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...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of magnetic resonance imaging Ročník 32; číslo 1; s. 223 - 228
Hlavní autoři:	Chard, Declan T., Jackson, Jonathan S., Miller, David H., Wheeler-Kingshott, Claudia A.M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2010
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!