Automated extraction of retinal vasculature

Tan JH 1 , Acharya UR 2 , Chua KC 1 , Cheng C 3 , Laude A 4

Affiliations 

  • 1 Department of Electronic and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489
  • 2 Department of Electronic and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489 and Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
  • 3 Algo Access, Singapore 120434
  • 4 National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433
Med Phys, 2016 May;43(5):2311.
PMID: 27147343 DOI: 10.1118/1.4945413

Abstract

The authors propose an algorithm that automatically extracts retinal vasculature and provides a simple measure to correct the extraction. The output of the method is a network of salient points, and blood vessels are drawn by connecting the salient points using a centripetal parameterized Catmull-Rom spline.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications