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Authors: Algimantas Kriščiukaitis 1 ; Robertas Petrolis 1 ; Daiva Stanislovaitienė 2 and Dalia Žaliunienė 2

Affiliations: 1 Lithuanian University of Health Sciences, Lithuania ; 2 Eye Clinics of Lithuanian University of Health Sciences, Lithuania

Keyword(s): Principal Component Analysis, Eye Fundus Imaging, Drusen, Age Related Macular Degeneration.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Medical Imaging and Diagnosis

Abstract: Efficiency of the patient status monitoring in Age Related Macular Degeneration cases, based on evaluation of morphological properties eye fundus images, can be significantly increased by specific contrast enhancement in the images. Objects of interest - drusen (focal deposits of extracellular debris located between the basal lamina of the retinal pigment epithelium and the inner collagenous layer of Bruch membrane) usually are represented by various intensity but the same unique color in the image. Construction of the optimal color scheme to increase the contrast of drusen can be realized by means of Principal Component Analysis, which transforms original RGB color representation into principal components space. The study demonstrates that proposed method can increase contrast-to-noise ratio of the drusen areas 10-fold or more.

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Paper citation in several formats:
Kriščiukaitis, A.; Petrolis, R.; Stanislovaitienė, D. and Žaliunienė, D. (2014). Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up. In Proceedings of the International Conference on Bioimaging (BIOSTEC 2014) - BIOIMAGING; ISBN 978-989-758-014-7; ISSN 2184-4305, SciTePress, pages 66-69. DOI: 10.5220/0004910500660069

@conference{bioimaging14,
author={Algimantas Kriščiukaitis. and Robertas Petrolis. and Daiva Stanislovaitienė. and Dalia Žaliunienė.},
title={Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up},
booktitle={Proceedings of the International Conference on Bioimaging (BIOSTEC 2014) - BIOIMAGING},
year={2014},
pages={66-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004910500660069},
isbn={978-989-758-014-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioimaging (BIOSTEC 2014) - BIOIMAGING
TI - Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up
SN - 978-989-758-014-7
IS - 2184-4305
AU - Kriščiukaitis, A.
AU - Petrolis, R.
AU - Stanislovaitienė, D.
AU - Žaliunienė, D.
PY - 2014
SP - 66
EP - 69
DO - 10.5220/0004910500660069
PB - SciTePress