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|Title:||Ultrasound tissue displacement and tissue elasticity imaging|
|Author(s):||Chen, Eric Chung Jay|
|Doctoral Committee Chair(s):||O'Brien, William D.|
|Department / Program:||Electrical and Computer Engineering|
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
Engineering, Electronics and Electrical
Health Sciences, Oncology
|Abstract:||In this dissertation, we investigate the feasibility of using high frequency ultrasound, to measure tissue motion and tissue elasticity for medical imaging applications. Ultrasound provides a means for non-invasive imaging of soft tissues, providing soft tissue contrast that cannot be achieved using conventional X-ray or tomographic imaging.
A two-dimensional correlation search algorithm is used to track local tissue displacements from radio frequency (RF) ultrasound echoes and from digitized ultrasound images. The accuracy of displacement imaging is investigated as a function of various imaging parameters such as ultrasound frequency and target size.
Ultrasound elasticity imaging consists of three basic steps: (1) measurement of tissue displacement, (2) estimation of tissue stresses and strains, and (3) recovery of tissue elasticity. Tissue strains and tissue elasticities are obtained from reconstructed tissue displacement fields and experimental measurements of applied stresses. Ultrasound elasticity measurements were compared with independent Instron load cell elasticity measurements.
Several examples of tissue displacement imaging of breast tumors in human breast cancer patients and ultrasound elasticity measurements of tissue phantoms (soft gels), and samples of bovine muscle and fat tissue are provided.
|Rights Information:||Copyright 1995 Chen, Eric Chung Jay|
|Date Available in IDEALS:||2011-05-07|
|Identifier in Online Catalog:||AAI9624309|
This item appears in the following Collection(s)
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering