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dc.contributor.authorMoya-Albor, Ernesto
dc.contributor.authorBrieva, Jorge
dc.contributor.otherCampus Ciudad de Méxicoes
dc.coverage.spatialMéxico
dc.creatorERNESTO MOYA ALBOR;102463
dc.creatorJORGE EDUARDO BRIEVA RICO;121435
dc.date.accessioned2017-10-24T22:37:12Z
dc.date.available2017-10-24T22:37:12Z
dc.date.issued2017
dc.identifier.citationMoya-Albor, E., Mira, C., Brieva, J., Escalante-Ramirez, B. y Venegas, E. V. (2017). 3D optical flow estimation in cardiac CT images using the hermite transform. En: 12th International Symposium on Medical Information Processing and Analysis, 26 January 2017, (Proceedings SPIE, vol. 10160). Washington : SPIE. DOI: http://dx.doi.org/10.1117/12.2256777en
dc.identifier.isbn9781510607781
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.urihttps://hdl.handle.net/20.500.12552/811
dc.identifier.urihttp://dx.doi.org/10.1117/12.2256777
dc.description.abstractHeart diseases are one of the most important causes of death in the Western world. It is, then, important to implement algorithms to aid the specialist in analyzing the heart motion. We propose a new strategy to estimate the cardiac motion through a 3D optical flow differential technique that uses the Steered Hermite transform (SHT). SHT is a tool that performs a decomposition of the images in a base that model the visual patterns used by the human vision system (HSV) for processing the information. The 3D + t analysis allows to describe most of motions of the heart, for example, the twisting motion that takes place on every beat cycle and to identify abnormalities of the heart walls. Our proposal was tested on two phantoms and on two sequences of cardiac CT images corresponding to two different patients. We evaluate our method using a reconstruction schema, for this, the resulting 3D optical flow was applied over the volume at time t to obtain a estimated volume at time t + 1. We compared our 3D optical flow approach to the classical Horn and Shunk's 3D algorithm for different levels of noise. © 2017 SPIE.en
dc.language.isoeng
dc.publisherSPIEen
dc.publisherSociety of Photo-optical Instrumentation Engineersen
dc.relation.ispartofREPOSITORIO SCRIPTAes
dc.relation.ispartofOPENAIREes
dc.relation.ispartofseriesProceedings of SPIE;10160en
dc.rightsAcceso Cerradoes
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0
dc.rights.urihttps://v2.sherpa.ac.uk/id/publication/27454
dc.source12th International Symposium on Medical Information Processing and Analysis, 26 January 2017en
dc.subject3D sequencesen
dc.subjectCardiac CT imagingen
dc.subjectDifferential methoden
dc.subjectOptical flowen
dc.subjectSteered Hermite transformen
dc.subjectBioinformaticsen
dc.subjectHearten
dc.subjectOptical flowsen
dc.subjectCardiac CTen
dc.subjectCauses of deathen
dc.subjectDifferential methodsen
dc.subjectDifferential techniqueen
dc.subjectHermite transformsen
dc.subjectHuman vision systemsen
dc.subjectTwisting motionen
dc.subjectComputerized tomographyen
dc.subject.classificationINGENIERÍA Y TECNOLOGÍAes
dc.subject.classificationIngenieríaes
dc.title3D optical flow estimation in cardiac CT images using the hermite transformen
dc.typeContribución a congresoes
dcterms.audienceInvestigadoreses
dcterms.audienceEstudianteses
dcterms.audienceMaestroses
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dc.identifier.doi10.1117/12.2256777


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