Kao Tzu-Jen, Isaacson D, Newell J C, Saulnier G J
Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA.
Physiol Meas. 2006 May;27(5):S1-11. doi: 10.1088/0967-3334/27/5/S01. Epub 2006 Apr 18.
A 3D reconstruction algorithm for electrical impedance tomography is presented for determining the distribution of electrical properties inside the body, given electrical measurements made on the surface. A linearized reconstruction algorithm using planar electrode arrays in a handheld probe geometry developed by Mueller et al (1999 IEEE Trans. Biomed. Eng. 46 1379-86) has been refined and extended in this paper. This algorithm is based on linearizing the conductivity about a constant value. We have extended the distance below the electrodes at which a target can be imaged by using a combination of two regularization schemes and a weighted mesh. An appropriate combination of Tikhonov and NOSER regularization produces satisfactory static images of a 2 cm cube placed 2 cm below the array, and difference images of a 1 cm cube 4 cm away from the array. The weighted mesh allows use of fixed regularization parameters for all depths of the target.
本文提出了一种用于电阻抗断层成像的三维重建算法，用于根据在体表进行的电测量来确定体内电特性的分布。本文对Mueller等人（1999年，《IEEE生物医学工程汇刊》46卷，第1379 - 1386页）开发的使用手持探头几何结构中的平面电极阵列的线性化重建算法进行了改进和扩展。该算法基于将电导率围绕一个恒定值进行线性化。我们通过结合两种正则化方案和加权网格，扩展了电极下方能够对目标进行成像的距离。蒂霍诺夫正则化和NOSER正则化的适当组合，可生成放置在阵列下方2厘米处的2厘米立方体的令人满意的静态图像，以及距离阵列4厘米处的1厘米立方体的差异图像。加权网格允许对目标的所有深度使用固定的正则化参数。
