Universität zu Köln

Hellerbach, Alexandra, Dembek, Till A., Hoevels, Mauritius, Holz, Jasmin A., Gierich, Andreas, Luyken, Klaus, Barbe, Michael T., Wirths, Jochen, Visser-Vandewalle, Veerle and Treuer, Harald (2018). DiODe: Directional Orientation Detection of Segmented Deep Brain Stimulation Leads: A Sequential Algorithm Based on CT Imaging. Stereotact. Funct. Neurosurg., 96 (5). S. 335 - 342. BASEL: KARGER. ISSN 1423-0372

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Abstract

Background: Directional deep brain stimulation (DBS) allows steering the stimulation in an axial direction which offers greater flexibility in programming. However, accurate anatomical visualization of the lead orientation is required for interpreting the observed stimulation effects and to guide programming. Objectives: In this study we aimed to develop and test an accurate and robust algorithm for determining the orientation of segmented electrodes based on standard postoperative CT imaging used in DBS. Methods: Orientation angles of directional leads (Cartesia (TM); Boston Scientific, Marlborough, MA, USA) were determined using CT imaging. Therefore, a sequential algorithm was developed that quantitatively compares the similarity of the observed CT artifacts with calculated artifact patterns based on the lead's orientation marker and a geometric model of the segmented electrodes. Measurements of seven ground truth phantoms and three leads with 60 different configurations of lead implantation and orientation angles were analyzed for validation. Results: The accuracy of the determined electrode orientation angles was -0.6 +/- 1.5 degrees (range: -5.4 to 4.2 degrees). This accuracy proved to be sufficiently high to resolve even subtle differences between individual leads. Conclusions: The presented algorithm is user independent and provides highly accurate results for the orientation of the segmented electrodes for all angular constellations that typically occur in clinical cases. (C) 2018 S. Karger AG, Basel

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hellerbach, Alexandra UNSPECIFIED UNSPECIFIED UNSPECIFIED Dembek, Till A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Hoevels, Mauritius UNSPECIFIED UNSPECIFIED UNSPECIFIED Holz, Jasmin A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Gierich, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Luyken, Klaus UNSPECIFIED UNSPECIFIED UNSPECIFIED Barbe, Michael T. UNSPECIFIED UNSPECIFIED UNSPECIFIED Wirths, Jochen UNSPECIFIED UNSPECIFIED UNSPECIFIED Visser-Vandewalle, Veerle UNSPECIFIED UNSPECIFIED UNSPECIFIED Treuer, Harald UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-199897
DOI:	10.1159/000494738
Journal or Publication Title:	Stereotact. Funct. Neurosurg.
Volume:	96
Number:	5
Page Range:	S. 335 - 342
Date:	2018
Publisher:	KARGER
Place of Publication:	BASEL
ISSN:	1423-0372
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMPUTED-TOMOGRAPHY; ELECTRODES; ARTIFACTS Multiple languages Neurosciences; Neuroimaging; Surgery Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/19989