Evidence map›Paper›PMID 31796392›Full record

ArticleIEEE transactions on medical imaging2020

Optimization of Drive Parameters for Resolution, Sensitivity and Safety in Magnetic Particle Imaging.

Zhi Wei Tay, Daniel W Hensley, Prashant Chandrasekharan, Bo Zheng, Steven M Conolly

Abstract 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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

5 authors.

Zhi Wei Tay
Daniel W Hensley
Prashant Chandrasekharan
Bo Zheng
Steven M Conolly

Funding

In Vivo Therapeutic Cell Tracking by Advanced Magnetic Particle ImagingR01EB024578 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2017 to 2020
$2.2M
Pre-clinical quantitation of ovarian cancer tumor burden using Magnetic Particle Imaging and non-dilutive cell labelingR01EB019458 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI BELL, CALEB B., CONOLLY, STEVEN M · 2015 to 2018
$1.9M
Magnetic Particle Imaging for High-Resolution Functional Brain ImagingR01EB029822 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2020 to 2020
$815k
NIBIB NIH HHS R01 EB019458NIBIB NIH HHS R01 EB024578NIBIB NIH HHS R01 EB029822
6 · The paper itself

Abstract

Magnetic Particle Imaging is an emerging tracer imaging modality with zero background signal and zero ionizing radiation, high contrast and high sensitivity with quantitative images. While there is recent work showing that the low amplitude or low frequency drive parameters can improve MPI's spatial resolution by mitigating relaxation losses, the concomitant decrease of the MPI's tracer sensitivity due to the lower drive slew rates was not fully addressed. There has yet to be a wide parameter space, multi-objective optimization of MPI drive parameters for high resolution, high sensitivity and safety. In a large-scale study, we experimentally test 5 different nanoparticles ranging from multi to single-core across 18.5 nm to 32.1 nm core sizes and across an expansive drive parameter range of 0.4 - 416 kHz and 0.5 - 40 mT/ μ

Indexed as

NanoparticlesTomographyMagnetic PhenomenaPhantoms, Imaging

Identifiers

PMID31796392
PMCPMC8034762

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Registered trials

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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.