dc.contributor.author | Dalca, Adrian Vasile | |
dc.contributor.author | Sridharan, Ramesh | |
dc.contributor.author | Cloonan, Lisa | |
dc.contributor.author | Fitzpatrick, Kaitlin M. | |
dc.contributor.author | Kanakis, Allison | |
dc.contributor.author | Furie, Karen L. | |
dc.contributor.author | Rosand, Jonathan | |
dc.contributor.author | Wu, Ona | |
dc.contributor.author | Sabuncu, Mert | |
dc.contributor.author | Rost, Natalia S. | |
dc.contributor.author | Golland, Polina | |
dc.date.accessioned | 2020-08-17T21:19:51Z | |
dc.date.available | 2020-08-17T21:19:51Z | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-09 | |
dc.identifier.isbn | 9783319104690 | |
dc.identifier.isbn | 9783319104706 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/126637 | |
dc.description.abstract | 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 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.sponsorship | NIH (Grants 1K25EB013649-01, NAC-P41EB015902, U54-EB005149, NS082285, K23NS064052 and U01NS069208) | en_US |
dc.language.iso | en | |
dc.publisher | Springer International Publishing | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/978-3-319-10470-6_96 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | PMC | en_US |
dc.title | Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors | en_US |
dc.type | Book | en_US |
dc.identifier.citation | Dalca, 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 Publishing | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.relation.journal | International Conference on Medical Image Computing and Computer-Assisted Intervention | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-05-29T17:47:45Z | |
dspace.date.submission | 2019-05-29T17:47:46Z | |
mit.metadata.status | Complete | |