• DocumentCode
    235819
  • Title

    High-frequency ultrasound Doppler detection using fundamental pulse inversion technique

  • Author

    Wei-Chen Liu ; Che-Chou Shen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2014
  • fDate
    26-28 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Swept-scan imaging mode is often utilized in high-frequency ultrasound Doppler estimation of blood flow. However, tissue spectral broadening effect in swept-scan system severely limits the detection of low-velocity flow especially at high scanning speed of motor. To alleviate the effect of wall filtering on low-velocity blood signal, the suppression of tissue Doppler signal using micro-bubble contrast agent and non-linear imaging can be helpful. With the method of fundamental pulse-inversion Doppler (FPID), the non-linear bubble signal can be isolated from the linear tissue signal at fundamental frequency by low-pass filtering in the Doppler domain to reduce the clutter interference. Results show that the FPID helps to retain the low-velocity blood flow signal in color Doppler imaging and thus improves the efficacy of blood flow detection. With different lateral scanning speed of motor (Vmotor), the values of color-pixel density (CPD) with FPID are 0.63 (Vmotor = 4mm/s), 0.65 (Vmotor = 8mm/s) and 0.58 (Vmotor = 16mm/s). It shows that FPID is less susceptible to the tissue spectral broadening effect The results also show that, with FPID method, the flow signal-to-clutter ratio (SCR) increases by 7.7dB (P <; 0.001) and the CPD increases by 20 % (P <; 0.001) in the case of 3mm/s of blood flow velocity and 16mm/s lateral scanning speed of motor.
  • Keywords
    Doppler measurement; biological tissues; biomedical equipment; biomedical ultrasonics; bubbles; clutter; colour graphics; feature extraction; haemodynamics; image colour analysis; low-pass filters; medical image processing; source separation; spectral analysis; spectral line broadening; ultrasonic imaging; CPD value; Doppler domain; FPID; SCR; blood flow detection efficacy; blood flow estimation; blood flow velocity; clutter interference reduction; color Doppler imaging; color-pixel density value; flow signal-to-clutter ratio; fundamental frequency; fundamental pulse inversion Doppler technique; high scanning speed; high-frequency ultrasound Doppler detection; high-frequency ultrasound Doppler estimation; lateral scanning speed; linear tissue signal; low-pass filtering; low-velocity blood flow signal; low-velocity blood signal; low-velocity flow detection; microbubble contrast agent; motor speed; nonlinear bubble signal isolation; nonlinear imaging; swept-scan imaging mode; swept-scan system; tissue Doppler signal suppression; tissue spectral broadening effect; velocity 16 km/s; velocity 3 mm/s; wall filtering effect; Acoustics; Artificial intelligence; Blood; Clutter; Image resolution; Signal resolution; Thyristors; High-frequency ultrasound Doppler estimation; Micro-bubble contrast agent; Pulse inversion; Swept-scan mode; Tissue spectral broadening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2014 7th
  • Conference_Location
    Fukuoka
  • Type

    conf

  • DOI
    10.1109/BMEiCON.2014.7017386
  • Filename
    7017386