Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brown, M.S.: Knowledge-based method for segmentation and analysis of lung boundaries in chest x-ray images. Computerized Medical Imaging and Graphics 22, 463–477 (1998)
Condurache, A., Aach, T., Eck, K., Bredno, J., Stehle, T.: Fast and robust diaphragm detection and tracking in cardiac x-ray projection images. In: SPIE MI, vol. 5747, pp. 1766–1775 (2005)
Condurache, A., Aach, T., Kaiser, A., Radke, P.: User-defined ROI tracking of the myocardial blush grade. In: 7th IEEE SSIAI, Denver, CO, March 28-30, pp. 66–70. IEEE Computer Society (2006)
Funabashi, N., Kobayashi, Y., Perlroth, M., Rubin, G.: Coronary artery: quantitative evaluation of normal diameter determined with electron-beam ct compared with cine coronary angiography initial experience. Radiology 226(1), 263–271 (2003)
Gatta, C., Gomez Valencia, J.D., Ciompi, F., Rodriguez Leor, O., Radeva, P.: Toward Robust Myocardial Blush Grade Estimation in Contrast Angiography. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds.) IbPRIA 2009. LNCS, vol. 5524, pp. 249–256. Springer, Heidelberg (2009)
Gil, D., Rodriguez-Leor, O., Radeva, P., Mauri, J.: Myocardial perfusion characterization from contrast angiography spectral distribution. IEEE TMI 27(5), 641–649 (2008)
Henrikson, J.: Completeness and total boundedness of the hausdorff metric. MIT Undergraduate Journal of Mathematics 1, 69–80 (1999)
Liénard, J., Vaillant, R.: Quantitative Tool for the Assessment of Myocardial Perfusion during X-Ray Angiographic Procedures. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 124–133. Springer, Heidelberg (2009)
Lindeberg, T.: Principle for automatic scale selection. Technical report, RIT (1998)
Thompson, R.: A note on restricted maximum likelihood estimation with an alternative outlier model. Journal of the Royal Statistical Society. Series B 47, 53–55 (1985)
van Ginneken, B., et al.: Automatic segmentation of lung fields in chest radiographs. Medical Physics 27(10) (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Petkov, S., Romero, A., Suarez, X.C., Radeva, P., Gatta, C. (2013). Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2012. Lecture Notes in Computer Science, vol 7746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36961-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-36961-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36960-5
Online ISBN: 978-3-642-36961-2
eBook Packages: Computer ScienceComputer Science (R0)