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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Auteurs principaux:	Till A. Dembek, Alexandra Hellerbach, Hannah Jergas, Markus Eichner, Jochen Wirths, Haidar Salimi Dafsari, Michael T. Barbe, Stefan Hunsche, Veerle Visser-Vandewalle, Harald Treuer
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	deep brain stimulation (DBS) directional stimulation directional electrodes Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Accès en ligne:	https://doaj.org/article/3befcb6e1fe046b9afd1b3d09b487786
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spelling	oai:doaj.org-article:3befcb6e1fe046b9afd1b3d09b4877862021-11-25T16:57:38ZDiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation10.3390/brainsci111114502076-3425https://doaj.org/article/3befcb6e1fe046b9afd1b3d09b4877862021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3425/11/11/1450https://doaj.org/toc/2076-3425Directional 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.Till A. DembekAlexandra HellerbachHannah JergasMarkus EichnerJochen WirthsHaidar Salimi DafsariMichael T. BarbeStefan HunscheVeerle Visser-VandewalleHarald TreuerMDPI AGarticledeep brain stimulation (DBS)directional stimulationdirectional electrodesNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Sciences, Vol 11, Iss 1450, p 1450 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	deep brain stimulation (DBS) directional stimulation directional electrodes Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	deep brain stimulation (DBS) directional stimulation directional electrodes Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Till A. Dembek Alexandra Hellerbach Hannah Jergas Markus Eichner Jochen Wirths Haidar Salimi Dafsari Michael T. Barbe Stefan Hunsche Veerle Visser-Vandewalle Harald Treuer DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation
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	article
author	Till A. Dembek Alexandra Hellerbach Hannah Jergas Markus Eichner Jochen Wirths Haidar Salimi Dafsari Michael T. Barbe Stefan Hunsche Veerle Visser-Vandewalle Harald Treuer
author_facet	Till A. Dembek Alexandra Hellerbach Hannah Jergas Markus Eichner Jochen Wirths Haidar Salimi Dafsari Michael T. Barbe Stefan Hunsche Veerle Visser-Vandewalle Harald Treuer
author_sort	Till A. Dembek
title	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_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_sort	diode v2: unambiguous and fully-automated detection of directional dbs lead orientation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3befcb6e1fe046b9afd1b3d09b487786
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DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation

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