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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies
verfasst von : Simeon Petkov, Adriana Romero, Xavier Carrillo Suarez, Petia Radeva, Carlo Gatta
Erschienen in: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Verlag: Springer Berlin Heidelberg
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X-ray angiography is the most common imaging modality employed in the diagnosis of coronary diseases prior to or during a catheter-based intervention. The analysis of the patient X-Ray sequence can provide useful information about the degree of arterial stenosis, the myocardial perfusion and other clinical parameters. If the sequence has been acquired to evaluate the perfusion grade, the opacity due to the diaphragm could potentially hinder any kind of visual inspection and make more difficult a computer aided measurements. In this paper we propose an accurate and robust method to automatically identify the diaphragm border in each frame. Quantitative evaluation on a set of 11 sequences shows that the proposed algorithm outperforms previous methods.