Borsic A, McLeod C, Lionheart W, Kerrouche N
School Of Engineering, Oxford Brookes University, UK.
Physiol Meas. 2001 Feb;22(1):77-83. doi: 10.1088/0967-3334/22/1/310.
Electrical impedance tomography is a technique that permits estimation of resistivity within a subject by reconstructing from boundary measurements. Due to the ill conditioning of the problem, images are greatly affected by boundary errors. Reconstruction algorithms account for boundary shape and electrode position by using a forward solver. In this paper is presented the realization of a 2D realistic thoracic model as a better approach compared to circular meshing. Several meshes with different discretizations are compared in terms of accuracy with a complete electrode model forward solver. By comparing the different discretizations it is possible to choose an appropriate mesh density for the 2D EIT problem.
电阻抗断层成像技术是一种通过边界测量进行重建来估计受试者体内电阻率的技术。由于该问题的不适定性，图像受边界误差的影响很大。重建算法通过使用正向求解器来考虑边界形状和电极位置。本文提出了一种二维逼真胸部模型的实现方法，与圆形网格划分相比，这是一种更好的方法。使用完整电极模型正向求解器，比较了几种具有不同离散化的网格在精度方面的差异。通过比较不同的离散化，可以为二维电阻抗断层成像问题选择合适的网格密度。
