Evidence map›Paper›PMID 31478841›Full record

ArticleIEEE transactions on medical imaging2020

Imaging Magnetic Nanoparticle Distributions by Atomic Magnetometry-Based Susceptometry.

Simone Colombo, Victor Lebedev, Alexey Tonyushkin, Simone Pengue, Antoine Weis

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2020. 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
0.7field-weighted citation impact, top 32% of its field
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, 23 citations in OpenAlex.

  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 at 3 institutions in 3 countries.

Simone Colombo
Victor Lebedev
Alexey Tonyushkin
Simone Pengue
Antoine Weis
University of Fribourg · CHPhysikalisch-Technische Bundesanstalt · DEUniversity of Massachusetts Boston · US

Funding

A Single-Sided Magnetic Particle Imaging Scanner for In Vivo Breast Cancer ImagingR15EB028535 · NIBIB · UNIVERSITY OF MASSACHUSETTS BOSTON · PI TONYUSHKIN, ALEXEY A · 2019 to 2024
$887k
NIBIB NIH HHS R15 EB028535
6 · The paper itself

Abstract

We introduce a Magnetic Particle Imaging Susceptometer (MPIS) that uses a high-sensitivity atomic magnetometer (AM) for recording the spatial distribution of fluid-suspended magnetic nanoparticles. We have evaluated the MPIS performance by one-dimensional scans of structured nanoparticle phantoms, demonstrating, in particular, resolutions of ≈2.5 mm prior to deconvolution and << 1 mm after deconvolution. Our instrument conceptually follows the general principle of Magnetic Particle Imaging (MPI) for encoding spatial distributions into magnetic flux density variations. Conversely to previously demonstrated MPI methods, MPIS works in time-space by recording time series of the sample's magnetic response including all Fourier components. The device deploys a specifically designed system of coils, a low-frequency excitation scheme, and a simple source localization algorithm. The difference of the AM's frequency response with respect to the conventional receive coil detection allows us to work at much lower driving frequencies. We demonstrate operation at frequencies on the order of 100 Hz, enabling the beneficial use of larger nanoparticles. The spatial distribution encoded into the particles' susceptibility needs a much lower excitation field amplitude compared to conventional MPI scanners. These two features make MPIS least harmful for biological samples and subjects compared to conventional MPI scanners. We also address performance characteristics and other possible applications of MPIS.

Indexed as

AlgorithmsDiagnostic ImagingEquipment DesignMagnetite NanoparticlesMagnetometryPhantoms, ImagingMagnetite Nanoparticles

Identifiers

PMID31478841
PMCPMC10536941
OpenAlexW2970869209

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.