Patents by Inventor Eric Aliotta

Eric Aliotta 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).

  • Patent number: 11137467
    Abstract: A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints comprising an eddy current constraint for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.
    Type: Grant
    Filed: March 1, 2018
    Date of Patent: October 5, 2021
    Assignee: The Regents of the University of California
    Inventors: Daniel Ennis, Eric Aliotta, Kevin Moulin
  • Patent number: 10677870
    Abstract: A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.
    Type: Grant
    Filed: January 25, 2017
    Date of Patent: June 9, 2020
    Assignee: The Regents of the University of California
    Inventors: Daniel B. Ennis, Eric Aliotta, Holden H. Wu
  • Publication number: 20190377050
    Abstract: A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints comprising an eddy current constraint for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.
    Type: Application
    Filed: March 1, 2018
    Publication date: December 12, 2019
    Inventors: Daniel Ennis, Eric Aliotta, Kevin Moulin
  • Publication number: 20190033410
    Abstract: A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.
    Type: Application
    Filed: January 25, 2017
    Publication date: January 31, 2019
    Inventors: Daniel B. Ennis, Eric Aliotta, Holden H. Wu