醫用超音波影像已經廣泛的應用在臨床診斷上，但是人體組織的力學特性無法輕易利用超音波影像來描述。本文利用質點影像速度儀之原理與超音波影像互相結合，藉由超音波影像具有低價格、非侵入式、無輻射性危險等優點，可以安全無虞的研究人體組織行為。
本文討論的超音波影像為人類發聲時，聲帶與其皮下組織的變化，並提供質點影像速度儀之原理與超音波影像結合的經驗與實驗變數。運用PIV軟體分析超音波影像前，須先將其轉檔成TIF檔；實驗變數主要有四大類:(1)spot size(2)grid engine(3)spot mask engine(4)correlation engine；spot size選擇太小的分析結果錯誤過多，spot mask engine選擇Gaussian mask以外的變數皆可顯示流場趨勢，而FFT correlator、Hart correlator演算法的結果並不會相差太多，direct correlator分析結果容易出現錯誤。

Using ultrasound image to observe human body motion has a lot of advantages. And there were some models of vocal fold vibration. However, they were insufficient to explain complex behaviors of vocal folds. So we tried to analyze ultrasound images of vocal fold vibration using the principle of PIV (particle image velocimetry) and discuss the effect of different parameters. Our parameters include:(1)spot size(2)grid engine(3)spot mask engine(4)correlation engine. It will have error result when we choose smaller spot size. The correct results will be show when choose others spot mask except Gaussian mask. The result using FFT correlator is similar to Hart correlator. And the result using Direct correlator to analyze ultrasound image has error easily.

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