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Bubble-echo based deconvolution of contrast-enhanced ultrasound imaging: Simulation and experimental validations
Diya Wang1,2, Hong Hu1,3, Xinyu Zhang1
1Department of Biomedical Engineering, School of Life Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, China.
Medical Physics
|July 19, 2018
Summary
A novel bubble-echo based deconvolution (BED) method enhances contrast-enhanced ultrasound (CEUS) imaging. This technique significantly improves both imaging resolution and contrast-to-tissue ratio (CTR) for better microvascular perfusion evaluation.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Biomedical Engineering
Background:
- Improving imaging resolution and contrast-to-tissue ratio (CTR) are key goals in contrast-enhanced ultrasound (CEUS) for microvascular perfusion imaging.
- Advanced CEUS methods enhance CTR using nonlinear contrast agent characteristics, but imaging resolution remains limited by finite bandwidth.
Purpose of the Study:
- To introduce a bubble-echo based deconvolution (BED) method for CEUS.
- The aim is to achieve simultaneous improvements in both imaging resolution and CTR.
Main Methods:
- A modified convolution model and novel bubble-echo based point-spread-functions were employed.
- Regularized inverse Wiener filtering was used for image reconstruction.
- Simulations and in vivo experiments evaluated BED performance across three CEUS modes.
Main Results:
- BED in fundamental imaging yielded the highest resolution improvement (up to 2.0 ± 0.2 times), comparable to cepstrum-based deconvolution (CED).
- BED in second-harmonic imaging showed the best CTR enhancement (9.8 ± 2.3 dB), surpassing CED.
- Pulse inversion BED demonstrated advantages in both resolution and CTR.
Conclusions:
- The proposed BED method successfully enhances both resolution and CTR in CEUS imaging.
- This technique holds significant potential for evaluating microvascular perfusion in deep tissues.
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