Hierarchical motion modeling from dynamic magnetic resonance imaging

US12207911B2 · kind B2 · utility

Assignee

• THE REGENTS OF THE UNIVERSITY OF MICHIGAN · US

Inventors

• James Balter · Ann Arbor, US
• Yue Cao · Vienna, US
• Lianli Liu · Ann Arbor, US
• Adam JOHANSSON · Sandviken, SE

Key dates

• Filing date: Jun 30, 2021
• Grant date: Jan 28, 2025
• Expiry date: Oct 22, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/10088
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

The following relates generally to motion prediction in magnetic resonance (MR) imaging. In some embodiments, a “modular” approach is taken to motion correction. That is, individual motion sources (e.g., a patient's breathing, heartbeat, stomach contractions, peristalsis, and so forth) are accounted for individually in the motion correction. In some embodiments, to correct for a particular motion source, a reference state is created from a volume of interest (VOI), and other states are created and deformably aligned to the reference state.