Evidence map›Paper›PMID 42473086›Full record

ArticleMagnetic resonance in medicine2026

Comparative Performance Analysis of an Open Source Motion-Compensated Cardiac Diffusion Sequence Across Different MRI Systems and Gradient Strengths-A Pilot Study.

Eric Arbes, Ariel Hannum, Johannes Fischer, Qingping Chen, Sebastian Littin, Alexander Maier, Michael Bock, Simon Reiss

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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

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

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

8 authors.

Eric ArbesDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0001-8498-2600
Ariel HannumDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0003-0650-574X
Johannes FischerDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-1499-6163
Qingping ChenDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-8719-7672
Sebastian LittinDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-8190-1761
Alexander MaierDepartment of Cardiology and Angiology, University Heart Center Freiburg-Bad Krozingen, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-0200-7495
Michael BockDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0001-9720-3506
Simon ReissDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-2449-1679

Funding

Deutsche Forschungsgemeinschaft 492563001Deutsche Forschungsgemeinschaft 494790146Deutsche Forschungsgemeinschaft 566159812Deutsche Forschungsgemeinschaft INST 39/1365-1
6 · The paper itself

Abstract

purposeTo validate the performance of an open-source cardiac diffusion sequence framework and to investigate hardware-based performance differences.

methodsThree second order motion compensated sequence files were compiled using Pulseq and applied across different MRI systems to image five volunteers. DTI and SNR analysis was performed to investigate protocol efficacy.

resultsThe sequences performed well at the task of imaging short axis views of the myocardium and producing data suitable for diffusion tensor imaging analysis. Significant differences in sequence performance across different systems and within the same system were revealed. Relative SNR utilizing the strongest available gradient system yielded up to 80% more SNR than the weakest tested system. Relative SNR obtained from the same sequence at different scanners differed by up to 42%, suggesting hardware impacts that warrant further investigation.

conclusionThe presented sequence framework allows for an easy starting point into cardiac diffusion tensor imaging and opens the door to further analysis of hardware impacts on performance.

Indexed as

ArtifactsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHeartImage EnhancementImage Interpretation, Computer-AssistedAdultAlgorithmsHumansMaleMotionPilot ProjectsReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise Ratiocardiac diffusion imagingdiffusion tensor imagingopen sourcevendor‐independent pulse sequence programming

Identifiers

PMID42473086
PMCPMC13619877

What OpenQuestion holds

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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.