Development of ultrasound elastography methods for biomechanical assessment of soft tissues in medical diagnosis
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Liu, Jingfei
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Abstract
Tissue elasticity is closely related to many pathological and physiological processes of human body such as cancer, fibrosis, and aging. In the past three decades, researchers across many disciplines have devoted considerable attentions to developing elastography (i.e., elasticity imaging) methods for characterizing tissue elasticity. This biomechanical information has shown great values in medical diagnosis, treatment monitoring as well as image-guide therapy. Elastography is normally implemented with the assistance of conventional medical imaging methods such as ultrasound, magnetic resonance imaging, and optical coherence tomography. Ultrasound-based elastography as a safe, low-cost and noninvasive imaging modality has bee proved to be effective in diagnosing numerous diseases such as cancer and liver fibrosis. However, to expand the application of ultrasound elastography to the diagnosis of more elasticity-related diseases, many challenges must be address. Examples of these challenges include improving elasticity image quality, characterizing non-bulk tissues/organs, and overcoming the effects of physiological motions in degrading imaging quality and measurement accuracy.
The objective of this dissertation research is to develop new methods to address the challenges of the current ultrasound elastography. The major work of this dissertation includes (1) developing a dual-mode elastography method for noninvasive assessment of tissue internal pressure, (2) developing a dual-transducer method for high-frequency shear wave elastography, (3) developing a Scholte wave based surface wave elastography method for imaging superficial tissues, and (4) developing and validating an ultrasonic guided wave method for the cardiac elastography application in a rodent model.
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2020-12-04
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Dissertation