Determination of Bifurcation Angles of the Retinal Vascular Tree through Multiple Orientation Estimation based on Regularized Morphological Openings
Sandra Morales, Álvar-Ginés Legaz-Aparicio, Valery Naranjo, Rafael Verdú-Monedero
2015
Abstract
This paper describes a new approach to compute bifurcation angles in retinal images. This approach is based on the estimation of multiple orientations at each pixel of a gray retinal image. The main orientations are provided by directional openings whose outputs are regularized in order to extend the orientation information to the whole image. The detection of vessel bifurcations is based on the coexistence of two or more than two different main orientations at the same pixel. Once the bifurcations and crossovers has been identified, bifurcation angles are calculated. The proposed procedure of computing bifurcation angles by means of orientation estimation at all pixels of the gray level image is much more stable than those methods which are based on the skeleton of the vascular tree, since a slight variation of a pixel of the skeleton can produce a significant change in the angle value.
References
- Abramoff, M., Garvin, M., and Sonka, M. (2010). Retinal imaging and image analysis. Biomedical Engineering, IEEE Reviews in, 3:169-208.
- Angulo, J., Verdú-Monedero, R., and Morales-Sánchez, J. (2011). Multiscale local multiple orientation estimation using Mathematical Morphology and B-spline interpolation. Proc. of 7th Int. Symposium on Image and Signal Processing and Analysis (ISPA), pages 575 - 578.
- Ardizzone, E., Pirrone, R., Gambino, O., and Radosta, S. (2008). Blood vessels and feature points detection on retinal images. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pages 2246-2249.
- Azzopardi, G. and Petkov, N. (2011). Detection of retinal vascular bifurcations by trainable v4-like filters. CAIP'11 Proc. 14th Int. Conf. on Computer Analysis of Images and Patterns, 1:451-459.
- Azzopardi, G. and Petkov, N. (2013). Automatic detection of vascular bifurcations in segmented retinal images using trainable cosfire filters. In Pattern Recognition Letters, volume 34, pages 922-933.
- Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., and Goldbaum, M. (1989). Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. on Medical Imaging, 8:263-269.
- Gao, X. W., Bharath, A., Stanton, A., Hughes, A., Chapman, N., and Thom, S. (2000). Quantification and characterisation of arteries in retinal images. Computer Methods and Programs in Biomedicine, 63(2):133 - 146.
- Hoover, A., Kouznetsova, V., and Goldbaum, M. (2000). Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Transactions on Medical Imaging, 19(3):203-210.
- Legaz-Aparicio, A. G., Verdú-Monedero, R., MoralesSánchez, J., Larrey-Ruiz, J., and Angulo, J. (2014). Detection of retinal vessel bifurcations by means of multiple orientation estimation based on regularized morphological openings. In XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, volume 41 of IFMBE Proceedings, pages 317-320. Springer International Publishing.
- MacGillivray, T., Perez-Rovira, A., Trucco, E., Chin, K., Giachetti, A., Lupascu, C., Tegolo, D., Wilson, P., Doney, R., Laude, A., and Dhillon, B. (2012). VAMPIRE: Vessel Assessment and Measurement Platform for Images of the Retina. CRC Press.
- Martinez Perez, M., Highes, A., Stanton, A., Thorn, S., Chapman, N., Bharath, A., and Parker, K. (2002). Retinal vascular tree morphology: a semi-automatic quantification. IEEE Trans. on Biomedical Engineering, 49(8):912-917.
- Martínez-Pérez, M. E., Hughes, A., Stanton, A., Thom, S., Bharath, A., and Parker, K. (1999). Scale-space analysis for the characterisation of retinal blood vessels. Medical Image Computing and Computer-Assisted Intervention, pages 90-97.
- Morales, S., Naranjo, V., López-Mir, F., Navea, A., and niz, M. A. (2014). Computer-assisted system for hypertensive risk determination through fundus image processing. In Romero, L. M. R., editor, XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, volume 41 of IFMBE Proceedings, pages 273-276. Springer.
- Soille, P. and Talbot, H. (2001). Directional morphological filtering. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(11):1313-1329.
- Staal, J., Abramoff, M., Niemeijer, M., Viergever, M., and van Ginneken, B. (2004). Ridge-based vessel segmentation in color images of the retina. Medical Imaging, IEEE Transactions on, 23(4):501-509.
- Verdú-Monedero, R., Angulo, J., and Serra, J. (2011). Anisotropic morphological filters with spatiallyvariant structuring elements based on imagedependent gradient fields. IEEE Trans. Image Processing, 20(1):200-212.
- Zana, F. and Klein, J.-C. (2001). Segmentation of vessellike patterns using mathematical morphology and curvature evaluation. IEEE Trans. on Image Processing, 10(7):1010-1019.
Paper Citation
in Harvard Style
Morales S., Legaz-Aparicio Á., Naranjo V. and Verdú-Monedero R. (2015). Determination of Bifurcation Angles of the Retinal Vascular Tree through Multiple Orientation Estimation based on Regularized Morphological Openings . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 126-131. DOI: 10.5220/0005170101260131
in Bibtex Style
@conference{biosignals15,
author={Sandra Morales and Álvar-Ginés Legaz-Aparicio and Valery Naranjo and Rafael Verdú-Monedero},
title={Determination of Bifurcation Angles of the Retinal Vascular Tree through Multiple Orientation Estimation based on Regularized Morphological Openings},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={126-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005170101260131},
isbn={978-989-758-069-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Determination of Bifurcation Angles of the Retinal Vascular Tree through Multiple Orientation Estimation based on Regularized Morphological Openings
SN - 978-989-758-069-7
AU - Morales S.
AU - Legaz-Aparicio Á.
AU - Naranjo V.
AU - Verdú-Monedero R.
PY - 2015
SP - 126
EP - 131
DO - 10.5220/0005170101260131