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

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

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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Main Authors: Dalca, Adrian Vasile (Contributor), Sridharan, Ramesh (Contributor), Cloonan, Lisa (Author), Fitzpatrick, Kaitlin M. (Author), Kanakis, Allison (Author), Furie, Karen L. (Author), Rosand, Jonathan (Author), Wu, Ona (Author), Sabuncu, Mert (Author), Rost, Natalia S. (Author), Golland, Polina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer-Verlag, 2015-12-14T03:28:40Z.
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