US 12,148,153 B2
System and method to detect abnormality of subjects directly from MRI k-space data
Ruixing Zhu, Chengdu (CN); Zhizun Zhang, Chengdu (CN); and Hangxuan Li, Chengdu (CN)
Assigned to HANGZHOU WEIYING MEDICAL TECHNOLOGY CO., LTD., Hangzhou (CN)
Filed by CHENGDU YIJIAN MEDICAL TECHNOLOGY CO., LTD, Chengdu (CN)
Filed on Oct. 29, 2021, as Appl. No. 17/513,911.
Claims priority of provisional application 63/107,458, filed on Oct. 30, 2020.
Prior Publication US 2022/0138943 A1, May 5, 2022
Int. Cl. G06T 7/00 (2017.01); G01R 33/483 (2006.01); G01R 33/56 (2006.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G01R 33/4836 (2013.01); G01R 33/56 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2200/04 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system to detect abnormality of subjects directly from magnetic resonance imaging (MRI) k-space data, comprising:
at least one computer hardware processor;
at least one non-transitory computer-readable storage medium; and
at least one computer program stored in the at least one non-transitory computer-readable storage medium and executable on the at least one computer hardware processor, wherein the at least one computer program comprises:
an acquisition module, configured to obtain target MRI k-space data by scanning a subject, wherein the target MRI k-space data are fully-sampled or undersampled or sparse MRI k-space data;
a detection module, configured to obtain and output detection outcome from the target MRI k-space data using detection models; and
a model training module, configured to train the detection models based on training data;
wherein the training data are obtained by simulating k-space data from MRI image datasets of normal subjects and abnormal subjects, or
wherein the training data are obtained by simulating k-space data of normal subjects and abnormal subjects from MRI image datasets of normal subjects.