Evidence map›Paper›PMID 31721303›Full record

ArticleMagnetic resonance in medicine2020

CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA).

Adam Rich, Michael Gregg, Ning Jin, Yingmin Liu, Lee Potter, Orlando Simonetti, Rizwan Ahmad

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Accelerated real-time cine and flow under in-magnet staged exercise.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  2. 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

7 authors.

Adam RichBiomedical Engineering, The Ohio State University, Columbus, OH, USA.
Michael GreggBiomedical Engineering, The Ohio State University, Columbus, OH, USA.
Ning JinCardiovascular MR R&D, Siemens Medical Solutions USA Inc., Columbus, OH, USA.
Yingmin LiuDavis Heart & Lung Research Institute, The Ohio State University, Columbus, OH, USA.
Lee PotterElectrical and Computer Engineering, The Ohio State University, Columbus, OH, USA.
Orlando SimonettiDavis Heart & Lung Research Institute, The Ohio State University, Columbus, OH, USA.
Rizwan AhmadBiomedical Engineering, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-5917-3788

Funding

A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance ImagingR01HL135489 · NHLBI · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN · 2017 to 2021
$3.0M
A Bayesian Model for MRI-based Accelerated 4D Flow Imaging of Aortic Valve StenosisR21EB021655 · NIBIB · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN · 2016 to 2017
$405k
NHLBI NIH HHS R01 HL135489NIBIB NIH HHS R21 EB021655
6 · The paper itself

Abstract

purposeTo develop a variable density Cartesian sampling method that allows retrospective adjustment of temporal resolution for dynamic MRI applications and to validate it in real-time phase contrast MRI (PC-MRI). THEORY AND

methodsThe proposed method, called CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA), begins by producing a sequence of phase encoding indices based on the golden ratio increment. Then, variable density is introduced by nonlinear stretching of the indices. Finally, the elements of the resulting sequence are rounded up to the nearest integer. The performance of CAVA is evaluated using PC-MRI data from a pulsatile flow phantom and real-time, free-breathing data from ten healthy volunteers.

resultsCAVA enabled image recovery at various temporal resolutions that were selected retrospectively. For the pulsatile flow phantom, image quality and flow quantification accuracy from CAVA were comparable to that from another pseudo-random sampling pattern with fixed temporal resolution. In addition, flow quantification results based on CAVA were in good agreement with a breath-held segmented acquisition.

conclusionsBy allowing retrospective binning of the MRI data, CAVA provides an avenue to retrospectively adjust the temporal resolution of PC-MRI.

Indexed as

Image Interpretation, Computer-AssistedMagnetic Resonance ImagingBreath HoldingHumansPhantoms, ImagingReproducibility of ResultsRetrospective StudiesBayesianCMRgolden ratiophase contrastreal-time

Identifiers

PMID31721303
PMCPMC7059985

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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.