Automated segmentation of tissue in magnetic resonance imaging

US11675039B2 · kind B2 · utility

Assignee

• University of Louisville Research Foundation, Inc. · US

Inventors

• Ayman S. El-Baz · Louisville, US
• Susan J. Harkema · Louisville, US
• Enrico Rejc · Louisville, US
• Ahmed Shalaby · Louisville, US
• Samineh Mesbah · Louisville, US

Key dates

• Filing date: Dec 10, 2018
• Grant date: Jun 13, 2023
• Expiry date: Nov 20, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/50
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.