Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images

Autor:	Carles Caus, Simone Balocco, Petia Radeva, Josepa Mauri, Francesco Ciompi
Rok vydání:	2013
Předmět:	medicine.diagnostic_test business.industry Vessel morphology Computer science medicine.medical_treatment Intravascular ultrasound medicine Stent Computer vision Artificial intelligence business Interpretation (model theory)
Zdroj:	Advanced Information Systems Engineering ISBN: 9783642387081 MICCAI (2)
DOI:	10.1007/978-3-642-40763-5_43
Popis:	We present a method for automatic struts detection and stent shape estimation in cross-sectional intravascular ultrasound images. A stent shape is first estimated through a comprehensive interpretation of the vessel morphology, performed using a supervised context-aware multi-class classification scheme. Then, the successive strut identification exploits both local appearance and the defined stent shape. The method is tested on 589 images obtained from 80 patients, achieving a F-measure of 74.1% and an averaged distance between manual and automatic struts of 0.10 mm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::62da65060f4bec2f9b20d5ee1cc4ac32 https://doi.org/10.1007/978-3-642-40763-5_43 Zobrazit plný text záznamu