Book chapter
Automated separation of binary overlapping trees in low-contrast color retinal images
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II, pp.436-443
Lecture Notes in Computer Science, v. 8150, Springer
2013
DOI: 10.1007/978-3-642-40763-5_54
PMID: 24579170
Abstract
While many approaches exist for the automated segmentation of retinal vessels in fundus photographs, limited work has focused on the problem of separating the arterial from the venous trees. The few existing approaches that do exist for separating arteries from veins are local and/or greedy in nature, making them susceptible to errors or limiting their applicability to only the very largest vessels. In this work, we propose a new, more global, optimization framework for separating two overlapping trees within medical images and apply this approach for the separation of arteriovenous trees in low-contrast color fundus images. In particular, our approach has two stages. The first stage is to generate a vessel potential connectivity map (VPCM) consisting of vessel segments and the potential connectivity between them. The second stage is to separate the VPCM into multiple anatomical trees using a graph-based meta-heuristic algorithm. Based on a graph model, the algorithm first uses local knowledge and global constraints of the vasculature to generate near-optimal candidate solutions, and then obtains the final solution based on global costs. We test the algorithm on 48 low-contrast fundus images and the promising results suggest its applicability and robustness.
Details
- Title: Subtitle
- Automated separation of binary overlapping trees in low-contrast color retinal images
- Creators
- Qiao Hu - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA. qiao-hu@uiowa.eduMichael D Abràmoff - Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA, USAMona K Garvin - Department of Veterans Affairs Health Care System, Iowa City, IA, USA
- Resource Type
- Book chapter
- Publication Details
- Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II, pp.436-443
- Publisher
- Springer; Germany
- Series
- Lecture Notes in Computer Science; v. 8150
- DOI
- 10.1007/978-3-642-40763-5_54
- PMID
- 24579170
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Language
- English
- Date published
- 2013
- Academic Unit
- Electrical and Computer Engineering; Ophthalmology and Visual Sciences; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9983806396402771
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