Patents by Inventor Jaime SHAW

Jaime SHAW 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).

  • Low-rank tensor imaging for quantitative MRI
    Patent number: 11796616
    Abstract: A method of performing multidimensional magnetic resonance imaging on a subject comprises collecting imaging data for a region of interest of the subject, the imaging data related to one or more spatially-varying parameters of the subject within the region of interest; collecting auxiliary data for the region of interest in the subject, the auxiliary data related to one or more time-varying parameters of the subject within the region of interest; linking the imaging data and the auxiliary data; and constructing an image tensor with one or more temporal dimensions based on at least a portion of the linked imaging data and at least a portion of the linked auxiliary data.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: October 24, 2023
    Assignee: CEDARS-SINAI MEDICAL CENTER
    Inventors: Debiao Li, Anthony Christodoulou, Zhaoyang Fan, Zixin Deng, Nan Wang, Zhengwei Zhou, Sen Ma, Christopher Nguyen, Yibin Xie, Jaime Shaw
  • LOW-RANK TENSOR IMAGING FOR QUANTITATIVE MRI
    Publication number: 20210356544
    Abstract: A method of performing multidimensional magnetic resonance imaging on a subject comprises collecting imaging data for a region of interest of the subject, the imaging data related to one or more spatially-varying parameters of the subject within the region of interest; collecting auxiliary data for the region of interest in the subject, the auxiliary data related to one or more time-varying parameters of the subject within the region of interest; linking the imaging data and the auxiliary data; and constructing an image tensor with one or more temporal dimensions based on at least a portion of the linked imaging data and at least a portion of the linked auxiliary data.
    Type: Application
    Filed: May 28, 2021
    Publication date: November 18, 2021
    Inventors: Debiao Li, Anthony Christodoulou, Zhaoyang Fan, Zixin Deng, Nan Wang, Zhengwei Zhou, Sen Ma, Christopher Nguyen, Yibin Xie, Jaime Shaw
  • Low-rank tensor imaging for quantitative MRI
    Patent number: 11022666
    Abstract: A method of performing multidimensional magnetic resonance imaging on a subject comprises collecting imaging data for a region of interest of the subject, the imaging data related to one or more spatially-varying parameters of the subject within the region of interest; collecting auxiliary data for the region of interest in the subject, the auxiliary data related to one or more time-varying parameters of the subject within the region of interest; linking the imaging data and the auxiliary data; and constructing an image tensor with one or more temporal dimensions based on at least a portion of the linked imaging data and at least a portion of the linked auxiliary data.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: June 1, 2021
    Assignee: Cedars-Sinai Medical Center
    Inventors: Debiao Li, Anthony Christodoulou, Zhaoyang Fan, Zixin Deng, Nan Wang, Zhengwei Zhou, Sen Ma, Christopher Nguyen, Yibin Xie, Jaime Shaw
  • LOW-RANK TENSOR IMAGING FOR QUANTITATIVE MRI
    Publication number: 20190346523
    Abstract: A method of performing multidimensional magnetic resonance imaging on a subject comprises collecting imaging data for a region of interest of the subject, the imaging data related to one or more spatially-varying parameters of the subject within the region of interest; collecting auxiliary data for the region of interest in the subject, the auxiliary data related to one or more time-varying parameters of the subject within the region of interest; linking the imaging data and the auxiliary data; and constructing an image tensor with one or more temporal dimensions based on at least a portion of the linked imaging data and at least a portion of the linked auxiliary data.
    Type: Application
    Filed: May 8, 2019
    Publication date: November 14, 2019
    Applicant: Cedars-Sinai Medical Center
    Inventors: Debiao Li, Anthony Christodoulou, Zhaoyang Fan, Zixin Deng, Nan Wang, Zhengwei Zhou, Sen Ma, Christopher Nguyen, Yibin Xie, Jaime Shaw
  • Low-rank tensor imaging for multidimensional cardiovascular MRI
    Patent number: 10436871
    Abstract: A new low rank tensor (LRT) imaging strategy/methodology, specifically for quantitative cardiovascular magnetic resonance (CMR) multitasking, includes performing a low-rank tensor image model exploiting image correlation along multiple physiological and physical time dimensions, a non-ECG data acquisition strategy featuring minimal gaps in acquisition and frequent collection of auxiliary subspace training data, and a factored tensor reconstruction approach which enforces the LRT model.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: October 8, 2019
    Assignee: CEDARS-SINAI MEDICAL CENTER
    Inventors: Debiao Li, Anthony G. Christodoulou, Jaime Shaw, Yibin Xie, Christopher Nguyen
  • LOW-RANK TENSOR IMAGING FOR MULTIDIMENSIONAL CARDIOVASCULAR MRI
    Publication number: 20180306882
    Abstract: A new low rank tensor (LRT) imaging strategy/methodology, specifically for quantitative cardiovascular magnetic resonance (CMR) multitasking, includes performing a low-rank tensor image model exploiting image correlation along multiple physiological and physical time dimensions, a non-ECG data acquisition strategy featuring minimal gaps in acquisition and frequent collection of auxiliary subspace training data, and a factored tensor reconstruction approach which enforces the LRT model.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Debiao LI, Anthony G. CHRISTODOULOU, Jaime SHAW, Yibin XIE, Christopher NGUYEN