Real-time geometry-aware augmented reality in minimally invasive surgery

Healthcare Technology Letters

article

Long Chen¹  Wen Tang¹  Nigel W. John² 

[1] Department of Creative Technology, Bournemouth University;Deaprtment of Computer Science, University of Chester

关键词: endoscopes;    biomedical optical imaging;    augmented reality;    medical image processing;    image reconstruction;    tumours;    blood vessels;    stereo image processing;    real-time systems;    surgery;    real-time geometry-aware augmented reality;    minimally invasive surgery;    endoscopic surgery;    reprojection error minimisation;    three-dimensional mesh;    zero mean normalised cross-correlation stereo-matching method;    surface reconstruction;    tumours;    vessels;   

DOI  :  10.1049/htl.2017.0068

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

The potential of augmented reality (AR) technology to assist minimally invasive surgery (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes. Even with the latest hardware and software technologies, achieving both real-time and accurate augmented information overlay in MIS is still a formidable task. In this Letter, the authors present a novel real-time AR framework for MIS that achieves interactive geometric aware AR in endoscopic surgery with stereo views. The authors’ framework tracks the movement of the endoscopic camera and simultaneously reconstructs a dense geometric mesh of the MIS scene. The movement of the camera is predicted by minimising the re-projection error to achieve a fast tracking performance, while the three-dimensional mesh is incrementally built by a dense zero mean normalised cross-correlation stereo-matching method to improve the accuracy of the surface reconstruction. The proposed system does not require any prior template or pre-operative scan and can infer the geometric information intra-operatively in real time. With the geometric information available, the proposed AR framework is able to interactively add annotations, localisation of tumours and vessels, and measurement labelling with greater precision and accuracy compared with the state-of-the-art approaches.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND