• DocumentCode
    3226964
  • Title

    Quantitative analysis of brain white matter lesions in multiple sclerosis subjects

  • Author

    Loizou, C.P. ; Pattichis, C.S. ; Seimenis, I. ; Pantziaris, M.

  • Author_Institution
    Sch. of Sci., Dept. of Comput. Sci., Intercoll., Limassol, Cyprus
  • fYear
    2009
  • fDate
    4-7 Nov. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study the value of magnetic resonance image (MRI) shape and texture analysis was assessed in multiple sclerosis (MS) subjects, both in differentiating between normal or normal appearing and abnormal tissue and in assessing disease onset. Shape and texture analysis was carried out in normal brain white matter and lesions detected in transverse sections of T2-weighted magnetic resonance (MR) images acquired from 22 symptomatic untreated subjects. All detected brain lesions were manually segmented by an experienced MS neurologist and confirmed by a radiologist. The results showed that there was no significant difference for most of the shape features and for all of the texture features between MS lesions at 0 and 6-12 months. For some texture features there was significant difference between normal or normal appearing tissue and MS lesions at 0 and 6-12 months. Further research with more subjects is required for computing shape and texture features that may provide information for better and earlier differentiation between normal tissue and MS lesions.
  • Keywords
    biological tissues; biomedical MRI; brain; diseases; feature extraction; image texture; medical image processing; neurophysiology; abnormal tissue; brain white matter lesions; differentiation; magnetic resonance image; multiple sclerosis; shape analysis; shape feature extraction; texture analysis; texture feature extraction; time 0 month to 12 month; Diseases; Image analysis; Image segmentation; Image texture analysis; Lesions; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Multiple sclerosis; Shape; MRI; multiple sclerosis; shape features; texture analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4244-5379-5
  • Electronic_ISBN
    978-1-4244-5379-5
  • Type

    conf

  • DOI
    10.1109/ITAB.2009.5394340
  • Filename
    5394340