EXPLORING THE USE OF 3D OPTICAL IMAGING FOR CLINICALLY AND NON-CLINICALLY APPLICABLE BODY COMPOSITION ASSESSMENT

dc.contributor.advisorShepherd, John A.
dc.contributor.authorWong, Michael Cen
dc.contributor.departmentNutritional Sciences
dc.date.accessioned2022-07-05T19:58:51Z
dc.date.available2022-07-05T19:58:51Z
dc.date.issued2022
dc.description.degreePh.D.
dc.identifier.urihttps://hdl.handle.net/10125/102267
dc.subjectNutrition
dc.subjectMedical imaging
dc.subjectObstetrics
dc.subject3D Optical Imaging
dc.subjectBody Composition
dc.subjectdual-energy X-ray absorptiometry
dc.subjectObesity
dc.titleEXPLORING THE USE OF 3D OPTICAL IMAGING FOR CLINICALLY AND NON-CLINICALLY APPLICABLE BODY COMPOSITION ASSESSMENT
dc.typeThesis
dcterms.abstractIn recent decades, obesity has risen to concerning rates in children and adults. Children with obesity have a higher risk of staying obese in adulthood. Coupled with obesity, comes with increased risk of metabolic diseases, cardiovascular disease, and some cancers. Body mass index (BMI) and waist circumference (WC) are example surrogate measurements to classify individuals with obesity and to describe body shape in clinical assessments and epidemiological studies. However, BMI and WC may not provide adequate body shape information to describe the complexities of the entire body. Recent developments in three-dimensional optical (3DO) surface imaging have brought new opportunities to assess body shape with a low cost, easy-to-use, and accessible technology. The focus of this dissertation was to further develop techniques of quantifying body composition in children/adolescents and adults. In order for 3DO to be accepted as a viable and reliable body composition modality, accuracy and precision needs to be comparable to the current reference methods. Therefore, the aims of the dissertation are as follows: 1) Determine if automated anthropometry from 3DO can predict accurate and precise body composition in children and adolescents; 2) Identify optimal 3D mesh qualities and processes that would improve the accuracy and precision of statistical shape models; 3) Determine how the change in body shape is associated and predictive to the change in body composition.
dcterms.extent86 pages
dcterms.languageen
dcterms.publisherUniversity of Hawai'i at Manoa
dcterms.rightsAll UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dcterms.typeText
local.identifier.alturihttp://dissertations.umi.com/hawii:11302

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