Segmentation of Choroidal Neovascularization lesions in fluorescein angiograms using parametric modeling of the intensity variation

Ahmed S. Fahmy, Walid M. Abdelmoula, Ahmed E. Mahfouz, Syed Mahmoud Shah

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

Abstract

Choroidal Neovascularization (CNV) is a severe retinal disease characterized by abnormal growth of blood vessels in the choroidal layer. Current diagnosis of CNV depends mainly on qualitative assessment of a temporal sequence of fundus fluorescein angiography images. Automated segmentation and identification of the CNV lesion types (either occult or classic) is required to reduce the inter-and intra- observer variability and also to reduce the manual segmentation effort and time. In this work, we present automatic segmentation method for the CNV lesions. The method is based on developing a novel model to describe the temporal intensity variation of the image sequence. The model parameters at each pixel are used to construct a feature vector that is used to classify the different pixels into areas of classic CNV, occult CNV and background. Preliminary results on four datasets show the potential and effectiveness of the method to segment and identify the different types of CNV lesions.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages665-668
Number of pages4
DOIs
StatePublished - Nov 2 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period3/30/114/2/11

Keywords

  • Choroidal Neovascularization
  • Fluorescein Angiography
  • Intensity Modeling
  • Segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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