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(Reproducible research) Super-Resolution Ultrasound Imaging utilizing Random Interference and Joint Image Reconstruction

MATLAB 97.46% C++ 2.54%

sensors-ultrasound-random-interference's Introduction

Super-Resolution Ultrasound Imaging utilizing Random Interference and Joint Image Reconstruction

  • Simulation codes for MDPI Sensors paper "High-Resolution Ultrasound Imaging Enabled by Random Interference and Joint Image Reconstruction" authors: Pavel Ni, Heung-No Lee

Abstract: In ultrasound, wave interference is an undesirable effect that degrades the resolution of the images. We have recently shown that a wavefront of random interference can be used to reconstruct high-resolution ultrasound images. In this study, we further improve the resolution of interference-based ultrasound imaging by proposing a joint image reconstruction scheme. The proposed reconstruction scheme utilizes RF signals from all elements of the sensor array in a joint optimization problem to directly reconstruct final high-resolution images. By jointly processing array signals, we made significant improvements in the ultrasound resolution. The results of the simulation and experimental studies show that the proposed method achieves a superior contrast and image resolution. Furthermore, we share our simulation codes as an open-source repository in support of reproducible research.

Simulation Results Simulation results

Table 1. MSE, PSNR, and SNR values of conventional and proposed image reconstruction methods

Method MSE PSNR SNR
1 Conventional Focused B-mdoe 144.1 5.45 -4.66
2 Interference-based compound method 0.122 19.20 6.80
3 Interference-based join rec. method 0.001 28.04 15.65
  • Simulation dependencies
  1. Filed II ultrasound simulation software (https://field-ii.dk/)
  2. Yall 1 algorithm (http://yall1.blogs.rice.edu/)

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