Evidence map›Paper›PMID 24374076›Full record

ArticleNeuroImage2014

Improving the spatial resolution of magnetic resonance inverse imaging via the blipped-CAIPI acquisition scheme.

Wei-Tang Chang, Kawin Setsompop, Jyrki Ahveninen, John W Belliveau, Thomas Witzel, Fa-Hsuan Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 15 Years MR-encephalography.Magma (New York, N.Y.) · 2021
    Review
  3. Article
  4. Simultaneous multislice (SMS) imaging techniques.Magnetic resonance in medicine · 2016
    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

6 authors.

Wei-Tang ChangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA; Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Kawin SetsompopAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA.
Jyrki AhveninenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA.
John W BelliveauAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Thomas WitzelAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA.
Fa-Hsuan LinInstitute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan. Electronic address: fhlin@ntu.edu.tw.

Funding

ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 1999 to 2011
$16.4M
Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
SPATIOTEMPORAL IMAGING OF HUMAN VISUAL SYSTEM PROCESSINGR01NS037462 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI · 1998 to 2013
$6.5M
Spatiotemporal Brain Imaging of Human Auditory CognitionR01HD040712 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2002 to 2013
$6.2M
Parallel Excitation Methods for High Field MRIR01EB006847 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2007 to 2020
$5.4M
HIGH FIELD MR RESEARCH IN DRUG ABUSER01DA014178 · NIDA · MC LEAN HOSPITAL (BELMONT, MA) · PI RENSHAW, PERRY FRANKLIN · 2001 to 2005
$3.5M
Neural mechanisms: Learned audio-visuo-motor integrationR01NS048279 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BELLIVEAU, JOHN W · 2006 to 2009
$2.8M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Dynamic imaging of oscillatory brain networks controlling selective attentionR01MH083744 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2010 to 2013
$1.9M
A Siemens MAGNETOTOM Trio 3 Tesla MRI SystemS10RR021110 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2006
$500k
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
Catagorizing Parallel Human Auditory Pathways by Spatiotemporally Focused TMSR21DC010060 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2010 to 2011
$474k
NCRR NIH HHS P41 RR014075NCRR NIH HHS P41 RR14075NCRR NIH HHS S10RR014978NCRR NIH HHS S10 RR019307NCRR NIH HHS S10RR019307NCRR NIH HHS S10 RR021110NCRR NIH HHS S10RR021110NCRR NIH HHS S10 RR023401NCRR NIH HHS S10RR023401NIBIB NIH HHS R01 EB000790NIBIB NIH HHS R01EB000790NIBIB NIH HHS R01 EB006847NIBIB NIH HHS R01EB006847NIBIB NIH HHS R21 EB007298NIBIB NIH HHS R21EB007298NICHD NIH HHS R01 HD040712NICHD NIH HHS R01HD040712NIDA NIH HHS R01 DA014178NIDA NIH HHS R01DA14178NIDCD NIH HHS R21 DC010060NIDCD NIH HHS R21DC010060NIMH NIH HHS R01 MH083744NIMH NIH HHS R01MH083744NINDS NIH HHS R01 NS037462NINDS NIH HHS R01NS037462NINDS NIH HHS R01 NS048279
6 · The paper itself

Abstract

Using simultaneous acquisition from multiple channels of a radio-frequency (RF) coil array, magnetic resonance inverse imaging (InI) achieves functional MRI acquisitions at a rate of 100ms per whole-brain volume. InI accelerates the scan by leaving out partition encoding steps and reconstructs images by solving under-determined inverse problems using RF coil sensitivity information. Hence, the correlated spatial information available in the coil array causes spatial blurring in the InI reconstruction. Here, we propose a method that employs gradient blips in the partition encoding direction during the acquisition to provide extra spatial encoding in order to better differentiate signals from different partitions. According to our simulations, this blipped-InI (bInI) method can increase the average spatial resolution by 15.1% (1.3mm) across the whole brain and from 32.6% (4.2mm) in subcortical regions, as compared to the InI method. In a visual fMRI experiment, we demonstrate that, compared to InI, the spatial distribution of bInI BOLD response is more consistent with that of a conventional echo-planar imaging (EPI) at the level of individual subjects. With the improved spatial resolution, especially in subcortical regions, bInI can be a useful fMRI tool for obtaining high spatiotemporal information for clinical and cognitive neuroscience studies.

Indexed as

AlgorithmsBrainCerebral CortexEcho-Planar ImagingElectromagnetic FieldsFourier AnalysisHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingNeuroimagingOxygenPhotic StimulationReproducibility of ResultsSignal-To-Noise RatioOxygenBlipCAIPIRINHAInverse imagingParallel imaging

Identifiers

PMID24374076
PMCPMC4086630

What OpenQuestion holds

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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.