Evidence map›Paper›PMID 33905831›Full record

ArticleMagnetic resonance imaging2021

A simple, open and extensible gating Control unit for cardiac and respiratory synchronisation control in small animal MRI and demonstration of its robust performance in steady-state maintained CINE-MRI.

Stuart Gilchrist, Paul Kinchesh, Veerle Kersemans, John Beech, Danny Allen, Michael Brady, Borivoj Vojnovic, Jurgen Schneider, Jack Miller, Sean Smart

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Stuart GilchristDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: stuart.gilchrist@oncology.ox.ac.uk.
Paul KincheshDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: paul.kinchesh@oncology.ox.ac.uk.
Veerle KersemansDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: veerle.kersemans@oncology.ox.ac.uk.
John BeechDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: john.beech@oncology.ox.ac.uk.
Danny AllenDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: danny.allen@oncology.ox.ac.uk.
Michael BradyDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: mike.brady@oncology.ox.ac.uk.
Borivoj VojnovicDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: boris.vojnovic@oncology.ox.ac.uk.
Jurgen SchneiderLeeds Institute of Cardiovascular & Metabolic Medicine, University of Leeds, Leeds LS2 9DA, United Kingdom. Electronic address: j.e.schneider@leeds.ac.uk.
Jack MillerClarendon Laboratory, Department of Physics, Parks Road, Oxford OX1 3PU, United Kingdom; Department of Physiology Anatomy and Genetics, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom; Oxford Centre for Clinical Magnetic Resonance Research, Level 0, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom. Electronic address: jack.miller@physics.org.
Sean SmartDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX3 7DQ, United Kingdom. Electronic address: sean.smart@ndcn.ox.ac.uk.
University of Oxford · GBUniversity of Leeds · GB

Funding

Cancer Research UK C2522/A10339Cancer Research UK C5255/A12678Medical Research Council
6 · The paper itself

Abstract

Prospective cardiac gating during MRI is hampered by electromagnetic induction from the rapidly switched imaging gradients into the ECG detection circuit. This is particularly challenging in small animal MRI, as higher heart rates combined with a smaller myocardial mass render routine ECG detection challenging. We have developed an open-hardware system that enables continuously running MRI scans to be performed in conjunction with cardio-respiratory gating such that the relaxation-weighted steady state magnetisation is maintained throughout the scan. This requires that the R-wave must be detected reliably even in the presence of rapidly switching gradients, and that data previously acquired that were corrupted by respiratory motion re-acquired. The accurately maintained steady-state magnetisation leads to an improvement in image quality and removes alterations in intensity that may otherwise occur throughout the cardiac cycle and impact upon automated image analysis. We describe the hardware required to enable this and demonstrate its application and robust performance using prospectively cardio-respiratory gated CINE imaging that is operated at a single, constant TR. Schematics, technical drawings, component listing and assembly instructions are made publicly available.

Indexed as

Cardiac-Gated Imaging TechniquesMagnetic Resonance Imaging, CineAnimalsHeartMagnetic Resonance ImagingProspective StudiesCardiac imagingCINEProspective gatingSteady state

Identifiers

PMID33905831
PMCPMC8274699
OpenAlexW3158059326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.