The Research Of Ultrasound Imaging Experimental System And Imaging Algorithm

In the diagnosis and treatment of diseases,ultrasound imaging equipment can help patients detect pathology in real time,non-invasively and efficiently.With the development of ultrasound technology,the ultrasound equipment with higher levels of integration,versatility,and imaging-optimized are increasingly entering the medical market.In order to improve the imaging quality,ultrasound imaging algorithms have been studied for years.Due to the lack of acquisition of pre-beamforming data in ultrasound imaging equipment,the research on new ultrasound imaging algorithms has been hampered.To meet the requirement,this paper developed a 32-channel ultrasound imaging experimental system that can collect and store the pre-beamforming data.The system mainly includes four parts: 1)an ultrasonic probe containing channel elements to emit ultrasonic waves and receive echoes;2)4 ultrasonic data acquisition boards,each of which is responsible for receiving ultrasound imaging data with 8 channels,and stored in memory;3)1 ultrasonic control board,which is used to communicate with 4 ultrasonic data acquisition boards and ultrasonic operation software.It is also responsible for receiving data from the acquisition board and sending it to the ultrasonic operation software;4)ultrasonic operation software,responsible for sending instructions as well as receiving and storing ultrasound data.In this system,the ultrasonic data acquisition board takes Xilinx's Spartan-6 series FPGA chip as the control core,the MAX2082 chip as the ultrasonic transceiver,DDR3 as the memory.The ultrasonic control board takes Xilinx's Spartan-3E series FPGA chip as the control core.The CY7C68013 A chip is used as a USB 2.0 chip to communicate with the ultrasonic operation software.In ultrasound imaging methods,the traditional Coherent Plane Wave Compounding(CPWC)can obtain a high synthetic imaging quality by transmitting plane waves from different angles.However,it neglects the coherence of the imaging data.Therefore,we propose a new method for CPWC based on the subarray zero-cross factor(SZF),which can effectively improve the imaging quality.SZF is compared with the coherence factor(CF)and the generalized coherence factor(GCF)through simulation and experimental verification.Results demonstrate that the proposed algorithm has better performance in image contrast and resolution.It has certain value for the clinical application of ultrasound.