Clinical Applications of Electrical Conductivity Imaging Using <scp>MRI</scp>

Magnetic resonance imaging (MRI) has emerged as a noninvasive technique for probing the electrical properties of biological tissues: electrical conductivity and relative permittivity. This review focuses on the electrical conductivity and provides a comprehensive overview of applications across both low- and high-frequency regimes. At low frequencies (below 1 MHz), conductivity mapping primarily reflects tissue microstructure and ionic composition. In contrast, at high frequencies (around 100 MHz), tissue conductivity primarily reflects ionic composition. First, we summarize the theoretical foundations, technical developments, and reconstruction algorithms that underpin conductivity imaging, highlighting advances in magnetic resonance electrical impedance tomography, current density imaging, and electrical properties tomography. The main part of the article discusses preclinical and clinical applications, demonstrating the potential and possible roles of conductivity imaging in clinical settings, along with current challenges and emerging applications. Finally, we outline future directions toward integrating conductivity imaging into routine MRI protocols, with the potential to enhance diagnostic precision and therapeutic monitoring. EVIDENCE LEVEL: 1. TECHNICAL EFFICACY: Stage 3.

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Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2026-03-07
DOI
https://doi.org/10.1002/jmri.70279
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical Applications of Electrical Conductivity Imaging Using MRI

D Won Kim, Nitish Katoch, Ilias I. Giannakopoulos, Khin Khin Tha et al.
Journal of Magnetic Resonance Imaging
Electrical and Bioimpedance Tomography
article

Clinical Applications of Electrical Conductivity Imaging Using MRI

D Won Kim, Nitish Katoch, Ilias I. Giannakopoulos, Khin Khin Tha, Rosalind Sadleir, Cihan Göksu, Jierong Luo, Ulrich Katscher, Riccardo Lattanzi, Karin Shmueli, yusuf ziya ider, Kyu‐Jin Jung, Cornelis A. T. van den Berg, Stefano Mandija, Axel Thielscher
article en

Abstract

Magnetic resonance imaging (MRI) has emerged as a noninvasive technique for probing the electrical properties of biological tissues: electrical conductivity and relative permittivity. This review focuses on the electrical conductivity and provides a comprehensive overview of applications across both low- and high-frequency regimes. At low frequencies (below 1 MHz), conductivity mapping primarily reflects tissue microstructure and ionic composition. In contrast, at high frequencies (around 100 MHz), tissue conductivity primarily reflects ionic composition. First, we summarize the theoretical foundations, technical developments, and reconstruction algorithms that underpin conductivity imaging, highlighting advances in magnetic resonance electrical impedance tomography, current density imaging, and electrical properties tomography. The main part of the article discusses preclinical and clinical applications, demonstrating the potential and possible roles of conductivity imaging in clinical settings, along with current challenges and emerging applications. Finally, we outline future directions toward integrating conductivity imaging into routine MRI protocols, with the potential to enhance diagnostic precision and therapeutic monitoring. EVIDENCE LEVEL: 1. TECHNICAL EFFICACY: Stage 3.

Journal of Magnetic Resonance Imaging
Hokkaido University of Science (JP), Izmir Institute of Technology (TR), Philips (Finland) (FI), Başkent University (TR), Utrecht University (NL), Yonsei University (KR), Hokkaido University (JP), Hvidovre Hospital (DK), Teknoloji Arastirma ve Gelistirme Endustriyel Urunler Bilisim Teknolojileri San Tic (TR), Philips (Germany) (DE), University College London (GB), Arizona State University (US), New York University (US), University of California, Berkeley (US), Technical University of Denmark (DK)
Openalex Percentile: Top 30%
Electrical and Bioimpedance Tomography
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