Evidence map›Paper›PMID 32996625›Full record

ArticleMagnetic resonance in medicine2021

Fully self-gated whole-heart 4D flow imaging from a 5-minute scan.

Aaron Pruitt, Adam Rich, Yingmin Liu, Ning Jin, Lee Potter, Matthew Tong, Saurabh Rajpal, Orlando Simonetti, Rizwan Ahmad

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Fully self-gated dual-venc five-dimensional flow magnetic resonance imaging for simultaneous imaging of the cardiovascular and portal venous systems: A feasibility study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Motion-robust free-running volumetric cardiovascular MRI.Magnetic resonance in medicine · 2024
    Article
  8. Cardiac and respiratory motion extraction for MRI using pilot tone-a patient study.The international journal of cardiovascular imaging · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A probabilistic Bayesian approach to recoverMagnetic resonance in medicine · 2022
    Article
  14. Article
  15. Quality Control for 4D Flow MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Article
  16. Article
  17. 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

9 authors.

Aaron PruittBiomedical Engineering, The Ohio State University, Columbus, OH, USA.ORCID 0000-0003-1139-9400
Adam RichBiomedical Engineering, The Ohio State University, Columbus, OH, USA.
Yingmin LiuDavis Heart & Lung Research Institute, The Ohio State University, Columbus, OH, USA.
Ning JinCardiovascular MR R&D, Siemens Medical Solutions USA Inc., Columbus, OH, USA.
Lee PotterElectrical and Computer Engineering, The Ohio State University, Columbus, OH, USA.
Matthew TongInternal Medicine, The Ohio State University, Columbus, OH, USA.
Saurabh RajpalInternal Medicine, The Ohio State University, Columbus, OH, USA.
Orlando SimonettiDavis Heart & Lung Research Institute, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-8994-0095
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
Prospective Slice Tracking for Cardiac MRIR21EB026657 · NIBIB · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN, SIMONETTI, ORLANDO PAUL · 2018 to 2019
$409k
NHLBI NIH HHS R01 HL135489NIBIB NIH HHS R21 EB026657
6 · The paper itself

Abstract

purposeTo develop and validate an acquisition and processing technique that enables fully self-gated 4D flow imaging with whole-heart coverage in a fixed 5-minute scan. THEORY AND

methodsThe data are acquired continuously using Cartesian sampling and sorted into respiratory and cardiac bins using the self-gating signal. The reconstruction is performed using a recently proposed Bayesian method called ReVEAL4D. ReVEAL4D is validated using data from 8 healthy volunteers and 2 patients and compared with compressed sensing technique, L1-SENSE.

resultsHealthy subjects-Compared with 2D phase-contrast MRI (2D-PC), flow quantification from ReVEAL4D shows no significant bias. In contrast, the peak velocity and peak flow rate for L1-SENSE are significantly underestimated. Compared with traditional parallel MRI-based 4D flow imaging, ReVEAL4D demonstrates small but significant biases in net flow and peak flow rate, with no significant bias in peak velocity. All 3 indices are significantly and more markedly underestimated by L1-SENSE. Patients-Flow quantification from ReVEAL4D agrees well with the 2D-PC reference. In contrast, L1-SENSE markedly underestimated peak velocity.

conclusionsThe combination of highly accelerated 5-minute Cartesian acquisition, self-gating, and ReVEAL4D enables whole-heart 4D flow imaging with accurate flow quantification.

Indexed as

Image Interpretation, Computer-AssistedMagnetic Resonance ImagingBayes TheoremBlood Flow VelocityHeartHumansImaging, Three-DimensionalRadionuclide Imaging4D flowBayesianCartesianCMRphase-contrastself-gating

Identifiers

PMID32996625
PMCPMC7718421

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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.