Stent marker detection using a learning based classifier in medical imaging

US9119573B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Xiaoguang Lu · Plainsboro, US
• Terrence Chen · Princeton, US
• Thomas Pohl · Holzgerlingen, DE
• Peter Durlak · Erlangen, DE
• Dorin Comaniciu · Princeton Junction, US

Key dates

• Filing date: Dec 6, 2010
• Grant date: Sep 1, 2015
• Expiry date: Jun 29, 2034

Classification

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

Abstract

Stent marker detection is automatically performed. Stent markers in fluoroscopic images or other markers in other types of imaging are detected using a machine-learnt classifier. Hierarchal classification may be used, such as detecting individual markers with one classifier and then detecting groups of markers (e.g., a pair) with a joint classifier. The detection may be performed in a single image and without user indication of a location.