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Coded excitation plane wave imaging for shear wave motion detection.

Pengfei Song, Matthew W Urban, Armando Manduca

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

|July 14, 2015

Summary

Coded excitation in plane wave imaging enhances shear wave elastography penetration and signal quality. This method improves shear wave detection in deep tissues and obese patients, crucial for accurate elasticity measurements.

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Area of Science:

Medical Imaging
Ultrasound Technology
Biomedical Engineering

Background:

Plane wave imaging offers high frame rates and large fields-of-view (FOV) for shear wave elastography.
However, its lack of transmit focusing limits penetration depth, hindering deep tissue and obese patient imaging.
This limitation poses challenges for reliable shear wave detection.

Purpose of the Study:

To investigate the feasibility of coded excitation in plane wave imaging for shear wave detection.
To evaluate if coded ultrasound signals improve penetration and shear wave signal-to-noise ratio (SNR) compared to conventional signals.
To assess the performance of phase encoding (Barker code) and frequency encoding (chirp code) methods.

Main Methods:

Implemented coded excitation (phase and frequency encoding) within plane wave imaging sequences.
Conducted phantom experiments to assess penetration gain and sensitivity to motion.
Performed in vivo liver imaging on an obese subject to evaluate clinical feasibility and SNR.

Main Results:

Coded pulses demonstrated an approximate penetration gain of 2 to 4 cm in phantom studies.
All coded pulse methods outperformed conventional short imaging pulses in sensitivity and robustness.
In vivo liver imaging showed higher SNR shear wave signals with coded pulses compared to conventional methods.

Conclusions:

Coded excitation in plane wave imaging enhances penetration and signal quality for shear wave elastography.
This approach overcomes the penetration limitations of conventional plane wave imaging.
It enables robust shear elasticity measurements in challenging scenarios like deep tissues and obese patients.