Research Of Real Time Ultrasound Elastography In Human Tissues

Ultrasonic Elastography can get the elasticity and stiffness information ofbiological tissue, overcome the shortcomings of the traditional palpation methodwhich is subjective and the diagnosis made by different doctor in different periodsisn’t comparable, can apply to the process of the clinical diagnosis of tumor andother disease. Real time ultrasonic elastography only exists in the individualhigh-end ultrasonic systems due to the time complexity of the algorithm forultrasonic elastography, so, the study of real-time ultrasonic elastography ismeaningful.This paper introduces the research background and research status both at homeand abroad, based on the actual real-time ultrasounic elastography system imagingprocess is the main line of this paper, from the practical point of view expounded thewhole process of compression elastography. First, this paper introduced the datasources of elastography, including the collection of experimental simulation dataand actual data. Second, carry out the correlation analysis, estimate displacement/strain distribution of tissue compression. Finally, process the strain results anddisplay it with color.Displacement/strain estimate is an important factor in real-time imagingsystem, thus reducing the displacement/strain estimation algorithm’s timecomplexity is the object of study. The most common method of elastography iscross-correlation method, this paper studied the traditional1-D combinedautocorrelation method, taking into account the impact of tissue side-slipping,2-Dcombined autocorrelation method have a strong inclusion detection capabilities andelastography signal-to-noise. However, the traditional method is not suitable for realtime elastography for its high computational complexity. The movingcross-correlation function calculation method can reduce the computational cost to agreat extent and make it suitable for real-time elasticity imaging system.In order to further reduce the computational number of operations. This articleimproved the iterative phase zero estimation, put forward a lateral tracking basedphase zero estimation method and algorithm extended to two-dimensional. A lateraltracking based phase zero estimation method and two-dimensional iterative phasezero method are only one iteration and can get a better estimate of the results, so thecalculation is smaller. By verifying the simulation results and analyzing thecomputational cost, the method based on phase to evaluate displacement/strain canimprove the robustness, has higher accuracy than the cross-correlation algorithm and more suitable for real-time systems.