In this study, extensive efforts have been made toquantify soft tissue viscoelasticity and imagelesions in vivo. Two independent quantitativemethods, CRE and MM, were developed and validatedfor soft tissue characterization. The frequency-dependent complex Young's modulus of normal andcancerous prostate tissues was systematicallyinvestigated by the established mechanicalmeasurement technique. Quantification of mechanicalproperties of human prostate tissue is highlynecessary for the improvement of elasticity imagingfor prostate cancer detection. As an important steptowards clinical implementation in humans, an animalmodel was established to investigate the feasibilityof sonoelastography for in vivo lesion detection.The results indicated that the area and volume ofthermal lesions measured by sonoelastographycorrelated closely to the pathology findings,demonstrating that sonoelastography could reliablyand more accurately image hepatic thermal lesions invivo in comparison to conventional US.
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