Title
An active contour-based atlas registration model applied to automatic subthalamic nucleus targeting on MRI: method and validation.
Abstract
This paper presents a new non parametric atlas registration framework, derived from the optical flow model and the active contour theory, applied to automatic subthalamic nucleus (STN) targeting in deep brain stimulation (DBS) surgery. In a previous work, we demonstrated that the STN position can be predicted based on the position of surrounding visible structures, namely the lateral and third ventricles. A STN targeting process can thus be obtained by registering these structures of interest between a brain atlas and the patient image. Here we aim to improve the results of the state of the art targeting methods and at the same time to reduce the computational time. Our simultaneous segmentation and registration model shows mean STN localization errors statistically similar to the most performing registration algorithms tested so far and to the targeting expert's variability. Moreover, the computational time of our registration method is much lower, which is a worthwhile improvement from a clinical point of view.
Year
DOI
Venue
2008
10.1007/978-3-540-85990-1_118
medical image computing and computer-assisted intervention
Keywords
Field
DocType
registration method,computational time,registration model shows,deep brain stimulation,stn position,optical flow model,stn localization error,brain atlas,registration framework,active contour-based atlas registration,model applied,automatic subthalamic,new non parametric atlas
Active contour model,Deep brain stimulation,Computer vision,Brain atlas,Pattern recognition,Segmentation,Computer science,Atlas (anatomy),Artificial intelligence,Optical flow,Subthalamic nucleus
Conference
Volume
Issue
ISSN
11
Pt 2
0302-9743
Citations 
PageRank 
References 
6
0.62
9
Authors
6
Name
Order
Citations
PageRank
Valerie Duay11299.53
Xavier Bresson2184268.08
F. Javier Sánchez Castro3383.73
Claudio Pollo41289.88
Meritxell Bach Cuadra532623.59
Jean-Philippe Thiran62320257.56