Invention Grant
- Patent Title: Systems and methods of reconstructing magnetic resonance images using deep learning
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Application No.: US17079177Application Date: 2020-10-23
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Publication No.: US12000918B2Publication Date: 2024-06-04
- Inventor: Hongyu An , Ulugbek Kamilov , Weijie Gan , Cihat Eldeniz , Jiaming Liu
- Applicant: Hongyu An , Ulugbek Kamilov , Weijie Gan , Cihat Eldeniz , Jiaming Liu
- Applicant Address: US MO St. Louis
- Assignee: Washington University
- Current Assignee: Washington University
- Current Assignee Address: US MO St. Louis
- Agency: Armstrong Teasdale LLP
- Main IPC: G01R33/56
- IPC: G01R33/56 ; G01R33/48 ; G01R33/567 ; G06T7/00

Abstract:
A computer-implemented method of reconstructing magnetic resonance (MR) images of a subject is provided. The method includes executing a neural network model for analyzing MR images, wherein the neural network model is trained with a first subset of training MR images as inputs and a second subset of the training MR images as outputs, wherein each image in the first subset is acquired during a neighboring respiratory phase of at least one of the images in the second subset. The method further includes receiving MR signals, reconstructing crude MR images based on the MR signals, analyzing the crude MR images using the neural network model, deriving clear MR images based on the analysis, wherein the clear MR images include reduced artifacts, compared to the crude MR images, and outputting the clear MR images.
Public/Granted literature
- US20210123999A1 SYSTEMS AND METHODS OF RECONSTRUCTING MAGNETIC RESONANCE IMAGES USING DEEP LEARNING Public/Granted day:2021-04-29
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