EVENT DETECTION USING LOG-LINEAR MODELS FOR CORONARY CONTRAST AGENT INJECTIONS
Dierck Matern, Alexandru Paul Condurache, Alfred Mertins
2012
Abstract
In this paper, we discuss a method to detect contrast agent injections during Percutaneous Transluminal Coronary Angioplasty that is performed to treat the coronary arteries disease. During this intervention contrast agent is injected to make the vessels visible under X-rays. We aim to detect the moment the injected contrast agent reaches the coronary vessels. For this purpose, we use an algorithm based on log-linear models that are a generalization of Conditional Random Fields and Maximum Entropy Markov Models. We show that this more generally applicable algorithm performs in this case similar to dedicated methods.
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in Harvard Style
Matern D., Condurache A. and Mertins A. (2012). EVENT DETECTION USING LOG-LINEAR MODELS FOR CORONARY CONTRAST AGENT INJECTIONS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 172-179. DOI: 10.5220/0003774101720179
in Bibtex Style
@conference{icpram12,
author={Dierck Matern and Alexandru Paul Condurache and Alfred Mertins},
title={EVENT DETECTION USING LOG-LINEAR MODELS FOR CORONARY CONTRAST AGENT INJECTIONS },
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={172-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003774101720179},
isbn={978-989-8425-99-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - EVENT DETECTION USING LOG-LINEAR MODELS FOR CORONARY CONTRAST AGENT INJECTIONS
SN - 978-989-8425-99-7
AU - Matern D.
AU - Condurache A.
AU - Mertins A.
PY - 2012
SP - 172
EP - 179
DO - 10.5220/0003774101720179