不均勻超音波影像之斑紋消除法之研究

Abstract

本研究的主要目的在於發展不均勻超音 波影像斑紋減少（speckle reduction）演算 法以有效降低斑紋在臨床超音波影像定量 分析之干擾。本研究的主要成果在於提出 以斜面影像模型為基礎的對稱區域成長 法。此法不但消除了傳統平面模型不真實 的缺點，也保證平均值的不偏性。此外， 此演算法也融入了斑紋模型，使得對於斑 紋的估計更為正確。

The goal of this study was to develop a new speckle reduction algorithm for inhomogeneous ultrasound images to effectively alleviate the interference of speckle in the quantitative image analysis. The main contribution of this study was the symmetric region growing technique based on the slope facet model. This scheme not only eliminated the drawback of the unrealistic flat facet model, but also ensured the unbiasness of the mean value. Besides, this scheme also incorporated a widely used speckle model, which promised a better estimation of the speckle.