@InProceedings{FrancescoCiompi2013,
author="Francesco Ciompi
and Simone Balocco
and Carles Caus
and Josepa Mauri
and Petia Radeva",
title="Stent shape estimation through a comprehensive interpretation of intravascular ultrasound images",
booktitle="16th International Conference on Medical Image Computing and Computer Assisted Intervention",
year="2013",
publisher="Springer Berlin Heidelberg",
volume="8150",
number="2",
pages="345--352",
abstract="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.",
optnote="MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2258), last updated on Thu, 10 Nov 2016 12:16:41 +0100",
isbn="978-3-642-40762-8",
issn="0302-9743",
doi="10.1007/978-3-642-40763-5_43"
}