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PMID: 18002100 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Improvement of a retinal blood vessel segmentation method using the Insight Segmentation and Registration Toolkit (ITK).

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·Vol. 2007 ·2007-00-00 ·Pages 892-5

Martinez-Perez M, Hughes AD, Thom SA, Parker KH

Abstract

We describe an improved implementation of a segmentation method for retinal blood vessels based on a multi-scale approach and region growing employing modules from the Insight Segmentation and Registration Toolkit (ITK). We present the results of segmentation of retinal blood vessels using this improved method and compare these with results obtained using the original implementation in Matlab, as well as with expert manual segmentations obtained from a public database. We show that the ITK implementation achieves high quality segmentations with markedly improved computational efficiency. The ITK version has greater segmentation accuracy, from 0.94 to 0.96, than the Matlab version due to a decrease in FPR values and it is between 8 and 12 times faster than the original version. Furthermore, the ITK implementation is able to segment high-resolution images in an acceptable timescale.

MeSH Terms
Algorithms Artificial Intelligence Humans Image Enhancement/methods Image Interpretation, Computer-Assisted/methods Imaging, Three-Dimensional/methods Pattern Recognition, Automated/methods Programming Languages Reproducibility of Results Retinal Vessels/pathology Retinoscopy/methods Sensitivity and Specificity Software Subtraction Technique
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Martinez-Perez M
Department of Computer Science. Institute of Research in Applied Mathematics and Systems. UNAM, Apdo. Postal 20-726, México, D.F. 04510. [email protected]
Hughes Alun D
Thom Simon A
Parker Kim H
Article Info
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Abbr.
Annu Int Conf IEEE Eng Med Biol Soc
ISSN
2375-7477
Published
2007-00-00
Pages
892-5
Language
English
Region
United States
NLM ID
101763872
Subset
IM
Analysis Services
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