Methods for kinematic analysis of the right ventricle

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dc.contributor.advisorSacks, Michael S.
dc.creatorSimmons, Rose Janet
dc.creator.orcid0000-0002-6935-3782
dc.date.accessioned2017-07-10T14:23:05Z
dc.date.available2017-07-10T14:23:05Z
dc.date.issued2017-05
dc.date.submittedMay 2017
dc.date.updated2017-07-10T14:23:05Z
dc.description.abstractDespite playing a large role in many cardiovascular diseases (such as pulmonary hypertension), the heart's right ventricle (RV) is still poorly understood in regards to its complex shape and motion over the cardiac cycle. In this report, we examine the kinematics of the right ventricle and our ongoing progress towards developing a computational pipeline to extract functional measurements of deformation from cardiac computed tomography (CT) images. While other techniques in [2], [9], and [31] have been used to model the RV shape and motion, they lack a clear physical interpretation of their results. By using a central axis governed by blood ow direction, left ventricle based coordinate system, and deformable NURBS shape representation, we aim to identify kinematic modes that have a more direct physiological meaning. In doing so, the proposed methods could be eventually developed into an image-based tool for both diagnostic and prognostic purposes.
dc.description.departmentComputational Science, Engineering, and Mathematics
dc.format.mimetypeapplication/pdf
dc.identifierdoi:10.15781/T2Z31P159
dc.identifier.urihttp://hdl.handle.net/2152/54109
dc.language.isoen
dc.subjectRight ventricle
dc.subjectCardiac modeling
dc.subjectPulmonary hypertension
dc.subjectKinematic
dc.titleMethods for kinematic analysis of the right ventricle
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentComputational Science, Engineering, and Mathematics
thesis.degree.disciplineComputational Science, Engineering, and Mathematics
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Computational Science, Engineering, and Mathematics

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