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Real-time geometry-aware augmented reality in minimally invasive surgery
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 informatio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683199/ https://www.ncbi.nlm.nih.gov/pubmed/29184658 http://dx.doi.org/10.1049/htl.2017.0068 |
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author | Chen, Long Tang, Wen John, Nigel W. |
author_facet | Chen, Long Tang, Wen John, Nigel W. |
author_sort | Chen, Long |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5683199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-56831992017-11-28 Real-time geometry-aware augmented reality in minimally invasive surgery Chen, Long Tang, Wen John, Nigel W. Healthc Technol Lett Special Issue on Augmented Environments for Computer-Assisted Interventions 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. The Institution of Engineering and Technology 2017-10-27 /pmc/articles/PMC5683199/ /pubmed/29184658 http://dx.doi.org/10.1049/htl.2017.0068 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
spellingShingle | Special Issue on Augmented Environments for Computer-Assisted Interventions Chen, Long Tang, Wen John, Nigel W. Real-time geometry-aware augmented reality in minimally invasive surgery |
title | Real-time geometry-aware augmented reality in minimally invasive surgery |
title_full | Real-time geometry-aware augmented reality in minimally invasive surgery |
title_fullStr | Real-time geometry-aware augmented reality in minimally invasive surgery |
title_full_unstemmed | Real-time geometry-aware augmented reality in minimally invasive surgery |
title_short | Real-time geometry-aware augmented reality in minimally invasive surgery |
title_sort | real-time geometry-aware augmented reality in minimally invasive surgery |
topic | Special Issue on Augmented Environments for Computer-Assisted Interventions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683199/ https://www.ncbi.nlm.nih.gov/pubmed/29184658 http://dx.doi.org/10.1049/htl.2017.0068 |
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