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Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
Published on: February 9, 2012
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Modeling of the acoustic radiation force in elastography
Fabrice Prieur1, Oleg A Sapozhnikov2
1Department of Informatics, University of Oslo, Postboks 1080 Blindern, 0316 Oslo, Norway.
The Journal of the Acoustical Society of America
|September 3, 2017
Summary
This study compares acoustic radiation force (ARF) formulations for shear wave elastography. The second-order and quasi-plane wave approximations provide accurate shear wave displacement predictions, crucial for non-invasive tissue stiffness assessment.
Area of Science:
- Medical Imaging
- Biophysics
- Acoustics
Background:
- Elastography assesses in vivo tissue stiffness non-invasively.
- Shear wave elastography uses acoustic radiation force (ARF) from ultrasound to generate shear waves.
- Accurate ARF modeling is essential for reliable elastography.
Purpose of the Study:
- Compare three acoustic radiation force (ARF) formulations for shear wave elastography.
- Analyze discrepancies between full, quasi-plane wave, and attenuated plane wave approximations.
- Evaluate the impact of these formulations on shear displacement calculations.
Main Methods:
- Derived analytical expressions for ARF with spherical and quasi-Gaussian beams.
- Incorporated three ARF formulations into the k-Wave simulation package.
- Computed ARF and shear displacements using conventional ultrasound probes.
Main Results:
- Significant discrepancies exist between ARF formulations, especially for divergent/focused beams.
- Second-order and quasi-plane wave approximations yield nearly identical shear displacements.
- The attenuated plane wave approximation showed significant differences in displacement calculations.
Conclusions:
- The second-order or quasi-plane wave ARF approximations are preferred for accurate shear wave elastography.
- These approximations properly account for ultrasound field structure in simulations.
- Choosing the correct ARF formulation is vital for precise tissue stiffness measurements.
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