Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes

Purpose: To develop an automated lesion‐filling technique (LEAP; LEsion Automated Preprocessing) that would reduce lesion‐associated brain tissue segmentation bias (which is known to affect automated brain gray [GM] and white matter [WM] tissue segmentations in people who have multiple sclerosis), a...

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Vydané v:	Journal of magnetic resonance imaging Ročník 32; číslo 1; s. 223 - 228
Hlavní autori:	Chard, Declan T., Jackson, Jonathan S., Miller, David H., Wheeler-Kingshott, Claudia A.M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2010
Predmet:	brain Brain - anatomy & histology Computer Simulation error correction Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods MRI multiple sclerosis Reference Values segmentation errors white matter lesions
ISSN:	1053-1807, 1522-2586, 1522-2586
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