Evidence map›Paper›PMID 28557055›Full record

ArticleMagnetic resonance in medicine2018

Time-efficient and flexible design of optimized multishell HARDI diffusion.

Jana Hutter, J Donald Tournier, Anthony N Price, Lucilio Cordero-Grande, Emer J Hughes, Shaihan Malik, Johannes Steinweg, Matteo Bastiani, Stamatios N Sotiropoulos, Saad Jbabdi and 3 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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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

13 authors.

Jana HutterCentre for the Developing Brain, King's College London, London, UK.ORCID 0000-0003-3476-3500
J Donald TournierCentre for the Developing Brain, King's College London, London, UK.ORCID 0000-0001-5591-7383
Anthony N PriceCentre for the Developing Brain, King's College London, London, UK.
Lucilio Cordero-GrandeCentre for the Developing Brain, King's College London, London, UK.ORCID 0000-0003-1477-304X
Emer J HughesCentre for the Developing Brain, King's College London, London, UK.
Shaihan MalikBiomedical Engineering Department, King's College London, London, UK.ORCID 0000-0001-8925-9032
Johannes SteinwegCentre for the Developing Brain, King's College London, London, UK.ORCID 0000-0002-3366-0932
Matteo BastianiFMRIB Centre, Oxford University, Oxford, UK.
Stamatios N SotiropoulosFMRIB Centre, Oxford University, Oxford, UK.
Saad JbabdiFMRIB Centre, Oxford University, Oxford, UK.
Jesper AnderssonFMRIB Centre, Oxford University, Oxford, UK.
A David EdwardsCentre for the Developing Brain, King's College London, London, UK.
Joseph V HajnalCentre for the Developing Brain, King's College London, London, UK.ORCID 0000-0002-2690-5495

Funding

Department of Health RP-PG-0707-10154European Research Council 319456Medical Research Council MR/K006355/1Medical Research Council MR/L009013/1Medical Research Council MR/N026063/1
6 · The paper itself

Abstract

purposeAdvanced diffusion magnetic resonance imaging benefits from collecting as much data as is feasible but is highly sensitive to subject motion and the risk of data loss increases with longer acquisition times. Our purpose was to create a maximally time-efficient and flexible diffusion acquisition capability with built-in robustness to partially acquired or interrupted scans. Our framework has been developed for the developing Human Connectome Project, but different application domains are equally possible.

methodsComplete flexibility in the sampling of diffusion space combined with free choice of phase-encode-direction and the temporal ordering of the sampling scheme was developed taking into account motion robustness, internal consistency, and hardware limits. A split-diffusion-gradient preparation, multiband acceleration, and a restart capacity were added.

resultsThe framework was used to explore different parameters choices for the desired high angular resolution diffusion imaging diffusion sampling. For the developing Human Connectome Project, a high-angular resolution, maximally time-efficient (20 min) multishell protocol with 300 diffusion-weighted volumes was acquired in >400 neonates. An optimal design of a high-resolution (1.2 × 1.2 mm

conclusionThe presented framework provides flexibility to generate time-efficient and motion-robust diffusion magnetic resonance imaging acquisitions taking into account hardware constraints that might otherwise result in sub-optimal choices. Magn Reson Med 79:1276-1292, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Indexed as

AnisotropyBrainConnectomeDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedInfant, NewbornNeuroimagingdeveloping braindiffusion MRImagnetic resonance imagingneonatalneuroimagingsequence development

Identifiers

PMID28557055
PMCPMC5811841

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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.