Training a multi-stage network to reconstruct MR images

US11720794B2 · kind B2 · utility

Assignees

• Siemens Healthcare Limited · DE
• The General Hospital Corporation · US

Inventors

• Bryan Clifford · Malden, US
• Thorsten Feiweier · Peising, DE
• Steffen Bollman · Gehofen, DE
• Stephen Farman Cauley · Cambridge, US

Key dates

• Filing date: Feb 18, 2021
• Grant date: Aug 8, 2023
• Expiry date: Feb 13, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2211/424
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A system and method include generation of modified imaging data and modified acquisition parameters of a training example based on the target imaging data and target acquisition parameters of each of a plurality of target examples, and generation, for each training example, of an initial reconstructed image based on the modified imaging data and modified acquisition parameters of the training example. A first network stage of a multi-stage network is trained based on the modified imaging data, modified acquisition parameters and initial reconstructed image of each training example, a first output image is generated for each training example by inputting the modified imaging data, modified acquisition parameters and initial reconstructed image of the training example to the trained first network stage, and a second network stage of the multi-stage network is trained based on the modified imaging data, modified acquisition parameters and first output image of each training example.