ArticleHuman brain mapping2023
Data-driven electrical conductivity brain imaging using 3 T MRI.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Clinical Applications of Electrical Conductivity Imaging Using MRI.Journal of magnetic resonance imaging : JMRI · 2026Review
- Electrical properties basedMagnetic resonance in medicine · 2025Article
- MR electrical properties mapping using vision transformers and canny edge detectors.Magnetic resonance in medicine · 2025Article
- Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI.Scientific reports · 2024Article
- Data-driven electrical conductivity brain imaging using 3 T MRI.Human brain mapping · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance electrical properties tomography (MR-EPT) is a non-invasive measurement technique that derives the electrical properties (EPs, e.g., conductivity or permittivity) of tissues in the radiofrequency range (64 MHz for 1.5 T and 128 MHz for 3 T MR systems). Clinical studies have shown the potential of tissue conductivity as a biomarker. To date, model-based conductivity reconstructions rely on numerical assumptions and approximations, leading to inaccuracies in the reconstructed maps. To address such limitations, we propose an artificial neural network (ANN)-based non-linear conductivity estimator trained on simulated data for conductivity brain imaging. Network training was performed on 201 synthesized T2-weighted spin-echo (SE) data obtained from the finite-difference time-domain (FDTD) electromagnetic (EM) simulation. The dataset was composed of an approximated T2-w SE magnitude and transceive phase information. The proposed method was tested three in-silico and in-vivo on two volunteers and three patients' data. For comparison purposes, various conventional phase-based EPT reconstruction methods were used that ignore
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