Evidence map›Paper›PMID 41612164›Full record

ArticleMagnetic resonance in medicine2026

An Open-Source Software Toolbox for Rapid Radiofrequency Coil Design and Evaluation in MRI.

Ilias I Giannakopoulos, Bei Zhang, José E Cruz Serrallés, Ryan Brown, Riccardo Lattanzi

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Ilias I GiannakopoulosDepartment of Radiology, The Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-2180-5898
Bei ZhangAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-9718-1594
José E Cruz SerrallésDepartment of Radiology, The Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-3323-5688
Ryan BrownDepartment of Radiology, The Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-2683-712X
Riccardo LattanziDepartment of Radiology, The Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-8240-5903

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 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
A Novel Open-Source Optimization Framework for the Design and Simulation of Radiofrequency Coils for Magnetic Resonance ImagingR01EB036483 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Riccardo Lattanzi · 2025 to 2026
$1.3M
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
Cancer Prevention and Research Institute of Texas RR180056NIBIB NIH HHS K99 EB035163NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB024536NIBIB NIH HHS R01 EB036483NIH HHS K99 EB035163NIH HHS P41 EB017183NIH HHS R01 EB024536NIH HHS R01 EB036483
6 · The paper itself

Abstract

purposeImage quality and resolution in MRI are fundamentally constrained by the performance of radiofrequency (RF) coils used to excite the spins and receive the signal. Electromagnetic (EM) simulations are essential for optimizing coil performance. Existing tools are often slow, memory-intensive, and require expensive licenses. To address these limitations, we introduce a novel, comprehensive, open-source EM simulation tool for RF coil design in MRI. THEORY AND

methodsOur toolbox consists of four complementary software components: (1) a full-wave 3D EM solver based on the wire-surface-volume integral equation (WSVIE), where tensor decompositions reduce memory usage and accelerate simulations for fine body model resolutions; (2) a reduced-order model technique enabling patient-specific coil simulations in minutes; (3) a fully automatic circuit co-simulator for coil tuning, matching, decoupling, preamplifier decoupling, and detuning; and (4) a numerical EM basis generator that can be used to compute ultimate performance metrics. We demonstrated the toolbox with a series of simulations for different applications at 7 T MRI.

resultsOur proposed reduced-order model WSVIE solver was 70 times faster compared to a commercial solver for the simulation of a 31-channel 7 T head coil. Our co-simulator tuned, matched, and decoupled the array in 30 min, compared to a few days time of manual interactions needed with the commercial package. The average difference between the signal-to-noise ratio maps was less than 15%.

conclusionThe proposed open-source simulation framework enables fast, memory-friendly, accurate, and anatomy-specific RF coil array design, making it a powerful tool for RF coil engineering.

Indexed as

Magnetic Resonance ImagingSoftwareAlgorithmsComputer SimulationEquipment DesignHumansPhantoms, ImagingRadio WavesReproducibility of Resultscomputational electromagneticsintegral equationsmodel order reductionnumerical linear algebraopen‐source softwareoptimizationradiofrequency coils

Identifiers

PMID41612164
PMCPMC13162148

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Registered trials

None linked

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.