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Determining blood flow direction from short neurovascular surgical microscope videos
Neurovascular surgery aims to repair diseased or damaged blood vessels in the brain or spine. There are numerous procedures that fall under this category, and in all of them, the direction of blood flow through these vessels is crucial information. Current methods to determine this information intra...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952245/ https://www.ncbi.nlm.nih.gov/pubmed/32038856 http://dx.doi.org/10.1049/htl.2019.0080 |
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author | Vassallo, Reid Rankin, Adam Lownie, Stephen P. Fukuda, Hitoshi Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming |
author_facet | Vassallo, Reid Rankin, Adam Lownie, Stephen P. Fukuda, Hitoshi Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming |
author_sort | Vassallo, Reid |
collection | PubMed |
description | Neurovascular surgery aims to repair diseased or damaged blood vessels in the brain or spine. There are numerous procedures that fall under this category, and in all of them, the direction of blood flow through these vessels is crucial information. Current methods to determine this information intraoperatively include static pre-operative images combined with augmented reality, Doppler ultrasound, and injectable fluorescent dyes. Each of these systems has inherent limitations. This study includes the proposal and preliminary validation of a technique to identify the direction of blood flow through vessels using only video segments of a few seconds acquired from routinely used surgical microscopes. The video is enhanced to reveal subtle colour fluctuations related to blood pulsation, and these rhythmic signals are further analysed in Fourier space to reveal the direction of blood flow. The proposed method was validated using a novel physical phantom and retrospective analysis of surgical videos and demonstrated high accuracy in identifying the direction of blood flow. |
format | Online Article Text |
id | pubmed-6952245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-69522452020-02-07 Determining blood flow direction from short neurovascular surgical microscope videos Vassallo, Reid Rankin, Adam Lownie, Stephen P. Fukuda, Hitoshi Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming Healthc Technol Lett Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions Neurovascular surgery aims to repair diseased or damaged blood vessels in the brain or spine. There are numerous procedures that fall under this category, and in all of them, the direction of blood flow through these vessels is crucial information. Current methods to determine this information intraoperatively include static pre-operative images combined with augmented reality, Doppler ultrasound, and injectable fluorescent dyes. Each of these systems has inherent limitations. This study includes the proposal and preliminary validation of a technique to identify the direction of blood flow through vessels using only video segments of a few seconds acquired from routinely used surgical microscopes. The video is enhanced to reveal subtle colour fluctuations related to blood pulsation, and these rhythmic signals are further analysed in Fourier space to reveal the direction of blood flow. The proposed method was validated using a novel physical phantom and retrospective analysis of surgical videos and demonstrated high accuracy in identifying the direction of blood flow. The Institution of Engineering and Technology 2019-11-26 /pmc/articles/PMC6952245/ /pubmed/32038856 http://dx.doi.org/10.1049/htl.2019.0080 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: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions Vassallo, Reid Rankin, Adam Lownie, Stephen P. Fukuda, Hitoshi Kasuya, Hidetoshi Lo, Benjamin W.Y. Peters, Terry Xiao, Yiming Determining blood flow direction from short neurovascular surgical microscope videos |
title | Determining blood flow direction from short neurovascular surgical microscope videos |
title_full | Determining blood flow direction from short neurovascular surgical microscope videos |
title_fullStr | Determining blood flow direction from short neurovascular surgical microscope videos |
title_full_unstemmed | Determining blood flow direction from short neurovascular surgical microscope videos |
title_short | Determining blood flow direction from short neurovascular surgical microscope videos |
title_sort | determining blood flow direction from short neurovascular surgical microscope videos |
topic | Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952245/ https://www.ncbi.nlm.nih.gov/pubmed/32038856 http://dx.doi.org/10.1049/htl.2019.0080 |
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