| IEEE Photonics Journal | |
| Enhance Fluorescence Imaging and Remove Motion Artifacts by Combining Pixel Tracking, Interleaved Acquisition, and Temporal Gating | |
| Christopher Mela1  Yang Liu2  Francis Papay3  | |
| [1] Department of Biomedical Engineering, The University of Akron, Akron, OH, USA;Department of Electrical and Computer Engineering, The University of Iowa, IA City, IA, USA;Dermatology & Plastic Surgery Institute, Cleveland Clinic, Cleveland, OH, USA; | |
| 关键词: Biophotonics; medical photonics; fluorescence imaging; computer vision; optical imaging; image-guided surgery; | |
| DOI : 10.1109/JPHOT.2021.3055809 | |
| 来源: DOAJ | |
【 摘 要 】
Fluorescence imaging has been applied to improving many medical sub-specialties. In a clinical setting, there are motions of the imaging system and patients, as well as a high ambient light background. This presents a challenge for widely using fluorescence imaging systems clinically. In this paper, we present a novel approach combining computer vision and pulsed imaging system for enhanced fluorescence Imaging and motion artifacts removal. Specifically, we use a dense optical flow point tracking regime in conjunction with pulsed fluorescence excitation and interleaved acquisition. The system was characterized with respect to fluorescent detection sensitivity, using a clinically relevant fluorescent environment, and the results were compared to conventional steady-state (DC) fluorescence imaging. We also characterized the system with respect to fluorescence detection accuracy. We demonstrated a 45-fold reduction of motion artifacts by combining pixel tracking and fluorescence pixel identification with pulsed light imaging. Furthermore, the fluorescence imaging signal-to-background ratio is also improved for more than 2-fold. Our results indicate that pixel tracking, temporal gating, and interleaved acquisition can improve fluorescence imaging, especially for uses in realistic clinical settings where there is a high ambient light background.
【 授权许可】
Unknown