• DocumentCode
    2352495
  • Title

    Adaptive entropy coded DCT coding of magnetic resonance image sequences

  • Author

    Mohsenian, Nader ; Nosratinia, Aria ; Liu, Bede ; Orchard, Michael T.

  • Author_Institution
    Adv. Digital Video Lab., IBM Microelectron., Endicott, NY, USA
  • Volume
    4
  • fYear
    1994
  • fDate
    30 Oct-5 Nov 1994
  • Firstpage
    1542
  • Abstract
    Compression of magnetic resonance (MR) image sequences have proved to be difficult as compared to other medical imaging modalities. Some of the factors partially responsible for this are significant amount of noise and image artifacts which are present in a 3-D MR dataset. Another factor is use of unsuitable intensity matching techniques in removal of inter-slice dependencies. In this paper we introduce an adaptive DCT coding scheme that employs a triangle-based matching (TBM) algorithm to explore the inter-slice dependencies. The proposed scheme is used to encode a heart sequence. An improvement of 0.3 dB is achieved over adaptive intra-slice schemes at low bit-rates
  • Keywords
    adaptive codes; biomedical NMR; cardiology; discrete cosine transforms; entropy codes; image sequences; medical image processing; 3-D MR dataset; MRI sequence compression; adaptive entropy coded DCT coding; heart sequence; image artifacts; intensity matching techniques; inter-slice dependencies; low bit-rates; magnetic resonance image sequences; noise; triangle-based matching algorithm; Biomedical imaging; Discrete cosine transforms; Entropy; Image coding; Image sequences; Magnetic resonance; Magnetic resonance imaging; Medical diagnostic imaging; Microelectronics; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record
  • Conference_Location
    Norfolk, VA
  • Print_ISBN
    0-7803-2544-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1994.474768
  • Filename
    474768