Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection

Gavin Robertson; Enrico Pellegrini; Calum Gray; Emanuele Trucco; Tom MacGillivray

Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection

Gavin Robertson^*, Enrico Pellegrini, Calum Gray, Emanuele Trucco, Tom MacGillivray

^*Corresponding author for this work

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

Abstract / Description of output

We explore post-processing of scanning laser ophthalmoscope (SLO) images for the automatic detection of retinal blood vessels. The retinal vasculature is first enhanced using morphological and Gaussian matched filters before a thresholding technique produces a binary vessel map. Such permutations of post-processing techniques are commonly used to achieve unsupervised classification of the vasculature in fundus images, and it is the purpose of this study to investigate their applicability to SLO imaging. We compare the results of vascular detection as performed on SLO and fundus images.

Original language	English
Title of host publication	2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
Editors	PP Rodrigues, M Pechenizkiy, J Gama, RC Correia, J Liu, A Traina, P Lucas, P Soda
Place of Publication	NEW YORK
Publisher	Institute of Electrical and Electronics Engineers
Pages	441-444
Number of pages	4
Publication status	Published - 2013
Event	26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) - Porto, Portugal Duration: 20 Jun 2013 → 22 Jun 2013

Conference

Conference	26th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
Country/Territory	Portugal
Period	20/06/13 → 22/06/13

Keywords / Materials (for Non-textual outputs)

SEGMENTATION
RECONSTRUCTION
STROKE

Cite this

Robertson, G., Pellegrini, E., Gray, C., Trucco, E., & MacGillivray, T. (2013). Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection. In PP. Rodrigues, M. Pechenizkiy, J. Gama, RC. Correia, J. Liu, A. Traina, P. Lucas, & P. Soda (Eds.), 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (pp. 441-444). Institute of Electrical and Electronics Engineers.

Robertson, Gavin ; Pellegrini, Enrico ; Gray, Calum et al. / Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection. 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS). editor / PP Rodrigues ; M Pechenizkiy ; J Gama ; RC Correia ; J Liu ; A Traina ; P Lucas ; P Soda. NEW YORK : Institute of Electrical and Electronics Engineers, 2013. pp. 441-444

@inproceedings{d5e7a752e5db403bb82539fb55417f17,

title = "Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection",

abstract = "We explore post-processing of scanning laser ophthalmoscope (SLO) images for the automatic detection of retinal blood vessels. The retinal vasculature is first enhanced using morphological and Gaussian matched filters before a thresholding technique produces a binary vessel map. Such permutations of post-processing techniques are commonly used to achieve unsupervised classification of the vasculature in fundus images, and it is the purpose of this study to investigate their applicability to SLO imaging. We compare the results of vascular detection as performed on SLO and fundus images.",

keywords = "SEGMENTATION, RECONSTRUCTION, STROKE",

author = "Gavin Robertson and Enrico Pellegrini and Calum Gray and Emanuele Trucco and Tom MacGillivray",

year = "2013",

language = "English",

pages = "441--444",

editor = "PP Rodrigues and M Pechenizkiy and J Gama and RC Correia and J Liu and A Traina and P Lucas and P Soda",

booktitle = "2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)",

publisher = "Institute of Electrical and Electronics Engineers",

note = "26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) ; Conference date: 20-06-2013 Through 22-06-2013",

}

Robertson, G, Pellegrini, E, Gray, C, Trucco, E & MacGillivray, T 2013, Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection. in PP Rodrigues, M Pechenizkiy, J Gama, RC Correia, J Liu, A Traina, P Lucas & P Soda (eds), 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS). Institute of Electrical and Electronics Engineers, NEW YORK, pp. 441-444, 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Portugal, 20/06/13.

Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection. / Robertson, Gavin; Pellegrini, Enrico; Gray, Calum et al.
2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS). ed. / PP Rodrigues; M Pechenizkiy; J Gama; RC Correia; J Liu; A Traina; P Lucas; P Soda. NEW YORK: Institute of Electrical and Electronics Engineers, 2013. p. 441-444.

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

TY - GEN

T1 - Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection

AU - Robertson, Gavin

AU - Pellegrini, Enrico

AU - Gray, Calum

AU - Trucco, Emanuele

AU - MacGillivray, Tom

PY - 2013

Y1 - 2013

N2 - We explore post-processing of scanning laser ophthalmoscope (SLO) images for the automatic detection of retinal blood vessels. The retinal vasculature is first enhanced using morphological and Gaussian matched filters before a thresholding technique produces a binary vessel map. Such permutations of post-processing techniques are commonly used to achieve unsupervised classification of the vasculature in fundus images, and it is the purpose of this study to investigate their applicability to SLO imaging. We compare the results of vascular detection as performed on SLO and fundus images.

AB - We explore post-processing of scanning laser ophthalmoscope (SLO) images for the automatic detection of retinal blood vessels. The retinal vasculature is first enhanced using morphological and Gaussian matched filters before a thresholding technique produces a binary vessel map. Such permutations of post-processing techniques are commonly used to achieve unsupervised classification of the vasculature in fundus images, and it is the purpose of this study to investigate their applicability to SLO imaging. We compare the results of vascular detection as performed on SLO and fundus images.

KW - SEGMENTATION

KW - RECONSTRUCTION

KW - STROKE

M3 - Conference contribution

SP - 441

EP - 444

BT - 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

A2 - Rodrigues, PP

A2 - Pechenizkiy, M

A2 - Gama, J

A2 - Correia, RC

A2 - Liu, J

A2 - Traina, A

A2 - Lucas, P

A2 - Soda, P

PB - Institute of Electrical and Electronics Engineers

CY - NEW YORK

T2 - 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Y2 - 20 June 2013 through 22 June 2013

ER -

Robertson G, Pellegrini E, Gray C, Trucco E, MacGillivray T. Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection. In Rodrigues PP, Pechenizkiy M, Gama J, Correia RC, Liu J, Traina A, Lucas P, Soda P, editors, 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS). NEW YORK: Institute of Electrical and Electronics Engineers. 2013. p. 441-444

Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Fingerprint

Cite this