Systems and methods of reconstructing magnetic resonance images using deep learning

US12000918B2 · kind B2 · utility

Assignee

• Washington University · US

Inventors

• Hongyu An · Chesterfield, US
• Ulugbek Kamilov · Cambridge, US
• Weijie Gan · Chesterfield, US
• Cihat Eldeniz · Chesterfield, US
• Jiaming Liu · Chesterfield, US

Key dates

• Filing date: Oct 23, 2020
• Grant date: Jun 4, 2024
• Expiry date: Oct 16, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Measurement
• WIPO sector: Instruments

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.