Evidence map›Paper›PMID 28168738›Full record

ArticleMagnetic resonance in medicine2017

Golden-ratio rotated stack-of-stars acquisition for improved volumetric MRI.

Ziwu Zhou, Fei Han, Lirong Yan, Danny J J Wang, Peng Hu

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Simultaneous TMagnetic resonance in medicine · 2026
    Article
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  3. Article
  4. Article
  5. Article
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  7. Review
  8. Article
  9. Kz-accelerated variable-density stack-of-stars MRI.Magnetic resonance imaging · 2023
    Article
  10. Golden-Angle Radial MRI: Basics, Advances, and Applications.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Model-based reconstruction for simultaneous multi-sliceMagnetic resonance in medicine · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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.

Ziwu ZhouDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Fei HanDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Lirong YanLaboratory of Functional MRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Department of Neurology, University of Southern California, Los Angeles, California, USA.
Danny J J WangDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Peng HuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.

Funding

Expanding on a new paradigm for MRI in pediatric congenital heart diseaseR01HL127153 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTODOULOU, ANTHONY G, FINN, JOHN PAUL · 2015 to 2024
$6.1M
Non-contrast 4-D Dynamic MRA in Arteriovenous Malformation (AVM)R01EB014922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2013 to 2016
$1.8M
NHLBI NIH HHS R01 HL127153NIBIB NIH HHS R01 EB014922
6 · The paper itself

Abstract

purposeTo develop and evaluate an improved stack-of-stars radial sampling strategy for reducing streaking artifacts.

methodsThe conventional stack-of-stars sampling strategy collects the same radial angle for every partition (slice) encoding. In an undersampled acquisition, such an aligned acquisition generates coherent aliasing patterns and introduces strong streaking artifacts. We show that by rotating the radial spokes in a golden-angle manner along the partition-encoding direction, the aliasing pattern is modified, resulting in improved image quality for gridding and more advanced reconstruction methods. Computer simulations were performed and phantom as well as in vivo images for three different applications were acquired.

resultsSimulation, phantom, and in vivo experiments confirmed that the proposed method was able to generate images with less streaking artifact and sharper structures based on undersampled acquisitions in comparison with the conventional aligned approach at the same acceleration factors. By combining parallel imaging and compressed sensing in the reconstruction, streaking artifacts were mostly removed with improved delineation of fine structures using the proposed strategy.

conclusionsWe present a simple method to reduce streaking artifacts and improve image quality in 3D stack-of-stars acquisitions by re-arranging the radial spoke angles in the 3D partition direction, which can be used for rapid volumetric imaging. Magn Reson Med 78:2290-2298, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance AngiographyMagnetic Resonance ImagingAlgorithmsArtifactsBrainComputer SimulationHealthy VolunteersHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalModels, StatisticalPhantoms, ImagingSignal Processing, Computer-Assisted3D griddingcompressed sensinggolden ratioparallel imagingstack of stars

Identifiers

PMID28168738
PMCPMC5545174

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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.