Study On Ultrasound Simulation Imaging Technology And Its Evaluation Index

Ultrasound imaging has become one of the main diagnostic tools in hospitals due to its advantages of no radiation and low cost,and is highly recognized by patients and doctors.The interference pattern,which is the speckle noise in ultrasonic image,influences the quality of ultrasonic image.Therefore,different denoising algorithms have been proposed,and in order to evaluate the performance of various denoising algorithms and ensure the effectiveness of performance measurement,the simulation of ultrasonic imaging has become a key and difficult point.For fully developed speckle,based on the Burckhardt speckle formation model,combined with the improvement of interpolation algorithm,the signal to noise ratio(SNR)of the composite image after ultrasonic sector sampling was increased by 0.7232,and combined with the preinsertion of bilinear interpolation,the singularity of geometric image edge caused by late sampling was greatly removed.Based on the principle of not fully developed speckle formation,a new simulation algorithm is proposed,which can effectively simulate the ultrasonic image of this type of noise.This article also puts forward a new evaluation method of ultrasonic image simulation effect,The LM algorithm was applied to histogram distribution fitting of pixel values of similar regions,Three evaluation methods,Kolmogorov-Smirnov tests,Anderson-Darling tests and Chi-Squared tests,were used to evaluate the fitting results,and the significance level obtained was evaluated for the fitting effect.The experimental results show that the two types of ultrasonic images simulated in this paper are very close to the real ultrasonic images in theory and vision.