体表血管近红外三维成像系统与识别算法研究  

Near-Infrared Three-Dimensional Imaging System and Recognition Algorithm for Subcutaneous Blood Vessels

作　　者：邱嘉聆 付庄[1] 金惠良 费健[2] 谢荣理[2] Qiu Jialing;Fu Zhuang;Jin Huiliang;Fei Jian;Xie Rongli(State Key Laboratory of Mechanical System and Vibration,Shanghai Jiao Tong University,Shanghai 200240,China;Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China)

机构地区：[1]上海交通大学机械系统与振动国家重点实验室,上海200240 [2]上海交通大学医学院附属瑞金医院,上海200025

出　　处：《光学学报》2023年第9期188-197,共10页Acta Optica Sinica

基　　金：国家自然科学基金面上项目(61973210);医工交叉项目(YG2019ZDA17,20214Y0223,ZH2018QNB23);上海市科学技术委员会项目(17441901000);上海航天基金项目(USCAST2020-7);基础加强计划项目(2020-JCJQ)。

摘　　要：针对体表组织较厚部位的血管识别困难的问题,提出一种用于体表血管提取与三维成像的双目系统与图像处理算法。成像系统设计采用会聚双目近红外增强相机与近红外LED阵列,并基于朗伯特辐射模型优化了LED阵列的辐照分布均匀性。图像处理算法先通过以Frangi滤波为基础的单目图像处理流程提取左图像中血管骨架,再通过改进的滑窗匹配算法结合右图信息计算血管骨架深度。实验分析了该系统在手背、小臂、颈部以及仿体模型上的血管提取效果、立体匹配有效率以及处理速度,验证了该系统在体表组织较厚部位的实用性。Objective An imaging system and processing algorithm for the extraction and three-dimensional imaging of subcutaneous blood vessels is proposed to overcome the difficulty of vascular recognition in thick parts of surface tissue.Vascular visualization technology is used in the medical field to treat scenarios such as venipuncture and interventional therapy to reduce the additional trauma to the patient.Since hemoglobin in the blood has a higher absorption rate of light in the near-infrared(NIR)band(700-1000 nm)than lipids,proteins,and water,vascular tissue appears as a dark shadow area projected on the surface of the skin in images taken in the NIR band,and the position of the shadow area changes with the viewing perspective.According to the above principles,some researchers use multi-view imaging technology to perform three-dimensional reconstruction of subcutaneous blood vessels.This technique consists of two main steps:the first one is the vascular segmentation on the grayscale image,and the second one is the stereo matching on multi-view images to reconstruct the three-dimensional information of blood vessels.However,in the available literature,the applicable body parts of the equipment are limited due to the light source and camera arrangement.Other drawbacks include the noise line segment in the extraction result and the lack of algorithm efficiency optimization.Therefore,we hope to design a vascular recognition module for the automatic puncture robot from the aspects of the light source and camera arrangement design and the improvement in the vascular skeleton extraction algorithm.Methods The optimization of the vascular segmentation effect includes the optimization of the original image quality and that of the image processing algorithm.Some studies have shown that improving the irradiance uniformity of the light source on the body surface can make the vascular region more distinctive in the grayscale image.Given such knowledge,our imaging system design uses a convergent binocular NIR-enhanced camera kit a

关 键 词：医用光学 医用光学仪器 近红外技术 血管可视化设备 三维重建 照明设计 自动穿刺 

分 类 号：TN219[电子电信—物理电子学] TU113.656[建筑科学—建筑理论]