OBJECTIVE To evaluate the fractional anisotropy (FA) values of the multiple sclerosis (MS) plaques and normal-appearing cervical spinal cord (NASC) by diffusion tensor MRI imaging (DTI). METHOD Forty-one patients with relapsing-remising MS and 37 controls were evaluated. All MRI exams were performed using a conventional protocol, as well as diffusion tensor MR imaging. Regions of interest wer...

OBJECTIVE To investigate the magnetic resonance imaging (MRI) feature of multiple cerebral sclerosis (MS) for better understanding and diagnosis of this disease. METHODS The MRI data of 32 patients with MS were reviewed. Conventional scanning with T1WI, T2WI, Flair sequence was performed, and 26 patients underwent Gd-DTPA enhanced scanning. The MS plaques were analyzed for their locations, si...

A new algorithm is presented for the automatic segmentation of Multiple Sclerosis (MS) lesions in 3D MR images. It builds on the discriminative random decision forest framework to provide a voxel-wise probabilistic classification of the volume. Our method uses multi-channel MIR intensities (T1, T2, Flair), spatial prior and long-range comparisons with 3D regions to discriminate lesions. A symme...

BACKGROUND Lesions with different extents of myelin pathology are found at autopsy in multiple sclerosis (MS), but the differences are not discernible in magnetic resonance imaging (MRI). OBJECTIVE To determine whether analysis of the local spectrum in MRI is sensitive to lesion differences in myelin integrity. METHODS We imaged fresh brain slices from 21 MS patients using 1.5T scanners. Wh...

multiple sclerosis (ms) is a complex disease which is correlated with increasing inflammatory factors, demyelination and axonal loss. in this auto-immune disease, neuroinflammation is mediated by different types of t cells with macrophage/microglial activation and b cells involvement that interact in a collaborative manner. focal inflammation is the main cause for the onset of relapses and coul...

Quantitative analysis of MR images is becoming increasingly important as a surrogate marker in clinical trials in multiple sclerosis (MS). This paper describes a fully automated model-based method for segmentation of MS lesions from multi-channel MR images. The method simultaneously corrects for MR eld inhomogeneities, estimates tissue class distribution parameters and classiies the image voxel...

Remyelination in multiple sclerosis (MS) occurs spontaneously and extensively. The underlying mechanisms, however, are only partly understood. Findings in experimental animal settings suggest that inflammation promotes remyelination and repair. Here, we characterized the chemokine receptor expression profiles of macrophages/microglia in early remyelinating and completely remyelinated lesions co...

INTRODUCTION: It has been shown that iron content measuring [1,2] and susceptibility weighted imaging (SWI) [3,4] are sensitive to the characteristics of multiple sclerosis (MS) lesions, in particular iron content. Based on the observation that SWI can detect lesions not apparent on conventional MS lesion screening protocols, it has been suggested that there may be additional clinical utility i...

We performed voxel-guided morphometry (VGM) investigating the mechanisms of brain atrophy in multiple sclerosis (MS) related to focal lesions. VGM maps detect regional brain changes when comparing 2 time points on high resolution T1-weighted (T1w) magnetic resonace imaging (MRI). Two T1w MR datasets from 92 relapsing-remitting MS patients obtained 12 months apart were analysed with VGM. New les...

background and objective: magnetic resonance imaging (mri) is the most sensitive technique to detect multiple sclerosis (ms) plaques in central nervous system. in some cases, the patients who were suspected to ms, whereas mri images are normal, but whether patients don’t have ms plaques or mri images are not enough optimized enough in order to show ms plaques? the aim of the current study is ev...