Automatic localization of Deep Stimulation Electrodes using trajectory-based segmentation approach

Abstract

Parkinson's disease (PD) is a degenerative condition of the nervous system, which manifests itself primarily as muscle stiffness, hypokinesia, bradykinesia, and tremor. In patients suffering from advanced stages of PD, Deep Brain Stimulation neurosurgery (DBS) is the best alternative to medical treatment, especially when they become tolerant to the drugs. This surgery produces a neuronal activity, a result of electrical stimulation, whose quantifcation is known as Volume of Tissue Activated (VTA). To locate the VTA correctly in the cerebral volume space, one should be aware of exactly the location on the tip of the DBS electrodes, as well as their spatial projection. In this paper, we automatically locate DBS electrodes using a thresholdbased medical imaging segmentation methodology, determining the optimal value of this threshold adaptively. The proposed method allows the localization of DBS electrodes in Computed Tomography (CT) images, with high noise tolerance, using automatic threshold detection methods.