Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading

US9113781B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Michael Wels · Bamberg, DE
• Michael Kelm · Friedberg, DE
• Michael Suehling · Erlangen, DE
• Shaohua Kevin Zhou · Plainsboro, US

Key dates

• Filing date: Feb 7, 2013
• Grant date: Aug 25, 2015
• Expiry date: Aug 1, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V2201/03
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A method and system for on-line learning of landmark detection models for end-user specific diagnostic image reading is disclosed. A selection of a landmark to be detected in a 3D medical image is received. A current landmark detection result for the selected landmark in the 3D medical image is determined by automatically detecting the selected landmark in the 3D medical image using a stored landmark detection model corresponding to the selected landmark or by receiving a manual annotation of the selected landmark in the 3D medical image. The stored landmark detection model corresponding to the selected landmark is then updated based on the current landmark detection result for the selected landmark in the 3D medical image. The landmark selected in the 3D medical image can be a set of landmarks defining a custom view of the 3D medical image.