Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network

Procedia Computer Science

Volumn 90, Issue , 2016, Pages 54-60

  Bonaldi, Lorenza ^a   Menti, Elisa ^a   Ballerini, Lucia ^b   Ruggeri, Alfredo ^c   Trucco, Emanuele ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c UNIVERSITY OF PADOVA   (Italy)

Author keywords

Shape; Synthetic Retinal Images; Texture; Validation

Indexed keywords

IMAGE UNDERSTANDING; MEDICAL IMAGING; OPHTHALMOLOGY; TEXTURES;

EXAMPLE-BASED METHODS; MORPHOLOGICAL PROPERTIES; QUALITATIVE ASSESSMENTS; RETINAL FUNDUS IMAGES; RETINAL IMAGE; SHAPE; SYNTHETIC VASCULAR NETWORKS; VALIDATION;

IMAGE ANALYSIS;

EID: 84985011735     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2016.07.010     Document Type: Conference Paper

References (18)

1. Y. Yin, M. Adel, and S. Bourennane Retinal vessel segmentation using a probabilistic tracking method Pattern Recognition 45 4 2012 1235 1244
2. Annunziata, R., Garzelli, A., Ballerini, L., Mecocci, A., Trucco, E. Leveraging multiscale hessian-based enhancement with a novel exudate inpainting technique for retinal vessel segmentation. IEEE Journal of Biomedical and Health Informatics 2015;In press.
3. E. Trucco, A. Ruggeri, T. Karnowski, and et al. Validating retinal fundus image analysis algorithms: Issues and a proposal Investigative Ophthalmology & Visual Science 54 5 2013 3546 3559
4. D.L. Collins, A.P. Zijdenbos, V. Kollokian, J.G. Sled, N.J. Kabani, C.J. Holmes, and et al. Design and construction of a realistic digital brain phantom IEEE Transactions on Medical Imaging 17 3 1998 463 468
5. A. Lehmussola, P. Ruusuvuori, J. Selinummi, H. Huttunen, and O. Yli-Harja Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations IEEE Transactions on Medical Imaging 26 7 2007 1010 1016
6. Fiorini, S., Ballerini, L., Trucco, E., Ruggeri, A. Automatic generation of synthetic retinal fundus images. In: Medical Image Understanding and Analysis (MIUA). 2014, p. 7-12.
7. J. Odstrcilik, R. Kolar, A. Budai, and et al. Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database IET Image Processing 7 4 2013 373 383
8. T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham Active shape models-their training and application Computer vision and image understanding 61 1 1995 38 59
9. Trucco, E., Ballerini, L., Relan, D., et al. Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature. In: Proc. IEEE ISSNIP/BRC. 2013, p. 1-4.
10. C.D. Murray The Physiological Principle of Minimum Work Applied to the Angle of Branching of Arteries The Journal of General Physiology 9 6 1926 835 841
11. C.A. Lupascu, D. Tegolo, and E. Trucco Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model Medical Image Analysis 17 8 2013 1164 1180
12. Poletti, E., Veronese, E., Calabrese, M., Bertoldo, A., Grisan, E. Supervised classification of brain tissues through local multi-scale texture analysis by coupling dir and flair mr sequences. vol. 8314. 2012, p. 83142T-83142T-7.
13. R.M. Haralick Statistical and structural approaches to texture Proceedings of the IEEE 67 5 1979 786 804
14. R.E. Kalman A new approach to linear filtering and prediction problems Transactions of the ASME-Journal of Basic Engineering 82 Series D 1960 35 45
15. J. Lowell, A. Hunter, D. Steel, A. Basu, R. Ryder, and R. Kennedy Measurement of Retinal Vessel Widths From Fundus Images Based on 2-D Modeling IEEE Transactions on Medical Imaging 23 10 2004 1196 1204
16. J.E. Bresenham Algorithm for computer control of a digital plotter IBM Syst J 4 1 1965 25 30
17. Trucco, E., Giachetti, A., Ballerini, L., Relan, D., Cavinato, A., MacGillivray, T. Morphometric Measurements of The Retinal Vasculature in Fundus Images with Vampire. In: Lim, J.H., Ong, S.H., Xiong, W., editors. Biomedical Image Understanding, Methods and Applications. John Wiley & Sons, Inc; 2015, p. 91-111.
18. M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. Owen, and et al. Blood vessel segmentation methodologies in retinal images: A survey Computer Methods and Programs in Biomedicine 108 1 2012 407 433