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Extending bioelectric navigation for displacement and direction detection
PURPOSE: Bioelectric navigation is a navigation modality for minimally invasive endovascular procedures promising non-fluoroscopic navigation. However, the method offers only limited navigation accuracy between anatomical features and expects the tracked catheter to move only in one direction at all...
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/PMC10329621/ https://www.ncbi.nlm.nih.gov/pubmed/37233892 http://dx.doi.org/10.1007/s11548-023-02927-w |
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author | Maier, Heiko Schunkert, Heribert Navab, Nassir |
author_facet | Maier, Heiko Schunkert, Heribert Navab, Nassir |
author_sort | Maier, Heiko |
collection | PubMed |
description | PURPOSE: Bioelectric navigation is a navigation modality for minimally invasive endovascular procedures promising non-fluoroscopic navigation. However, the method offers only limited navigation accuracy between anatomical features and expects the tracked catheter to move only in one direction at all times. We propose to extend bioelectric navigation with additional sensing capabilities, allowing for the estimation of the distance traveled by the catheter, thereby improving accuracy between feature locations and allowing to track also under alternating forward- and backward motion. METHODS: We perform experiments in finite element method (FEM) simulations and in a 3D printed phantom. A solution for estimating the traveled distance using a stationary electrode is proposed, together with an approach on how to evaluate the signals obtained with this additional electrode. We investigate the effects of surrounding tissue conductance on this approach. Finally, the approach is refined in order to mitigate the effects of parallel conductance on the navigation accuracy. RESULTS: The approach allows to estimate the catheter movement direction and the distance traveled. Simulations show absolute errors below 0.89 mm for non-conducting surrounding tissue, but errors up to 60.27 mm when the tissue is electrically conductive. This effect can be mitigated by a more sophisticated modeling (errors up to 33.96 mm). In experiments in a 3D printed phantom, the mean absolute error over 6 catheter paths is 6.3 mm, with standard deviations smaller than or equal to 1.1 mm. CONCLUSIONS: Extending the setup of bioelectric navigation with an additional stationary electrode allows to estimate the distance traveled by the catheter, as well as the movement direction. The effects of parallel conductive tissue could be partially mitigated in simulations, but further research is needed to investigate these effects in real biological tissue, and to bring the introduced errors down to a clinically acceptable level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02927-w. |
format | Online Article Text |
id | pubmed-10329621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-103296212023-07-10 Extending bioelectric navigation for displacement and direction detection Maier, Heiko Schunkert, Heribert Navab, Nassir Int J Comput Assist Radiol Surg Original Article PURPOSE: Bioelectric navigation is a navigation modality for minimally invasive endovascular procedures promising non-fluoroscopic navigation. However, the method offers only limited navigation accuracy between anatomical features and expects the tracked catheter to move only in one direction at all times. We propose to extend bioelectric navigation with additional sensing capabilities, allowing for the estimation of the distance traveled by the catheter, thereby improving accuracy between feature locations and allowing to track also under alternating forward- and backward motion. METHODS: We perform experiments in finite element method (FEM) simulations and in a 3D printed phantom. A solution for estimating the traveled distance using a stationary electrode is proposed, together with an approach on how to evaluate the signals obtained with this additional electrode. We investigate the effects of surrounding tissue conductance on this approach. Finally, the approach is refined in order to mitigate the effects of parallel conductance on the navigation accuracy. RESULTS: The approach allows to estimate the catheter movement direction and the distance traveled. Simulations show absolute errors below 0.89 mm for non-conducting surrounding tissue, but errors up to 60.27 mm when the tissue is electrically conductive. This effect can be mitigated by a more sophisticated modeling (errors up to 33.96 mm). In experiments in a 3D printed phantom, the mean absolute error over 6 catheter paths is 6.3 mm, with standard deviations smaller than or equal to 1.1 mm. CONCLUSIONS: Extending the setup of bioelectric navigation with an additional stationary electrode allows to estimate the distance traveled by the catheter, as well as the movement direction. The effects of parallel conductive tissue could be partially mitigated in simulations, but further research is needed to investigate these effects in real biological tissue, and to bring the introduced errors down to a clinically acceptable level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02927-w. Springer International Publishing 2023-05-26 2023 /pmc/articles/PMC10329621/ /pubmed/37233892 http://dx.doi.org/10.1007/s11548-023-02927-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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 Maier, Heiko Schunkert, Heribert Navab, Nassir Extending bioelectric navigation for displacement and direction detection |
title | Extending bioelectric navigation for displacement and direction detection |
title_full | Extending bioelectric navigation for displacement and direction detection |
title_fullStr | Extending bioelectric navigation for displacement and direction detection |
title_full_unstemmed | Extending bioelectric navigation for displacement and direction detection |
title_short | Extending bioelectric navigation for displacement and direction detection |
title_sort | extending bioelectric navigation for displacement and direction detection |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329621/ https://www.ncbi.nlm.nih.gov/pubmed/37233892 http://dx.doi.org/10.1007/s11548-023-02927-w |
work_keys_str_mv | AT maierheiko extendingbioelectricnavigationfordisplacementanddirectiondetection AT schunkertheribert extendingbioelectricnavigationfordisplacementanddirectiondetection AT navabnassir extendingbioelectricnavigationfordisplacementanddirectiondetection |