Event Detection using Log-Linear Models for Coronary Contrast Agent Injections

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.