Evidence map›Paper›PMID 35122982›Full record

ArticleMagnetic resonance imaging2022

Anisotropy measure from three diffusion-encoding gradient directions.

Santiago Aja-Fernández, Guillem París, Carmen Martín-Martín, Derek K Jones, Antonio Tristán-Vega

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Santiago Aja-FernándezLPI, ETSI Telecomunicación, Universidad de Valladolid, Castilla y León, Spain. Electronic address: sanaja@tel.uva.es.
Guillem ParísLPI, ETSI Telecomunicación, Universidad de Valladolid, Castilla y León, Spain.
Carmen Martín-MartínLPI, ETSI Telecomunicación, Universidad de Valladolid, Castilla y León, Spain.
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, UK.
Antonio Tristán-VegaLPI, ETSI Industriales, Universidad de Valladolid, Castilla y León, Spain.
Universidad de Valladolid · ESCardiff University · GB

Funding

Wellcome Trust 096646Wellcome Trust 096646/Z/11/ZWellcome Trust 104943Wellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

We propose a method that can provide information about the anisotropy and orientation of diffusion in the brain from only 3 orthogonal gradient directions without imposing additional assumptions. The method is based on the Diffusion Anisotropy (DiA) that measures the distance from a diffusion signal to its isotropic equivalent. The original formulation based on a Spherical Harmonics basis allows to go down to only 3 orthogonal directions in order to estimate the measure. In addition, an alternative simplification and a color-coding representation are also proposed. Acquisitions from a publicly available database are used to test the viability of the proposal. The DiA succeeded in providing anisotropy information from the white matter using only 3 diffusion-encoding directions. The price to pay for such reduced acquisition is an increment in the variability of the data and a subestimation of the metric on those tracts not aligned with the acquired directions. Nevertheless, the calculation of anisotropy information from DMRI is feasible using fewer than 6 gradient directions by using DiA. The method is totally compatible with existing acquisition protocols, and it may provide complementary information about orientation in fast diffusion acquisitions.

Indexed as

Diffusion Magnetic Resonance ImagingWhite MatterAnisotropyBrainDiffusionDiffusion anisotropyDiffusion MRIFast acquisitionFractional anisotropyWhite matter

Identifiers

PMID35122982
PMCPMC7615248
OpenAlexW4221106614

What OpenQuestion holds

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LicenceCC BY
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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.