spatial normalization and regional assessment of cord atrophy voxel based analysis of cervical cord 3d t1 weighted images

BACKGROUND AND PURPOSE: VBM is widely applied to characterize regional differences in brain volume among groups of subjects. The aim of this study was to develop and validate a method for voxelwise statistical analysis of cord volume and to test, with this method, the correlation between cord tissue loss and aging. MATERIALS AND METHODS: 3D T1-weighted scans of the spinal cord were acquired from 90 healthy subjects spanning several decades of life. Using an AS method, we outlined the cord surface and created output images reformatted with image planes perpendicular to the estimated cord centerline. Unfolded cervical cord images were coregistered into a common standard space, and smoothed cord binary masks, produced by using the cord outlines estimated by the AS approach, were used as input images for spatial statistics. RESULTS: High spatial correlation between normalized images was observed. Averaging of the normalized scans allowed the creation of a cervical cord template and of a standardized region-of-interest atlas. VBM analysis showed some significant associations between a decreased probability of cord tissue and aging. Results were robust across different smoothing levels, but the use of an anisotropic Gaussian kernel gave the optimal trade-off between spatial resolution and the requirements of the Gaussian random field theory. CONCLUSIONS: VBM analysis of the cervical cord was feasible and holds great promise for accurate localization of regional cord atrophy in several neurologic conditions

A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context

BACKGROUND AND PURPOSE: The automatic segmentation of MS lesions could reduce time required for image processing together with inter- and intraoperator variability for research and clinical trials. A multicenter validation of a proposed semiautomatic method for hyperintense MS lesion segmentation on dual-echo MR imaging is presented. MATERIALS AND METHODS: The classification technique used is based on a region-growing approach starting from manual lesion identification by an expert observer with a final segmentation-refinement step. The method was validated in a cohort of 52 patients with relapsing-remitting MS, with dual-echo images acquired in 6 different European centers. RESULTS: We found a mathematic expression that made the optimization of the method independent of the need for a training dataset. The automatic segmentation was in good agreement with the manual segmentation (dice similarity coefficient = 0.62 and root mean square error = 2 mL). Assessment of the segmentation errors showed no significant differences in algorithm performance between the different MR scanner manufacturers (P > .05). CONCLUSIONS: The method proved to be robust, and no center-specific training of the algorithm was required, offering the possibility for application in a clinical setting. Adoption of the method should lead to improved reliability and less operator time required for image analysis in research and clinical trials in MS

Nuclear Magnetic Resonance in petroleum engineering

SIGLEAvailable from British Library Document Supply Centre- DSC:D61114 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Installation of a radiator in a light aircraft

SIGLEAvailable from British Library Document Supply Centre- DSC:6015.42F(N--87-19391)(microfiche) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

MRI in multiple sclerosis: current status and future prospects

reserved10simixedBakshi, R; Thompson, Aj; Rocca, Ma; Pelletier, D; Dousset, V; Barkhof, F; Inglese, M; Guttmann, Cr; Horsfield, Ma; Filippi, M.Bakshi, R; Thompson, Aj; Rocca, Ma; Pelletier, D; Dousset, V; Barkhof, F; Inglese, MARIA MATILDE; Guttmann, Cr; Horsfield, Ma; Filippi, M

Intranetwork and internetwork functional connectivity abnormalities in pediatric multiple sclerosis

Active motor functional magnetic resonance imaging (fMRI) studies have shown that pediatric multiple sclerosis (MS) patients have a strictly lateralized pattern of activations and a preserved functional connectivity (FC) within the motor system when compared to age-matched healthy controls. However, it is still not clear whether a preserved FC in pediatric MS is present only in the motor system, or involves other relevant functional system. Resting-state (RS) fMRI is a valuable tool for an unbiased investigation of FC abnormalities of multiple networks. This study explored abnormalities of RS FC within and between large-scale neuronal networks from 44 pediatric MS patients and 27 controls and their correlation with clinical, neuropsychological, and conventional MRI measures. Compared to controls, pediatric MS patients had a decreased FC of several regions of the sensorimotor, secondary visual, default-mode (DMN), executive control, and bilateral working memory (WMN) networks. They also experienced an increased FC in the right medial frontal gyrus of the attention network, which was correlated with T2 lesion volume. Cognitively impaired patients had decreased RS FC of the right precuneus of the left WMN. An increased FC between the sensorimotor network and the DMN, and between the L WMN and the attention network as well as a decreased FC between L WMN and the DMN were also found. A distributed pattern of FC abnormalities within large-scale neuronal networks occurs in pediatric MS patients, contributes to their cognitive status, and is partially driven by focal white matter lesions. Internetwork connectivity is relatively preserved in these patients