Assessment of Retinal Vascular Changes Through Arteriolar-to-Venular Ratio Calculation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Dashtbozorg, B (Autor) Outra; Ana Maria Mendonça (Autor) FEUP; Aurélio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION (ICIAR 2015)

Páginas: 335-343

12th International Conference on Image Analysis and Recognition (ICIAR)

Niagara Falls, CANADA, JUL 22-24, 2015

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00G-SXS

DOI: 10.1007/978-3-319-20801-5_36

Abstract (EN): The Arteriolar-to-Venular Ratio (AVR) is an index used for the early diagnosis of diseases such as diabetes, hypertension or cardiovascular pathologies. This paper presents three automatic approaches for the estimation of the AVR in retinal images that result from the combination of different methodologies in some of the processing phases used for AVR estimation. Each one of these methods includes vessel segmentation, vessel caliber estimation, optic disc detection or segmentation, region of interest determination, vessel classification into arteries and veins and finally AVR calculation. The values produced by the proposed methods on 40 images of the INSPIRE-AVR dataset were compared with a ground-truth obtained by two medical experts using a semi-automated system. The results showed that the measured AVRs are not statistically different from the reference, with mean errors similar to those achieved by the two experts, thus demonstrating the reliability of the herein proposed approach for AVR estimation.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9