Document Detail


Semi-automatic stereotactic coordinate identification algorithm for routine localization of Deep Brain Stimulation electrodes.
MedLine Citation:
PMID:  20036691     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Deep Brain Stimulation (DBS) is a routine therapy for movement disorders, and has several emerging indications. We present a novel protocol to define the stereotactic coordinates of metallic DBS implants that may be routinely employed for validating therapeutic anatomical targets. Patients were referred for troubleshooting or new DBS implantation. A volumetric MRI of the brain obtained prior to or during this protocol was formatted to the Anterior Commissure-Posterior Commissure (AC-PC) coordinate system. Patients underwent a CT scan of the brain in an extended Hounsfield unit (EHU) mode. A semi-automatic detection algorithm based on a Normalized Mutual Information (NMI) co-registration method was implemented to measure the AC-PC coordinates of each DBS contact. This algorithm was validated using manual DBS contact identification. Fifty MRI-CT image pairs were available in 39 patients with a total of 336 DBS electrodes. The median and mean Euclidean distance errors for automatic identification of electrode locations were 0.20mm and 0.22 mm, respectively. This method is an accurate method of localization of active DBS contacts within the sub-cortical region. As the investigational indications of DBS expand, this method may be used for verification of final implant coordinates, critical for understanding clinical benefit and comparing efficacy between subjects.
Authors:
Adam O Hebb; Kai J Miller
Publication Detail:
Type:  Journal Article; Validation Studies     Date:  2009-12-29
Journal Detail:
Title:  Journal of neuroscience methods     Volume:  187     ISSN:  1872-678X     ISO Abbreviation:  J. Neurosci. Methods     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-02-15     Completed Date:  2010-05-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7905558     Medline TA:  J Neurosci Methods     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  114-9     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2010 Elsevier B.V. All rights reserved.
Affiliation:
Department of Neurosurgery, University of Washington, Seattle, WA 98195, United States. aohebb@u.washington.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Automation*
Brain / pathology,  radiography
Deep Brain Stimulation / instrumentation*,  methods*
Electrodes, Implanted*
Humans
Information Theory
Magnetic Resonance Imaging
Stereotaxic Techniques*
Tomography, X-Ray Computed / methods

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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