Ultrasonographic Simulation Of Mixed Distribution Of Isolated Cysts

At present, the development of medical ultrasound imaging is very quick, and clinical application is getting more and more widely. Because human diseased tissue is very special and sensitive for the ultrasound, medical ultrasound imaging has become the important method to check and diagnosis the diseased tissue and organs. In recent years, the research on the ultrasonic imaging of renal disease has become a branch of the diseased tissue and organs. However, because of the limit of date source, the interference of unstable noise, and most of people have not much knowledge about the some physiological structure and function of the kidney tissue including the mechanism of the disease in clinical practice, which greatly reduces the accuracy of the diagnosis of kidney disease. With the help of computer simulation of ultrasonic imaging, we have achieved some success of the disease of the kidney. When using computer software to simulate kidney, they adopted position for the uniform distribution, amplitude for the Gauss distribution model of scattering point in the modeling phase, however, the overall simulation method does not take into account the differences of tissues, the simulation of the anisotropy is not organized, and lost a lot of important medical information. So it becomes the urgent problem to be solved to how to improve the quality of simulation imaging.So, this essay offers a new ideal to simulate the solitary cyst of kidney, which is basic of a mixed distribution ideal of scattering point distribution model. The new organized scattering point distribution model is based on accurate segmentation by hand for human tissue and organ with different acoustic properties, combination the shape of scattering point distribution,density and so on with distribution rule of the ultrasonic echo spots, and three distribution models mixed on Rayleigh Distribution, Rice distribution, K distribution, then simulation experiment is carried out by setting different parameters such as center frequency, the group and the clinical practice consistent simulation B ultrasound image in the environment of simulation software FIELD II, which get simulation B ultrasound images which is same as clinical results.In the end of the article, this thesis put the result image and the clinical practical image quantitative comparison analysis, the comparative analysis of the results further verify the superiority of the thought of mixed distribution of tissue segmentation in ultrasound simulation, accuracy and stability of FIELD II software in the process of ultrasonic simulation system.