• DocumentCode
    575592
  • Title

    Trial of high myopia disease classification using MRI and prototyping of image analysis software

  • Author

    Modegi, Toshio ; Kondo, Jun Ichi ; Takahashi, Yoichi ; Moriyama, Muka ; Ohno-Matsui, Kyoko ; Morita, Ikuo

  • Author_Institution
    Dai Nippon Printing Co., Ltd., Tokyo, Japan
  • fYear
    2012
  • fDate
    20-23 Aug. 2012
  • Firstpage
    1841
  • Lastpage
    1848
  • Abstract
    This paper proposes a novel disease classification method based on eyeball shape parameters related to high myopia disease prognosis, by measuring 3-dimensional eyeball shape features without invasion, using 3-D T2-weighted MRI. Moreover, this paper proposes a specially implemented MRI analysis software, which can determine eyeball shape parameters both numerically and objectively, in order to decrease radiologist dependent analysis factors. The other clinical studies carried out by ophthalmologists have made it clear that our defined 4 kinds of eyeball shape parameters were related to causing high myopia related complications.
  • Keywords
    biomedical MRI; diseases; medical image processing; vision defects; 3-D T2-weighted MRI; eyeball shape parameters; high myopia disease classification; image analysis software; novel disease classification method; ophthalmologists; radiologist dependent analysis factors; Diseases; Image edge detection; Lead; Magnetic resonance imaging; Shape; Software; Software measurement; MRI; disease classification; high myopia; image analysis; ophthalmology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2012 Proceedings of
  • Conference_Location
    Akita
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-2259-1
  • Type

    conf

  • Filename
    6318755