System and method for facilitating dbs electrode trajectory planning
AssigneeAdvanced Neuromodulation Systems, Inc.
InventorsYagna Pathak, Simeng Zhang, Dehan Zhu, Anahita Kyani, Hyun-Joo Park, Erika Ross
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AssigneeAdvanced Neuromodulation Systems, Inc.
InventorsYagna Pathak, Simeng Zhang, Dehan Zhu, Anahita Kyani, Hyun-Joo Park, Erika Ross
Estimating the term…
A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.
A computer-implemented method for identifying targets of interest (TOIs) for deep brain stimulation (DBS), the method comprising:
A computer-implemented system configured to facilitate identifying targets of interest (TOI) for deep brain stimulation (DBS), the system comprising:
Dependencies are inferred from the claim text.