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dc.contributor.authorEgger, Jan
dc.contributor.authorKapur, Tina
dc.contributor.authorDukatz, Thomas
dc.contributor.authorKolodziej, Malgorzata
dc.contributor.authorZukić, Dženan
dc.contributor.authorFreisleben, Bernd
dc.contributor.authorNimsky, Christopher
dc.date.accessioned2012-04-26T17:17:53Z
dc.date.issued2012
dc.identifier.citationEgger, Jan, Tina Kapur, Thomas Dukatz, Malgorzata Kolodziej, Dženan Zukić, Bernd Freisleben, and Christopher Nimsky. 2012. Square-Cut: A segmentation algorithm on the basis of a rectangle shape. PLoS ONE 7(2): e31064.en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:8623554
dc.description.abstractWe present a rectangle-based segmentation algorithm that sets up a graph and performs a graph cut to separate an object from the background. However, graph-based algorithms distribute the graph's nodes uniformly and equidistantly on the image. Then, a smoothness term is added to force the cut to prefer a particular shape. This strategy does not allow the cut to prefer a certain structure, especially when areas of the object are indistinguishable from the background. We solve this problem by referring to a rectangle shape of the object when sampling the graph nodes, i.e., the nodes are distributed non-uniformly and non-equidistantly on the image. This strategy can be useful, when areas of the object are indistinguishable from the background. For evaluation, we focus on vertebrae images from Magnetic Resonance Imaging (MRI) datasets to support the time consuming manual slice-by-slice segmentation performed by physicians. The ground truth of the vertebrae boundaries were manually extracted by two clinical experts (neurological surgeons) with several years of experience in spine surgery and afterwards compared with the automatic segmentation results of the proposed scheme yielding an average Dice Similarity Coefficient (DSC) of 90.97±2.2%.en_US
dc.language.isoen_USen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofdoi:10.1371/journal.pone.0031064en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283589/pdf/en_US
dash.licenseLAA
dc.subjectbiologyen_US
dc.subjectanatomy and physiologyen_US
dc.subjectmusculoskeletal systemen_US
dc.subjectcomputer scienceen_US
dc.subjectalgorithmsen_US
dc.subjectcomputer applicationsen_US
dc.subjectcomputing methodsen_US
dc.subjectmathematicsen_US
dc.subjectmedicineen_US
dc.subjectradiologyen_US
dc.subjectdiagnostic radiologyen_US
dc.subjectsurgeryen_US
dc.titleSquare-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shapeen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalPLoS ONEen_US
dash.depositing.authorKapur, Tina
dc.date.available2012-04-26T17:17:53Z
dc.identifier.doi10.1371/journal.pone.0031064*
dash.contributor.affiliatedEgger, Jan
dash.contributor.affiliatedKapur, Tina


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