Automated segmentation and measurement of global white matter lesion volume in patients with multiple sclerosis

B Alfano, A Brunetti, M Larobina… - Journal of Magnetic …, 2000 - Wiley Online Library
Journal of Magnetic Resonance Imaging, 2000Wiley Online Library
A fully automated magnetic resonance (MR) segmentation method for identification and
volume measurement of demyelinated white matter has been developed. Spin‐echo MR
brain scans were performed in 38 patients with multiple sclerosis (MS) and in 46 healthy
subjects. Segmentation of normal tissues and white matter lesions (WML) was obtained,
based on their relaxation rates and proton density maps. For WML identification, additional
criteria included three‐dimensional (3D) lesion shape and surrounding tissue composition …
Abstract
A fully automated magnetic resonance (MR) segmentation method for identification and volume measurement of demyelinated white matter has been developed. Spin‐echo MR brain scans were performed in 38 patients with multiple sclerosis (MS) and in 46 healthy subjects. Segmentation of normal tissues and white matter lesions (WML) was obtained, based on their relaxation rates and proton density maps. For WML identification, additional criteria included three‐dimensional (3D) lesion shape and surrounding tissue composition. Segmented images were generated, and normal brain tissues and WML volumes were obtained. Sensitivity, specificity, and reproducibility of the method were calculated, using the WML identified by two neuroradiologists as the gold standard. The average volume of “abnormal” white matter in normal subjects (false positive) was 0.11 ml (range 0–0.59 ml). In MS patients the average WML volume was 31.0 ml (range 1.1–132.5 ml), with a sensitivity of 87.3%. In the reproducibility study, the mean SD of WML volumes was 2.9 ml. The procedure appears suitable for monitoring disease changes over time. J. Magn. Reson. Imaging 2000;12:799–807. © 2000 Wiley‐Liss, Inc.
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