In Vivo Dynamic Coronary Arteries Blood Flow Imaging Based on Multi-Cycle Phase Clustering Ultrafast Ultrasound

Hao Yu1, Jiabin Zhang2,3, Feng Feng4

  • 1College Of Engineering, Peking University, Beijing, 100871, China.

Insights

This study introduces a new ultrasound method to visualize cardiac blood flow, overcoming limitations of traditional Doppler imaging. It enhances the detection of coronary artery and chamber flows for better cardiovascular disease diagnosis.

Area of Science:

  • Cardiovascular Imaging
  • Biomedical Ultrasound Engineering

Background:

  • Traditional Doppler echocardiography faces challenges with signal aliasing between myocardial tissue and blood flow.
  • Low-velocity flows, such as coronary artery blood flow, are particularly difficult to detect due to overlapping signals.

Purpose of the Study:

  • To develop a novel method for suppressing tissue clutter in cardiac ultrasound imaging.
  • To achieve clear visualization of dynamic cardiac blood flow, including coronary and chamber flows.
  • To enhance the spatial resolution of cardiovascular flow imaging.

Main Methods:

  • A novel multi-cycle phase clustering method was developed for tissue clutter suppression.
  • The new method abandons traditional Doppler-based imaging.
  • Integration with super-resolution ultrasound reconstruction techniques was employed.

Main Results:

  • Successfully extracted dynamic cardiac blood flow signals.
  • Achieved clear visualization of coronary artery flow and cardiac chamber flow throughout the cardiac cycle.
  • Enhanced spatial resolution in cardiac blood flow imaging was demonstrated.

Conclusions:

  • The developed technique offers a paradigm shift from traditional Doppler imaging.
  • This novel in vivo approach provides high spatio-temporal resolution, safety, and clinical accessibility.
  • The method shows significant potential for advancing the diagnosis of cardiovascular diseases.

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