Evidence map›Paper›PMID 31183893›Full record

ArticleMagnetic resonance in medicine2019

Non-Cartesian GRAPPA and coil combination using interleaved calibration data - application to concentric-ring MRSI of the human brain at 7T.

Philipp Moser, Wolfgang Bogner, Lukas Hingerl, Eva Heckova, Gilbert Hangel, Stanislav Motyka, Siegfried Trattnig, Bernhard Strasser

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Article
  6. Nature biomedical engineering · 2023
    Article
  7. IntegratingNeuroImage · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Achieving high-resolutionJournal of magnetic resonance (San Diego, Calif. : 1997) · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. An integrated RF-receive/BScientific reports · 2020
    Article
  16. Article
  17. Article
  18. 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

8 authors.

Philipp MoserHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.ORCID 0000-0002-9717-6197
Wolfgang BognerHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
Lukas HingerlHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
Eva HeckovaHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.ORCID 0000-0001-9956-1470
Gilbert HangelHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
Stanislav MotykaHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
Siegfried TrattnigHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
Bernhard StrasserHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.ORCID 0000-0001-9542-3855

Funding

Austrian Science Fund FWF KLI 646Austrian Science Fund FWF KLI 718Austrian Science Fund FWF P 30701
6 · The paper itself

Abstract

purposeProton MR spectroscopic imaging (MRSI) benefits from B

methodsSix healthy volunteers were scanned at 7T. Three calibration datasets for coil combination and PI were recorded: a) iMUSICAL, b) static MUSICAL as prescan, c) moved MUSICAL as prescan with misaligned head position. The coil combination performance, including motion sensitivity, of iMUSICAL was compared to MUSICAL for single-slice free induction decay (FID)-MRSI. Through-time/through-k-space-GRAPPA with constant/variable-density undersampling was evaluated on the same data, comparing the three calibration datasets. Additionally, the proposed method was successfully applied to 3D whole-brain FID-MRSI.

resultsUsing iMUSICAL for coil combination yielded the highest signal-to-noise ratio (SNR) (+9%) and lowest Cramer-Rao lower bounds (CRLBs) (-6%) compared to both MUSICAL approaches, with similar metabolic map quality. Also, excellent mean g-factors of 1.07 and low residual lipid aliasing were obtained when using iMUSICAL as calibration data for two-fold, variable-density undersampling, while significantly degraded metabolic maps were obtained using the misaligned MUSICAL calibration data.

conclusionThrough-time/through-k-space-GRAPPA can accelerate already time-efficient non-Cartesian spatial-spectral 2D/3D-MRSI encoding even further. Particularly promising results have been achieved using iMUSICAL as a robust, interleaved multipurpose calibration for MRSI reconstruction, without extra calibration prescan.

Indexed as

Imaging, Three-DimensionalBrainBrain MappingCalibrationHealthy VolunteersHumansImage EnhancementImage Processing, Computer-AssistedMagnetic Resonance SpectroscopySignal-To-Noise Ratio7 teslahybrid through-time/through-k-space GRAPPAMR spectroscopic imagingmultichannel coil combinationnon-Cartesian concentric ringparallel imaging

Identifiers

PMID31183893
PMCPMC6772100

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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.