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Virginia Tech

Characterization of Biomaterials for Regenerative Medicine via Computational Fluid Flow Analysis of Dynamic Contrast Enhanced – Magnetic Resonance Imaging (DCE-MRI) Images

Abstract

dc:description.abstract

Significant advancements have been made within the field of regenerative medicine over the last few decades with the goal of creating biological substitutes to mimic tissue for research and wound healing purposes. Simply put, regenerative medicine works by understanding and then manipulating the processes by which cells communicate and proliferate for healing purposes. Before valuable progress can be made in regenerative medicine, smaller steps need to be taken first, like understanding the biomaterials that are used within regenerative medicine research. Biomaterials, which are materials that interact with cells and perform a function, are used to mimic the native extracellular matrix of cell scaffolding in regenerative medicine research. Numerous types of biomaterials exist, and it is important to choose the most appropriate material for the goal at hand. Therefore, biomaterials need to be characterized before useful research with the materials can be done. An important aspect of biomaterials that can be characterized is fluid flow through the biomaterials. This is important because adequate transport of oxygen, nutrients, waste, and soluble factors are required for cell proliferation and survival.[1] Biomaterials can be characterized based on their chemical, physical, and mechanical characteristics via many different characterization methods that are discussed in this paper. The overall goal of this research is to characterize the fluid flow metrics through Micro-porous Annealed Particle (MAP) hydrogels and others using Dynamic Contrast Enhanced – Magnetic Resonance Imaging (DCE-MRI) and computational analysis of the images via MATLAB. The analysis was utilized to analyze the fluid flow through several different biomaterial types, allowing for observational comparison between biomaterial groups. Overall, this method for characterizing fluid flow through biomaterials shows promise for future use and further understanding of biomaterials' roles in regenerative medicine.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Biomedical Engineering
Department dc:contributor.department
Department of Biomedical Engineering and Mechanics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Haynes, Samantha Dare
Chair dc:contributor.committeechair
  • Munson, Jennifer M.
Committee members dc:contributor.committeemember
  • Roberts, LaDeidra Monet
  • Staples, Anne E.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:41000
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/119420

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Haynes, Samantha Dare. Characterization of Biomaterials for Regenerative Medicine via Computational Fluid Flow Analysis of Dynamic Contrast Enhanced – Magnetic Resonance Imaging (DCE-MRI) Images. masters thesis, Virginia Tech, 2024. https://hdl.handle.net/10919/119420