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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...

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Detalles Bibliográficos
Autores principales: Chen, Long, Tang, Wen, John, Nigel W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2017
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.
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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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