A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction

Medical Image Analysis
György Kovács, András Hajdu

Abstract

The automated processing of retinal images is a widely researched area in medical image analysis. Screening systems based on the automated and accurate recognition of retinopathies enable the earlier diagnosis of diseases like diabetic retinopathy, hypertension and their complications. The segmentation of the vascular system is a crucial task in the field: on the one hand, the accurate extraction of the vessel pixels aids the detection of other anatomical parts (like the optic disc Hoover and Goldbaum, 2003) and lesions (like microaneurysms Sopharak et al., 2013); on the other hand, the geometrical features of the vascular system and their temporal changes are shown to be related to diseases, like the vessel tortuosity to Fabry disease Sodi et al., 2013 and the arteriolar-to-venus (A/V) ratio to hypertension (Pakter et al., 2005). In this study, a novel technique based on template matching and contour reconstruction is proposed for the segmentation of the vasculature. In the template matching step generalized Gabor function based templates are used to extract the center lines of vessels. Then, the intensity characteristics of vessel contours measured in training databases are reconstructed. The method was trained and tested on ...Continue Reading

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Citations

Nov 2, 2016·Computational and Structural Biotechnology Journal·Renátó BesencziAndrás Hajdu
Mar 13, 2017·Journal of Medical Systems·Chetan L SrinidhiJeny Rajan
Jun 18, 2017·IEEE Transactions on Pattern Analysis and Machine Intelligence·Gyorgy Kovacs
Jun 18, 2017·Medical & Biological Engineering & Computing·Joaquim de MouraMarcos Ortega
Mar 25, 2019·Medical & Biological Engineering & Computing·Weihua WangZhangping Hu
Jan 2, 2021·Medical Image Analysis·Muthu Rama Krishnan MookiahEmanuele Trucco
Jan 12, 2021·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Bin WangShengchang Dou
May 1, 2021·International Journal of Computer Assisted Radiology and Surgery·Weilin FuAndreas Maier

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