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Proceedings Paper

Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs
Author(s): Ana Maria Mendonça; Beatriz Remeseiro; Behdad Dashtbozorg; Aurélio Campilho
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Paper Abstract

The Arteriolar-to-Venular Ratio (AVR) is a popular dimensionless measure which allows the assessment of patients’ condition for the early diagnosis of different diseases, including hypertension and diabetic retinopathy. This paper presents two new approaches for AVR computation in retinal photographs which include a sequence of automated processing steps: vessel segmentation, caliber measurement, optic disc segmentation, artery/vein classification, region of interest delineation, and AVR calculation. Both approaches have been tested on the INSPIRE-AVR dataset, and compared with a ground-truth provided by two medical specialists. The obtained results demonstrate the reliability of the fully automatic approach which provides AVR ratios very similar to at least one of the observers. Furthermore, the semi-automatic approach, which includes the manual modification of the artery/vein classification if needed, allows to significantly reduce the error to a level below the human error.

Paper Details

Date Published: 3 March 2017
PDF: 7 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101341L (3 March 2017); doi: 10.1117/12.2255096
Show Author Affiliations
Ana Maria Mendonça, Univ. do Porto (Portugal)
INESC TEC (Portugal)
Beatriz Remeseiro, INESC TEC (Portugal)
Behdad Dashtbozorg, Technische Univ. Eindhoven (Netherlands)
Aurélio Campilho, Univ. do Porto (Portugal)
INESC TEC (Portugal)


Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato; Nicholas A. Petrick, Editor(s)

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