3D brain atlas reconstruction using deformable medical image registration: Application to deep brain stimulation surgery

Abstract

In deep brain stimulation surgery the most important step is the correct location of the neurostimulator device. Here, the medical specialist needs to robustly locate the basal ganglia area (i.e. subthalamic nucleus) to implant the neurostim-ulator. 3D brain atlas reconstruction methods have become in useful tools for building image guide surgery systems due to the benefits for 3D brain structure location in an interactive way. In this paper we proposes a 3D brain atlas reconstruction using deformable medical image registration for applications in deep brain stimulation surgeries. To quantitatively evaluate the performance of the registration process, we vary the registration parameters such as optimizers, similarity metrics and interpolators. The experimental results shows that deformable image registration in 3D medical images can efficiently reconstructs a 3D brain atlas from volumetric data previously labeled (Brain atlas labeled for a baseline patient) and can be used in image guide surgery systems.