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dc.contributor.advisorMerchant, Fatima
dc.creatorLi, Danni 1988-
dc.date.accessioned2015-08-26T01:05:31Z
dc.date.available2015-08-26T01:05:31Z
dc.date.createdAugust 2013
dc.date.issued2013-08
dc.identifier.urihttp://hdl.handle.net/10657/1085
dc.description.abstractPtosis is an important morphological parameter for characterizing breast aesthetics and is frequently used for assessing the outcome of breast surgery. It refers to the extent to which the nipple is lower than the terminus of the inframammary fold (the contour along which the inferior part of the breast attaches to the chest wall). Current clinical assessment of ptosis involves qualitative visualization by observers which is subject to inter- and intra-observer variability. Alternatively, ptosis can be measured anthropometrically from the patient or from clinical photographs, but these methods are error prone. As stereophotography is now finding its niche in clinical breast surgery, in this study we investigated and evaluated the utility of three-dimensional (3D) features such as surface curvature, coronal projection and surface normal for the assessment of breast ptosis using 3D scans of the torso. Experimental results suggest that 3D features are successful for objectively categorizing breast ptosis with high accuracy and precision.
dc.format.mimetypeapplication/pdf
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 Ptosis
dc.subject.lcshElectrical engineering
dc.titleComputation of Breast Ptosis from 3D Scans of Torso
dc.date.updated2015-08-26T01:05:31Z
dc.type.genreThesis
thesis.degree.nameMaster of Science
thesis.degree.levelMasters
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentElectrical and Computer Engineering, Department of
dc.contributor.committeeMemberRoysam, Badrinath
dc.contributor.committeeMemberOgmen, Haluk
dc.contributor.committeeMemberReece, Gregory P.
dc.type.dcmiText
dc.format.digitalOriginborn digital
thesis.degree.majorElectrical Engineer
dc.description.departmentElectrical and Computer Engineering, Department of
thesis.degree.collegeCullen College of Engineering


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