A 3D reconstruction algorithm for EIT using a handheld probe for breast cancer detection
A 3D reconstruction algorithm for EIT using a handheld probe for breast cancer detection
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DOI：
10.1088/0967-3334/27/5/s01
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发表时间：
2006-05-01
影响因子：
3.2
通讯作者：
Saulnier, GJ
中科院分区：
文献类型：
--
作者：
Kao, TJ;Isaacson, D;Saulnier, GJ
提出了一种用于电阻抗断层扫描的 3D 重建算法，用于在给定表面上进行的电测量的情况下确定体内电特性的分布。本文对 Mueller 等人 (1999 IEEE Trans. Biomed. Eng. 46 1379-86) 开发的在手持式探针几何形状中使用平面电极阵列的线性化重建算法进行了改进和扩展。该算法基于关于恒定值的电导率的线性化。通过结合使用两种正则化方案和加权网格，我们延长了电极下方可以对目标进行成像的距离。 Tikhonov 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。
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 I cm cube 4 cm away from the array. The weighted mesh allows use of fixed regularization parameters for all depths of the target.