计算机应用研究2013，Vol.30Issue(4)：1266-1270,5.DOI:10.3969/j.issn.1001-3695.2013.04.084
直方图匹配算法在超声弹性成像上的应用研究
Research on strain image using histogram-based speckle reduction algorithm
摘要
Abstract
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.关键词
超声弹性成像/去噪算法/直方图匹配算法/弹性图像仿真/弹性噪声Key words
elastography/ noise reduction algorithm/ histogram-based speckle reduction algorithm/ strain image simulation/ elastographic noise分类
信息技术与安全科学引用本文复制引用
何颖妮,邵党国,刘东权..直方图匹配算法在超声弹性成像上的应用研究[J].计算机应用研究,2013,30(4):1266-1270,5.
