Double-Profile Intersection (DoPIo) Ultrasound: Pointwise Shear Elasticity Estimation using Paired Confocal
Keita Yokoyama1, Murad Hossain2, Sabiq Muhtadi1
1Lampe Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599 USA.
Arxiv
|December 3, 2025
Summary
This study introduces Double Profile Intersection (DoPIo) ultrasound, a novel method for pointwise tissue elasticity estimation. DoPIo overcomes limitations of current methods by using scatterer shearing rate for high-resolution, amplitude-independent shear modulus quantification.
Area of Science:
- Medical Imaging
- Biophysics
- Ultrasound Technology
Background:
- Acoustic radiation force (ARF) methods for tissue elasticity quantification typically rely on shear wave propagation.
- Limitations include reduced spatial resolution due to spatial averaging and accuracy issues from shear wave guidance, reflections, and dispersion, especially in complex tissues.
Purpose of the Study:
- To introduce a novel ultrasound technique, Double Profile Intersection (DoPIo), for pointwise shear elastic modulus estimation.
- To enable high-resolution, on-axis elasticity measurements independent of acoustic radiation force amplitude.
Main Methods:
- DoPIo infers scatterer shearing rate by tracking acoustic radiation force-induced displacement using two tracking beams of different lateral widths.
- The intersection time of the displacement profiles is mapped to shear elastic modulus using an empirically derived model based on finite element simulations.
Main Results:
- In silico, DoPIo achieved a median error of -0.02 kPa and median absolute deviation of 1.98 kPa for elastic materials up to 35 kPa.
- In vitro and ex vivo experiments showed DoPIo reliably distinguished soft from stiff regions.
- Modulus estimates were consistent across varying ARF push amplitudes with adequate signal-to-noise ratio.
Conclusions:
- DoPIo provides a feasible approach for high-resolution, on-axis shear elasticity estimation.
- The technique shows promise as a quantitative biomarker for tissue elasticity, independent of ARF amplitude.
