Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Robust Ultrasound Multigate Blood Volume Flow Estimation

  • Zhang, Yi (College of Computer Science, Sichuan University) ;
  • Li, Jinkai (College of Computer Science, Sichuan University) ;
  • Liu, Xin (College of Computer Science, Sichuan University) ;
  • Liu, Dong Chyuan (College of Computer Science, Sichuan University)
  • Received : 2017.11.15
  • Accepted : 2018.07.14
  • Published : 2019.08.31
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Abstract

Estimation of accurate blood volume flow in ultrasound Doppler blood flow spectrograms is extremely important for clinical diagnostic purposes. Blood volume flow measurements require the assessment of both the velocity distribution and the cross-sectional area of the vessel. Unfortunately, the existing volume flow estimation algorithms by ultrasound lack the velocity space distribution information in cross-sections of a vessel and have the problems of low accuracy and poor stability. In this paper, a new robust ultrasound volume flow estimation method based on multigate (RMG) is proposed and the multigate technology provides detail information on the local velocity distribution. In this method, an accurate double iterative flow velocity estimation algorithm (DIV) is used to estimate the mean velocity and it has been tested on in vivo data from carotid. The results from experiments indicate a mean standard deviation of less than 6% in flow velocities when estimated for a range of SNR levels. The RMG method is validated in a custom-designed experimental setup, Doppler phantom and imitation blood flow control system. In vitro experimental results show that the mean error of the RMG algorithm is 4.81%. Low errors in blood volume flow estimation make the prospect of using the RMG algorithm for real-time blood volume flow estimation possible.

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References

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