Sen Ma

US Patent:

20210356544, Nov 18, 2021

Filed:

May 28, 2021

Appl. No.:

17/333829

Inventors:

- Los Angeles CA, US
Anthony Christodoulou - Los Angeles CA, US
Zhaoyang Fan - Hacienda Heights CA, US
Zixin Deng - West Hollywood CA, US
Nan Wang - Los Angeles CA, US
Zhengwei Zhou - Los Angeles CA, US
Sen Ma - Los Angeles CA, US
Christopher Nguyen - Hollywood CA, US
Yibin Xie - West Hollywood CA, US
Jaime Shaw - Los Angeles CA, US

International Classification:

G01R 33/56
A61B 5/055
G01R 33/565

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.

US Patent:

20190346523, Nov 14, 2019

Filed:

May 8, 2019

Appl. No.:

16/406977

Inventors:

- Los Angeles CA, US
Anthony Christodoulou - Los Angeles CA, US
Zhaoyang Fan - Hacienda Heights CA, US
Zixin Deng - West Hollywood CA, US
Nan Wang - Los Angeles CA, US
Zhengwei Zhou - Los Angeles CA, US
Sen Ma - Los Angeles CA, US
Christopher Nguyen - Hollywood CA, US
Yibin Xie - West Hollywood CA, US
Jaime Shaw - Los Angeles CA, US

Assignee:

Cedars-Sinai Medical Center - Los Angeles CA

International Classification:

G01R 33/56
G01R 33/565
A61B 5/055

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.