Evidence map›Paper›PMID 32301168›Full record

ArticleMagnetic resonance in medicine2020

Free-breathing fat and R

Manuel Schneider, Thomas Benkert, Eddy Solomon, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, Andreas Maier, Hersh Chandarana, Kai Tobias Block

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. 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. Trial
  2. Article
  3. Article
  4. Article
  5. Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  6. Rapid, high-resolution and distortion-freeMagnetic resonance in medicine · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Improved liver fat andMagnetic resonance in medicine · 2025
    Article
  11. Free-breathing, fat-corrected TMagnetic resonance in medicine · 2024
    Article
  12. Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A review and experimental evaluation of deep learning methods for MRI reconstruction.The journal of machine learning for biomedical imaging · 2022
    Article
  20. Review
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.

Manuel SchneiderPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen Nürnberg, Erlangen, Germany.ORCID 0000-0003-2230-8850
Thomas BenkertMR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Eddy SolomonCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA.
Dominik NickelMR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Matthias FenchelMR R&D Collaborations, Siemens Medical Solutions, New York, NY, USA.
Berthold KieferMR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Andreas MaierPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen Nürnberg, Erlangen, Germany.
Hersh ChandaranaCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA.
Kai Tobias BlockCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA.

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Comprehensive Motion-Robust Pediatric MR Imaging Using Radial AcquisitionsR01EB018308 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANDARANA, HERSH · 2015 to 2018
$1.6M
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB018308
6 · The paper itself

Abstract

purposeTo develop a free-breathing hepatic fat and

methodsThe proposed technique combines motion-robust radial sampling using a stack-of-stars bipolar multi-echo 3D GRE acquisition with iterative model-based fat-water separation. Parallel-Imaging and Compressed-Sensing principles are incorporated through modeling of the coil-sensitivity profiles and enforcement of total-variation (TV) sparsity on estimated water, fat, and

resultsLinear regression analyses demonstrated strong (r > 0.96) and significant (P ≪ .01) correlations between radial and Cartesian PDFF measurements for both the motion-averaged reconstruction (slope: 0.90; intercept: 0.07%) and the motion-resolved reconstruction (slope: 0.90; intercept: 0.11%). The motion-averaged technique overestimated hepatic

conclusionsThe proposed techniques are promising alternatives to conventional Cartesian imaging for fat and

Indexed as

Magnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseBreath HoldingHumansLiverRespirationcompressed sensingfree-breathing fat/multi-echo 3D stack-of-stars GREnonalcoholic fatty liver diseaseradial samplingrespiratory motion-resolved reconstruction

Identifiers

PMID32301168
PMCPMC7396291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.