摘要
利用随机相矢量和模型,描述了光学相干层析术(OCT)结构信号的强度概率密度分布,推导出振幅差分信号的概率密度分布,从理论上确定了差分图像的动态与静态区域的阈值模型。利用一套可对人体皮肤的微血管进行扫描成像的扫频光学相干层析系统,通过阈值模型生成二值化图像,将实验室已有的基于体数据的互相关图像与二值化图像相结合。结果表明该模型有助于减小图像的散斑噪声,从而获得更清晰的结构信息。
In this work, using the model of random phasor sums, the intensity probability density distribution of the signal of an optical coherence tomography(OCT) structure is described, the probability density distribution of the amplitude difference signal is derived, and the threshold model of the dynamic and static regions of the difference image is theoretically determined. A set of swept source optical coherence tomography systems that can scan and image the microvascular of the human skin is used to generate binarized images through a threshold model, combining the existing cross-correlation images based on volume data and binarized images in the laboratory. Results show that the proposed model can reduce the speckle noise and obtain clear structural information.
作者
谢晨霞
高万荣
张越
Xie Chenxia;Gao Wanrong;Zhang Yue(School of Electronic Engineering and Optoelectronic Technique Nanjing University of Science and Technology Nanjing,Jiangsu 210094,China)
出处
《中国激光》
EI
CAS
CSCD
北大核心
2020年第12期300-308,共9页
Chinese Journal of Lasers
基金
国家自然科学基金(61275198,60978069)
国家重点研发计划“重大科学仪器设备开发”重点专项(2017YFF0107100)。
关键词
医用光学
生物医学成像
扫频光学相干层析术
统计光学
互相关图像
信噪比
medical optics
biomedical imaging
swept source optical coherence tomography
statistical optics
cross-correlation image
signal-to-noise ratio
