Evidence map›Paper›PMID 27455164›Full record

ArticleMagnetic resonance in medicine2016

High efficiency coronary MR angiography with nonrigid cardiac motion correction.

Jianing Pang, Yuhua Chen, Zhaoyang Fan, Christopher Nguyen, Qi Yang, Yibin Xie, Debiao Li

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2016. 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. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  2. Article
  3. Article
  4. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  5. Motion compensated whole-heart coronary cardiovascular magnetic resonance angiography using focused navigation (fNAV).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  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

7 authors.

Jianing PangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Yuhua ChenBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Zhaoyang FanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Christopher NguyenBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Qi YangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Yibin XieBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. debiao.li@cshs.org.

Funding

Magnetic Resonance Imaging of Coronary Arteries at 3.OTR01EB002623 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LI, DEBIAO · 2003 to 2012
$2.6M
Self-Gated, Motion-Resolved Whole-Heart Coronary MRA with Isotropic ResolutionR01HL038698 · NHLBI · WASHINGTON UNIVERSITY · PI LI, DEBIAO · 1990 to 2010
$2.5M
NHLBI NIH HHS R01 HL038698NIBIB NIH HHS R01 EB002623
6 · The paper itself

Abstract

purposeTo improve the coronary visualization quality of four-dimensional (4D) coronary MR angiography (MRA) through cardiac motion correction and iterative reconstruction.

methodsA contrast-enhanced, spoiled gradient echo sequence with 3D radial trajectory and self-gating was used for 4D coronary MRA data acquisition at 3 Tesla. A whole-heart 16-phase cine series was reconstructed with respiratory motion correction. Nonrigid registration was performed between the identified quiescent phases and a reference. The motion information of all included phases was then used along with the corresponding k-space data to iteratively reconstruct the final image. Healthy volunteer studies (N = 13) were conducted to compare the proposed method with the conventional strategy, which accepts data from a single, contiguous window out of the original 16-phase data. Apparent signal-to-noise ratio (aSNR) and coronary sharpness were used as the image quality metrics.

resultsThe proposed method significantly improved aSNR (11.89 ± 3.76 to 13.97 ± 5.21; P = 0.005) and scan efficiency (18.8% ± 6.0% to 40.9% ± 9.7%; P < 0.001), compared with the conventional strategy. Sharpness of left main (P = 0.002), proximal (P = 0.04), and middle (P = 0.02) right coronary artery, and proximal left anterior descending (P = 0.04) was also significantly improved.

conclusionThe proposed cardiac motion-corrected reconstruction significantly improved the achievable quality of coronary visualization from 4D coronary MRA. Magn Reson Med 76:1345-1353, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

ArtifactsAlgorithmsCardiac-Gated Imaging TechniquesCoronary AngiographyCoronary VesselsHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyMotionPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction Technique3D radial imagingcoronary MRAmotion correctionself-navigation

Identifiers

PMID27455164
PMCPMC5067183

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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.