Shear Wave Elastography Based on Optical Coherence Tomography
type: CreativeWork
description: Mechanical properties of biological tissue are involved in a wide range of modern advances of medical science and technology. The mechanical property of biological tissue is directly related to the functionalities of tissue or organ, hence the in-depth knowledge of tissue mechanical property could lead to many benefits in medical research and health care. In clinical practice, accurate estimation of tissue mechanical property may facilitate to predict any possible pathological alterations, or to propose artificial intervention approaches. With the purpose of a quantitative, directly visualized estimation of biological tissue mechanical property, numerous research works in elastography have been conducted and had been successfully applied to countless clinical applications. Elastography techniques had been always rooted in medical imaging technique, classified into a range of scales, based on their imaging depth and resolution performance. In the scale of tissue micro structure, elastography is still a relatively new field, enabled by the recent advances in high-resolution medical imaging techniques e.g. high-frequency ultrasound imaging and Optical Coherence Tomography (OCT). The quantitative elastography technique based on OCT, known as quantitative optical coherence elastography (OCE) is a new research field, promising high-resolution quantitative elastography information with minimal contact that is not achievable by other imaging modalities. The aim of the thesis is to develop a multiple-functional OCT system to image the microstructure of biological tissue, meanwhile quantify localised mechanical property in the region of interest, and further apply it for pre-clinical research applications. Starting from the numerical model of mechanical waves, the behaviours of shear waves and surface waves in biological tissue is studied. Contact mechanical stimulations, as well as non-contact ultrasound and pulsed lasers are utilised to generate transient waves in biologica…
abstract: Mechanical properties of biological tissue are involved in a wide range of modern advances of medical science and technology. The mechanical property of biological tissue is directly related to the functionalities of tissue or organ, hence the in-depth knowledge of tissue mechanical property could lead to many benefits in medical research and health care. In clinical practice, accurate estimation of tissue mechanical property may facilitate to predict any possible pathological alterations, or to propose artificial intervention approaches. With the purpose of a quantitative, directly visualized estimation of biological tissue mechanical property, numerous research works in elastography have been conducted and had been successfully applied to countless clinical applications. Elastography techniques had been always rooted in medical imaging technique, classified into a range of scales, based on their imaging depth and resolution performance. In the scale of tissue micro structure, elastography is still a relatively new field, enabled by the recent advances in high-resolution medical imaging techniques e.g. high-frequency ultrasound imaging and Optical Coherence Tomography (OCT). The quantitative elastography technique based on OCT, known as quantitative optical coherence elastography (OCE) is a new research field, promising high-resolution quantitative elastography information with minimal contact that is not achievable by other imaging modalities. The aim of the thesis is to develop a multiple-functional OCT system to image the microstructure of biological tissue, meanwhile quantify localised mechanical property in the region of interest, and further apply it for pre-clinical research applications. Starting from the numerical model of mechanical waves, the behaviours of shear waves and surface waves in biological tissue is studied. Contact mechanical stimulations, as well as non-contact ultrasound and pulsed lasers are utilised to generate transient waves in biologica…
author: Song, Shaozhen
language: eng
date published: 2014
date modified: 2026-07-24T02:08:05Z
provider: University of Dundee
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Dundee