天津工业大学学报2025，Vol.44Issue(5)：52-58,7.DOI:10.3969/j.issn.1671-024x.2025.05.008
基于时空联合奇异值分解的激光散斑血流成像方法
Laser speckle blood flow imaging method based on spatiotemporal joint SVD
摘要
Abstract
In order to reduce the interference of imaging system noise and static scattering of skin tissue,a method for imag-ing vascular structure and relative velocity of blood flow based on laser speckle contrast analysis is proposed.The spatiotemporal joint singular value decomposition(SVD)filtering method is used for image preprocessing to e-liminate the influence of skin tissue scattering on blood flow images.Then the time-domain laser speckle contrast analysis method is adopted for blood flow imaging.Three filtering algorithms,including anisotropic coupled dif-fusion filtering,adaptive 3D block-matching filtering,and top-hat and bottom-hat transformations,are used to further filter out background noise and improve image contrast.The effectiveness of the proposed algorithm is verified through the numerical simulations,phantom experiments,and human tissue imaging experiments.The results show that this proposed method can effectively suppress the influence of background scattering on imaging and is feasible in terms of laser speckle blood flow imaging.关键词
血流成像/激光散斑衬比分析/时空联合奇异值分解(SVD)/图像增强Key words
blood flow imaging/laser speckle contrast analysis/spatiotemporal joint singular value decomposition(SVD)/image enhancement分类
计算机与自动化引用本文复制引用
张芳,谭茂祥,苗佳琪,宋庆宏..基于时空联合奇异值分解的激光散斑血流成像方法[J].天津工业大学学报,2025,44(5):52-58,7.基金项目
天津市自然科学基金重点项目(24JCZDJC00820) （24JCZDJC00820）
天津市卫生健康科研项目(ZC20112) （ZC20112）
