Wake Forest University
Image-Based Morphological Modeling of Soft and Bony Tissue with Applications in Prognostics and Medical Device Design
Abstract
dc:description.abstractImprovements 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:
Degree
thesis:*- Grantor dc:publisher
- Wake Forest University
- Year dc:date.issued
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Saffarzadeh, Mona
Subjects
dc:subject × 1Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/10339/93043
- OAI identifier oai:identifier
- oai:wakespace.lib.wfu.edu:10339/93043