光学相干层析成像中散斑噪声减小算法  

Speckle Reduction in Optical Coherence Tomography

作　　者：沈婷梅[1] 顾瑛[1] 王天时[2] 马国江[1] 

机构地区：[1]北京理工大学信息科学技术学院 [2]清华大学物理系,北京100084

出　　处：《中国激光》2008年第9期1437-1440,共4页Chinese Journal of Lasers

摘　　要：干涉测量中的散斑噪声极大地限制了光学相干层析(OCT)成像中特征信息的提取,因此,如何减小散斑噪声成为OCT成像领域的一个重要问题。利用最小化Csiszar Ⅰ-散度的测量方法推出一种散斑最小化算法,不仅可以生成与测量数据一致的图像数据,而且可以推出图像的附加信息,展示了采用散斑最小化算法对人手指正常皮肤的OCT图像散斑噪声最小化处理结果,结果表明,此算法不仅可以极大地减小散斑噪声、提高信噪比,而且能保持清晰的边缘效果。Speckle noise significantly limits the information content extraction provided by optical coherence tomography （OCT）. Therefore speckle reduction is an important issue in OCT imaging. Using a method of regularization by minimizing Csiszar＇s I-divergence, we derive a method of speckle minimization. This method can not only produce an image data that is consistent with the known data but also extrapolate additional detail. This algorithm is used to process the OCT image of the human finger. The results show that this method of speckle minimization can significantly reduce speckle and increase the signal to noise ratio, while preserve edge sharpness.

关 键 词：医用光学与生物技术 相干 光学相干层析 散斑去除 Csiszar I-散度测量 最小二乘法 

分 类 号：TH744.3[机械工程—光学工程]