Evidence map›Paper›PMID 38290615›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2024

Reducing clustering of readouts in non-Cartesian cine magnetic resonance imaging.

Datta Singh Goolaub, Christopher K Macgowan

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2024. 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 41% 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, 1 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

2 authors at 1 institution in 1 country.

Datta Singh GoolaubDivision of Translational Medicine, The Hospital for Sick Children, 686 Bay St., Toronto, ON M5G 0A4, Canada. Electronic address: datta.goolaub@sickkids.ca.
Christopher K MacgowanDivision of Translational Medicine, The Hospital for Sick Children, 686 Bay St., Toronto, ON M5G 0A4, Canada; Department of Medical Biophysics, University of Toronto, 101 College St Suite 15-701, Toronto, ON M5G 1L7, Canada.
Hospital for Sick Children · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundNon-Cartesian magnetic resonance imaging trajectories at golden angle increments have the advantage of allowing motion correction and gating using intermediate real-time reconstructions. However, when the acquired data are cardiac binned for cine imaging, trajectories can cluster together at certain heart rates (HR) causing image artifacts. Here, we demonstrate an approach to reduce clustering by inserting additional angular increments within the trajectory, and optimizing them while still allowing for intermediate reconstructions.

methodsThree acquisition models were simulated under constant and variable HR: golden angle (M

resultsSTADs from M

conclusionThis approach reduces clustering in k-space and improves image quality.

Indexed as

ArtifactsHeart RateImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CinePredictive Value of TestsAdultCardiac-Gated Imaging TechniquesFemaleHumansMaleReproducibility of ResultsClusteringImaging artifactNon-Cartesian MRISampling strategy

Identifiers

PMID38290615
PMCPMC11211237
OpenAlexW4392854079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.