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A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
Epilepsy surgery is challenging and the use of 3D multimodality image integration (3DMMI) to aid presurgical planning is well-established. Multimodality image integration can be technically demanding, and is underutilised in clinical practice. We have developed a single software platform for image i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927706/ https://www.ncbi.nlm.nih.gov/pubmed/27286266 http://dx.doi.org/10.3791/53450 |
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author | Nowell, Mark Rodionov, Roman Zombori, Gergely Sparks, Rachel Rizzi, Michele Ourselin, Sebastien Miserocchi, Anna McEvoy, Andrew Duncan, John |
author_facet | Nowell, Mark Rodionov, Roman Zombori, Gergely Sparks, Rachel Rizzi, Michele Ourselin, Sebastien Miserocchi, Anna McEvoy, Andrew Duncan, John |
author_sort | Nowell, Mark |
collection | PubMed |
description | Epilepsy surgery is challenging and the use of 3D multimodality image integration (3DMMI) to aid presurgical planning is well-established. Multimodality image integration can be technically demanding, and is underutilised in clinical practice. We have developed a single software platform for image integration, 3D visualization and surgical planning. Here, our pipeline is described in step-by-step fashion, starting with image acquisition, proceeding through image co-registration, manual segmentation, brain and vessel extraction, 3D visualization and manual planning of stereoEEG (SEEG) implantations. With dissemination of the software this pipeline can be reproduced in other centres, allowing other groups to benefit from 3DMMI. We also describe the use of an automated, multi-trajectory planner to generate stereoEEG implantation plans. Preliminary studies suggest this is a rapid, safe and efficacious adjunct for planning SEEG implantations. Finally, a simple solution for the export of plans and models to commercial neuronavigation systems for implementation of plans in the operating theater is described. This software is a valuable tool that can support clinical decision making throughout the epilepsy surgery pathway. |
format | Online Article Text |
id | pubmed-4927706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49277062016-07-12 A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery Nowell, Mark Rodionov, Roman Zombori, Gergely Sparks, Rachel Rizzi, Michele Ourselin, Sebastien Miserocchi, Anna McEvoy, Andrew Duncan, John J Vis Exp Medicine Epilepsy surgery is challenging and the use of 3D multimodality image integration (3DMMI) to aid presurgical planning is well-established. Multimodality image integration can be technically demanding, and is underutilised in clinical practice. We have developed a single software platform for image integration, 3D visualization and surgical planning. Here, our pipeline is described in step-by-step fashion, starting with image acquisition, proceeding through image co-registration, manual segmentation, brain and vessel extraction, 3D visualization and manual planning of stereoEEG (SEEG) implantations. With dissemination of the software this pipeline can be reproduced in other centres, allowing other groups to benefit from 3DMMI. We also describe the use of an automated, multi-trajectory planner to generate stereoEEG implantation plans. Preliminary studies suggest this is a rapid, safe and efficacious adjunct for planning SEEG implantations. Finally, a simple solution for the export of plans and models to commercial neuronavigation systems for implementation of plans in the operating theater is described. This software is a valuable tool that can support clinical decision making throughout the epilepsy surgery pathway. MyJove Corporation 2016-05-20 /pmc/articles/PMC4927706/ /pubmed/27286266 http://dx.doi.org/10.3791/53450 Text en Copyright © 2016, Journal of Visualized Experiments http://creativecommons.org/licenses/by/3.0/us/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 License. To view a copy of this license, visithttp://creativecommons.org/licenses/by/3.0/us/ |
spellingShingle | Medicine Nowell, Mark Rodionov, Roman Zombori, Gergely Sparks, Rachel Rizzi, Michele Ourselin, Sebastien Miserocchi, Anna McEvoy, Andrew Duncan, John A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery |
title | A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery |
title_full | A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery |
title_fullStr | A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery |
title_full_unstemmed | A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery |
title_short | A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery |
title_sort | pipeline for 3d multimodality image integration and computer-assisted planning in epilepsy surgery |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927706/ https://www.ncbi.nlm.nih.gov/pubmed/27286266 http://dx.doi.org/10.3791/53450 |
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