• DocumentCode
    2358000
  • Title

    Reducing the Complexity of Orthogonal Code Based Synthetic Aperture Ultrasound System

  • Author

    Ming Yang ; Siyuan Wei ; Chakrabarti, Chaitali

  • Author_Institution
    Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2012
  • fDate
    17-19 Oct. 2012
  • Firstpage
    270
  • Lastpage
    275
  • Abstract
    In this paper, we propose several techniques to reduce the computation complexity of orthogonal chirp and orthogonal Golay code based synthetic aperture ultrasound systems. First, we minimize the complexity in terms of number of effective multiplications by choosing the system parameters for a specified SNR gain. The proposed method helps in reducing the complexity by about 20. Next, we consider a system that compensates for body motion. We reduce the complexity of motion compensation first by doing the calculations in polar domain, and second, by making use of the correlation in motion velocity field in a small neighborhood. These approximations reduce the computation complexity by3000 with minimal performance penalty.
  • Keywords
    Golay codes; biomedical ultrasonics; computational complexity; image coding; medical image processing; motion compensation; orthogonal codes; ultrasonic imaging; body motion; computation complexity reduction; motion compensation; motion velocity field; orthogonal Golay code; orthogonal chirp; orthogonal code-based synthetic aperture ultrasound system; polar domain; specified SNR gain; Chirp; Complexity theory; Delay; Gain; Motion compensation; Signal to noise ratio; Ultrasonic imaging; Golay code; Synthetic aperture ultrasound; chirp; motion compensation; orthogonal coded excitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2012 IEEE Workshop on
  • Conference_Location
    Quebec City, QC
  • ISSN
    2162-3562
  • Print_ISBN
    978-1-4673-2986-6
  • Type

    conf

  • DOI
    10.1109/SiPS.2012.44
  • Filename
    6363267