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Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study
PURPOSE: Image fusion merges preoperative computed tomography angiography (CTA) with live fluoroscopy during endovascular procedures to function as an overlay 3D roadmap. However, in most current systems, the registration between imaging modalities is performed manually by vertebral column matching...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363050/ https://www.ncbi.nlm.nih.gov/pubmed/36719561 http://dx.doi.org/10.1007/s11548-023-02832-2 |
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author | Smorenburg, Stefan P. M. Lely, Rutger J. Smit-Ockeloen, Iris Yeung, Kak Khee Hoksbergen, Arjan W. J. |
author_facet | Smorenburg, Stefan P. M. Lely, Rutger J. Smit-Ockeloen, Iris Yeung, Kak Khee Hoksbergen, Arjan W. J. |
author_sort | Smorenburg, Stefan P. M. |
collection | PubMed |
description | PURPOSE: Image fusion merges preoperative computed tomography angiography (CTA) with live fluoroscopy during endovascular procedures to function as an overlay 3D roadmap. However, in most current systems, the registration between imaging modalities is performed manually by vertebral column matching which can be subjective, inaccurate and time consuming depending on experience. Our objective was to evaluate feasibility and accuracy of image-based automated 2D-3D image fusion between preoperative CTA and intraoperative fluoroscopy based on vertebral column matching. METHODS: A single-center study with offline procedure data was conducted in 10 consecutive patients which had endovascular aortic repair in which we evaluated unreleased automated fusion software provided by Philips (Best, the Netherlands). Fluoroscopy and digital subtraction angiography images were collected after the procedures and the vertebral column was fused fully automatically. Primary endpoints were feasibility and accuracy of bone alignment (mm). Secondary endpoint was vascular alignment (mm) between the lowest renal artery orifices. Clinical non-inferiority was defined at a mismatch of < 1 mm. RESULTS: In total, 87 automated measurements and 40 manual measurements were performed on vertebrae T12–L5 in all 10 patients. Manual correction was needed in 3 of the 10 patients due to incomplete visibility of the vertebral edges in the fluoroscopy image. Median difference between automated fusion and manual fusion was 0.1 mm for bone alignment (p = 0.94). The vascular alignment was 4.9 mm (0.7–17.5 mm) for manual and 5.5 mm (1.0–14.0 mm) for automated fusion. This did not improve, due to the presence of stiff wires and stent graft. CONCLUSION: Automated image fusion was feasible when all vertebral edges were visible. Accuracy was non-inferior to manual image fusion regarding bone alignment. Future developments should focus on intraoperative image-based correction of vascular alignment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02832-2. |
format | Online Article Text |
id | pubmed-10363050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-103630502023-07-24 Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study Smorenburg, Stefan P. M. Lely, Rutger J. Smit-Ockeloen, Iris Yeung, Kak Khee Hoksbergen, Arjan W. J. Int J Comput Assist Radiol Surg Original Article PURPOSE: Image fusion merges preoperative computed tomography angiography (CTA) with live fluoroscopy during endovascular procedures to function as an overlay 3D roadmap. However, in most current systems, the registration between imaging modalities is performed manually by vertebral column matching which can be subjective, inaccurate and time consuming depending on experience. Our objective was to evaluate feasibility and accuracy of image-based automated 2D-3D image fusion between preoperative CTA and intraoperative fluoroscopy based on vertebral column matching. METHODS: A single-center study with offline procedure data was conducted in 10 consecutive patients which had endovascular aortic repair in which we evaluated unreleased automated fusion software provided by Philips (Best, the Netherlands). Fluoroscopy and digital subtraction angiography images were collected after the procedures and the vertebral column was fused fully automatically. Primary endpoints were feasibility and accuracy of bone alignment (mm). Secondary endpoint was vascular alignment (mm) between the lowest renal artery orifices. Clinical non-inferiority was defined at a mismatch of < 1 mm. RESULTS: In total, 87 automated measurements and 40 manual measurements were performed on vertebrae T12–L5 in all 10 patients. Manual correction was needed in 3 of the 10 patients due to incomplete visibility of the vertebral edges in the fluoroscopy image. Median difference between automated fusion and manual fusion was 0.1 mm for bone alignment (p = 0.94). The vascular alignment was 4.9 mm (0.7–17.5 mm) for manual and 5.5 mm (1.0–14.0 mm) for automated fusion. This did not improve, due to the presence of stiff wires and stent graft. CONCLUSION: Automated image fusion was feasible when all vertebral edges were visible. Accuracy was non-inferior to manual image fusion regarding bone alignment. Future developments should focus on intraoperative image-based correction of vascular alignment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02832-2. Springer International Publishing 2023-01-31 2023 /pmc/articles/PMC10363050/ /pubmed/36719561 http://dx.doi.org/10.1007/s11548-023-02832-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Smorenburg, Stefan P. M. Lely, Rutger J. Smit-Ockeloen, Iris Yeung, Kak Khee Hoksbergen, Arjan W. J. Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
title | Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
title_full | Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
title_fullStr | Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
title_full_unstemmed | Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
title_short | Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
title_sort | automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363050/ https://www.ncbi.nlm.nih.gov/pubmed/36719561 http://dx.doi.org/10.1007/s11548-023-02832-2 |
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