Evidence map›Paper›PMID 38263352›Full record

ArticleScientific reports2024

Fourier transform-based method for quantifying the three-dimensional orientation distribution of fibrous units.

Riccardo Alberini, Andrea Spagnoli, Mohammad Javad Sadeghinia, Bjørn Skallerud, Michele Terzano, Gerhard A Holzapfel

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Riccardo AlberiniDepartment of Engineering and Architecture, University of Parma, Parma, Italy.
Andrea SpagnoliDepartment of Engineering and Architecture, University of Parma, Parma, Italy. andrea.spagnoli@unipr.it.
Mohammad Javad SadeghiniaDepartment of Structural Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Bjørn SkallerudDepartment of Structural Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. bjorn.skallerud@ntnu.no.
Michele TerzanoInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Gerhard A HolzapfelDepartment of Structural Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Funding

Horizon 2020 301 857124
6 · The paper itself

Abstract

Several materials and tissues are characterized by a microstructure composed of fibrous units embedded in a ground matrix. In this paper, a novel three-dimensional (3D) Fourier transform-based method for quantifying the distribution of fiber orientations is presented. The method allows for an accurate identification of individual fiber families, their in-plane and out-of-plane dispersion, and showed fast computation times. We validated the method using artificially generated 3D images, in terms of fiber dispersion by considering the error between the standard deviation of the reconstructed and the prescribed distributions of the artificial fibers. In addition, we considered the measured mean orientation angles of the fibers and validated the robustness using a measure of fiber density. Finally, the method is employed to reconstruct a full 3D view of the distribution of collagen fiber orientations based on in vitro second harmonic generation microscopy of collagen fibers in human and mouse skin. The dispersion parameters of the reconstructed fiber network can be used to inform mechanical models of soft fiber-reinforced materials and biological tissues that account for non-symmetrical fiber dispersion.

Identifiers

PMID38263352
PMCPMC11222475

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