Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery.
Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery.
复制标题
开放式骨科手术期间动态对比增强荧光成像的自动运动伪影校正。
DOI：
10.1117/12.2650028
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Jiang,Shudong
中科院分区：
文献类型：
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作者：
Tang,Yue;Gitajn,ILeah;Cao,Xu;Han,Xinyue;Elliott,JonathanT;Yu,Xiaohan;Bateman,LoganM;Malskis,BethanyS;Fisher,LillianA;Sin,JessicaM;Henderson,EricR;Pogue,BrianW;Jiang,Shudong
基于吲哚菁绿（ICG）的动态对比增强荧光成像（DCE-FI）可以客观评估术中骨灌注。然而，在4.5分钟的DCE-FI数据采集过程中，由于患者的不自主呼吸，它容易受到运动伪影的影响。为了克服这一问题，提出了一种基于互信息逐帧的自动运动校正方法。在该方法中，计算参考帧与相邻平移帧之间的MI值，最大MI值对应于最优平移。用18例截肢患者的图像验证了该方法的有效性，结果表明该方法可以显著减少运动伪影，提高骨灌注评估的准确性。
Indocyanine green (ICG)-based dynamic contrast-enhanced fluorescence imaging (DCE-FI) can objectively assess bone perfusion intraoperatively. However, it is susceptible to motion artifacts due to patient’s involuntary respiration during the 4.5-minute DCE-FI data acquisition. An automated motion correction approach based on mutual information (MI) frameby-frame was developed to overcome this problem. In this approach, MIs were calculated between the reference and the adjacent frame translated and the maximal MI corresponded to the optimal translation. The images obtained from eighteen amputation cases were utilized to validate the approach and the results show that this correction can significantly reduce the motion artifacts and can improve the accuracy of bone perfusion assessment.