A modified matched filter with double-sided thresholding for screening proliferative diabetic retinopathy

Lei Zhang, Qin Li, Jia You, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

75 Citations (Scopus)

Abstract

The early diagnosis of proliferative diabetic retinopathy (PDR), a common complication of diabetes that damages the retina, is crucial to the protection of the vision of diabetes sufferers. The onset of PDR is signaled by the appearance of neovascular net. Such neovascular nets might be identified using retinal vessel extraction techniques. The commonly used matched filter methods often produce false positive detections of neovascular nets due to their proneness to detect nonline edges as well as lines. In this paper, we propose a modified matched filter for retinal vessel extraction that applies a local vessel cross-section analysis using double-sided thresholding to reduce false responses to nonline edges. Our proposed modified matched filters demonstrated higher true positive rate and lesser false detection than existing matched-filter-based schemes in vessel extraction.
Original languageEnglish
Pages (from-to)528-534
Number of pages7
JournalIEEE Transactions on Information Technology in Biomedicine
Volume13
Issue number4
DOIs
Publication statusPublished - 1 Jul 2009

Keywords

  • Matched filter
  • Proliferative diabetic retinopathy (PDR)
  • Retinal image
  • Vessel extraction

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this