• DocumentCode
    3206594
  • Title

    Volume quantification of 123I-DaTSCAN imaging by MatLab for the differentiation and grading of parkinsonism and essential tremor

  • Author

    Lyra, Maria ; Striligas, John ; Gavrilleli, Maria ; Lagopati, Nefeli

  • Author_Institution
    Radiation Physics Unit, A´´ Radiology Department, National & Kapodistrian University of Athens, Greece (Hellas)
  • fYear
    2010
  • fDate
    5-7 Dec. 2010
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    123I-DaTSCAN imaging studies have shown the ability to detect loss of striatal dopamine transporters. Aim of this work is to evaluate whether mathematical approach of striatum imaging data by Matlab program processing can differentiate between parkinsonian syndromes, of various stages, and essential tremor, and thus increase diagnostic accuracy. The extraction of parameters by digitized processing of 123I-DaTSCAN (123I-ioflupane) images to differentiate between parkinsonism and essential tremor and evaluation of SPECT imaging of the dopamine transporters (DAT) in vivo, will produce a display of pattern recognition. Eccentricity, major & minor axis length, orientation, area, equivalent diameter and integral intensity of both left & right ganglia were determined. A specific ratio of both ganglia parameters gives a classification indication and contributes in diagnosis decision.
  • Keywords
    Diseases; Dispersion; Image reconstruction; Image resolution; Image segmentation; Imaging; Pixel; DaTSCAN; MatLab image processing; Parkinsomism; striatum; volume quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Social Research (CSSR), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-8987-9
  • Type

    conf

  • DOI
    10.1109/CSSR.2010.5773757
  • Filename
    5773757