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Wake Forest University

Image-Based Morphological Modeling of Soft and Bony Tissue with Applications in Prognostics and Medical Device Design

Abstract

dc:description.abstract

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:

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 × 1

Rights

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

Chain of custody

source
Harvested from
Wake Forest University
Base URL
wakespace.lib.wfu.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Saffarzadeh, Mona. Image-Based Morphological Modeling of Soft and Bony Tissue with Applications in Prognostics and Medical Device Design. Wake Forest University, 2018. http://hdl.handle.net/10339/93043