Evidence map›Paper›PMID 26277773›Full record

ArticleNeuroImage2016

Rapid multi-orientation quantitative susceptibility mapping.

Berkin Bilgic, Luke Xie, Russell Dibb, Christian Langkammer, Aysegul Mutluay, Huihui Ye, Jonathan R Polimeni, Jean Augustinack, Chunlei Liu, Lawrence L Wald and 1 more

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Asymmetric susceptibility tensor imaging.Magnetic resonance in medicine · 2021
    Article
  10. [Reproducibility analysis of quantitative susceptibility mapping of cerebral subcortical nuclei in healthy adults].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    Article
  11. Article
  12. Microscopic susceptibility anisotropy imaging.Magnetic resonance in medicine · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  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

11 authors.

Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA. Electronic address: berkin@nmr.mgh.harvard.edu.
Luke XieCenter for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA.
Russell DibbCenter for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Christian LangkammerAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Neurology, Medical University of Graz, Graz, Austria; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Aysegul MutluayMiddle East Technical University, Ankara, Turkey.
Huihui YeAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Jonathan R PolimeniAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Jean AugustinackAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Chunlei LiuCenter for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Lawrence L WaldAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA; Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, USA.
Kawin SetsompopAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

Funding

ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 1999 to 2011
$16.4M
The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Advanced Fetal ImagingR01EB017337 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2014 to 2018
$6.2M
Ultra-Resolution Imaging of Brain Circuitry and its Development in Mental HealthR01MH096979 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2013 to 2017
$1.8M
Biological Spatial Resolution Limits in fMRIK01EB011498 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2011 to 2015
$877k
MRI Technology for Measurement of Functional and Structural Connectivity in BrainR00EB012107 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI SETSOMPOP, KAWIN · 2012 to 2014
$725k
Susceptibility MRI as a marker for diagnosis and clinical disability in MSR01NS079653 · NINDS · DUKE UNIVERSITY · PI LIU, CHUNLEI · 2014 to 2015
$460k
High-resolution in vivo and non-invasive imaging of myocardial fibersR21HL122759 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2014 to 2015
$431k
Austrian Science Fund FWF J 3480NCRR NIH HHS P41 RR014075NCRR NIH HHS P41RR14075NHLBI NIH HHS R21 HL122759NHLBI NIH HHS R21-HL122759NIBIB NIH HHS P41 EB015897NIBIB NIH HHS R00 EB012107NIBIB NIH HHS R00EB012107NIBIB NIH HHS R01 EB017337NIBIB NIH HHS R01EB017337NIMH NIH HHS 1U01MH093765NIMH NIH HHS R01 MH096979NIMH NIH HHS R01MH096979NIMH NIH HHS U01 MH093765NINDS NIH HHS R01 NS079653NINDS NIH HHS R01NS079653
6 · The paper itself

Abstract

Three-dimensional gradient echo (GRE) is the main workhorse sequence used for susceptibility weighted imaging (SWI), quantitative susceptibility mapping (QSM), and susceptibility tensor imaging (STI). Achieving optimal phase signal-to-noise ratio requires late echo times, thus necessitating a long repetition time (TR). Combined with the large encoding burden of whole-brain coverage with high resolution, this leads to increased scan time. Further, the dipole kernel relating the tissue phase to the underlying susceptibility distribution undersamples the frequency content of the susceptibility map. Scans at multiple head orientations along with calculation of susceptibility through multi-orientation sampling (COSMOS) are one way to effectively mitigate this issue. Additionally, STI requires a minimum of 6 head orientations to solve for the independent tensor elements in each voxel. The requirements of high-resolution imaging with long TR at multiple orientations substantially lengthen the acquisition of COSMOS and STI. The goal of this work is to dramatically speed up susceptibility mapping at multiple head orientations. We demonstrate highly efficient acquisition using 3D-GRE with Wave-CAIPI and dramatically reduce the acquisition time of these protocols. Using R=15-fold acceleration with Wave-CAIPI permits acquisition per head orientation in 90s at 1.1mm isotropic resolution, and 5:35min at 0.5mm isotropic resolution. Since Wave-CAIPI fully harnesses the 3D spatial encoding capability of receive arrays, the maximum g-factor noise amplification remains below 1.30 at 3T and 1.12 at 7T. This allows a 30-min exam for STI with 12 orientations, thus paving the way to its clinical application.

Indexed as

AdultBrain MappingDiffusion Tensor ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMaleParallel imagingPhase imagingQuantitative susceptibility mappingSusceptibility tensor imagingWave-CAIPI

Identifiers

PMID26277773
PMCPMC4691433

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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.