Machine learning approach to real-time patient motion monitoring

US11083913B2 · kind B2 · utility

Assignee

• Elekta Limited · CA

Inventors

• Martin Emile Lachaine · Montréal, CA
• Silvain Beriault · Longueuil, CA

Key dates

• Filing date: Oct 25, 2018
• Grant date: Aug 10, 2021
• Expiry date: Mar 15, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Systems and techniques may be used to estimate a patient state during a radiotherapy treatment. For example, a method may include generating a dictionary of expanded potential patient measurements and corresponding potential patient states using a preliminary motion model. The method may include training, using a machine learning technique, a correspondence motion model relating an input patient measurement to an output patient state using the dictionary. The method may include estimating, using a processor, the patient state corresponding to an input image using the correspondence motion model.