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dc.contributor.authorWachinger, Christian
dc.contributor.authorSharp, Gregory C.
dc.contributor.authorGolland, Polina
dc.date.accessioned2014-04-17T13:57:28Z
dc.date.available2014-04-17T13:57:28Z
dc.date.issued2013-09
dc.identifier.isbn978-3-642-40759-8
dc.identifier.issn978-3-642-40760-4
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1721.1/86193
dc.description.abstractWe present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We introduce a contour-driven prior distribution over label maps to incorporate image features of the input scan into the label inference problem. The mean function of the Gaussian process posterior distribution yields the MAP estimate of the label map and is used in the subsequent voting. We demonstrate improved segmentation accuracy when our approach is combined with two different patch-based segmentation techniques. We focus on the segmentation of parotid glands in CT scans of patients with head and neck cancer, which is important for radiation therapy planning.en_US
dc.description.sponsorshipNational Alliance for Medical Image Computing (U.S.) (NIH NIBIB NAMIC U54-EB005149)en_US
dc.description.sponsorshipNeuroimaging Analysis Center (U.S.) (NIH NCRR NAC P41-RR13218)en_US
dc.description.sponsorshipNeuroimaging Analysis Center (U.S.) (NIH NIBIB NAC P41-EB-015902)en_US
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-40760-4_27en_US
dc.sourceWachinger
dc.titleCounter-Driven Regression for Label Inference in Atlas-Based Segmentationen_US
dc.typeArticleen_US
dc.identifier.citationWachinger, Christian, Gregory C. Sharp, and Polina Golland. “Contour-Driven Regression for Label Inference in Atlas-Based Segmentation.” Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. Ed. Kensaku Mori et al. Vol. 8151. Springer Berlin Heidelberg, 2013. 211–218. Lecture Notes in Computer Science.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorWachinger, Christianen_US
dc.contributor.mitauthorGolland, Polinaen_US
dc.relation.journalMedical Image Computing and Computer-Assisted Intervention – MICCAI 2013en_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
dspace.orderedauthorsWachinger, Christian; Sharp, Gregory C.; Golland, Polinaen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3652-1874
dc.identifier.orcidhttps://orcid.org/0000-0003-2516-731X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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