• DocumentCode
    3467234
  • Title

    Comparison of wavelet based coders applied to 3D Brain Tumor MRI Images

  • Author

    Dhouib, D. ; Naït-Ali, A. ; Olivier, C. ; Naceur, M.S.

  • Author_Institution
    SIC of XLIM Lab., Univ. de Poitiers, Poitiers
  • fYear
    2009
  • fDate
    23-26 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work, we compare the performances of three wavelet based coding algorithms such as 3D QTL, 3D SPIHT and JPEG2K applied to 3D brain tumor MRI images. An objective comparison is achieved between the three coders, namely 3D SPIHT, 3D QTL and JPEG2K. For those tests, eight MRI brain tumor scan test sets of 256 times 256 times 124 voxels of different patients have been used in order to compare those three coders. Results show the superiority of 3D SPIHT algorithm, whereas 3D QTL outperforms JPEG2K. Thus we may conclude, although 3D SPIHT perform good results, but it is not sufficient to reduce the storage space and transmission bitrate in case of telemedicine. So we must find a solution which can compress and transmit only the region important for diagnosis (in our case a tumor) with a high bitrate and the other regions with a low bitrate. The region of interest (ROI) based compression may be the solution to this problem.
  • Keywords
    biomedical MRI; brain; cancer; data compression; image coding; medical image processing; quadtrees; tree codes; tumours; wavelet transforms; 3D QTL; 3D SPIHT; 3D brain tumor MRI image coding; JPEG2K; image compression; medical diagnosis; telemedicine; wavelet transform; Biomedical imaging; Bit rate; Image coding; Laboratories; Magnetic resonance imaging; Medical diagnostic imaging; Neoplasms; Telemedicine; Testing; Transform coding; Image coding; medical imaging; wavelet based coder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on
  • Conference_Location
    Djerba
  • Print_ISBN
    978-1-4244-4345-1
  • Electronic_ISBN
    978-1-4244-4346-8
  • Type

    conf

  • DOI
    10.1109/SSD.2009.4956759
  • Filename
    4956759