dc.contributor.advisor | Righetti, Raffaella | |
dc.creator | Islam, Md Tauhidul | |
dc.date.accessioned | 2021-01-12T18:07:13Z | |
dc.date.available | 2021-01-12T18:07:13Z | |
dc.date.created | 2018-12 | |
dc.date.issued | 2018-11-23 | |
dc.date.submitted | December 2018 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/192052 | |
dc.description.abstract | Mechanical microenvironment of cancerous tumors plays an important role in the growth,
metastasis and treatment of the tumors. Elevated interstitial fluid pressure (IFP) is an important
component of the mechanical microenvironment of the tumor and a mechanopathological
parameter of great clinical significance. Interstitial and vascular permeabilities are two other
mechanopathological parameters of soft tissues that are clinically relevant and can provide useful
information for cancer diagnosis and prognosis. There are a few invasive techniques that can
measure IFP and the interstitial and vascular permeabilities in tissues but no non invasive imaging
techniques that can assess or quantify them. In this dissertation, I propose novel, non invasive
techniques based on ultrasound poroelastography, which can image these mechanopathological
parameters in cancers in vivo. To achieve the goal, I developed analytical models, novel strain estimation
techniques and reconstruction method for estimating the Young’s modulus and Poisson’s
ratio of tumors and normal tissues. I applied my techniques on a few treated and untreated mice
in a small in vivo study. The reconstructed IFP, interstitial permeability and vascular permeability
were found to increase in untreated tumors with time, whereas to decrease or remain almost
same in treated tumors with time. These results correlate with the results available in the literature.
Based on the importance of the IFP, interstitial and vascular permeability in diagnosis, prognosis
and treatment of cancers, the proposed methodology may keep important impact in quantitative
cancer imaging. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | Cancer imaging | en |
dc.subject | tumor mechanopathology | en |
dc.subject | interstitial fluid pressure | en |
dc.subject | ultrasound elastography | en |
dc.subject | poroelastography | en |
dc.title | Estimation of Mechanopathological Parameters Using Ultrasound Poroelastography | en |
dc.type | Thesis | en |
thesis.degree.department | Electrical and Computer Engineering | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Doctor of Philosophy | en |
thesis.degree.level | Doctoral | en |
dc.contributor.committeeMember | Wright, Steve | |
dc.contributor.committeeMember | Zou, Jun | |
dc.contributor.committeeMember | Reddy, J N | |
dc.type.material | text | en |
dc.date.updated | 2021-01-12T18:07:14Z | |
local.etdauthor.orcid | 0000-0002-4860-4167 | |