• DocumentCode
    586393
  • Title

    Detection and registration of vessels of fundus and OCT images using curevelet analysis

  • Author

    Golabbakhsh, Marzieh ; Rabbani, Hossein ; Esmaeili, M.

  • Author_Institution
    Med. Image & Signal Process. Res. Center, Isfahan Univ. of Medican Sci., Isfahan, Iran
  • fYear
    2012
  • fDate
    11-13 Nov. 2012
  • Firstpage
    594
  • Lastpage
    597
  • Abstract
    In recent years, advanced analysis of retinal images, has built automatic systems for diagnosis of various diseases. These devices help us save both time and money. The new techniques of 3D-Optical Coherence Tomography (OCT) imaging is very useful for detecting retinal pathologic changes in various diseases and determining retinal thickness abnormalities. Fundus color images have been used for several years for detecting retinal abnormalities too. If the two image modalities were combined, the resulted image would be more informative because some abnormalities such as drusen, geographic atrophy, and macular hemorrhages are detected in color fundus images but the exact morphology and localization of these abnormalities are released in OCT images. The first step to combine the different modalities is to register color fundus images with OCT projection. Ten eyes were imaged in this study with Topcon 3D OCT-1000 instrument. This instrument is used to observe the retina, take fundus and tomograms and record them. An en face representation of OCT reflectivity can be registered with color fundus photography. In this study curvelet transform is used to extract vessels for both modalities. Then the extracted vessels from two modalities are registered together. In this way more blood vessels can be obtained and the results would be more informative.
  • Keywords
    computerised tomography; eye; image colour analysis; image registration; medical image processing; object detection; optical tomography; transforms; 3D-optical coherence tomography imaging; OCT image detection; OCT image registration; OCT projection; Topcon 3D OCT-1000 instrument; advanced retinal image analysis; automatic disease diagnosis systems; color fundus photography; curevelet analysis; curvelet transform; en face representation; fundus color images; fundus vessel image detection; fundus vessel image registration; geographic atrophy; image modalities; macular hemorrhages; retinal pathologic change detection; retinal thickness abnormalities; Biomedical optical imaging; Coherence; Image color analysis; Optical fibers; Optical imaging; Retina; Optical Coherence Tomography (OCT); color fundus image; curvelet transform; registration; vessel detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4673-4357-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2012.6399739
  • Filename
    6399739