Quantification of retinopathy of prematurity via vessel segmentation

Julien Jomier, David K. Wallace, Stephen R. Aylward

Research output: Contribution to journalConference article

20 Scopus citations

Abstract

Retinopathy of prematurity is a disease that affects the eyes of many babies who are prematurely born. If the retinopathy is not detected in the days following birth blindness may occur. Studies have demonstrated that by observing the blood vessels within the retina, the disease can be quantified in an early stage and early treatment can save the baby's eyes. We have developed a new tool to assess retinopathy of prematurity. Our technique captures images of the retina to extract and quantify both tortuosity and dilation of blood vessels. Our approach demonstrates a 80% sensitivity and 92% specificity in the prediction of retinopathy compared to experts and shows a significant reduced diagnosis time and clinical integration via speech recognition and glare detection.

Original languageEnglish (US)
Pages (from-to)620-626
Number of pages7
JournalLecture Notes in Computer Science
Volume2879
Issue numberPART 2
StatePublished - Dec 1 2003
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada
Duration: Nov 15 2003Nov 18 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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