Evidence map›Paper›PMID 32206691›Full record

ArticleIEEE transactions on computational imaging2019

Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac

Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D Sidiropoulos, Mehmet Akçakaya

Abstract read
In one paragraph

Article in IEEE transactions on computational imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. FastMagnetic resonance letters · 2024
    Article
  3. Article
  4. Tensor Methods in Biomedical Image Analysis.Journal of medical signals and sensors · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Repeatability and robustness of MP-GRASP TMagnetic resonance in medicine · 2022
    Article
  9. Cardiac phase-resolved late gadolinium enhancement imaging.Frontiers in cardiovascular medicine · 2022
    Article
  10. Review
  11. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  12. Accelerating the 3D TQuantitative imaging in medicine and surgery · 2021
    Article
  13. Article
  14. Article
  15. 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.

Burhaneddin YamanDepartment of Electrical and Computer Engineering, and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, 55455.
Sebastian WeingärtnerDepartment of Electrical and Computer Engineering, and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, 55455.
Nikolaos KargasDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, 55455.
Nicholas D SidiropoulosDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904.
Mehmet AkçakayaDepartment of Electrical and Computer Engineering, and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, 55455.

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Novel Accelerated Contrast-Enhanced High Resolution Coronary MRIR00HL111410 · NHLBI · UNIVERSITY OF MINNESOTA · PI AKCAKAYA, MEHMET · 2015 to 2017
$746k
NHLBI NIH HHS R00 HL111410NIBIB NIH HHS P41 EB015894NIBIB NIH HHS P41 EB027061
6 · The paper itself

Abstract

Multi-dimensional, multi-contrast magnetic resonance imaging (MRI) has become increasingly available for comprehensive and time-efficient evaluation of various pathologies, providing large amounts of data and offering new opportunities for improved image reconstructions. Recently, a cardiac phase-resolved myocardial

Indexed as

Accelerated imaginglow-rank tensorsmulti-dimensional MRImyocardial T1 mappingPARAFACtensor processingTucker

Identifiers

PMID32206691
PMCPMC7087548

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.