Evidence map›Paper›PMID 30095085›Full record

ArticlePhysics in medicine and biology2018

Benchtop magnetic particle relaxometer for detection, characterization and analysis of magnetic nanoparticles.

Nicolas Garraud, Rohan Dhavalikar, Mythreyi Unni, Shehaab Savliwala, Carlos Rinaldi, David P Arnold

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Nicolas GarraudDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32608, United States of America.
Rohan DhavalikarDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32608, United States of America.
Mythreyi UnniDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32608, United States of America.
Shehaab SavliwalaDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32608, United States of America.
Carlos RinaldiDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32608, United States of America.
David P ArnoldDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32608, United States of America.

Funding

Modeling of the Magnetic Particle Imaging Signal Due to Magnetic NanoparticlesR21EB018453 · NIBIB · UNIVERSITY OF FLORIDA · PI RINALDI-RAMOS, CARLOS M · 2015 to 2016
$387k
NIBIB NIH HHS R21 EB018453
6 · The paper itself

Abstract

This paper presents the design, construction, and testing of a magnetic particle relaxometer (MPR) to assess magnetic nanoparticle response to dynamic magnetic fields while subjected to a bias field. The designed MPR can characterize magnetic particles for use as tracers in magnetic particle imaging (MPI), with the variation of an applied bias field emulating the scan of the MPI field free point. The system applies a high-frequency time-varying excitation field (up to 45 mT at 30 kHz), while slowly ramping a bias field (±100 mT in 1 s). The time-resolved response of the sample is measured using an inductive sensing coil system, made of a pick-up coil and a rotating and translating balancing coil to finely cancel the induction feed-through from the excitation field. A post-processing algorithm is presented to extract the tracer response related to the point spread function for MPI applications, and the performance of the MPR is demonstrated using superparamagnetic iron oxide particles (ferucarbotran).

Indexed as

AlgorithmsDextransMagnetic Resonance SpectroscopyMagnetite NanoparticlesDextransferumoxidesMagnetite Nanoparticles

Identifiers

PMID30095085
PMCPMC6201298

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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.