Automatic Detection of Directional Lead Orientation in Deep Brain Stimulation using Photon-Counting Detector Computed Tomography: A Phantom Study.

Deep brain stimulation Directional deep brain stimulation Directional leads Photon-counting CT Segmented leads

Journal

Stereotactic and functional neurosurgery
ISSN: 1423-0372
Titre abrégé: Stereotact Funct Neurosurg
Pays: Switzerland
ID NLM: 8902881

Informations de publication

Date de publication:
25 Sep 2024
Historique:
received: 28 06 2024
accepted: 16 08 2024
medline: 26 9 2024
pubmed: 26 9 2024
entrez: 25 9 2024
Statut: aheadofprint

Résumé

Photon-counting detector computed tomography (PCD-CT) represents the next generation of CT technology, offering enhanced capabilities for detecting the orientation of directional leads in deep brain stimulation (DBS). This study aims to refine PCD-CT-based lead orientation determination using an automated method applicable to devices from various manufacturers, addressing current methodological limitations and improving neurosurgical precision. An automated method was developed to ascertain the orientation of directional DBS leads using PCD-CT data and grayscale model fitting for devices from Boston Scientific, Medtronic, and Abbott. A phantom study was conducted to evaluate the precision and accuracy of this method, comparing it with the stripe artifact method across different lead alignments relative to the CT gantry axis. Except for the Medtronic Sensight™ lead, where detection was occasionally unfeasible if aligned normal to the z-axis of the CT gantry, a clinically very unlikely alignment, the lead orientation could be automatically determined regardless of its position. The accuracy and precision of this automated method was comparable to those of the stripe artifact method. PCD-CT enables the automatic determination of lead orientation from leading manufacturers with an accuracy comparable to the stripe artifact method, and it offers the added benefit of being independent of the clinically occurring orientation of the head and, consequently, the lead relative to the CT gantry axis.

Identifiants

pubmed: 39321769
pii: 000541151
doi: 10.1159/000541151
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Informations de copyright

© 2024 S. Karger AG, Basel.

Auteurs

Stefan Hunsche (S)

Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.

Alexandra Hellerbach (A)

Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.

Markus Eichner (M)

Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.

Christoph Panknin (C)

Computed Tomography, Siemens Healthineers AG, Forchheim, Germany.

Sebastian Faby (S)

Computed Tomography, Siemens Healthineers AG, Forchheim, Germany.

Jochen Wirths (J)

Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.

Veerle Visser-Vandewalle (V)

Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.

Harald Treuer (H)

Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.

Dieter Fedders (D)

Department of Radiology and Neuroradiology, Chemnitz Hospital, Chemnitz, Germany.
Department of Radiology, Technical University Dresden, Dresden, Germany.

Classifications MeSH