Title
Cross validation of experts versus registration methods for target localization in deep brain stimulation
Abstract
In the last five years, Deep Brain Stimulation (DBS) has become the most popular and effective surgical technique for the treatment 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.
Year
DOI
Venue
2005
10.1007/11566465_52
MICCAI
Keywords
Field
DocType
cross validation
Modalities,Computer vision,Deep brain stimulation,Pattern recognition,Computer science,Segmentation,Medical imaging,Artificial intelligence,Subthalamic nucleus,Cross-validation
Conference
Volume
Issue
ISSN
8
Pt 1
0302-9743
ISBN
Citations 
PageRank 
3-540-29327-2
3
0.78
References 
Authors
6
8
Name
Order
Citations
PageRank
F. Javier Sánchez Castro1383.73
Claudio Pollo21289.88
Reto Meuli3296107.65
Philippe Maeder48587.82
Meritxell Bach Cuadra532623.59
Olivier Cuisenaire625020.27
Jean-guy Villemure7806.22
Jean-Philippe Thiran82320257.56