基于瞬时弹性成像的粘弹性测量自适应误差补偿

传统方法，基于超声瞬时弹性成像，利用粘弹性逆问题建模分析的方法，可以简单的求解生物软组织的粘弹性系数。但是由于一些因素导致这种测量方法存在测量误差。其中激励源半径和近场效应是导致瞬时弹性成像对剪切波速度高估的主要原因，而衍射效应则是导致对剪切波衰减高估的因素。本文通过对组织进行建模分析，设计出相关自适应误差校正方法来减少剪切波速度和位移衰减的测量误差。实验结果和理论结果相符合，验证了该方法的正确性，为粘弹性精确测量提供一条有效的方法。

A Self-Adapting Bias Correction for Viscoelastic Properties Measured by Transient Elastography

Transient elastography can be used to measure the viscoelastic properties of soft tissues using a simple inverse problem approach. However, there is measuring bias in this method due to several factors, e.g. radius of disk load and nearfield effect is the main reason for overestimating the shear velocity, and diffraction effect leads the measurement of shear attenuation to be overestimated. A self-adapting method is proposed to correct both the shear velocity and attenuation biases in our study. Theoretical and experimental results are in good agreement, and this new method is proved to be an effective way to correct the viscoelastic properties bias measured by transient elastography.