Automated identification of brain tumours from single MR images based on segmentation with refined patient-specific priors

Automated identification of brain tumours from single MR images based on segmentation with refined patient-specific priors

Brain tumours can have different shapes or locations, making their identification very challenging. In functional MRI, it is not unusual that patients have only one anatomical image due to time and financial constraints. Here, we provide a modified automatic lesion identification (ALI) procedure whi...

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Bibliographic Details
Main Authors: Ana eSanjuán, Cathy J Price, Laura eMancini, Goulven eJosse, Alice eGrogan, Adam K Yamamoto, Sharon eGeva, Alex P Leff, Tarek A Yousry, Mohamed L Seghier
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-12-01
Series:Frontiers in Neuroscience
Subjects:
MRI
segmentation
spatial normalization
fuzzy clustering
Automated lesion identification
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00241/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00241/full

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