• DocumentCode
    1825167
  • Title

    3D multifractal analysis: Application for epilipsy detection in spect imaging

  • Author

    Lopes, Roseli ; Makni, N. ; Viard, R. ; Steinling, M. ; Maouche, Salah ; Betrouni, N.

  • Author_Institution
    Inserm, CHRU, Lille
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    1199
  • Lastpage
    1202
  • Abstract
    In medical imaging, many texture analysis methods were studied with different degrees of effectiveness. These last years, works showed the usefulness of the fractal geometry to characterize textures. The fractal dimension provides a global aspect of the texture, while the multifractal analysis provides a local and global aspect of the texture. In this study, we were interested in the detection of epileptic fit sources on brain SPECT images. The detection problem is formulated as a 3D multifractal analysis scheme. The first results obtained on a base of 5 patients show that this method can be effective for this application.
  • Keywords
    biology computing; brain; fractals; image texture; single photon emission computed tomography; 3D multifractal analysis; brain SPECT imaging; epilipsy detection; fractal dimension; single photon emission computed tomography; texture analysis methods; textures; Biomedical imaging; Epilepsy; Fractals; Gabor filters; Geometry; Hospitals; Image analysis; Image texture analysis; Nuclear medicine; Pathology; 3D mutlifractal analysis; SPECT imaging; detection; epilepsy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541217
  • Filename
    4541217