MRI system and method using neural network for detection of patient motion

US10996306B2 · kind B2 · utility

Assignee

• General Electric Company · US

Inventors

• Isabelle Heukensfeldt Jansen · Schenectady, US
• Sangtae Ahn · Guilderland, US
• Christopher Judson Hardy · Niskayuna, US
• Itzik Malkiel · Givatayim, IL
• Rafael Shmuel Brada · Hod HaSharon, IL
• Ron Wein · Ramat HaSharon, IL
• Michael Rotman · Netanya, IL

Key dates

• Filing date: Apr 25, 2019
• Grant date: May 4, 2021
• Expiry date: Jul 3, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V2201/03
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A magnetic resonance imaging (MRI) system includes control and analysis circuitry having programming to acquire magnetic resonance (MR) data using coil elements of the MRI system, analyze the MR data, and reconstruct the MR data into MR sub-images. The system also includes a trained neural network associated with the control and analysis circuitry to transform the MR sub-images into a prediction relating to a presence and extent of motion corruption in the MR sub-images. The programming of the control and analysis circuitry includes instructions to control operations of the MRI system based at least in part on the prediction of the trained neural network.