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dc.contributor.authorSchneider, Robert J.
dc.contributor.authorPerrin, Douglas P.
dc.contributor.authorVasilye, Nikolay V.
dc.contributor.authorMarx, Gerald R.
dc.contributor.authorNido, Pedro J. del
dc.contributor.authorHowe, Robert D.
dc.date.accessioned2012-03-30T20:20:29Z
dc.date.available2012-03-30T20:20:29Z
dc.date.issued2010-08
dc.date.submitted2010-04
dc.identifier.issn0278-0062
dc.identifier.issn1558-254X
dc.identifier.otherINSPEC Accession Number: 11512480
dc.identifier.urihttp://hdl.handle.net/1721.1/69906
dc.description.abstractThe shape of the mitral valve annulus is used in diagnostic and modeling applications, yet methods to accurately and reproducibly delineate the annulus are limited. This paper presents a mitral annulus segmentation algorithm designed for closed mitral valves which locates the annulus in three-dimensional ultrasound using only a single user-specified point near the center of the valve. The algorithm first constructs a surface at the location of the thin leaflets, and then locates the annulus by finding where the thin leaflet tissue meets the thicker heart wall. The algorithm iterates until convergence metrics are satisfied, resulting in an operator-independent mitral annulus segmentation. The accuracy of the algorithm was assessed from both a diagnostic and surgical standpoint by comparing the algorithm's results to delineations made by a group of experts on clinical ultrasound images of the mitral valve, and to delineations made by an expert with a surgical view of the mitral annulus on excised porcine hearts using an electromagnetically tracked pointer. In the former study, the algorithm was statistically indistinguishable from the best performing expert (p = 0.85 ) and had an average RMS difference of 1.81±0.78 mm to the expert average. In the latter, the average RMS difference between the algorithm's annulus and the electromagnetically tracked points across six hearts was 1.19±0.17 mm.en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Graduate Research Fellowship Programen_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant NIH 5 F32 HL084965-03)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant NIH RO1 HL073647-01)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/tmi.2010.2050595en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleMitral Annulus Segmentation From 3D Ultrasound Using Graph Cutsen_US
dc.typeArticleen_US
dc.identifier.citationSchneider, Robert J. et al. “Mitral Annulus Segmentation From 3D Ultrasound Using Graph Cuts.” IEEE Transactions on Medical Imaging 29.9 (2010): 1676–1687. Web. 30 Mar. 2012. © 2010 Institute of Electrical and Electronics Engineersen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.approverHowe, Robert D.
dc.contributor.mitauthorHowe, Robert D.
dc.relation.journalIEEE Transactions on Medical Imagingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsSchneider, Robert J.; Perrin, Douglas P.; Vasilyev, Nikolay V.; Marx, Gerald R.; del Nido, Pedro J.; Howe, Robert D.en
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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