Cross validation of experts versus registration methods for target localization in deep brain stimulation.

Détails

ID Serval
serval:BIB_9C508CD26408
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Cross validation of experts versus registration methods for target localization in deep brain stimulation.
Périodique
Medical Image Computing and Computer-Assisted Intervention
Auteur(s)
Sánchez Castro F.J., Pollo C., Meuli R., Maeder P., Cuadra M.B., Cuisenaire O., Villemure J.G., Thiran J.P.
ISSN
0302-9743
Statut éditorial
Publié
Date de publication
2005
Peer-reviewed
Oui
Volume
8
Numéro
1
Pages
417-424
Langue
anglais
Notes
Publication types: Comparative Study ; Evaluation Studies ; Journal Article ; Research Support, Non-U.S. Gov't ; Validation Studies - Publication Status: ppublish
Résumé
In the last five years, Deep Brain Stimulation (DBS) has become the most popular and effective surgical technique for the treatent of Parkinson's disease (PD). The Subthalamic Nucleus (STN) is the usual target involved when applying DBS. Unfortunately, the STN is in general not visible in common medical imaging modalities. Therefore, atlas-based segmentation is commonly considered to locate it in the images. In this paper, we propose a scheme that allows both, to perform a comparison between different registration algorithms and to evaluate their ability to locate the STN automatically. Using this scheme we can evaluate the expert variability against the error of the algorithms and we demonstrate that automatic STN location is possible and as accurate as the methods currently used.
Mots-clé
Deep Brain Stimulation, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Observer Variation, Parkinson Disease, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Therapy, Computer-Assisted
Pubmed
Web of science
Création de la notice
11/04/2008 9:23
Dernière modification de la notice
03/03/2018 19:56
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