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Spine Surgery Supported by Augmented Reality
STUDY DESIGN: A prospective, case-based, observational study. OBJECTIVES: To investigate how microscope-based augmented reality (AR) support can be utilized in various types of spine surgery. METHODS: In 42 spinal procedures (12 intra- and 8 extradural tumors, 7 other intradural lesions, 11 degenera...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263340/ https://www.ncbi.nlm.nih.gov/pubmed/32528805 http://dx.doi.org/10.1177/2192568219868217 |
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author | Carl, Barbara Bopp, Miriam Saß, Benjamin Pojskic, Mirza Voellger, Benjamin Nimsky, Christopher |
author_facet | Carl, Barbara Bopp, Miriam Saß, Benjamin Pojskic, Mirza Voellger, Benjamin Nimsky, Christopher |
author_sort | Carl, Barbara |
collection | PubMed |
description | STUDY DESIGN: A prospective, case-based, observational study. OBJECTIVES: To investigate how microscope-based augmented reality (AR) support can be utilized in various types of spine surgery. METHODS: In 42 spinal procedures (12 intra- and 8 extradural tumors, 7 other intradural lesions, 11 degenerative cases, 2 infections, and 2 deformities) AR was implemented using operating microscope head-up displays (HUDs). Intraoperative low-dose computed tomography was used for automatic registration. Nonlinear image registration was applied to integrate multimodality preoperative images. Target and risk structures displayed by AR were defined in preoperative images by automatic anatomical mapping and additional manual segmentation. RESULTS: AR could be successfully applied in all 42 cases. Low-dose protocols ensured a low radiation exposure for registration scanning (effective dose cervical 0.29 ± 0.17 mSv, thoracic 3.40 ± 2.38 mSv, lumbar 3.05 ± 0.89 mSv). A low registration error (0.87 ± 0.28 mm) resulted in a reliable AR representation with a close matching of visualized objects and reality, distinctly supporting anatomical orientation in the surgical field. Flexible AR visualization applying either the microscope HUD or video superimposition, including the ability to selectively activate objects of interest, as well as different display modes allowed a smooth integration in the surgical workflow, without disturbing the actual procedure. On average, 7.1 ± 4.6 objects were displayed visualizing target and risk structures reliably. CONCLUSIONS: Microscope-based AR can be applied successfully to various kinds of spinal procedures. AR improves anatomical orientation in the surgical field supporting the surgeon, as well as it offers a potential tool for education. |
format | Online Article Text |
id | pubmed-7263340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72633402020-06-10 Spine Surgery Supported by Augmented Reality Carl, Barbara Bopp, Miriam Saß, Benjamin Pojskic, Mirza Voellger, Benjamin Nimsky, Christopher Global Spine J Technology STUDY DESIGN: A prospective, case-based, observational study. OBJECTIVES: To investigate how microscope-based augmented reality (AR) support can be utilized in various types of spine surgery. METHODS: In 42 spinal procedures (12 intra- and 8 extradural tumors, 7 other intradural lesions, 11 degenerative cases, 2 infections, and 2 deformities) AR was implemented using operating microscope head-up displays (HUDs). Intraoperative low-dose computed tomography was used for automatic registration. Nonlinear image registration was applied to integrate multimodality preoperative images. Target and risk structures displayed by AR were defined in preoperative images by automatic anatomical mapping and additional manual segmentation. RESULTS: AR could be successfully applied in all 42 cases. Low-dose protocols ensured a low radiation exposure for registration scanning (effective dose cervical 0.29 ± 0.17 mSv, thoracic 3.40 ± 2.38 mSv, lumbar 3.05 ± 0.89 mSv). A low registration error (0.87 ± 0.28 mm) resulted in a reliable AR representation with a close matching of visualized objects and reality, distinctly supporting anatomical orientation in the surgical field. Flexible AR visualization applying either the microscope HUD or video superimposition, including the ability to selectively activate objects of interest, as well as different display modes allowed a smooth integration in the surgical workflow, without disturbing the actual procedure. On average, 7.1 ± 4.6 objects were displayed visualizing target and risk structures reliably. CONCLUSIONS: Microscope-based AR can be applied successfully to various kinds of spinal procedures. AR improves anatomical orientation in the surgical field supporting the surgeon, as well as it offers a potential tool for education. SAGE Publications 2020-05-28 2020-04 /pmc/articles/PMC7263340/ /pubmed/32528805 http://dx.doi.org/10.1177/2192568219868217 Text en © The Author(s) 2019 https://creativecommons.org/licenses/by-nc-nd/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Technology Carl, Barbara Bopp, Miriam Saß, Benjamin Pojskic, Mirza Voellger, Benjamin Nimsky, Christopher Spine Surgery Supported by Augmented Reality |
title | Spine Surgery Supported by Augmented Reality |
title_full | Spine Surgery Supported by Augmented Reality |
title_fullStr | Spine Surgery Supported by Augmented Reality |
title_full_unstemmed | Spine Surgery Supported by Augmented Reality |
title_short | Spine Surgery Supported by Augmented Reality |
title_sort | spine surgery supported by augmented reality |
topic | Technology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263340/ https://www.ncbi.nlm.nih.gov/pubmed/32528805 http://dx.doi.org/10.1177/2192568219868217 |
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