Evidence map›Paper›PMID 34821857›Full record

ArticleJournal of imaging2021

Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors.

Marica Pesce, Audrey Repetti, Anna Auría, Alessandro Daducci, Jean-Philippe Thiran, Yves Wiaux

Abstract read
In one paragraph

Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Marica PesceInstitute of Sensors Signals and Systems (ISSS), Heriot-Watt University, Edinburgh EH14 4AS, UK.
Audrey RepettiInstitute of Sensors Signals and Systems (ISSS), Heriot-Watt University, Edinburgh EH14 4AS, UK.
Anna AuríaSignal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Alessandro DaducciDepartment of Computer Science, University of Verona, 37134 Verona, Italy.
Jean-Philippe ThiranSignal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Yves WiauxInstitute of Sensors Signals and Systems (ISSS), Heriot-Watt University, Edinburgh EH14 4AS, UK.

Funding

Engineering and Physical Sciences Research Council EP/M011089/1Engineering and Physical Sciences Research Council EP/T028270/1
6 · The paper itself

Abstract

High spatio-angular resolution diffusion MRI (dMRI) has been shown to provide accurate identification of complex neuronal fiber configurations, albeit, at the cost of long acquisition times. We propose a method to recover intra-voxel fiber configurations at high spatio-angular resolution relying on a 3D kq-space under-sampling scheme to enable accelerated acquisitions. The inverse problem for the reconstruction of the fiber orientation distribution (FOD) is regularized by a

Indexed as

compressed sensingdata acquisitiondiffusion MRIHARDIoptimizationreconstruction

Identifiers

PMID34821857
PMCPMC8618762

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.