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Implementation of spectral width Doppler in pulsatile flow measurements.
B R Lee1, H K Chiang, Y H Chou
1Institute of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan.
Ultrasound in Medicine & Biology
|November 27, 1999
Summary
This study introduces an automated method for measuring Doppler angle and blood flow velocity using ultrasound. This technique eliminates manual vessel alignment, improving accuracy for pulsatile flow analysis.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Biomedical Engineering
Background:
- Current clinical Doppler ultrasound requires manual vessel axis setting for accurate flow velocity measurement.
- Manual alignment introduces potential errors in estimating beam-vector angle and corrected flow velocity.
Purpose of the Study:
- To develop and implement an automatic method for measuring beam-vector (Doppler) angle and flow velocity.
- To validate the method in pulsatile flow measurements using a clinical Doppler ultrasound system.
Main Methods:
- Utilized an annular array transducer to generate a conical, focused ultrasound beam.
- Measured flow velocity vectors parallel and perpendicular to the ultrasound beam axis.
- Calculated beam-vector angle and flow velocity from Doppler spectrum mode (f(d)) and maximum frequency (f(max)).
- Developed a spectrum normalization algorithm for Doppler spectrum averaging within a cardiac cycle.
- Applied spectrum averaging to reduce noise and enable pulsatile flow analysis.
Main Results:
- Successfully implemented an automatic method for Doppler angle and flow velocity measurement.
- In vivo validation demonstrated low standard deviations: < 2.2 degrees for beam-vector angles and < 12 cm/s (13.3%) for flow velocities.
- Measurements were verified across a wide range of angles (52 to 80 degrees) in the carotid artery.
Conclusions:
- The developed automatic method accurately measures beam-vector angle and flow velocity in pulsatile Doppler ultrasound.
- This automated approach enhances precision and reduces operator dependency compared to manual methods.
- The technique shows significant potential for improved clinical flow velocity assessments.