2026-09-19T00:43:52Zhttps://wakespace.lib.wfu.edu/server/oai/request

oai:null:10339/930432026-04-21T20:51:47Zcom_10339_14934col_10339_38132

Saffarzadeh, Mona 2019-01-11T09:35:14Z 2023-12-30T09:30:05Z 2018 https://wakespace.lib.wfu.edu/handle/10339/93043 Improvements in non-invasive imaging and three-dimensional visualization techniques permit highly detailed morphological analyses of internal organs. Morphometric quantification of bony and soft tissue anatomy from computed tomography (CT) and magnetic resonance 1 images is used to quantify shape and density variation of structures and to associate these variations with existing abnormalities and dysfunctions for disease prognosis and prediction of injury risk. Analyzing soft tissue structures is particularly challenging due to the lack of homologous landmarks that can be reliably identified across specimens. Current tools to assess morphology of the internal organs generally do not consider accurate 3D shape analysis based on statistical methods. This study uses high resolution image modalities to create 3D models of soft and bony tissue based on homologous landmarks in order to quantify biological variability. High temporal and spatial resolution images will provide detailed anatomical models of internal organs. This dissertation is comprised of three parts: en Wake Forest University bone mineral density colorectal cancer heart failure medical device desgin morphological modeling Image-Based Morphological Modeling of Soft and Bony Tissue with Applications in Prognostics and Medical Device Design Dissertation Saffarzade, Mona Weaver, Ashley Ann Gayzik, Francis Scott Stitzel, Joel Douglas Weis, Jared Anthony lenchik, Leon Biomedical Engineering 2023-12-30 open.access