ReviewDiagnostics (Basel, Switzerland)2021
Electrical Properties Tomography: A Methodological Review.
Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Radiofrequency electrical conductivity reveals a distinct dimension of early human brain development.Scientific reports · 2026Article
- Clinical Applications of Electrical Conductivity Imaging Using MRI.Journal of magnetic resonance imaging : JMRI · 2026Review
- Standardization of MR Electrical Properties Tomography: A Guideline From the ISMRM Electro-Magnetic Tissue Properties Study Group.Journal of magnetic resonance imaging : JMRI · 2026Article
- Ticept: Wideband Electrical Properties Tomography by Tissue Composition Assessment With QuantitativeMagnetic resonance in medicine · 2026Article
- Roadmap towards personalized approaches and safety considerations in non-ionizing radiation: from dosimetry to therapeutic and diagnostic applications.Physics in medicine and biology · 2026Review
- MR Electrical Properties Tomography Acquisitions: A Guideline From the ISMRM Electro-Magnetic Tissue Properties Study Group.Journal of magnetic resonance imaging : JMRI · 2026Article
- Electrical properties basedMagnetic resonance in medicine · 2025Article
- Feasibility study of subject-specific, brain specific-absorption-rate maps retrieved from MRI data.Magnetic resonance in medicine · 2025Article
- Article
- Fast bias-corrected conductivity mapping using stimulated echoes.Magma (New York, N.Y.) · 2024Article
- Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI.Scientific reports · 2024Article
- Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation.IEEE open journal of engineering in medicine and biology · 2024Article
- Use of machine learning to improve the estimation of conductivity and permittivity based on longitudinal relaxation time T1 in magnetic resonance at 7 T.Scientific reports · 2023Article
- High frequency conductivity decomposition by solving physically constraint underdetermined inverse problem in human brain.Scientific reports · 2023Article
- Repeatability and Reproducibility Uncertainty in Magnetic Resonance-Based Electric Properties Tomography of a Homogeneous Phantom.Tomography (Ann Arbor, Mich.) · 2023Article
- Correlation analysis between the complex electrical permittivity and relaxation time of tissue mimicking phantoms in 7 T MRI.Scientific reports · 2022Article
- Ultrafast B1 mapping with RF-prepared 3D FLASH acquisition: Correcting the bias due to TMagnetic resonance in medicine · 2022Article
- Comparison of Five Conductivity Tensor Models and Image Reconstruction Methods Using MRI.Molecules (Basel, Switzerland) · 2021Article
- Mini Review: Impedance Measurement in Neuroscience and Its Prospective Application in the Field of Surgical Neurooncology.Frontiers in neurology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.