• DocumentCode
    2522014
  • Title

    DISCRIMINATIVE ANALYSIS OF NEUROMYELITIS OPTICA USING TWODIMENSIONAL HISTOGRAM FROM DIFFUSION TENSOR IMAGING

  • Author

    Lin, Fuchun ; Yu, Chunshui ; Jiang, Tianzi ; Li, Kuncheng ; Chan, Piu ; Lei, Hao

  • Author_Institution
    Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    752
  • Lastpage
    755
  • Abstract
    Neuromyelitis optica (NMO) generally has no visible brain lesions. However, occult damage of brain tissue has been investigated through magnetization transfer imaging and diffusion tensor imaging (DTI). In this paper, we discriminate patients with NMO from healthy subjects based on the two-dimensional histogram of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of the brain derived from DTI. The correct recognition rate is 89.5%, validated by the leave-one-out method. This result was much higher than that using one feature separately (68.4% for FA, 73.7% for ADC). Eigenimages, which reflect the discriminative pattern of NMO patients from healthy subjects, are also generated. Diffuse damage in brain tissue of NMO is detected from these eigenimages. In conclusion, the information from two-dimensional histogram can discriminate NMO patients from healthy subjects. Moreover, eigenimages can to some extent reflect discriminative regions between NMO patients and normal controls, and these discriminative regions will be useful in understanding the mechanism of NMO.
  • Keywords
    biodiffusion; biomedical MRI; brain; diseases; apparent diffusion coefficient; diffusion tensor imaging; eigenimages; leave-one-out method; neuromyelitis optica; recognition; tissue has; two-dimensional histogram; Anisotropic magnetoresistance; Brain; Diffusion tensor imaging; Geometrical optics; Histograms; Image analysis; Lesions; Magnetic analysis; Magnetization; Optical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356961
  • Filename
    4193395