A Sparse Regularization Algorithm For Beamforming Of Ultrasound Super-Resolution Plane Wave Imaging

As the development of science and technology,ultrasound imaging has developed rapidly,especially with the help of the development of electronic information technology in the 21st century,ultrasound imaging technology has been updated and iterated.Traditional ultrasound beam forming technology can no longer meet the needs of clinical diagnosis of various diseases.Plane-wave ultrasound imaging has been proposed and applied to shear wave elastography,ultrasound Doppler imaging,imaging of pulse waves,ultrafast vector flow imaging and other important aspects.Plane-wave ultrasound imaging has advantages such as high frame rate but image quality was poor.How to improve the image quality but without reducing the frame rate is a research hotspot in current plane wave technology.This paper mainly focused on time domain ultrasound plane-wave beam forming algorithm.To solve the problem of excessively large coding matrix in the inverse problem of ultrasonic plane wave beam forming,an improved sparse regularization algorithm is proposed in this paper.The differences between the two algorithms was analyzed in detail.In this paper,the ultrasonic plane wave imaging sets multiple array elements to emit pulse waves in the same pulse and delay,in other words,there was no focus in the plane of beam forming.Image quality was improved in this kind of ultrafast imaging technology based compressive sensing theory which imaged with only transmitted and received once.In the simulation and phantom experiments,the resolution and imaging time of the reconstructed ultrasound image were quantified and analyzed,and the advantages and disadvantages of the two algorithms was compared.At present,how to archiving super-resolution in ultrasound imaging is widely focused internationally,the key to achieving super resolution is determine to the point spread function of the imaging system.In this paper a plane wave beam forming algorithm based on measured point spread function is proposed.First,the spatial resolution of the existing algorithm in separating very close objects was measured by MATLAB and Field II simulation experiments.Then,the point spread function of the imaging system and the radio frequency signal of the scatterers to be separated were acquired by the Verasonics system and a three-dimensional ultrasound measurement system,and the plane wave beam forming algorithm was used to reconstructed image.The lateral resolution of the interpolated grayscale image and the amplitude of the image scatterers were compared.The experimental results show that the proposed method can separate near-half-wavelength scatterers and achieved super-resolution in ultrasound plane wave imaging..