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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...

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Autores principales: Dembek, Till A., Hellerbach, Alexandra, Jergas, Hannah, Eichner, Markus, Wirths, Jochen, Dafsari, Haidar Salimi, Barbe, Michael T., Hunsche, Stefan, Visser-Vandewalle, Veerle, Treuer, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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