Kong Siying, Zuo Hongzhi, Wu Chuhua, Liu Ming-Yuan, Ma Cheng
Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Beijing 100084, China.
Department of Vascular Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Biomed Opt Express. 2024 Apr 2;15(5):2741-2752. doi: 10.1364/BOE.518895. eCollection 2024 May 1.
Hemodynamics can be explored through various biomedical imaging techniques. However, observing transient spatiotemporal variations in the saturation of oxygen (sO) within human blood vessels proves challenging with conventional methods. In this study, we employed photoacoustic computed tomography (PACT) to reconstruct the evolving spatiotemporal patterns in a human vein. Through analysis of the multi-wavelength photoacoustic (PA) spectrum, we illustrated the dynamic distribution within blood vessels. Additionally, we computationally rendered the dynamic process of venous blood flowing into the major vein and entering a branching vessel. Notably, we successfully recovered, in real time, the parabolic wavefront profile of laminar flow inside a deep vein in vivo-a first-time achievement. While the study is preliminary, the demonstrated capability of dynamic sO imaging holds promise for new applications in biology and medicine.
血流动力学可以通过各种生物医学成像技术进行探索。然而,用传统方法观察人体血管内氧饱和度(sO)的瞬态时空变化具有挑战性。在本研究中,我们采用光声计算机断层扫描(PACT)来重建人体静脉中不断演变的时空模式。通过对多波长光声(PA)光谱的分析,我们展示了血管内的动态分布。此外,我们通过计算呈现了静脉血流入大静脉并进入分支血管的动态过程。值得注意的是,我们首次在体内实时成功恢复了深静脉内层流的抛物线波前轮廓。虽然该研究尚处于初步阶段,但所展示的动态sO成像能力在生物学和医学新应用方面具有广阔前景。