Automatic generation of synthetic retinal fundus images: Vascular network

Elisa Menti, Lorenza Bonaldi, Lucia Ballerini, Alfredo Ruggeri, Emanuele Trucco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
269 Downloads (Pure)

Abstract

This work is part of an ongoing project aimed to generate synthetic retinal fundus images. This paper concentrates on the generation of synthetic vascular networks with realistic shape and texture characteristics. An example-based method, the Active Shape Model, is used to synthesize reliable vessels’ shapes. An approach based on Kalman Filtering combined with an extension of a Multiresolution Hermite vascular cross-section model has been developed for the simulation of vessels’ textures. The proposed method is able to generate realistic synthetic vascular networks with morphological properties that guarantee the correct flow of the blood and the oxygenation of the retinal surface as observed with fundus cameras. The validity of our synthetic retinal images is demonstrated by qualitative assessment and quantitative analysis.

Original languageEnglish
Title of host publicationSimulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings
EditorsSotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
PublisherSpringer Verlag
Pages167-176
Number of pages10
Volume9968 LNCS
ISBN (Electronic)9783319466309
ISBN (Print)9783319466293
DOIs
Publication statusPublished - 2016
Event1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece
Duration: 21 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9968 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
CountryGreece
CityAthens
Period21/10/1621/10/16

Keywords

  • Shape
  • Synthetic retinal images
  • Texture
  • Validation

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  • Cite this

    Menti, E., Bonaldi, L., Ballerini, L., Ruggeri, A., & Trucco, E. (2016). Automatic generation of synthetic retinal fundus images: Vascular network. In S. A. Tsaftaris, A. Gooya, A. F. Frangi, & J. L. Prince (Eds.), Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings (Vol. 9968 LNCS, pp. 167-176). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9968 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46630-9_17