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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of magnetic resonance imaging Jg. 32; H. 1; S. 223 - 228
Hauptverfasser:	Chard, Declan T., Jackson, Jonathan S., Miller, David H., Wheeler-Kingshott, Claudia A.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2010
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!