Evidence map›Paper›PMID 24846341›Full record

ArticleMagnetic resonance imaging2014

Highly accelerated aortic 4D flow MR imaging with variable-density random undersampling.

Jing Liu, Petter Dyverfeldt, Gabriel Acevedo-Bolton, Michael Hope, David Saloner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 4D flow cardiovascular magnetic resonance consensus statement.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2015
    Review
  12. 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

5 authors.

Jing LiuRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States. Electronic address: jing.liu@ucsf.edu.
Petter DyverfeldtRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Gabriel Acevedo-BoltonRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.
Michael HopeRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.
David SalonerRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; Radiology Service, VA Medical Center, San Francisco, CA, United States.

Funding

MRI of Structure and Function in Assessing Hemodynamic Impact on AAA EvolutionR01HL114118 · NHLBI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI SALONER, DAVID A · 2014 to 2017
$1.8M
Determinants of Intracranial Aneurysm GrowthR01NS059944 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALONER, DAVID A · 2009 to 2013
$1.7M
4D MRI Development for Cardiovascular ImagingK25EB014914 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, JING · 2012 to 2016
$842k
NHLBI NIH HHS R01 HL114118NIBIB NIH HHS K25 EB014914NINDS NIH HHS R01 NS059944
6 · The paper itself

Abstract

purposeTo investigate an effective time-resolved variable-density random undersampling scheme combined with an efficient parallel image reconstruction method for highly accelerated aortic 4D flow MR imaging with high reconstruction accuracy. MATERIALS AND

methodsVariable-density Poisson-disk sampling (vPDS) was applied in both the phase-slice encoding plane and the temporal domain to accelerate the time-resolved 3D Cartesian acquisition of flow imaging. In order to generate an improved initial solution for the iterative self-consistent parallel imaging method (SPIRiT), a sample-selective view sharing reconstruction for time-resolved random undersampling (STIRRUP) was introduced. The performance of different undersampling and image reconstruction schemes were evaluated by retrospectively applying those to fully sampled data sets obtained from three healthy subjects and a flow phantom.

resultsUndersampling pattern based on the combination of time-resolved vPDS, the temporal sharing scheme STIRRUP, and parallel imaging SPIRiT, were able to achieve 6-fold accelerated 4D flow MRI with high accuracy using a small number of coils (N=5). The normalized root mean square error between aorta flow waveforms obtained with the acceleration method and the fully sampled data in three healthy subjects was 0.04±0.02, and the difference in peak-systolic mean velocity was -0.29±2.56cm/s.

conclusionQualitative and quantitative evaluation of our preliminary results demonstrate that time-resolved variable-density random sampling is efficient for highly accelerating 4D flow imaging while maintaining image reconstruction accuracy.

Indexed as

AdultAortaBlood Flow VelocityFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMalePhantoms, ImagingPoisson DistributionProspective StudiesReproducibility of ResultsRetrospective StudiesFlowParallel imagingRandomTime-resolvedUndersamplingView sharing

Identifiers

PMID24846341
PMCPMC4135010

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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.