Objective: To present the first 3D CGO-based absolute EIT reconstructions from experimental tank data. Approach: CGO-based methods for absolute EIT imaging are compared to traditional TV regularized non-linear least squares reconstruction methods. Additional robustness testing is performed by considering incorrect model\textbf{}ing of domain shape. Main Results: The CGO-based methods are fast, and show strong robustness to incorrect domain modeling comparable to classic difference EIT imaging and fewer boundary artefacts than the TV regularized non-linear least squares reference reconstructions. Significance: This work is the first to demonstrate fully 3D CGO-based absolute EIT reconstruction on experimental data and also compares to TV-regularized absolute reconstruction. The speed (1-5 seconds) and quality of the reconstructions is encouraging for future work in absolute EIT.
翻译:主要结果:基于3D的CGO绝对经济转型期的首次重建用实验坦克数据进行。方法:基于CGO的绝对经济转型期成像方法与传统的电视非线性最低平方重建方法比较,通过考虑领域形状不正确的模型来进行额外的稳健性测试。主要结果:基于CGO的方法是快速的,表现出很强的活力,以不正确的域为模型,与经典的经济转型期成像不同,比电视正规非线性最低平方参考的成像较少。意义:这项工作首次展示了基于3D的CGO绝对经济转型期重建实验数据,也与电视正规化绝对重建相比。重建的速度(1-5秒)和质量对绝对经济转型期的未来工作是令人鼓舞的。