Patents by Inventor Evan G. Levine

Evan G. Levine 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).

  • Motion robust reconstruction of multi-shot diffusion-weighted images without phase estimation via locally low-rank regularization
    Patent number: 11308661
    Abstract: Multi-shot diffusion-weighted magnetic resonance imaging acquires multiple k-space segments of diffusion-weighted MRI data, estimates reconstructed multi-shot diffusion weighted images, and combines the estimated images to obtain a final reconstructed MRI image. The estimation of images iteratively calculates updated multi-shot images from the multiple k-space segments and current multi-shot images using a convex model without estimating motion-induced phase, constructs multiple locally low-rank spatial-shot matrices from the updated multi-shot images, and calculates current multi-shot images from spatial-shot matrices.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: April 19, 2022
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Bruce L. Daniel, Brian A. Hargreaves, Yuxin Hu, Evan G. Levine
  • Motion robust reconstruction of multi-shot diffusion-weighted images without phase estimation via locally low-rank regularization
    Publication number: 20190355157
    Abstract: Multi-shot diffusion-weighted magnetic resonance imaging acquires multiple k-space segments of diffusion-weighted MRI data, estimates reconstructed multi-shot diffusion weighted images, and combines the estimated images to obtain a final reconstructed MRI image. The estimation of images iteratively calculates updated multi-shot images from the multiple k-space segments and current multi-shot images using a convex model without estimating motion-induced phase, constructs multiple locally low-rank spatial-shot matrices from the updated multi-shot images, and calculates current multi-shot images from spatial-shot matrices.
    Type: Application
    Filed: May 20, 2019
    Publication date: November 21, 2019
    Inventors: Bruce L. Daniel, Brian A. Hargreaves, Yuxin Hu, Evan G. Levine
  • Robust principal component analysis for separation of on and off-resonance in 3D multispectral MRI
    Patent number: 10101424
    Abstract: Accelerated 3D multispectral imaging (MSI) on a magnetic resonance imaging (MRI) system uses phase-encoding in two dimensions and frequency-encoding in the third.
    Type: Grant
    Filed: December 21, 2016
    Date of Patent: October 16, 2018
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Evan G. Levine, Brian A. Hargreaves
  • Robust Principal Component Analysis for Separation of On and Off-resonance in 3D Multispectral MRI
    Publication number: 20180172788
    Abstract: Accelerated 3D multispectral imaging (MSI) on a magnetic resonance imaging (MRI) system uses phase-encoding in two dimensions and frequency-encoding in the third.
    Type: Application
    Filed: December 21, 2016
    Publication date: June 21, 2018
    Inventors: Evan G. Levine, Brian A. Hargreaves