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  4. Dynamic Analyses of Ultrasound Imaging and Their Clinical Applications
 
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Dynamic Analyses of Ultrasound Imaging and Their Clinical Applications

Date Issued
2004
Date
2004
Author(s)
Pao, Sun-Hua
DOI
zh-TW
URI
http://ntur.lib.ntu.edu.tw//handle/246246/62504
Abstract
Dynamic imaging of ultrasonography provides a convenient real-time diagnostic tool for clinical research. The objective of this study is to develop the interactive image analysis software for clinical biomechanics of blood vessels and tumor vascularity. Automatic edge-detection techniques of vascular walls and the depth compensation of ultrasound image have been implemented. The M-mode images have been used to evaluate vascular energy dissipation ratio (EDR) with a higher spatial resolution. Furthermore, sequential B-mode images offer the vascular stiffness in different radial direction. In addition, the single-point pulsed Doppler has been shown to be capable of measuring the pulsed wave velocity (PWV) locally. We also developed a non-invasive technique detect the change of intima-media thickness (IMT) with the lumen pressure, and the relative stiffness between the intima-media and the adventitia could be calculated. Using power Doppler a novel tumor differentiation parameter, DFVI (Differential Vascular Index), has been proposed to quantify the blood circulation in tumors. DFVI is affirmed to be more efficient in the classification of malignant tumor (thyroid carcinoma) from the benign tumor than the traditional VI (Vascular Index). Among 43 patients (16 benignancy and 27 malignancy), the VI of malignant thyroid tumor is higher than those of benignancy but with only a minor statistical significance (p=0.055). On the other hand, the difference between the benignancy and the malignancy is successfully identified by DFVI(p=0.004, sensitivity 84%, specificity 64%) because of the protruded microcirculation among thyroid tumor tissue. In this study, although the quantity of the scatter power can not reflect the content of blood flow, the scattered power variance (PW Var) is statistically significant between benignancy and malignancy (p=0.014 , sensitivity=80% , specificity 64%). However, the PW Var does not have sufficient statistical significance in differentiate the normal tissue perfusion from the malignant one. Because the PW var is independent from region of interest (ROI), it may have the potential to investigate those tumors where the ROI is ambiguous.
Subjects
血管指數
脈波速度
血管彈性
血管密度
Vascular Index
MVD
Vascular elasticity
pulsed wave velocity
Type
thesis
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