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Real-time Geometry-Aware Augmented Reality in Minimally Invasive Surgery
Chen, Long Tang, Wen John, Nigel W.
Chen, Long
Tang, Wen
John, Nigel W.
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2017-10-27
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Abstract
The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (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 paper, we present a novel real-time AR framework for MIS that achieves interactive geometric aware augmented reality in endoscopic surgery with stereo views. Our 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 3D mesh is incrementally built by a dense zero mean normalised cross correlation stereo matching method to improve the accuracy of the surface reconstruction. Our 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, our 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.
Citation
Chen, L., Tang, W., & John, N. W. (2017). Real-time Geometry-Aware Augmented Reality in Minimally Invasive Surgery. Healthcare Technology Letters, 4(5), 163-167. http://dx.doi.org/10.1049/htl.2017.0068
Publisher
IET
Journal
HealthCare Technology Letters
Research Unit
DOI
10.1049/htl.2017.0068
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PubMed Central ID
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Article
Language
en
Description
This paper is a postprint of a paper submitted to and accepted for publication in
HealthCare Technology Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
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ISSN
EISSN
2053-3713