Abstract #2603

Ultra-High Resolution Atlas-Based Segmentation of GPi for Deep Brain Stimulation in Parkinsons Disease

Maria Ida Iacono¹, Nikos Makris¹, Luca Mainardi², John Gale³, Andre Van Der Kouwe¹, Azma Mareyam¹, Jonathan R. Polimeni¹, Lawrence L. Wald¹, Bruce Fischl¹, Emad N. Eskandar⁴, Giorgio Bonmassar¹

¹Dept. of Radiology,MGH, A. A. Martinos Center for Biomedical Imaging, Charlestow, MA, United States; ²Bioengineering Department, Politecnico di Milano; ³Cleveland Clinic, Department of Neuroscience & Center for Neurological Restoration, Cleveland, OH, United States; ⁴Neurosurgery, Massachusetts General Hospital, Boston, MA, United States

Deep brain stimulation (DBS) of the globus pallidus internus (GPi) proves to significantly improve the motor symptoms of advanced PD. However, GPi is not clearly identifiable in pre-operative MRIs, used routinely in surgical DBS procedures. In this work we propose an atlas-based segmentation procedure based on a ultra-high resolution atlas to outline the GPi on the pre-operative low resolution images of PD patients. Our preliminary results show that a surface non-linear registration procedure based on multiple nuclei improves the accuracy in discriminating the target of interest.