , 2003, IEEE Transactions on Medical Imaging.
[42] Elizabeth Fisher,et al. Knowledge-based 3D segmentation of the brain in MR images for quantitative multiple sclerosis lesion tracking , 1997, Medical Imaging.
[43] Alan J. Thompson,et al. Grey and white matter atrophy in early clinical stages of primary progressive multiple sclerosis , 2004, NeuroImage.
[44] E T Bullmore,et al. A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images. , 1999, Magnetic resonance imaging.
[45] Jing Bai,et al. Atlas-Based Fuzzy Connectedness Segmentation and Intensity Nonuniformity Correction Applied to Brain MRI , 2007, IEEE Transactions on Biomedical Engineering.
[46] Frederik Barkhof,et al. Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging. , 2005, Radiology.
[47] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[48] R. Kahn,et al. Volume changes in gray matter in patients with schizophrenia. , 2002, The American journal of psychiatry.
[49] Gwenn S. Smith,et al. Alzheimer disease: measuring loss of cerebral gray matter with MR imaging. , 1991, Radiology.
[50] Jerry L. Prince,et al. Reconstruction of the human cerebral cortex from magnetic resonance images , 1999, IEEE Transactions on Medical Imaging.