WAVELET BASED EXTRACTION OF BLOOD VESSELS

Hammad Omer, Ali Hojjat

2009

Abstract

An algorithm for the segmentation of blood vessels based on the correlation of different wavelet scales is presented. First the wavelet coefficients are computed for a defined number of scales and then the correlation between the corresponding coefficients of two consecutive scales is computed. The normalized product is used as a reference threshold for retaining original wavelet coefficients. If the normalized product is greater than the corresponding original wavelet coefficient, the original coefficient is retained for image reconstruction by inverse wavelet transform, otherwise the coefficient is changed with zero value. Low frequency wavelet coefficients matrix is not used in image reconstruction process as we want only the edge information. The proposed algorithm is quite general and can be used for the extraction of any type of blood vessels and provides very promising results.

References

  1. M. A.Westenberg and J. B. T. M. Roderdink, “Frequency domain volume rendering by the wavelet X-ray transform,” IEEE Trans. Image Processing, vol.9, pp.1249-1261, July 2000
  2. S. Mallat and W. L. Hwang, “Singularity detection and processing with wavelets”, IEEE Trans .Inform. Theory, vol 3, pp.617-643, Mar.1992
  3. S. Mallat and S. Zhong, “Characterization of signals from multiscale edges”, IEEE Trans.Pattern Anal. Machine Intell., vol.14.pp.710-732, July 1992
  4. Paul Bao and Lei Zhang ,”Noise Reduction for Magnetic Resonance Images via Adaptive Multiscale Products Thresholding”, IEEE Trans. On Medical Imaging, vol.22, No.9, September 2003
  5. A. Witkin, “Scale space filtering”, in Proc. 8th Int.Joint
  6. Conf. Artificial Intell., 1983
  7. Xu Y., Weaver J. B., Healy D. M. and Lu J. Wavelet Transform Domain Filters: A spatially selective noise filtration technique IEEE Trans.Image Process.3 pp. 747-757, 1994
  8. Cemil, Francis, “A Review of Vessel Extraction Techniques and Algorithms”, ACM Computing Surveys, Vol.36, No.2, June 2004, pp.81-121
  9. Guoyi Fu, Ali Hojjat and Alan Colchester, “Wavelet Noise Reduction Based on Energy Features”, ICIAR 2008, pp.75-84
  10. (MRI)", Physics in Medicine and Biology, Vol.52,
  11. pp.3741-3751
Download


Paper Citation


in Harvard Style

Omer H. and Hojjat A. (2009). WAVELET BASED EXTRACTION OF BLOOD VESSELS . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 529-534. DOI: 10.5220/0001558005290534


in Bibtex Style

@conference{biosignals09,
author={Hammad Omer and Ali Hojjat},
title={WAVELET BASED EXTRACTION OF BLOOD VESSELS },
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={529-534},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001558005290534},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - WAVELET BASED EXTRACTION OF BLOOD VESSELS
SN - 978-989-8111-65-4
AU - Omer H.
AU - Hojjat A.
PY - 2009
SP - 529
EP - 534
DO - 10.5220/0001558005290534