Magnetic resonance radio frequency pulse design using machine learning

US10302714B2 · kind B2 · utility

Assignee

• Siemens Healthcare Limited · DE

Inventors

• Xiao Chen · Somerville, US
• Mariappan S. Nadar · Plainsboro, US
• Benjamin L. Odry · West New York, US
• Boris Mailhe · Plainsboro, US

Key dates

• Filing date: Sep 15, 2017
• Grant date: May 28, 2019
• Expiry date: Dec 30, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G01R33/543
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

Systems and methods are provided for automatically designing RF pulses using a reinforcement machine-learnt classifier. Data representing an object and a selected outcome is accessed. A reinforcement learnt method identifies the RF pulse sequence that generates a result within a predefined value of the selected outcome. An MRI scanner images the object using the RF pulse sequence.