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High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation

Intraoperative image-guided surgical navigation for craniospinal procedures has significantly improved accuracy by providing an avenue for the surgeon to visualize underlying internal structures corresponding to the exposed surface anatomy. Despite the obvious benefits of surgical navigation, surgeo...

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Autores principales: Jakubovic, Raphael, Guha, Daipayan, Gupta, Shaurya, Lu, Michael, Jivraj, Jamil, Standish, Beau A., Leung, Michael K., Mariampillai, Adrian, Lee, Kenneth, Siegler, Peter, Skowron, Patryk, Farooq, Hamza, Nguyen, Nhu, Alarcon, Joseph, Deorajh, Ryan, Ramjist, Joel, Ford, Michael, Howard, Peter, Phan, Nicolas, Costa, Leo da, Heyn, Chris, Tan, Gamaliel, George, Rajeesh, Cadotte, David W., Mainprize, Todd, Yee, Albert, Yang, Victor X. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173775/
https://www.ncbi.nlm.nih.gov/pubmed/30291261
http://dx.doi.org/10.1038/s41598-018-32424-z
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author Jakubovic, Raphael
Guha, Daipayan
Gupta, Shaurya
Lu, Michael
Jivraj, Jamil
Standish, Beau A.
Leung, Michael K.
Mariampillai, Adrian
Lee, Kenneth
Siegler, Peter
Skowron, Patryk
Farooq, Hamza
Nguyen, Nhu
Alarcon, Joseph
Deorajh, Ryan
Ramjist, Joel
Ford, Michael
Howard, Peter
Phan, Nicolas
Costa, Leo da
Heyn, Chris
Tan, Gamaliel
George, Rajeesh
Cadotte, David W.
Mainprize, Todd
Yee, Albert
Yang, Victor X. D.
author_facet Jakubovic, Raphael
Guha, Daipayan
Gupta, Shaurya
Lu, Michael
Jivraj, Jamil
Standish, Beau A.
Leung, Michael K.
Mariampillai, Adrian
Lee, Kenneth
Siegler, Peter
Skowron, Patryk
Farooq, Hamza
Nguyen, Nhu
Alarcon, Joseph
Deorajh, Ryan
Ramjist, Joel
Ford, Michael
Howard, Peter
Phan, Nicolas
Costa, Leo da
Heyn, Chris
Tan, Gamaliel
George, Rajeesh
Cadotte, David W.
Mainprize, Todd
Yee, Albert
Yang, Victor X. D.
author_sort Jakubovic, Raphael
collection PubMed
description Intraoperative image-guided surgical navigation for craniospinal procedures has significantly improved accuracy by providing an avenue for the surgeon to visualize underlying internal structures corresponding to the exposed surface anatomy. Despite the obvious benefits of surgical navigation, surgeon adoption remains relatively low due to long setup and registration times, steep learning curves, and workflow disruptions. We introduce an experimental navigation system utilizing optical topographical imaging (OTI) to acquire the 3D surface anatomy of the surgical cavity, enabling visualization of internal structures relative to exposed surface anatomy from registered preoperative images. Our OTI approach includes near instantaneous and accurate optical measurement of >250,000 surface points, computed at >52,000 points-per-second for considerably faster patient registration than commercially available benchmark systems without compromising spatial accuracy. Our experience of 171 human craniospinal surgical procedures, demonstrated significant workflow improvement (41 s vs. 258 s and 794 s, p < 0.05) relative to benchmark navigation systems without compromising surgical accuracy. Our advancements provide the cornerstone for widespread adoption of image guidance technologies for faster and safer surgeries without intraoperative CT or MRI scans. This work represents a major workflow improvement for navigated craniospinal procedures with possible extension to other image-guided applications.
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spelling pubmed-61737752018-10-09 High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation Jakubovic, Raphael Guha, Daipayan Gupta, Shaurya Lu, Michael Jivraj, Jamil Standish, Beau A. Leung, Michael K. Mariampillai, Adrian Lee, Kenneth Siegler, Peter Skowron, Patryk Farooq, Hamza Nguyen, Nhu Alarcon, Joseph Deorajh, Ryan Ramjist, Joel Ford, Michael Howard, Peter Phan, Nicolas Costa, Leo da Heyn, Chris Tan, Gamaliel George, Rajeesh Cadotte, David W. Mainprize, Todd Yee, Albert Yang, Victor X. D. Sci Rep Article Intraoperative image-guided surgical navigation for craniospinal procedures has significantly improved accuracy by providing an avenue for the surgeon to visualize underlying internal structures corresponding to the exposed surface anatomy. Despite the obvious benefits of surgical navigation, surgeon adoption remains relatively low due to long setup and registration times, steep learning curves, and workflow disruptions. We introduce an experimental navigation system utilizing optical topographical imaging (OTI) to acquire the 3D surface anatomy of the surgical cavity, enabling visualization of internal structures relative to exposed surface anatomy from registered preoperative images. Our OTI approach includes near instantaneous and accurate optical measurement of >250,000 surface points, computed at >52,000 points-per-second for considerably faster patient registration than commercially available benchmark systems without compromising spatial accuracy. Our experience of 171 human craniospinal surgical procedures, demonstrated significant workflow improvement (41 s vs. 258 s and 794 s, p < 0.05) relative to benchmark navigation systems without compromising surgical accuracy. Our advancements provide the cornerstone for widespread adoption of image guidance technologies for faster and safer surgeries without intraoperative CT or MRI scans. This work represents a major workflow improvement for navigated craniospinal procedures with possible extension to other image-guided applications. Nature Publishing Group UK 2018-10-05 /pmc/articles/PMC6173775/ /pubmed/30291261 http://dx.doi.org/10.1038/s41598-018-32424-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jakubovic, Raphael
Guha, Daipayan
Gupta, Shaurya
Lu, Michael
Jivraj, Jamil
Standish, Beau A.
Leung, Michael K.
Mariampillai, Adrian
Lee, Kenneth
Siegler, Peter
Skowron, Patryk
Farooq, Hamza
Nguyen, Nhu
Alarcon, Joseph
Deorajh, Ryan
Ramjist, Joel
Ford, Michael
Howard, Peter
Phan, Nicolas
Costa, Leo da
Heyn, Chris
Tan, Gamaliel
George, Rajeesh
Cadotte, David W.
Mainprize, Todd
Yee, Albert
Yang, Victor X. D.
High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation
title High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation
title_full High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation
title_fullStr High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation
title_full_unstemmed High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation
title_short High Speed, High Density Intraoperative 3D Optical Topographical Imaging with Efficient Registration to MRI and CT for Craniospinal Surgical Navigation
title_sort high speed, high density intraoperative 3d optical topographical imaging with efficient registration to mri and ct for craniospinal surgical navigation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173775/
https://www.ncbi.nlm.nih.gov/pubmed/30291261
http://dx.doi.org/10.1038/s41598-018-32424-z
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