Research on strain image using histogram-based speckle reduction algorithm
直方图匹配算法在超声弹性成像上的应用研究

This paper applied the histogram-based speckle reduction algorithm to strain image for the purpose of reducing noise and improving image quality. In order to achieve the best noise reduction result, this paper discussed the relationship between the size of histogram matching window and resolution cell by simulations. Meanwhile, it tested and analysed the affection of center frequency and cross-correlation window length. Moreover, it collected phantom data to verify the effect of algorithm. Experiment results show the algorithm improves the SNRe and CNRe of strain image noticeably, also the best histogram matching window width is comparatively consistent with lateral resolution and window length is proportional to center frequency and cross-correlation window length.