Presentation + Paper
14 March 2023 Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery
Author Affiliations +
Abstract
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yue Tang, I. Leah Gitajn, Xu Cao, Xinyue Han, Jonathan T. Elliott, Xiaohan Yu, Logan M. Bateman, Bethany S. Malskis, Lillian A. Fisher, Jessica M. Sin, Eric R. Henderson, Brian W. Pogue, and Shudong Jiang "Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery", Proc. SPIE 12361, Molecular-Guided Surgery: Molecules, Devices, and Applications IX, 1236104 (14 March 2023); https://doi.org/10.1117/12.2650028
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KEYWORDS
Bone

Fluorescence imaging

Surgery

Biological imaging

Perfusion imaging

Targeting Task Performance metric

Data acquisition

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