• DocumentCode
    2178221
  • Title

    Blind Restoration of Fluorescein Angiography Images

  • Author

    Qidwai, Uvais ; Qidwai, Umair

  • Author_Institution
    Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
  • fYear
    2010
  • fDate
    1-3 Dec. 2010
  • Firstpage
    146
  • Lastpage
    151
  • Abstract
    In this paper, a new technique is presented to enhance the blurred images obtained from Fluoresce in Angiography (FA) of the retina. One of the main steps in inspecting the eye (especially the deeper image of retina) is to look into the eye using a slit-lamp apparatus that shines a monochromatic light on to the retinal surface and captures the reflection in the camera as the retinal image. When further probing is required, such imaging is preceded by injecting a specialized dye in the eye blood vessels. This dye shines out more prominently in the imaging system and reveals the temporal as well as special behavior of the blood vessels, which, in turn, is useful in the diagnosis process. While most of the cases, the image produced is quite clean and easily used by the ophthalmologists, there are still many cases in which these images come out to be very blurred due to the disease in the eye such as cataract etc... in such cases, having an enhanced image can enable the doctors to start the appropriate treatment for the underlying disease. The proposed technique utilizes the Blind Deconvolution approach using Maximum Likelihood Estimation approach. Further post-processing steps have been proposed as well to locate the Macula in the image which is the zero-center of the image formed on the retina. The post-processing steps include thresholding, Region Growing, and morphological operations.
  • Keywords
    biomedical optical imaging; diseases; dyes; eye; image enhancement; image restoration; maximum likelihood estimation; medical image processing; blind deconvolution; blind restoration; blood vessels; cataract; diagnosis; disease; dye; eye; fluorescein angiography images; image enhancement; maximum likelihood estimation; morphological operations; region growing; retina; slit-lamp apparatus; thresholding; Blind Deconvolution; Fluorescein Angiography; Morphological Operators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-8816-2
  • Electronic_ISBN
    978-0-7695-4271-3
  • Type

    conf

  • DOI
    10.1109/DICTA.2010.35
  • Filename
    5692556