Patents by Inventor Julie Pilitsis

Julie Pilitsis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for predicting optimal deep brain stimulation parameters
    Patent number: 11273310
    Abstract: 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.
    Type: Grant
    Filed: January 22, 2019
    Date of Patent: March 15, 2022
    Assignees: General Electric Company, Albany Medical College
    Inventors: Radhika Madhavan, Jeffrey Ashe, Suresh Joel, Ileana Hancu, Julie Pilitsis, Marisa DiMarzio
  • SYSTEMS AND METHODS FOR PREDICTING OPTIMAL DEEP BRAIN STIMULATION PARAMETERS
    Publication number: 20200230414
    Abstract: 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.
    Type: Application
    Filed: January 22, 2019
    Publication date: July 23, 2020
    Inventors: Radhika Madhavan, Jeffrey Ashe, Suresh Joel, Ileana Hancu, Julie Pilitsis, Marisa DiMarzio