Evidence map›Paper›PMID 31401715›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

FAConstructor: an interactive tool for geometric modeling of nerve fiber architectures in the brain.

Jan André Reuter, Felix Matuschke, Miriam Menzel, Nicole Schubert, Kévin Ginsburger, Cyril Poupon, Katrin Amunts, Markus Axer

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jan André ReuterInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany. j.reuter@fz-juelich.de.ORCID http://orcid.org/0000-0002-1219-0310
Felix MatuschkeInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.ORCID http://orcid.org/0000-0001-6435-5351
Miriam MenzelInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.ORCID http://orcid.org/0000-0002-6042-7490
Nicole SchubertInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.ORCID http://orcid.org/0000-0002-6012-4211
Kévin GinsburgerImaging and Spectroscopy Laboratory, CEA Saclay, Neurospin, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-8170-9964
Cyril PouponImaging and Spectroscopy Laboratory, CEA Saclay, Neurospin, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-7906-8945
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.ORCID http://orcid.org/0000-0001-5828-0867
Markus AxerInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.ORCID http://orcid.org/0000-0001-5871-9331

Funding

Horizon 2020 785907
6 · The paper itself

Abstract

purposeThe technique 3D polarized light imaging (3D-PLI) allows to reconstruct nerve fiber orientations of postmortem brains with ultra-high resolution. To better understand the physical principles behind 3D-PLI and improve the accuracy and reliability of the reconstructed fiber orientations, numerical simulations are employed which use synthetic nerve fiber models as input. As the generation of fiber models can be challenging and very time-consuming, we have developed the open source FAConstructor tool which enables a fast and efficient generation of synthetic fiber models for 3D-PLI simulations.

methodsThe program was developed as an interactive tool, allowing the user to define fiber pathways with interpolation methods or parametric functions and providing visual feedback.

resultsPerformance tests showed that most processes scale almost linearly with the amount of fiber points in FAConstructor. Fiber models consisting of < 1.6 million data points retain a frame rate of more than 30 frames per second, which guarantees a stable and fluent workflow. The applicability of FAConstructor was demonstrated on a well-defined fiber model (Fiber Cup phantom) for two different simulation approaches, reproducing effects known from 3D-PLI measurements.

conclusionWe have implemented a user-friendly and efficient tool that enables an interactive and fast generation of synthetic nerve fiber configurations for 3D-PLI simulations. Already existing fiber models can easily be modified, allowing to simulate many different fiber models in a reasonable amount of time.

Indexed as

Nerve FibersPhantoms, ImagingBrainHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingReproducibility of Results3D polarized light imagingInteractive visualizationNerve fiber structureSimulation modelWhite matter phantom

Identifiers

PMID31401715
PMCPMC6851223

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.