Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields

Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields

Robust and reliable stroke lesion segmentation is a crucial step toward employing lesion volume as an independent endpoint for randomized trials. The aim of this work was to develop and evaluate a novel method to segment sub-acute ischemic stroke lesions from fluid-attenuated inversion recovery (FLA...

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Bibliographic Details
Main Authors: Nagesh K. Subbanna, Deepthi Rajashekar, Bastian Cheng, Götz Thomalla, Jens Fiehler, Tal Arbel, Nils D. Forkert
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Neurology
Subjects:
magnetic resonance imaging
ischemic stroke
image segmentation
classification
brain lesion segmentation
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.00541/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2019.00541/full

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