Xiao Jiaying, Yao Lei, Sun Yao, Sobel Eric S, He Jishan, Jiang Huabei
Institute of Biomedical Engineering, School of Info-Physics Geomatics Engineering, Central South University, Changsha 410083, China.
Opt Express. 2010 Jul 5;18(14):14359-65. doi: 10.1364/OE.18.014359.
We present for the first time in vivo experimental evidence that quantitative photoacoustic tomography (qPAT) has the potential to detect osteoarthritis (OA) in the finger joints. In this pilot study, 2 OA patients and 4 healthy volunteers were enrolled, and their distal interphalangeal (DIP) joints were examined photoacoustically by a PAT scanner. Tissue absorption coefficient images of all the examined joints, which were unavailable from the conventional PAT, were recovered using our finite element based qPAT approach. The recovered quantitative photoacoustic images revealed significant differences in the tissue absorption coefficient of the joint cavity (cartilage and synovial fluid) between the OA and normal joints.
我们首次提供了体内实验证据,表明定量光声断层扫描(qPAT)有潜力检测手指关节的骨关节炎(OA)。在这项初步研究中,招募了2名骨关节炎患者和4名健康志愿者,并用光声断层扫描仪对他们的远端指间关节(DIP)进行了光声检查。使用我们基于有限元的qPAT方法,恢复了所有被检查关节的组织吸收系数图像,而传统光声断层扫描无法获得这些图像。恢复后的定量光声图像显示,骨关节炎关节与正常关节之间关节腔(软骨和滑液)的组织吸收系数存在显著差异。