Evidence map›Paper›PMID 30186361›Full record

ArticleComputational and mathematical methods in medicine2018

Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH.

Xiaoqing Wang, Dirk Voit, Volkert Roeloffs, Martin Uecker, Jens Frahm

Abstract read
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Article in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

7 citing papers in PubMed.

  1. Free-Breathing Ungated Radial Simultaneous Multi-Slice Cardiac T1 Mapping.Journal of magnetic resonance imaging : JMRI · 2025
    Article
  2. Article
  3. Article
  4. Three-dimensional simultaneous brain mapping of T1, T2,Magnetic resonance in medicine · 2022
    Article
  5. Model-based reconstruction for simultaneous multi-sliceMagnetic resonance in medicine · 2021
    Article
  6. Article
  7. Model-based myocardial T1 mapping with sparsity constraints using single-shot inversion-recovery radial FLASH cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    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.

Xiaoqing WangDepartment of Diagnostic and Interventional Radiology, University Medical Center, Göttingen, Germany.ORCID 0000-0001-7036-7930
Dirk VoitBiomedizinische NMR Forschungs GmbH, Max-Planck-Institut für biophysikalische Chemie, 37070 Göttingen, Germany.
Volkert RoeloffsBiomedizinische NMR Forschungs GmbH, Max-Planck-Institut für biophysikalische Chemie, 37070 Göttingen, Germany.
Martin UeckerDepartment of Diagnostic and Interventional Radiology, University Medical Center, Göttingen, Germany.ORCID 0000-0002-8850-809X
Jens FrahmBiomedizinische NMR Forschungs GmbH, Max-Planck-Institut für biophysikalische Chemie, 37070 Göttingen, Germany.ORCID 0000-0002-8279-884X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a high-speed multislice T1 mapping method based on a single-shot inversion-recovery (IR) radial FLASH acquisition and a regularized model-based reconstruction.

methodsMultislice radial k-space data are continuously acquired after a single nonselective inversion pulse using a golden-angle sampling scheme in a spoke-interleaved manner with optimized flip angles. Parameter maps and coil sensitivities of each slice are estimated directly from highly undersampled radial k-space data using a model-based nonlinear inverse reconstruction in conjunction with joint sparsity constraints. The performance of the method has been validated using a numerical and experimental T1 phantom as well as demonstrated for studies of the human brain and liver at 3T.

resultsThe proposed method allows for 7 simultaneous T1 maps of the brain at 0.5 × 0.5 × 4 mm

conclusionRapid, robust, accurate, and precise multislice T1 mapping may be achieved by combining the advantages of a model-based nonlinear inverse reconstruction, radial sampling, parallel imaging, and compressed sensing.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingAbdomenBrainBreath HoldingHumansLiver

Identifiers

PMID30186361
PMCPMC6110002

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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.