arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2406.02570physics.med-ph
收藏

电导率与电极放置变异性:评估二维电阻抗断层成像中的Cramer-Rao下界

Conductivity and Electrode Placement Variability: Evaluating the Cramer-Rao Lower Bound in 2D Electrical Impedance Tomography

Georgii Kormakov, Nikolay Koshev

AI总结:

本文提出利用Cramer-Rao下界分析二维电阻抗断层成像系统灵敏度,比较标准与受限DtN正向模型,揭示电极配置对FEM单元灵敏度的影响,旨在弥合硬件实现与理论模型间的差距。

摘要:

电阻抗断层成像(Electrical Impedance Tomography, EIT)是一种非侵入性成像方式,因在实时监测各种生理参数方面的潜力而备受关注。尽管前景广阔,EIT的灵敏度和分辨率仍是活跃的研究领域。本文提出了一种利用Cramer-Rao下界(CRLB)分析EIT系统灵敏度的新方法。该统计工具为无偏估计量的方差提供了理论下界。为模拟EIT完整周期,我们比较了两种正向模型:标准Dirichlet-to-Neumann(DtN)和受限DtN。通过在采用有限元法(FEM)建模的二维圆形区域上施加CRLB,并设置多种电导率模式,我们展示了电极配置对每个基本FEM单元灵敏度的影响。此外,还给出了不同电导率模式下对小扰动的灵敏度。本文旨在弥合广泛使用的硬件实现标准正向DtN模型与理论认可的受限DtN之间的差距。最后,我们讨论了本研究的动机,以及我们的工作为实践中受限DtN逆模型引入的目标。

英文摘要:

Electrical Impedance Tomography (EIT) is a non-invasive imaging modality that has earned significant attention for its potential in real-time monitoring of various physiological parameters. Despite its promise, the sensitivity and resolution of EIT remain areas of active research. This article presents a new way to analyse the sensitivity of EIT systems using the Cramer-Rao Lower Bound (CRLB). This statistical tool provides a theoretical lower bound on the variance of unbiased estimators. To simulate the EIT full cycle, we compared two forward models: standard Dirichlet-to-Neumann (DtN) and restricted DtN. By taking the CRLB over modelled with Finite Elements Method (FEM) 2D circular area with various conductivity patterns, we showed the influence of electrode configuration on each basic FEM element sensitivity. Also, the sensitivity on small perturbations for different conductivity patterns was offered. This article aims to bridge the gap between the research of widely used hardware implementations standard forward DtN model and theoretically approved restricted DtN. We conclude with a discussion on the motivation behind this research and the objectives our work introduces for the inverse restricted DtN model in practice.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑