Abstract
The paradigm of event detection is general enough to be used in a multitude of applications from various domains. In this contribution we describe an improved method to mark the appearance of blood mixed with contrast agent in a sequence of fluoroscopic images of the coronary arteries. This is needed for various computer-vision based technologies aimed at supporting the physician during a Percutaneous Transluminal Coronary Angioplasty (PTCA). PTCA is a surgical intervention conducted for the purpose of reopening blocked coronary arteries. We show how to extract a feature describing the amount of contrast agent present in each fluoroscopic image and how to establish a threshold over this feature, to separate the event of contrast-agent appearing from the normal case, when no contrast agent is present. For this purpose we estimate the likelihood of feature-values given the normal case and decide to mark the event for images whose feature has a very small likelihood. We test our algorithm on a number of sequences acquired in clinical routine.
| Original language | English |
|---|---|
| Title of host publication | 2009 17th European Signal Processing Conference |
| Number of pages | 5 |
| Publisher | IEEE |
| Publication date | 01.08.2009 |
| Pages | 2337-2341 |
| ISBN (Print) | 978-161-7388-76-7 |
| Publication status | Published - 01.08.2009 |
| Event | 17th European Signal Processing Conference - Glasgow, United Kingdom Duration: 24.08.2009 → 28.08.2009 Conference number: 91099 |
