Zhu Yanning, Hall Timothy J, Jiang Jingfeng
Department of Radiology, The University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160-7234, USA.
IEEE Trans Med Imaging. 2003 Jul;22(7):890-901. doi: 10.1109/TMI.2003.815065.
Modulus imaging has great potential in soft-tissue characterization since it reveals intrinsic mechanical properties. A novel Young's modulus reconstruction algorithm that is based on finite-element analysis is reported here. This new method overcomes some limitations in other Young's modulus reconstruction methods. Specifically, it relaxes the force boundary condition requirements so that only the force distribution at the compression surface is necessary, thus making the new method more practical. The validity of the new method is demonstrated and the performance of the algorithm with noise in the input data is tested using numerical simulations. Details of how to apply this method under clinical conditions is also discussed.
模量成像在软组织特征描述方面具有巨大潜力,因为它能揭示内在力学特性。本文报道了一种基于有限元分析的新型杨氏模量重建算法。这种新方法克服了其他杨氏模量重建方法中的一些局限性。具体而言,它放宽了力边界条件要求,使得仅需压缩表面处的力分布,从而使新方法更具实用性。通过数值模拟验证了新方法的有效性,并测试了输入数据存在噪声时算法的性能。还讨论了在临床条件下应用该方法的细节。