Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors

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We propose and demonstrate an inference algorithm for the automatic segmentation of cerebrovascular pathologies in clinical MR images of the brain. Identifying and differentiating pathologies is important for understanding the underlying mechanisms and clinical outcomes of cerebral ischemia. Manual...

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Bibliographic Details
Main Authors: Dalca, Adrian Vasile, Sridharan, Ramesh, Cloonan, Lisa, Fitzpatrick, Kaitlin M., Kanakis, Allison, Furie, Karen L., Rosand, Jonathan, Wu, Ona, Sabuncu, Mert, Rost, Natalia S., Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag 2015
Online Access:http://hdl.handle.net/1721.1/100234
https://orcid.org/0000-0002-8422-0136
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/100234
https://orcid.org/0000-0002-8422-0136
https://orcid.org/0000-0003-2516-731X

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