Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery

被引：2

作者：

Tang, Yue ^{[1
]}

Gitajn, I. Leah ^{[2
]}

Cao, Xu ^{[1
]}

Han, Xinyue ^{[1
]}

Elliott, Jonathan T. ^{[2
]}

Yu, Xiaohan ^{[1
]}

Bateman, Logan M. ^{[2
]}

Malskis, Bethany S. ^{[2
]}

Fisher, Lillian A. ^{[2
]}

Sin, Jessica M. ^{[3
]}

Henderson, Eric R. ^{[2
]}

Pogue, Brian W. ^{[1
]}

Jiang, Shudong ^{[1
]}

机构：

[1] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA

[2] Dartmouth Hitchcock Med Ctr, Dept Orthopaed, Lebanon, NH 03756 USA

[3] Dartmouth Hitchcock Med Ctr, Dept Radiol, Lebanon, NH 03756 USA

来源：

MOLECULAR-GUIDED SURGERY | 2023年 / 12361卷

关键词：

motion artifact; dynamic contrast-enhanced fluorescence imaging; indocyanine green; bone vascular perfusion; open orthopedic surgery; time-intensity curve; BONE PERFUSION; REGISTRATION;

D O I：

10.1117/12.2650028

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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) frame-by-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.

引用

页数：4

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