• DocumentCode
    3152534
  • Title

    Study on adopting optimum binary phase serial to enhance SNR and Penetrating of Ultrasonic Images

  • Author

    Miao, Yalin ; Hu, Lan ; Yang, Yan ; Hao, Hongfei

  • Author_Institution
    Fac. of Printing & Packaging Eng., Xi´´an Univ. of Technol., Xi´´an, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    583
  • Lastpage
    588
  • Abstract
    This paper present adopting optimum binary phase serial to enhance signal to noise ratio and Penetrating of Ultrasonic Images. It combine the advanced theory of radar, spread spectrum communication theory and technique of pulse reflection ultrasound imaging. It completely expatiates the feasibility of coded pulse compression technique applied to medical ultrasound system. Since the signal to clutter ratio (SCR) couldn´t meet the requirement of medical ultrasound imaging when adopting self-correlation decoding for optimum binary phase serial, this paper presents the CSIFIR(codes spectrum inverse filter) decoding filter and practical and efficient solutions based on the least mean square. The results show the validity of theories and the efficiency of the methods.
  • Keywords
    biomedical ultrasonics; decoding; image coding; image enhancement; least mean squares methods; medical image processing; pulse compression; CSIFIR decoding filter; SNR enhancement; coded pulse compression; codes spectrum inverse filter; least mean square; optimum binary phase serial; pulse reflection ultrasound imaging; self-correlation decoding; signal-to-clutter ratio; signal-to-noise ratio; spread spectrum communication theory; ultrasonic images; Acoustics; Biomedical imaging; Encoding; Filtering theory; Scattering; Signal resolution; Ultrasonic imaging; optimum binary phase serial; penetrating; signal to clutter ratio (SCR); ultrasound imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5640014
  • Filename
    5640014