Leijsen Reijer, Brink Wyger, van den Berg Cornelis, Webb Andrew, Remis Rob
Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, 2333ZA Leiden, The Netherlands.
Computational Imaging Group for MRI Diagnostics and Therapy, Centre for Image Sciences, University Medical Centre Utrecht, 3508GA Utrecht, The Netherlands.
Diagnostics (Basel). 2021 Jan 26;11(2):176. doi: 10.3390/diagnostics11020176.
Electrical properties tomography (EPT) is an imaging method that uses a magnetic resonance (MR) system to non-invasively determine the spatial distribution of the conductivity and permittivity of the imaged object. This manuscript starts by providing clear definitions about the data required for, and acquired in, EPT, followed by comprehensively formulating the physical equations underlying a large number of analytical EPT techniques. This thorough mathematical overview of EPT harmonizes several EPT techniques in a single type of formulation and gives insight into how they act on the data and what their data requirements are. Furthermore, the review describes machine learning-based algorithms. Matlab code of several differential and iterative integral methods is available upon request.
电阻抗断层成像(EPT)是一种成像方法,它利用磁共振(MR)系统来无创地确定成像对象的电导率和介电常数的空间分布。本文首先明确了EPT所需数据以及采集到的数据的定义,接着全面阐述了大量解析EPT技术背后的物理方程。对EPT进行的这种全面数学概述将多种EPT技术统一在一种公式类型中,深入揭示了它们如何处理数据以及对数据的要求。此外,该综述还描述了基于机器学习的算法。如有需要,可提供几种微分和迭代积分方法的Matlab代码。