Other

General Electric Company

Albany Medical College

Julie Pilitsis

Jeffrey Michael Ashe

Gregory A Cole

Ileana Hancu

Gregory Scott Fischer

Suresh Emmanuel Joel

Radhika Madhavan

Marisa DiMarzio

A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.

Systems and methods for predicting optimal deep brain stimulation parameters

A system and method for image guided assisted medical procedures using modular units, such that a controller, under the direction of a computer and imaging device, can be utilized to drive and track low cost, purpose specific manipulators. The system utilizes modular actuators, self tracking, and linkages. The system can be optimized at a low cost for most effectively performing surgical procedures, while reusing the more costly components of the system, e.g. the control, driving, and tracking systems. The system and method may utilize MRI real time guidance during the above procedures.

System and method for robotic surgical intervention in a magnetic resonance imager

Growing community of inventors

Albany, NY, United States of America

Julie Pilitsis