Abstract| Volume 25, ISSUE 8, SUPPLEMENT , S6-S7, December 2022

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An Indirect Deep Brain Stimulation Targeting Tool Using Salient Anatomical Fiducials

      Deep Brain Stimulation (DBS) of the subthalamic nucleus (STN) is a common treatment of Parkinson's disease (PD), but its optimal therapeutic outcomes and long-term success depend on accurate targeting. STN-DBS targeting is conventionally initiated using consensus coordinates relative to the mid-commissural point (MCP) with refinement using direct imaging. In this study, we develop a machine learning (ML) model that utilizes previously validated and salient x, y, and z coordinates, known as anatomical fiducials (AFIDs), that can be placed within millimeters of accuracy on structural T1w MRI scans to predict STN center location.
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