摘要
散斑存在于光学相干层析成像(OCT)信号中,不可避免地影响OCT图像质量。通过对OCT系统中的噪声源进行分析,提出了一种傅里叶域OCT图像散斑噪声降噪的分数阶积分算法。为了克服单纯主观视觉判别图像质量的局限性,均方误差、峰值信号噪声比和边缘保护系数被选为图像去噪评估标准。通过实验与中值滤波和维纳滤波方法进行比较,结果表明,该算法可以有效地保留OCT图像中的重要边缘细节信息,同时有效消除噪声,使图像细节清晰,提高图像质量。
Speckle resides in OCT(optical coherence tomography)signals and inevitably affects OCT image quality.Based on the analysis of noise sources in OCT system,a fractional integration algorithm for speckle noise reduction in Fourier domain OCT images is proposed.In order to overcome the limitation of image quality by subjective visualization,MSE(mean square error),PSNR(peak signal to noise ratio)and EPI(edge preservation index)are chosen as the image denoising evaluation criterions.The method is compared with the Median filter and Wiener filter.The results demonstrate that the algorithm can effectively preserve the important edge detail information of the OCT image while removing the noise,details of the image is clearer and the image quality is well improved.
作者
秦显富
陈明惠
贾文宇
何锦涛
郑刚
QIN Xianfu;CHEN Minghui;JIA Wenyu;HE Jintao;ZHENG Gang(Institute of Biomedical Optics and Optometry,Shanghai Institute for Minimally Invasive Therapy,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《光学技术》
CAS
CSCD
北大核心
2019年第1期102-106,共5页
Optical Technique
基金
国家自然科学基金青年科学基金(6130115)
上海市自然科学基金(13ZR1457900)
上海市科委产学研医项目(15DZ1940400)
关键词
光学相干层析成像
散斑噪声
图像去噪
分数阶积分算法
optical coherence tomography
speckle noise
image denoising
fractional integral algorithm
