Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
J Mech Behav Biomed Mater. 2011 Nov;4(8):1741-54. doi: 10.1016/j.jmbbm.2011.05.031. Epub 2011 Jun 1.
Results from the application of a novel nonlinear hybrid reconstruction algorithm within a Digital Image Elasto-Tomography (DIET) system are presented. A hybrid reconstruction algorithm was optimized to solve for the elasticity distribution of two heterogeneous silicone phantoms using a shape-based parameterization. The hybrid algorithm achieved comparable performance to Combinatorial Optimization methods with significantly less computational expense. The specificity of three-parameter reconstruction was confirmed by successful reconstruction of a homogeneous silicone phantom, indicating the potential suitability of the DIET system for application to inclusion imaging in elastography.
提出了一种新颖的非线性混合重建算法在数字图像弹性层析成像（DIET）系统中的应用结果。优化了一种混合重建算法，以基于形状的参数化方法求解两个非均质硅树脂模型的弹性分布。混合算法在计算成本显著降低的情况下，达到了与组合优化方法相当的性能。通过对均匀硅树脂模型的成功重建，证实了三参数重建的特异性，表明 DIET 系统有可能适用于弹性成像中的包含物成像。
