Automatic generation of synthetic retinal fundus images: Vascular network

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

doi:10.1007/978-3-319-46630-9_17

Automatic generation of synthetic retinal fundus images: Vascular network

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

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

355 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 language	English
Title of host publication	Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings
Editors	Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
Publisher	Springer Verlag
Pages	167-176
Number of pages	10
Volume	9968 LNCS
ISBN (Electronic)	9783319466309
ISBN (Print)	9783319466293
DOIs	https://doi.org/10.1007/978-3-319-46630-9_17
Publication status	Published - 2016
Event	1st 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 2016 → 21 Oct 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9968 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	1st 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
Country/Territory	Greece
City	Athens
Period	21/10/16 → 21/10/16

Keywords

Shape
Synthetic retinal images
Texture
Validation

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-46630-9_17

Author Accepted Manuscript
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46630-9_17
Accepted author manuscript, 11.4 MB

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

Menti, Elisa ; Bonaldi, Lorenza ; Ballerini, Lucia et al. / Automatic generation of synthetic retinal fundus images : Vascular network. Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. editor / Sotirios A. Tsaftaris ; Ali Gooya ; Alejandro F. Frangi ; Jerry L. Prince. Vol. 9968 LNCS Springer Verlag, 2016. pp. 167-176 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{743581f659864743a227a8cb34ceb112,

title = "Automatic generation of synthetic retinal fundus images: Vascular network",

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{\textquoteright} 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{\textquoteright} 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.",

keywords = "Shape, Synthetic retinal images, Texture, Validation",

author = "Elisa Menti and Lorenza Bonaldi and Lucia Ballerini and Alfredo Ruggeri and Emanuele Trucco",

year = "2016",

doi = "10.1007/978-3-319-46630-9_17",

language = "English",

isbn = "9783319466293",

volume = "9968 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "167--176",

editor = "Tsaftaris, {Sotirios A.} and Ali Gooya and Frangi, {Alejandro F.} and Prince, {Jerry L.}",

booktitle = "Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings",

address = "Germany",

note = "1st 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 ; Conference date: 21-10-2016 Through 21-10-2016",

}

Menti, E, Bonaldi, L, Ballerini, L, Ruggeri, A & Trucco, E 2016, Automatic generation of synthetic retinal fundus images: Vascular network. in SA Tsaftaris, A Gooya, AF Frangi & JL Prince (eds), Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. vol. 9968 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9968 LNCS, Springer Verlag, pp. 167-176, 1st 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, 21/10/16. https://doi.org/10.1007/978-3-319-46630-9_17

Automatic generation of synthetic retinal fundus images: Vascular network. / Menti, Elisa; Bonaldi, Lorenza; Ballerini, Lucia et al.
Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings. ed. / Sotirios A. Tsaftaris; Ali Gooya; Alejandro F. Frangi; Jerry L. Prince. Vol. 9968 LNCS Springer Verlag, 2016. p. 167-176 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9968 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Automatic generation of synthetic retinal fundus images

T2 - 1st 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

AU - Menti, Elisa

AU - Bonaldi, Lorenza

AU - Ballerini, Lucia

AU - Ruggeri, Alfredo

AU - Trucco, Emanuele

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Shape

KW - Synthetic retinal images

KW - Texture

KW - Validation

UR - http://www.scopus.com/inward/record.url?scp=84994193794&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-46630-9_17

DO - 10.1007/978-3-319-46630-9_17

M3 - Conference contribution

AN - SCOPUS:84994193794

SN - 9783319466293

VL - 9968 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 167

EP - 176

BT - Simulation and Synthesis in Medical Imaging - 1st International Workshop, SASHIMI 2016 held in conjunction with MICCAI 2016, Proceedings

A2 - Tsaftaris, Sotirios A.

A2 - Gooya, Ali

A2 - Frangi, Alejandro F.

A2 - Prince, Jerry L.

PB - Springer Verlag

Y2 - 21 October 2016 through 21 October 2016

ER -

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

Automatic generation of synthetic retinal fundus images: Vascular network

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this