Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52261
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dc.contributor.authorHoffmann, Kenneth R.en_US
dc.contributor.authorLan, Lien_US
dc.contributor.authorEsclarin, Julioen_US
dc.contributor.authorEsthappan, Jacquelineen_US
dc.contributor.authorSen, Anindyaen_US
dc.contributor.authorChua, Kok Geeen_US
dc.date.accessioned2018-11-25T18:48:31Z-
dc.date.available2018-11-25T18:48:31Z-
dc.date.issued1999en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10553/52261-
dc.description.abstractWe have developed methods for determining 3D vessel centerlines from biplane image sequences. For dynamic quantities, e.g., vessel motion or flow, the correspondence between points along calculated centerlines must be established. We have developed and compared two techniques for determination of correspondence and of vessel motion during the heart cycle. Clinical biplane image sequences of coronary vascular trees were acquired. After manual indication of vessel points in each image, vessels were tracked, bifurcation points were calculated, and vascular hierarchy was established automatically. The imaging geometry and the 3D vessel centerlines were calculated for each pair of biplane images from the image data alone. The motion vectors for all centerline points were calculated using corresponding points determined by two methods, either as points of nearest approach of the two centerlines or as having the same cumulative arclength from the vessel origin. Corresponding points calculated using the two methods agreed to within 0.3 cm on average. Calculated motion of vessels appeared to agree with motion visible in the images. Relative 3D positions and motion vectors can be calculated reliably with minimal user interaction.en_US
dc.languageengen_US
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.sourceProceedings of SPIE - The International Society for Optical Engineering [ISSN 0277-786X], v. 3660 , p. 335-342en_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.titleDetermination of 3D vessel motion from biplane cardiac sequencesen_US
dc.typeinfo:eu-repo/semantics/articlees
dc.typeArticlees
dc.identifier.doi10.1117/12.349603en_US
dc.identifier.scopus0032593674-
dc.contributor.authorscopusid7401912936-
dc.contributor.authorscopusid7005686765-
dc.contributor.authorscopusid7801474073-
dc.contributor.authorscopusid6603445218-
dc.contributor.authorscopusid7401592599-
dc.contributor.authorscopusid7202608320-
dc.identifier.eissn1996-756X-
dc.description.lastpage342-
dc.description.firstpage335-
dc.relation.volume3660-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.orcid0000-0003-1339-8700-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameEsclarín Monreal,Julio-
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