Determining degree of motion using machine learning to improve medical image quality

US11367179B2 · kind B2 · utility

Assignees

• GE Precision Healthcare LLC · US
• Health Care Systems, Inc. · US
• The General Hospital Corporation · US
• The Bringham and Women's Hospital, Inc. · US

Inventors

• Jason A. Polzin · Superior, US
• Bernardo Bizzo · Boston, US
• Bradley Wright · Saint Leonard, US
• John Kirsch · Boston, US
• Pamela Schaefer · Boston, US

Key dates

• Filing date: Sep 30, 2019
• Grant date: Jun 21, 2022
• Expiry date: Feb 26, 2040

Classification

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

Abstract

Systems and techniques for determining degree of motion using machine learning to improve medical image quality are presented. In one example, a system generates, based on a convolutional neural network, motion probability data indicative of a probability distribution of a degree of motion for medical imaging data generated by a medical imaging device. The system also determines motion score data for the medical imaging data based on the motion probability data.