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DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation
Directional deep brain stimulation (DBS) leads are now widely used, but the orientation of directional leads needs to be taken into account when relating DBS to neuroanatomy. Methods that can reliably and unambiguously determine the orientation of directional DBS leads are needed. In this study, we...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615850/ https://www.ncbi.nlm.nih.gov/pubmed/34827449 http://dx.doi.org/10.3390/brainsci11111450 |
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author | Dembek, Till A. Hellerbach, Alexandra Jergas, Hannah Eichner, Markus Wirths, Jochen Dafsari, Haidar Salimi Barbe, Michael T. Hunsche, Stefan Visser-Vandewalle, Veerle Treuer, Harald |
author_facet | Dembek, Till A. Hellerbach, Alexandra Jergas, Hannah Eichner, Markus Wirths, Jochen Dafsari, Haidar Salimi Barbe, Michael T. Hunsche, Stefan Visser-Vandewalle, Veerle Treuer, Harald |
author_sort | Dembek, Till A. |
collection | PubMed |
description | Directional deep brain stimulation (DBS) leads are now widely used, but the orientation of directional leads needs to be taken into account when relating DBS to neuroanatomy. Methods that can reliably and unambiguously determine the orientation of directional DBS leads are needed. In this study, we provide an enhanced algorithm that determines the orientation of directional DBS leads from postoperative CT scans. To resolve the ambiguity of symmetric CT artifacts, which in the past, limited the orientation detection to two possible solutions, we retrospectively evaluated four different methods in 150 Cartesia™ directional leads, for which the true solution was known from additional X-ray images. The method based on shifts of the center of mass (COM) of the directional marker compared to its expected geometric center correctly resolved the ambiguity in 100% of cases. In conclusion, the DiODe v2 algorithm provides an open-source, fully automated solution for determining the orientation of directional DBS leads. |
format | Online Article Text |
id | pubmed-8615850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86158502021-11-26 DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation Dembek, Till A. Hellerbach, Alexandra Jergas, Hannah Eichner, Markus Wirths, Jochen Dafsari, Haidar Salimi Barbe, Michael T. Hunsche, Stefan Visser-Vandewalle, Veerle Treuer, Harald Brain Sci Communication Directional deep brain stimulation (DBS) leads are now widely used, but the orientation of directional leads needs to be taken into account when relating DBS to neuroanatomy. Methods that can reliably and unambiguously determine the orientation of directional DBS leads are needed. In this study, we provide an enhanced algorithm that determines the orientation of directional DBS leads from postoperative CT scans. To resolve the ambiguity of symmetric CT artifacts, which in the past, limited the orientation detection to two possible solutions, we retrospectively evaluated four different methods in 150 Cartesia™ directional leads, for which the true solution was known from additional X-ray images. The method based on shifts of the center of mass (COM) of the directional marker compared to its expected geometric center correctly resolved the ambiguity in 100% of cases. In conclusion, the DiODe v2 algorithm provides an open-source, fully automated solution for determining the orientation of directional DBS leads. MDPI 2021-10-31 /pmc/articles/PMC8615850/ /pubmed/34827449 http://dx.doi.org/10.3390/brainsci11111450 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Dembek, Till A. Hellerbach, Alexandra Jergas, Hannah Eichner, Markus Wirths, Jochen Dafsari, Haidar Salimi Barbe, Michael T. Hunsche, Stefan Visser-Vandewalle, Veerle Treuer, Harald DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation |
title | DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation |
title_full | DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation |
title_fullStr | DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation |
title_full_unstemmed | DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation |
title_short | DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation |
title_sort | diode v2: unambiguous and fully-automated detection of directional dbs lead orientation |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615850/ https://www.ncbi.nlm.nih.gov/pubmed/34827449 http://dx.doi.org/10.3390/brainsci11111450 |
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