Patents by Inventor Mei-Lan Chu

Mei-Lan Chu 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).

  • MRI with repeated K-T-sub-sampling and artifact minimization allowing for free breathing abdominal MRI
    Patent number: 10317499
    Abstract: Methods of processing MRI image data to reduce or eliminate motion-related artifacts in MRI images includes: electronically repeatedly acquiring sets of 2D or 3D k-space data of a target region of a subject using at least one MRI pulse sequence; electronically applying a bootstrapping procedure to produce a large number of images from the acquired k-space data; then electronically evaluating the images produced by the bootstrapping procedure; and electronically identifying an image with a minimal motion-related artifact level from the evaluation of the images produced by the bootstrapping procedure.
    Type: Grant
    Filed: March 25, 2014
    Date of Patent: June 11, 2019
    Assignee: Duke University
    Inventors: Nan-Kuei Chen, Mei-Lan Chu, Allen Song
  • MRI WITH REPEATED K-T -SUB-SAMPLING AND ARTIFACT MINIMIZATION ALLOWING FOR FREE BREATHING ABDOMINAL MRI
    Publication number: 20160003928
    Abstract: Methods of processing MRI image data to reduce or eliminate motion-related artifacts in MRI images includes: electronically repeatedly acquiring sets of 2D or 3D k-space data of a target region of a subject using at least one MRI pulse sequence; electronically applying a bootstrapping procedure to produce a large number of images from the acquired k-space data; then electronically evaluating the images produced by the bootstrapping procedure; and electronically identifying an image with a minimal motion-related artifact level from the evaluation of the images produced by the boot-strapping procedure.
    Type: Application
    Filed: March 25, 2014
    Publication date: January 7, 2016
    Inventors: Nan-Kuei Chen, Mei-Lan Chu, Allen Song