An ultrasound transient elastography system with coded excitation
Xianfen Diao1, Jing Zhu1, Xiaonian He1
1National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, 518060, China.
Ultrasound transient elastography with coded excitation enhances deep tissue imaging. This technique improves detection depth and signal quality, aiding liver assessments, particularly in obese patients.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Acoustic Physics
Background:
- Ultrasound transient elastography is a safe and user-friendly elastography technique.
- Current limitations include restricted application in deep tissue imaging.
- This study addresses the need for enhanced detection depth in ultrasound elastography.
Purpose of the Study:
- To design an ultrasound transient elastography system utilizing coded excitation.
- To achieve greater detection depth in ultrasound elastography.
- To improve signal-to-noise ratio for enhanced imaging.
Main Methods:
- Developed an ultrasound transient elastography system with coded excitation capabilities.
- Integrated an arbitrary waveform generator for synchronized signal production.
- Employed 7-chip Barker coded excitation and traditional pulse-echo detection for shear wave assessment.
- Evaluated system performance using an elasticity QA phantom and in vitro rat livers.
Main Results:
- Demonstrated system effectiveness in phantom and in vitro liver studies.
- Achieved an increase in detection depth exceeding 1 cm in rat livers.
- Reported a 15 dB improvement in signal-to-noise ratio with 7-chip Barker coded excitation.
Conclusions:
- 7-chip Barker coded excitation significantly enhances ultrasound transient elastography.
- The technique increases both detection depth and signal-to-noise ratio.
- Coded excitation shows promise for human liver assessment, especially in challenging cases like obesity.
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