Computational Modeling of Breast Shape Using Spherical Harmonics

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dc.contributor.advisorMerchant, Fatima Aziz
dc.contributor.committeeMemberRoysam, Badrinath
dc.contributor.committeeMemberMayerich, David
dc.contributor.committeeMemberShah, Shishir Kirit
dc.contributor.committeeMemberReece, Gregory P.
dc.creatorCheong, Audrey
dc.creator.orcid0000-0002-3064-9455
dc.date.accessioned2018-12-03T14:37:45Z
dc.date.available2018-12-03T14:37:45Z
dc.date.createdMay 2018
dc.date.issued2018-05
dc.date.submittedMay 2018
dc.date.updated2018-12-03T14:37:45Z
dc.description.abstractAs the number of cosmetic and reconstructive breast surgeries performed have been steadily increasing over the years, there is a greater need for improved technologies, such as developing a computational three-dimensional breast model. The breast model will be an invaluable tool for surgeons in surgical planning and during clinical consultations with patients in shared decision making. In this dissertation, a breast model using spherical harmonics is presented. A 3D breast surface image is converted to a spherical harmonic (SPHARM) description, which is represented with three sets of coefficients and can be used to reconstruct a computational model of the breast. Our modeling results demonstrate significantly moderate to strong correlations between specific SPHARM coefficients and breast shape descriptors, such as height, width, projection, and ptosis. We employ these correlations to evaluate breast shape across several subjects and to interactively modify breast shape through these coefficients. We tested the robustness of our method to convert breast image data to SPHARM models and performed classification using the SPHARM coefficients on two types of breast reconstructions: transverse rectus abdominis myocutaneous (TRAM) flap reconstruction and implant reconstruction. Additionally, results were shown on predicting reconstructed breasts from SPHARM models based on preoperative breasts. Contributions of this research: A parametric breast model was developed that can (1) accurately and compactly represent breast data with a set of coefficients (shape descriptors), (2) easily adjust breast shape through modeled coefficients, (3) employ modeling approach to evaluate and differentiate different breast shapes, (4) generate template shape models representative of specific breast shape types, (5) perform classification using the SPHARM description, and (6) perform predictive modeling.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/3591
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectBreast modeling
dc.subjectSpherical harmonics
dc.subjectShape analysis
dc.subjectClassification
dc.subjectPredictive analytics
dc.subjectSimulations
dc.subjectBreast reconstruction
dc.subject3D modeling
dc.titleComputational Modeling of Breast Shape Using Spherical Harmonics
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2020-05-01
local.embargo.terms2020-05-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentElectrical and Computer Engineering, Department of
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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