Literature DB >> 11105017

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

B Alfano1, A Brunetti, M Larobina, M Quarantelli, E Tedeschi, A Ciarmiello, E M Covelli, M Salvatore.   

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. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 11105017     DOI: 10.1002/1522-2586(200012)12:6<799::aid-jmri2>3.0.co;2-#

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  24 in total

Review 1.  An artificial immune-activated neural network applied to brain 3D MRI segmentation.

Authors:  Akmal Younis; Mohamed Ibrahim; Mansur Kabuka; Nigel John
Journal:  J Digit Imaging       Date:  2007-12-11       Impact factor: 4.056

2.  Computer input devices: neutral party or source of significant error in manual lesion segmentation?

Authors:  James Y Chen; F Jacob Seagull; Paul Nagy; Paras Lakhani; Elias R Melhem; Eliot L Siegel; Nabile M Safdar
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

3.  Predictive factors of neutralizing antibodies development in relapsing-remitting multiple sclerosis patients on interferon Beta-1b therapy.

Authors:  R Lanzillo; G Orefice; A Prinster; G Ventrella; R Liuzzi; V Scarano; C Florio; G Vacca; A Brunetti; B Alfano; V Brescia Morra; V Bonavita
Journal:  Neurol Sci       Date:  2011-02-10       Impact factor: 3.307

4.  White Matter Segmentation Algorithm for DTI Images Based on Super-Pixel Full Convolutional Network.

Authors:  Yiping Mu; Qi Li; Yang Zhang
Journal:  J Med Syst       Date:  2019-08-12       Impact factor: 4.460

5.  Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment.

Authors:  Rosario Megna; Bruno Alfano; Roberta Lanzillo; Teresa Costabile; Marco Comerci; Giovanni Vacca; Antonio Carotenuto; Marcello Moccia; Giuseppe Servillo; Anna Prinster; Vincenzo Brescia Morra; Mario Quarantelli
Journal:  J Neurol       Date:  2018-11-29       Impact factor: 4.849

6.  Automated determination of brain parenchymal fraction in multiple sclerosis.

Authors:  M Vågberg; T Lindqvist; K Ambarki; J B M Warntjes; P Sundström; R Birgander; A Svenningsson
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-13       Impact factor: 3.825

7.  Standardized, reproducible, high resolution global measurements of T1 relaxation metrics in cases of multiple sclerosis.

Authors:  Radhika Srinivasan; Roland Henry; Daniel Pelletier; Sarah Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2003-01       Impact factor: 3.825

8.  Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine.

Authors:  Zhiqiang Lao; Dinggang Shen; Dengfeng Liu; Abbas F Jawad; Elias R Melhem; Lenore J Launer; R Nick Bryan; Christos Davatzikos
Journal:  Acad Radiol       Date:  2008-03       Impact factor: 3.173

9.  A voxel-based morphometry study of disease severity correlates in relapsing-- remitting multiple sclerosis.

Authors:  A Prinster; M Quarantelli; R Lanzillo; G Orefice; G Vacca; B Carotenuto; B Alfano; A Brunetti; V Brescia Morra; M Salvatore
Journal:  Mult Scler       Date:  2009-12-22       Impact factor: 6.312

10.  Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis.

Authors:  Y Duan; P G Hildenbrand; M P Sampat; D F Tate; I Csapo; B Moraal; R Bakshi; F Barkhof; D S Meier; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2008-02       Impact factor: 3.825

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