Automatic change detection in medical images

US10699410B2 · kind B2 · utility

Assignee

• Siemes Healthcare GmbH · DE

Inventors

• Thomas Pheiffer · Langhorne, US
• Shun Miao · Plainsboro, US
• Rui Liao · Princeton Junction, US
• Pavlo Dyban · Forchheim, DE
• Michael Suehling · Erlangen, DE
• Tommaso Mansi · Plainsboro, US

Key dates

• Filing date: Jul 6, 2018
• Grant date: Jun 30, 2020
• Expiry date: Nov 8, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30061
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Systems and methods are provided for identifying pathological changes in follow up medical images. Reference image data is acquired. Follow up image data is acquired. A deformation field is generated for the reference image data and the follow up data using a machine-learned network trained to generate deformation fields describing healthy, anatomical deformation between input reference image data and input follow up image data. The reference image data and the follow up image data are aligned using the deformation field. The co-aligned reference image data and follow up image data are analyzed for changes due to pathological phenomena.