An Active Contour-based Atlas Registration Model for Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation

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.

Publié dans:
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 5242, 980-988
Présenté à:
11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), New York, NY, USA, September 6-10, 2008
New York, NY, USA, Springer Berlin / Heidelberg

 Notice créée le 2008-06-05, modifiée le 2019-03-16

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