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dc.contributor.authorDalca, Adrian Vasile
dc.contributor.authorSridharan, Ramesh
dc.contributor.authorCloonan, Lisa
dc.contributor.authorFitzpatrick, Kaitlin M.
dc.contributor.authorKanakis, Allison
dc.contributor.authorFurie, Karen L.
dc.contributor.authorRosand, Jonathan
dc.contributor.authorWu, Ona
dc.contributor.authorSabuncu, Mert
dc.contributor.authorRost, Natalia S.
dc.contributor.authorGolland, Polina
dc.date.accessioned2020-08-17T21:19:51Z
dc.date.available2020-08-17T21:19:51Z
dc.date.issued2014
dc.date.submitted2014-09
dc.identifier.isbn9783319104690
dc.identifier.isbn9783319104706
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/1721.1/126637
dc.description.abstractWe 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 delineation of separate pathologies is infeasible in large studies of stroke that include thousands of patients. Unlike normal brain tissues and structures, the location and shape of the lesions vary across patients, presenting serious challenges for prior-driven segmentation. Our generative model captures spatial patterns and intensity properties associated with different cerebrovascular pathologies in stroke patients. We demonstrate the resulting segmentation algorithm on clinical images of a stroke patient cohort.en_US
dc.description.sponsorshipNIH (Grants 1K25EB013649-01, NAC-P41EB015902, U54-EB005149, NS082285, K23NS064052 and U01NS069208)en_US
dc.language.isoen
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-319-10470-6_96en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleSegmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priorsen_US
dc.typeBooken_US
dc.identifier.citationDalca, Adrian Vasile. et al. "Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors." International Conference on Medical Image Computing and Computer-Assisted Intervention, September 2014, Springer International Publishing, 2014. © 2014 Springer International Publishingen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalInternational Conference on Medical Image Computing and Computer-Assisted Interventionen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-05-29T17:47:45Z
dspace.date.submission2019-05-29T17:47:46Z
mit.metadata.statusComplete


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