Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image subtraction

Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image subtraction

Background: The detection and quantification of changes in white matter lesions in the brain is important to monitor treatment effects in patients with multiple sclerosis (MS). Existing automatic tools predominantly require FLAIR images as input which are not always available, or only focus on new/e...

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Bibliographic Details
Main Authors: Rozemarijn M. Mattiesing, Serena Stel, Alysha S. Mangroe, Iman Brouwer, Adriaan Versteeg, Ronald A. van Schijndel, Bernard M.J. Uitdehaag, Frederik Barkhof, Hugo Vrenken, Joost P.A. Kuijer
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Neuroimage: Reports
Subjects:
Image subtraction
Magnetic resonance imaging
Semi-automated segmentation
White matter lesions
Lesion volume changes
Multiple sclerosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2666956023000399

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http://www.sciencedirect.com/science/article/pii/S2666956023000399

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