Inproceedings: an article in a conference proceedings.
An active contour-based atlas registration model applied to automatic subthalamic nucleus targeting on MRI: method and validation.
Title of the conference
MICCAI 2008, 11th International Conference on Medical Image Computing and Computer-Assisted Intervention
New York, United-States, September 6-10, 2008
Lecture Notes in Computer Science
Publication types: Evaluation Studies ; Journal Article ; Validation Studies Publication Status: ppublish
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.
Algorithms, Computer Simulation, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Magnetic Resonance Imaging/methods, Models, Anatomic, Models, Neurological, Pattern Recognition, Automated/methods, Reproducibility of Results, Sensitivity and Specificity, Subthalamic Nucleus/anatomy & histology, Subtraction Technique
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