Dehghani Hamid, Soleimani Manuchehr
School of Physics, University of Exeter, UK.
Physiol Meas. 2007 Jul;28(7):S45-55. doi: 10.1088/0967-3334/28/7/S04. Epub 2007 Jun 26.
Electrical impedance tomography (EIT) is a non-invasive technique that aims to reconstruct images of internal impedance values of a volume of interest, based on measurements taken on the external boundary. Since most reconstruction algorithms rely on model-based approximations, it is important to ensure numerical accuracy for the model being used. This work demonstrates and highlights the importance of accurate modelling in terms of model discretization (meshing) and shows that although the predicted boundary data from a forward model may be within an accepted error, the calculated internal field, which is often used for image reconstruction, may contain errors, based on the mesh quality that will result in image artefacts.
电阻抗断层成像（EIT）是一种非侵入性技术，旨在根据在外部边界进行的测量来重建感兴趣体积的内部阻抗值图像。由于大多数重建算法依赖基于模型的近似，因此确保所使用模型的数值准确性非常重要。这项工作展示并强调了在模型离散化（网格化）方面精确建模的重要性，并表明尽管正向模型预测的边界数据可能在可接受的误差范围内，但基于网格质量，通常用于图像重建的计算内部场可能包含误差，这将导致图像伪影。
