Automated cancer detection using MRI

US10215830B2 · kind B2 · utility

Assignee

• The United States of America, as represented by the Secretary, Department of Health and Human Services · US

Inventors

• Jin Tae Kwak · Champaign, US
• Bradford Johns Wood · Potomac, US
• Sheng Xu · Katy, US
• Baris Turkbey · Rockville, US
• Peter Choyke · Rockville, US
• Peter A Pinto · Bethesda, US
• Ronald M. Summers · Potomac, US

Key dates

• Filing date: Dec 16, 2015
• Grant date: Feb 26, 2019
• Expiry date: Jan 2, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30081
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

Methods and systems for diagnosing cancer in the prostate and other organs are disclosed. Exemplary methods comprises extracting texture information from MRI imaging data for a target organ, sometimes using two or more different imaging modalities. Texture features are determined that are indicative of cancer by identifying frequent texture patterns. A classification model is generated based on the determined texture features that are indicative of cancer, and diagnostic cancer prediction information for the target organ is then generated to help diagnose cancer in the organ.