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Content Provider | IET Digital Library |
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Author | Chen, Long Tang, Wen John, Nigel W. |
Abstract | 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. |
Starting Page | 163 |
Ending Page | 167 |
Page Count | 5 |
Volume Number | 4 |
e-ISSN | 20533713 |
Issue Number | Issue 5, Oct (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/4/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0068 |
Journal | Healthcare Technology Letters |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2017-10-27 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Augmented Reality Biology And Medical Computing Biomedical Imaging/measurement Biomedical Optical Imaging Blood Vessels Computer Vision And Image Processing Technique Endoscopes Endoscopic Surgery Image Reconstruction Medical Image Processing Minimally Invasive Surgery Optical And Laser Radiation Optical, Image And Video Signal Processing Patient Care And Treatment Patient Diagnostic Method And Instrumentation Real Time System Real-time Geometry-aware Augmented Reality Reprojection Error Minimisation Stereo Image Processing Surface Reconstruction Surfactant Three-dimensional Mesh Tumours Vessels Virtual Reality Zero Mean Normalised Cross-correlation Stereo-matching Method |
Content Type | Text |
Resource Type | Article |
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