EIT Simulated Dataset

该数据集是为了评估解决电学成像技术（EIT）逆问题方法而生成的模拟圆形幻影。它包含了不同场景下的变量电导率情况，其中包括了模拟真实医疗成像条件的非重叠椭圆形杂质。该数据集的任务是对电导率分布的图像重建与分析。This dataset consists of simulated circular phantoms generated to evaluate methods for solving the inverse problem of electrical impedance tomography (EIT). It encompasses variable conductivity scenarios across different contexts, including non-overlapping elliptical inclusions that simulate realistic medical imaging conditions. The core task of this dataset centers on image reconstruction and analysis of conductivity distributions.

搜集汇总

背景与挑战

背景概述

该数据集是用于电阻抗断层扫描（EIT）研究的模拟数据集，包含均匀、可变和恒定电导率的样本数据，每个样本包含边界电流、电压和电导率等信息，通过MATLAB脚本生成。