Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network

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 vessel...

Full description

Saved in:
Bibliographic Details
Published inSimulation and Synthesis in Medical Imaging Vol. 9968; pp. 167 - 176
Main Authors Menti, Elisa, Bonaldi, Lorenza, Ballerini, Lucia, Ruggeri, Alfredo, Trucco, Emanuele
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
3D graphics & modelling
Image processing
Pattern recognition
Shape
Synthetic retinal images
Texture
Validation
Online AccessGet full text
ISBN3319466291
9783319466293
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-46630-9_17

Cover

More Information
Summary: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.
ISBN:3319466291
9783319466293
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-46630-9_17