Evidence map›Paper›PMID 38520259›Full record

ArticleMagnetic resonance in medicine2024

Signatures of microstructure in gradient-echo and spin-echo signals.

Pippa Storey, Dmitry S Novikov

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. 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

2 authors.

Pippa StoreyCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA.ORCID 0000-0003-1915-7860
Dmitry S NovikovCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA.ORCID 0000-0002-4213-3050

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
QUANTITATIVE MRI AND 1H-MRS IN TRAUMATIC BRAIN INJURYR01NS039135 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LUI, YVONNE W · 2000 to 2017
$10.1M
Mild Traumatic Brain Injury Unveiled Using Diffusion MRI as an in vivo MicroscopeR01NS119767 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Sohae Chung, Yvonne W Lui · 2021 to 2026
$3.2M
NIBIB NIH HHS P41 EB017183NIH HHS P41 EB017183NIH HHS R01 NS039135NINDS NIH HHS R01 NS039135NINDS NIH HHS R01 NS119767
6 · The paper itself

Abstract

purposeTo determine whether the spatial scale and magnetic susceptibility of microstructure can be evaluated robustly from the decay of gradient-echo and spin-echo signals. THEORY AND

methodsGradient-echo and spin-echo images were acquired from suspensions of spherical polystyrene microbeads of 10, 20, and 40 μm nominal diameter. The sizes of the beads and their magnetic susceptibility relative to the medium were estimated from the signal decay curves, using a lookup table generated from Monte Carlo simulations and an analytic model based on the Gaussian phase approximation.

resultsFitting Monte Carlo predictions to spin-echo data yielded acceptable estimates of microstructural parameters for the 20 and 40 μm microbeads. Using gradient-echo data, the Monte Carlo lookup table provided satisfactory parameter estimates for the 20 μm beads but unstable results for the diameter of the largest beads. Neither spin-echo nor gradient-echo data allowed accurate parameter estimation for the smallest beads. The analytic model performed poorly over all bead sizes.

conclusionsMicrostructural sources of magnetic susceptibility produce distinctive non-exponential signatures in the decay of gradient-echo and spin-echo signals. However, inverting the problem to extract microstructural parameters from the signals is nontrivial and, in certain regimes, ill-conditioned. For microstructure with small characteristic length scales, parameter estimation is hampered by the difficulty of acquiring accurate data at very short echo times. For microstructure with large characteristic lengths, the gradient-echo signal approaches the static-dephasing regime, where it becomes insensitive to size. Applicability of the analytic model was further limited by failure of the Gaussian phase approximation for all but the smallest beads.

Indexed as

AlgorithmsComputer SimulationEcho-Planar ImagingImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMonte Carlo MethodReproducibility of ResultsSensitivity and SpecificityGaussian phase approximationgradient echomagnetic susceptibilitymicrostructureMonte Carlo simulationsspin echo

Identifiers

PMID38520259
PMCPMC11178261

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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.