Automated construction of arterial and venous trees in retinal images

Qiao Hu; Michael D. Abràmoff; Mona K. K. Garvin

doi:10.1117/1.JMI.2.4.044001

19 November 2015 Automated construction of arterial and venous trees in retinal images

Qiao Hu, Michael D. Abràmoff, Mona K. K. Garvin

Author Affiliations +

Journal of Medical Imaging, Vol. 2, Issue 4, 044001 (November 2015). https://doi.org/10.1117/1.JMI.2.4.044001

Abstract

While many approaches exist to segment retinal vessels in fundus photographs, only a limited number focus on the construction and disambiguation of arterial and venous trees. Previous approaches are local and/or greedy in nature, making them susceptible to errors or limiting their applicability to large vessels. We propose a more global framework to generate arteriovenous trees in retinal images, given a vessel segmentation. In particular, our approach consists of three stages. The first stage is to generate an overconnected vessel network, named the vessel potential connectivity map (VPCM), consisting of vessel segments and the potential connectivity between them. The second stage is to disambiguate the VPCM into multiple anatomical trees, using a graph-based metaheuristic algorithm. The third stage is to classify these trees into arterial or venous (A/V) trees. We evaluated our approach with a ground truth built based on a public database, showing a pixel-wise classification accuracy of 88.15% using a manual vessel segmentation as input, and 86.11% using an automatic vessel segmentation as input.

Citation Download Citation

Qiao Hu, Michael D. Abràmoff, and Mona K. K. Garvin "Automated construction of arterial and venous trees in retinal images," Journal of Medical Imaging 2(4), 044001 (19 November 2015). https://doi.org/10.1117/1.JMI.2.4.044001

Published: 19 November 2015

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available