Robust Vessel Segmentation in Fundus Images
Joint Authors
Michelson, Georg
Hornegger, J.
Maier, Andreas
Budai, A.
Bock, R.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
One of the most common modalities to examine the human eye is the eye-fundus photograph.
The evaluation of fundus photographs is carried out by medical experts during time-consuming visual inspection.
Our aim is to accelerate this process using computer aided diagnosis.
As a first step, it is necessary to segment structures in the images for tissue differentiation.
As the eye is the only organ, where the vasculature can be imaged in an in vivo and noninterventional way without using expensive scanners, the vessel tree is one of the most interesting and important structures to analyze.
The quality and resolution of fundus images are rapidly increasing.
Thus, segmentation methods need to be adapted to the new challenges of high resolutions.
In this paper, we present a method to reduce calculation time, achieve high accuracy, and increase sensitivity compared to the original Frangi method.
This method contains approaches to avoid potential problems like specular reflexes of thick vessels.
The proposed method is evaluated using the STARE and DRIVE databases and we propose a new high resolution fundus database to compare it to the state-of-the-art algorithms.
The results show an average accuracy above 94% and low computational needs.
This outperforms state-of-the-art methods.
American Psychological Association (APA)
Budai, A.& Bock, R.& Maier, Andreas& Hornegger, J.& Michelson, Georg. 2013. Robust Vessel Segmentation in Fundus Images. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-450200
Modern Language Association (MLA)
Budai, A.…[et al.]. Robust Vessel Segmentation in Fundus Images. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-450200
American Medical Association (AMA)
Budai, A.& Bock, R.& Maier, Andreas& Hornegger, J.& Michelson, Georg. Robust Vessel Segmentation in Fundus Images. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-450200
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450200