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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.