Evidence map›Paper›PMID 40785293›Full record

ArticleMagnetic resonance in medicine2025

DIM: A diffusion instability measure for MRI quality assurance.

Tim Schmidt, Zoltan Nagy

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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

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3 · Its place in the literature

Who cites it

1 citing paper 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

2 authors.

Tim SchmidtLaboratory for Social and Neural Systems Research (SNS Lab), University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0135-6335
Zoltan NagyLaboratory for Social and Neural Systems Research (SNS Lab), University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-6611-6362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the presented work is to develop a diffusion instability measure (DIM) that can be used in quality assurance.

methodsSingle-shot, spin-echo, echo-planar imaging HARDI diffusion data sets were collected on a spherical silicone oil phantom with 64 different diffusion directions on a 3T Philips Achieva and a 3T Siemens Cima.X scanner with similar acquisition protocols. A few data sets on the Philips Achieva included concurrent magnetic field monitoring. A correlation coefficient matrix among the diffusion directions for each data set was calculated, and subsequently, one minus its eigenratio was defined as the DIM.

resultsThe DIM values ranged between about 5000 and 280 000 ppm across the data sets. The worst and best image quality-and hence the highest and lowest DIM values-were observed for b-value = 4000 s/mm

conclusionDIM is a sensitive tool for evaluating image quality in HARDI scans on a quantitative basis. It is simple to implement without the need for hardware or software modifications.

Indexed as

ArtifactsDiffusion Magnetic Resonance ImagingImage Interpretation, Computer-AssistedQuality Assurance, Health CareAlgorithmsHumansPhantoms, ImagingReproducibility of ResultsSensitivity and Specificitydiffusioninstabilitymagnetic field monitoringMRIquality assurance

Identifiers

PMID40785293
PMCPMC12501680

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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.