AUTOMATED SYSTEM OF ANALYSIS AND RECOGNITION OF VENTRICULOGRAMS ON THE BASE OF REPAGULAR WAVELET TRANSFORM

Authors

  • Marina Polyakova
  • Victor Krylov
  • Natalia Gulyaeva
  • Tatyana Pruschak

DOI:

https://doi.org/10.47839/ijc.9.4.727

Keywords:

Edge detection, wavelet transform, left ventriculogram.

Abstract

The method of the extraction of the left ventricle contours is developed for ventriculograms which obtained by radiological research of heart with the angiographic system. The proposed method includes the underlining of left ventricle contours through the repagular wavelet transform, that allows to reduce the error of detection of the edge and the area of left ventricle.

References

N. N. Kryukov, E. N. Nikolaevskiy, V. P. Polyakov. Ischemic heart desease (modern aspects of clinic, diagnostics, treatment, prophylaxis, medical rehabilitation, examination). Samara, 2010. 651 p.

K. Suzuki, I. Horiba, N. Sugie, M. Nanki. Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector, IEEE Transactions on Medical Imaging 23(3) (2004). pp. 330-339.

M. V. Polyakova, V. N. Krylov. Classification of methods of the signal semantic wavelet transform for image contour segmentation, Computing 7(1) (2008). pр. 51-57. [4] A. Bravo, M. Vera, R. Medina. Edge detection in ventriculograms using support vector ma-chine classifiers and deformable models, Lecture Notes in Computer Science 4756 (2007). pp. 793-802. [5] P. F. Cohn, J. A. Levin, G. A. Bergeron, R. Gorlin. Reproducibility of the angiographic left ventricular ejection fraction in patients with coronary artery disease. Amer. Heart J. 88 (1974). pp. 713-720.

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Published

2010-12-20

How to Cite

Polyakova, M., Krylov, V., Gulyaeva, N., & Pruschak, T. (2010). AUTOMATED SYSTEM OF ANALYSIS AND RECOGNITION OF VENTRICULOGRAMS ON THE BASE OF REPAGULAR WAVELET TRANSFORM. International Journal of Computing, 9(4), 335-344. https://doi.org/10.47839/ijc.9.4.727

Issue

2010, Volume 9, Issue 4

Section

Articles

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