Patents by Inventor Matthew J. Middione

Matthew J. Middione 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).

  • Artificial intelligence based reconstruction for phase contrast magnetic resonance imaging
    Patent number: 11550014
    Abstract: A method for phase-contrast magnetic resonance imaging (PC-MRI) acquires undersampled PC-MRI data using a magnetic resonance imaging scanner and reconstructs MRI images from the undersampled PC-MRI data by reconstructing a first flow-encoded image using a first convolutional neural network, reconstructing a complex difference image using a second convolutional neural network, combining the complex difference image and the first flow-encoded image to obtain a second flow-encoded image, and generating a velocity encoded image from the first flow-encoded image and second flow-encoded image using phase difference processing.
    Type: Grant
    Filed: February 16, 2022
    Date of Patent: January 10, 2023
    Assignees: The Board of Trustees of the Leland Stanford Junior University, The United States of America as represented by The Department Of Veterans Affairs
    Inventors: Daniel B. Ennis, Matthew J. Middione, Julio A. Oscanoa Aida, Shreyas S. Vasanawala
  • Artificial Intelligence based reconstruction for Phase Contrast Magnetic Resonance Imaging
    Publication number: 20220260660
    Abstract: A method for phase-contrast magnetic resonance imaging (PC-MRI) acquires undersampled PC-MRI data using a magnetic resonance imaging scanner and reconstructs MRI images from the undersampled PC-MRI data by reconstructing a first flow-encoded image using a first convolutional neural network, reconstructing a complex difference image using a second convolutional neural network, combining the complex difference image and the first flow-encoded image to obtain a second flow-encoded image, and generating a velocity encoded image from the first flow-encoded image and second flow-encoded image using phase difference processing.
    Type: Application
    Filed: February 16, 2022
    Publication date: August 18, 2022
    Inventors: Daniel B. Ennis, Matthew J. Middione, Julio A. Oscanoa Aida, Shreyas S. Vasanawala