Literature DB >> 20515707

Modeling the tortuosity of retinal vessels: does caliber play a role?

Emanuele Trucco1, Hind Azegrouz, Baljean Dhillon.   

Abstract

The tortuosity of retinal blood vessels is a diagnostic parameter assessed by ophthalmologists on the basis of examples and experience; no quantitative model is specified in clinical practice. All quantitative measures proposed to date for automatic image analysis purposes are functions of the curvature of the vessel skeleton. We suggest in this paper that curvature may not be the only quantity involved in modeling tortuosity, and that vessel thickness, or caliber, may also play a role. To support this statement, we devise a novel measure of tortuosity, depending on both curvature and thickness, and test it with 200 vessels selected by our clinical author from the public digital retinal images for vessel extraction database. Results are in good accordance with clinical judgment. Comparative experiments show performance similar to or better than that of four measures reported in the literature. We conclude that there is reasonable evidence supporting the investigation of tortuosity models incorporating more measurements than just skeleton curvature, and specifically vessel caliber.

Mesh:

Year:  2010        PMID: 20515707     DOI: 10.1109/TBME.2010.2050771

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

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Review 2.  Retinal imaging as a source of biomarkers for diagnosis, characterization and prognosis of chronic illness or long-term conditions.

Authors:  T J MacGillivray; E Trucco; J R Cameron; B Dhillon; J G Houston; E J R van Beek
Journal:  Br J Radiol       Date:  2014-06-17       Impact factor: 3.039

3.  Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.

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4.  Retinal changes in visceral leishmaniasis by retinal photography.

Authors:  Richard James Maude; B U M Wahid Ahmed; Abu Hayat Md Waliur Rahman; Ridwanur Rahman; Mohammed Ishaque Majumder; Darryl Braganza Menezes; Abdullah Abu Sayeed; Laura Hughes; Thomas J MacGillivray; Shyamanga Borooah; Baljean Dhillon; Arjen M Dondorp; Mohammad Abul Faiz
Journal:  BMC Infect Dis       Date:  2014-09-30       Impact factor: 3.090

Review 5.  A review on automatic analysis techniques for color fundus photographs.

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6.  Aiding the Diagnosis of Diabetic and Hypertensive Retinopathy Using Artificial Intelligence-Based Semantic Segmentation.

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7.  A Novel Framework for Early Detection of Hypertension using Magnetic Resonance Angiography.

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8.  A novel multiple subdivision-based algorithm for quantitative assessment of retinal vascular tortuosity.

Authors:  Gengyuan Wang; Meng Li; Zhaoqiang Yun; Zhengyu Duan; Ke Ma; Zhongzhou Luo; Peng Xiao; Jin Yuan
Journal:  Exp Biol Med (Maywood)       Date:  2021-07-25

9.  Two-Dimensional Plane for Multi-Scale Quantification of Corneal Subbasal Nerve Tortuosity.

Authors:  Roberto Annunziata; Ahmad Kheirkhah; Shruti Aggarwal; Bernardo M Cavalcanti; Pedram Hamrah; Emanuele Trucco
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-03       Impact factor: 4.799

10.  Retinal vascular tortuosity assessment: inter-intra expert analysis and correlation with computational measurements.

Authors:  Lucía Ramos; Jorge Novo; José Rouco; Stephanie Romeo; María D Álvarez; Marcos Ortega
Journal:  BMC Med Res Methodol       Date:  2018-11-20       Impact factor: 4.615

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