• DocumentCode
    3061025
  • Title

    Coronary angiogram video compression adapted to medical imaging applications

  • Author

    Zaid, Azza Ouled ; Abdessalem, Salem ; Mourali, Mohamed Sami ; Farhati, Abdeljalil ; Bouallègue, Ammar ; Mechmeche, Rachid ; Olivier, Christian

  • Author_Institution
    SysCom Laboratory, National Engineering School of Tunis, Tunisia
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    410
  • Lastpage
    413
  • Abstract
    H.264/AVC coder has proven to use the most advanced video compression, but, at the cost of high computational complexity. On the other hand, analysis of coronary x-ray images reveals large areas containing no diagnostically important information. In this paper, we propose to exploit the energy characteristics in slice equal size regions to determine the active zones in coronary x-ray sequences to be encoded as normal using the H.264 coding system. The other regions, are compressed using conventional low complex approaches. Experimental results have shown that this procedure reduces the coder computing time of about 20% while attaining the same compression performance. A clinical subjective assessment by three expert physicians in interventional cardiology leads to a compression ratio of about 30:1 which insures both a diagnosis adequacy and a sufficient compression in regards to storage and transmission requirements.
  • Keywords
    Automatic voltage control; Biomedical imaging; Cardiology; Computational complexity; Computational efficiency; Image analysis; Image coding; Information analysis; Video compression; X-ray imaging; Algorithms; Coronary Angiography; Data Compression; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649177
  • Filename
    4649177