Evidence map›Paper›PMID 40418609›Full record

ArticleIEEE transactions on bio-medical engineering2025

Global Maxwell Tomography Using the Volume-Surface Integral Equation for Improved Estimation of Electrical Properties.

Ilias I Giannakopoulos, Jose E Cruz Serralles, Jan Paska, Martijn A Cloos, Ryan Brown, Riccardo Lattanzi

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ilias I Giannakopoulos
Jose E Cruz Serralles
Jan Paska
Martijn A Cloos
Ryan Brown
Riccardo Lattanzi

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Novel Software Tools for Rational Design and Assessment of MR CoilsR01EB024536 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Riccardo Lattanzi · 2017 to 2026
$5.1M
Open-Source Software Tools for Rapid Radiofrequency Coil Modeling and Simulation in MRIK99EB035163 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GIANNAKOPOULOS, ILIAS · 2024 to 2025
$233k
NIBIB NIH HHS K99 EB035163NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB024536
6 · The paper itself

Abstract

objectiveGlobal Maxwell Tomography (GMT) is a noninvasive inverse optimization method for the estimation of electrical properties (EP) from magnetic resonance (MR) measurements. GMT uses the volume integral equation (VIE) in the forward problem and assumes that the sample has negligible effect on the coil currents. Consequently, GMT calculates the coil's incident fields with an initial EP distribution and keeps them constant for all optimization iterations. This can lead to erroneous reconstructions. This work introduces a novel version of GMT that replaces VIE with the volume-surface integral equation (VSIE), which recalculates the coil currents at every iteration based on updated EP estimates before computing the associated fields.

methodsWe simulated an 8-channel transceiver coil array for 7 T brain imaging and reconstructed the EP of a realistic head model using VSIE-based GMT. We built the coil, collected experimental MR measurements, and reconstructed EP of a two-compartment phantom.

resultsIn simulations, VSIE-based GMT outperformed VIE-based GMT by at least 12% for both EP. In experiments, the relative difference with respect to probe-measured EP values in the inner (outer) compartment was 13% (26%) and 17% (33%) for the permittivity and conductivity, respectively.

conclusionThe use of VSIE over VIE enhances GMT's performance by accounting for the effect of the EP on the coil currents. SIGNIFICANCE: VSIE-based GMT does not rely on an initial EP estimate, rendering it more suitable for experimental reconstructions compared to the VIE-based GMT.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingTomographyAlgorithmsBrainComputer SimulationHeadHumansPhantoms, Imaging

Identifiers

PMID40418609
PMCPMC12642828

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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.