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Updated: May 6, 2026

Blood Flow Imaging with Ultrafast Doppler
Published on: October 14, 2020
Simultaneous quantification of myocardial and blood flow velocities based on duplex mode ultrasound imaging
Christer Grönlund1, Kenji Claesson, Jan D'hooge
1Department of Biomedical Engineering - R&D, Radiation Sciences, Umeå University, Umeå 90185, Sweden. christer.gronlund@vll.se.
Insights
A new method uses conventional ultrasound to simultaneously measure blood flow and myocardial velocity. This technique achieves high accuracy above 25 Hz, offering a widely accessible tool for cardiac mechanics studies.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Ultrasound Technology
Background:
- Cardiac function assessment relies on quantifying blood flow and myocardial velocities.
- Current methods often use different imaging modes and cardiac cycles, despite the need for simultaneous acquisition due to beat-to-beat variations.
- Conventional ultrasound systems offer wide availability but have limitations in resolution for simultaneous measurements.
Purpose of the Study:
- To present and evaluate a novel method for myocardial tissue velocity recovery using conventional Duplex ultrasound.
- To demonstrate the feasibility of assessing simultaneous blood flow and myocardial velocity in vivo.
- To overcome the limitations of reduced spatial and temporal resolution in conventional Duplex mode ultrasound.
Main Methods:
- Developed a novel method estimating axial phase shift of echogenic structures between image frames.
- Evaluated performance on synthetic B-mode image sequences with varying frame rates (20-60 Hz) and tissue velocities (5-15 cm/s).
- Compared the novel method's performance against a standard 2-D speckle tracking technique.
Main Results:
- The novel method demonstrated high performance above 25 Hz, with <15% error in peak diastolic velocity and <10 ms peak timing error.
- Superior performance was observed compared to 2-D tracking at frame rates below 50 Hz.
- In vivo quantification successfully verified echocardiographic patterns in healthy subjects and a patient group.
Conclusions:
- A novel myocardial velocity quantification method was successfully presented and validated.
- High performance was achieved at frame rates above 25 Hz using conventional Duplex mode imaging.
- The method is suitable for both retrospective and prospective studies on cardiac mechanics and hemodynamics.
Background:
Ultrasound imaging of the heart is a commonly used clinical tool to assess cardiac function. The basis for this analysis is the quantification of cardiac blood flow and myocardial velocities. These are typically measured using different imaging modes and on different cardiac cycles. However, due to beat-to-beat variations such as irregular heart rhythm and transient events, simultaneous acquisition is preferred. There exists specialized ultrasound systems for this purpose; however, it would be beneficial if this could be achieved using conventional ultrasound systems due to their wide availability. The conventional Duplex mode ultrasound allows simultaneous acquisition, however at a highly reduced spatial and temporal resolution.
Methods:
The aim of this work was to present and evaluate the performance of a novel method to recover myocardial tissue velocity using conventional Duplex ultrasound imaging, and to demonstrate its feasibility for the assessment of simultaneous blood flow and myocardial velocity in-vivo. The essence of the method was the estimation of the axial phase shift of robust echogenic structures between subsequent image frames. The performance of the method was evaluated on synthetic tissue mimicking B-mode image sequences at different frame rates (20-60 Hz) and tissue velocities (peak velocities 5-15cm/s), using cardiac deformation and displacement characteristics. The performance was also compared to a standard 2-D speckle tracking technique.
Results:
The method had an overall high performance at frame rates above 25 Hz, with less than 15% error of the peak diastolic velocity, and less than 10 ms peak timing error. The method showed superior performance compared to the 2-D tracking technique at frame rates below 50 Hz. The in-vivo quantification of simultaneous blood flow and myocardial tissue velocities verified the echocardiographic patterns and features of healthy subjects and the specific patient group.
Conclusions:
A novel myocardial velocity quantification method was presented and high performance at frame rates above 25 Hz was shown. In-vivo quantification of simultaneous myocardial and blood flow velocities was feasible using the proposed method and conventional Duplex mode imaging. We propose that the methodology is suitable for retrospective as well as prospective studies on the mechanics and hemodynamics of the heart.
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