Bayesian detection of the fovea in eye fundus angiographies1

Pattern Recognition Letters

Volumn 20, Issue 2, 1999, Pages 229-240

  Ibanez M V ^a   Simo A ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

Bayesian image analysis; Fundus eye angiography; MCMC methods; Random field models

Indexed keywords

ALGORITHMS; ANGIOGRAPHY; COMPUTER VISION; IMAGE ANALYSIS; ITERATIVE METHODS; MARKOV PROCESSES; STATISTICAL METHODS;

FUNDUS EYE ANGIOGRAPHY;

PATTERN RECOGNITION;

EID: 0033076897     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(98)00137-8     Document Type: Article

References (17)

1. Aykroyd R.G., Green P. Global and local priors, and the location of lesions using gamma-camera imagery. Philos. Trans. R. Soc. London, Ser. A. 337:1991;323-342.
2. Besag J. On the statistical analysis of dirty pictures. J. R. Statist. Soc. B. 48:1986;259-302.
3. Chaudhuri S., Chatterjee S., Katz M., Nelson M., Goldbaum M. Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Medical Imaging. 3(3):1989;1-5.
4. Cressie, N., 1993. Statistics for Spatial Data. Wiley Series in Probability and Mathematical Statistics, Wiley, New York.
5. Domingo J., Ayala G., Simó A., De Ves E., Martínez-Costa L., Marco P. Irregular motion recovery in fluorescein angiograms. Pattern Recognition Letters. 18:1997;805-821.
6. Geman S., Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. PAMI. 6:1984;721-741.
7. Geman, S., McClure, D., 1987. Statistical methods for tomographic image reconstruction. In: Proc. 46th Sess. Inst. Stat. Inst. Bulletin ISI, Vol. 52.
8. Green P. Bayesian reconstruction from emission tomography data using a modified em algorithm. IEEE Trans. Medical Imaging. 9:1990;84-93.
9. Guyon, X., 1995. Random Fields on a Network. Modeling Statistics and Applications. Springer, Berlin.
10. Johnson V. A model for segmentation and analysis of noisy images. J. Amer. Statist. Assoc. 89:1994;230-241.
11. Kutka R., Stier S. Extraction of line properties based on direction fields. IEEE Trans. Medical Imaging. 15(1):1996;51-58.
12. Liu, I., Sun, Y., 1993. Recursive tracking of vascular networks in angiograms based on the detection-deletion scheme. IEEE Trans. Medical Imaging 12 (2).
13. Molina R. On the hierarchical bayesian approach to image restoration: applications to astronomical images. IEEE Trans. PAMI. 16:1994;1122-1128.
14. Mollie, A., 1996. Bayesian mapping of disease. In: Gilks, W., Richardson, S., Spiegelhalter, S. (Eds.), Markov Chain Monte Carlo in Practice, Chapter 20. Chapman & Hall, London.
15. Weir I. Fully bayesian reconstruction from single photon emission computed tomography data. J. Amer. Statist. Assoc. 92(437):1997;49-60.
16. Weir, I., Green, P., 1994. Modeling data from single-photon emission computed tomography. In: Mardia, K. (Ed.), Statistics and Images, pp. 313-338.
17. Winkler, G., 1996. Image Analysis, Random Fields Models and Dynamic Monte Carlo Methods. Springer, Berlin.