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Intraoperative Optical Imaging with Distance-Aware RGB-Fluorescence Image Registration
Conference proceeding

Intraoperative Optical Imaging with Distance-Aware RGB-Fluorescence Image Registration

Maziyar Askari, Wei Chen, Francis Papay and Yang Liu
2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp.1-6
06/23/2021
DOI: 10.1109/MeMeA52024.2021.9478591

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Abstract

The wide adoption of fluorescence imaging in various surgical subspecialties has led to the rapid development of fluorescence-guided surgery (FGS) in recent years. Due to the intrinsic nature of Near-Infrared imaging as a functional imaging modality, structural features and details are often degraded or largely lacking in NIR fluorescence images. Accurate and robust registration of color and fluorescence imageries is key for integrated functional/structural surgical guidance. In this study, we have demonstrated the feasibility of dynamic distance-aware RGB-fluorescence image registration across different working distances. Different from conventional feature-based registration methods, our method does not rely on mutual features across different optical imaging modalities. Compared to conventional optics-based methods, the proposed system facilitates wearable imaging systems and handheld imaging applications in surgical settings. We have demonstrated the potential of this method in intraoperative imaging in a biological model.
Computer Vision Surgery Biological system modeling Biomedical optical imaging fluorescence imaging Image color analysis Image registration Imaging intraoperative imaging multimodal imaging Prototypes

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