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Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement
Cerebrovascular surgery treats vessel abnormalities in the brain and spinal cord, including arteriovenous malformations (AVMs) and aneurysms. These procedures often involve clipping the vessels feeding blood to these abnormalities, making accurate classification of blood vessel types (feeding versus...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222178/ https://www.ncbi.nlm.nih.gov/pubmed/30464846 http://dx.doi.org/10.1049/htl.2018.5069 |
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author | Vassallo, Reid Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming |
author_facet | Vassallo, Reid Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming |
author_sort | Vassallo, Reid |
collection | PubMed |
description | Cerebrovascular surgery treats vessel abnormalities in the brain and spinal cord, including arteriovenous malformations (AVMs) and aneurysms. These procedures often involve clipping the vessels feeding blood to these abnormalities, making accurate classification of blood vessel types (feeding versus draining) important during surgery. Previous work to guide the intraoperative identification of the vessels included augmented reality (AR) using pre-operative images, injected dyes, and Doppler ultrasound, but each with their drawbacks. The authors propose and demonstrate a novel technique to help differentiate vessels by enhancing short videos of a few seconds from the surgical microscope using motion magnification and spectral analysis, and constructing AR views that fuse the analysis results as intuitive colourmaps and the surgical microscopic view. They demonstrated the proposed technique retrospectively with two real cerebrovascular surgical cases: one AVM and one aneurysm. The results showed that the proposed technique can help characterise different vessel types (feeding and draining the abnormality), which agree with those identified by the operating surgeon. |
format | Online Article Text |
id | pubmed-6222178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-62221782018-11-21 Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement Vassallo, Reid Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming Healthc Technol Lett Special Issue: Papers from the 12th Workshop on Augmented Environments for Computer-Assisted Interventions Cerebrovascular surgery treats vessel abnormalities in the brain and spinal cord, including arteriovenous malformations (AVMs) and aneurysms. These procedures often involve clipping the vessels feeding blood to these abnormalities, making accurate classification of blood vessel types (feeding versus draining) important during surgery. Previous work to guide the intraoperative identification of the vessels included augmented reality (AR) using pre-operative images, injected dyes, and Doppler ultrasound, but each with their drawbacks. The authors propose and demonstrate a novel technique to help differentiate vessels by enhancing short videos of a few seconds from the surgical microscope using motion magnification and spectral analysis, and constructing AR views that fuse the analysis results as intuitive colourmaps and the surgical microscopic view. They demonstrated the proposed technique retrospectively with two real cerebrovascular surgical cases: one AVM and one aneurysm. The results showed that the proposed technique can help characterise different vessel types (feeding and draining the abnormality), which agree with those identified by the operating surgeon. The Institution of Engineering and Technology 2018-09-18 /pmc/articles/PMC6222178/ /pubmed/30464846 http://dx.doi.org/10.1049/htl.2018.5069 Text en http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
spellingShingle | Special Issue: Papers from the 12th Workshop on Augmented Environments for Computer-Assisted Interventions Vassallo, Reid Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
title | Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
title_full | Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
title_fullStr | Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
title_full_unstemmed | Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
title_short | Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
title_sort | augmented reality guidance in cerebrovascular surgery using microscopic video enhancement |
topic | Special Issue: Papers from the 12th Workshop on Augmented Environments for Computer-Assisted Interventions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222178/ https://www.ncbi.nlm.nih.gov/pubmed/30464846 http://dx.doi.org/10.1049/htl.2018.5069 |
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