Xing Baicheng, He Zhengyan, Zhou Fang, Zhao Yuan, Shan Tianqi
State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.
These authors contributed equally to this work.
Biomed Opt Express. 2023 Jan 31;14(2):987-1002. doi: 10.1364/BOE.481163. eCollection 2023 Feb 1.
Photoacoustic (PA) imaging provides unique advantages in peripheral vascular imaging due to its high sensitivity to hemoglobin. Nevertheless, limitations associated with handheld or mechanical scanning by stepping motor techniques have precluded photoacoustic vascular imaging from advancing to clinical applications. As clinical applications require flexibility, affordability, and portability of imaging equipment, current photoacoustic imaging systems developed for clinical applications usually use dry coupling. However, it inevitably induces uncontrolled contact force between the probe and the skin. Through 2D and 3D experiments, this study proved that contact forces during the scanning could significantly affect the vascular shape, size, and contrast in PA images, due to the morphology and perfusion alterations of the peripheral blood vessels. However, there is no available PA system that can control forces accurately. This study presented an automatic force-controlled 3D PA imaging system based on a six-degree-of-freedom collaborative robot and a six-dimensional force sensor. It is the first PA system that achieves real-time automatic force monitoring and control. This paper's results, for the first time, demonstrated the ability of an automatic force-controlled system to acquire reliable 3D PA images of peripheral blood vessels. This study provides a powerful tool that will advance PA peripheral vascular imaging to clinical applications in the future.
由于光声(PA)成像对血红蛋白具有高灵敏度,因此在周围血管成像中具有独特优势。然而,与手持式或通过步进电机技术进行机械扫描相关的局限性阻碍了光声血管成像向临床应用的发展。由于临床应用需要成像设备具有灵活性、可承受性和便携性,目前为临床应用开发的光声成像系统通常采用干式耦合。然而,这不可避免地会在探头与皮肤之间产生不受控制的接触力。通过二维和三维实验,本研究证明,由于外周血管的形态和灌注改变,扫描过程中的接触力会显著影响PA图像中的血管形状、大小和对比度。然而,目前尚无能够精确控制力的PA系统。本研究提出了一种基于六自由度协作机器人和六维力传感器的自动力控三维PA成像系统。这是首个实现实时自动力监测和控制的PA系统。本文的结果首次证明了自动力控系统获取外周血管可靠三维PA图像的能力。本研究提供了一个强大的工具,将推动PA外周血管成像在未来走向临床应用。