Task-specific training of reconstruction neural network algorithm for magnetic resonance imaging reconstruction

US12315045B2 · kind B2 · utility

Assignee

• Siemens Healthineers AG · DE

Inventors

• Alexander Preuhs · Erlangen, DE
• Mario Orsini · Grand Rapids, US

Key dates

• Filing date: May 25, 2022
• Grant date: May 27, 2025
• Expiry date: Aug 11, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2210/41
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

In a computer-implemented method of training a reconstruction neural network algorithm used to reconstruct a Magnetic Resonance Imaging (MRI) image, a prediction of training MRI image is determined based on training MRI raw data and using the reconstruction neural network algorithm. A prediction of a presence or absence of the object in the training MRI image is determined based on the prediction of the training MRI image and using an object-detection algorithm. A loss value is determined based on a first difference between the ground truth of the training MRI image and the prediction of the training MRI image, and further based on a second difference between the ground truth of the presence or absence of the object and the prediction of the presence or absence of the object. Weights of the reconstruction neural network algorithm are adjusted based on the loss value and using a training process.