Principal curved based retinal vessel segmentation towards diagnosis of retinal diseases

S. You, E. Bas, D. Erdogmus, J. Kalpathy-Cramer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

The extraction of retinal vessels plays an important role in the diagnosis and study of retinal diseases, such as Age-related Macular Degeneration (AMD), Diabetic Retinopathy, Retinopathy of Prematurity (ROP). Vessel diameters, tortuosity, branch lengths, angles, and bifurcations are essential to diagnosing these diseases. However, this is a challenging task due to high noise levels, the low contrast of thin vessels to the background, non-uniform illumination, and the central light reflex. Our goal here is to develop a framework to accurately segment the retinal vessels as a preprocessing step for the feature extraction of the vessels towards the future disease diagnosis. In this paper, we present a principal curve based retinal vessel segmentation approach to achieve this goal. We first use the isotropic Gaussian kernel Frangi filter to enhance the retinal vessels and measure the diameters of them. A multiscale principal curve projection and tracing algorithm is then proposed to identify the centerlines of the vessels in the output image of the Franfi filter using the underlying kernel smoothing interpolation of the intensities. The estimated vessel radius from the Frangi filter are used as the bandwidth of the kernel interpolation in the principal curve projection and tracing step. The vessel features toward diagnosing and analyzing the diseases can be extracted from our segmentation results. The presented approach is implemented on a publicly available DRIVE database [16].

Original languageEnglish (US)
Title of host publicationProceedings - 2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011
Pages331-337
Number of pages7
DOIs
StatePublished - Nov 22 2011
Event2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011 - San Jose, CA, United States
Duration: Jul 26 2011Jul 29 2011

Publication series

NameProceedings - 2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011

Other

Other2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011
CountryUnited States
CitySan Jose, CA
Period7/26/117/29/11

Keywords

  • Retinal vessels
  • centerline tracing
  • principal curves

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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