Evidence map›Paper›PMID 34325693›Full record

ArticleBiomedical engineering online2021

ABrainVis: an android brain image visualization tool.

Ignacio Osorio, Miguel Guevara, Danilo Bonometti, Diego Carrasco, Maxime Descoteaux, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2021. 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
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  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

9 authors at 3 institutions in 3 countries.

Ignacio OsorioDepartment of Computer Sciences, Universidad de Concepción, Concepción, Chile.
Miguel GuevaraUniversité Paris-Saclay, CEA, CNRS, Neurospin, BAOBAB, Gif-sur-Yvette, France.
Danilo BonomettiDepartment of Computer Sciences, Universidad de Concepción, Concepción, Chile.
Diego CarrascoDepartment of Electrical Engineering, Universidad de Concepción, Concepción, Chile.
Maxime DescoteauxSherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
Cyril PouponUniversité Paris-Saclay, CEA, CNRS, Neurospin, BAOBAB, Gif-sur-Yvette, France.
Jean-François ManginUniversité Paris-Saclay, CEA, CNRS, Neurospin, BAOBAB, Gif-sur-Yvette, France.
Cecilia HernándezDepartment of Computer Sciences, Universidad de Concepción, Concepción, Chile.
Pamela GuevaraDepartment of Electrical Engineering, Universidad de Concepción, Concepción, Chile. pguevara@udec.cl.ORCID http://orcid.org/0000-0001-9988-400X
University of Concepción · CLCentre National de la Recherche Scientifique · FRUniversité de Sherbrooke · CA

Funding

ANID Basal Project FB0001ANID Basal Project FB0008ANID FONDECYT 1190701Horizon 2020 604102 (HBP SGA1).Horizon 2020 785907 (HBP SGA2)Horizon 2020 945539 (HBP SGA3)
6 · The paper itself

Abstract

backgroundThe visualization and analysis of brain data such as white matter diffusion tractography and magnetic resonance imaging (MRI) volumes is commonly used by neuro-specialist and researchers to help the understanding of brain structure, functionality and connectivity. As mobile devices are widely used among users and their technology shows a continuous improvement in performance, different types of applications have been designed to help users in different work areas.

resultsWe present, ABrainVis, an Android mobile tool that allows users to visualize different types of brain images, such as white matter diffusion tractographies, represented as fibers in 3D, segmented fiber bundles, MRI 3D images as rendered volumes and slices, and meshes. The tool enables users to choose and combine different types of brain imaging data to provide visual anatomical context for specific visualization needs. ABrainVis provides high performance over a wide range of Android devices, including tablets and cell phones using medium and large tractography datasets. Interesting visualizations including brain tumors and arteries, along with fiber, are given as examples of case studies using ABrainVis.

conclusionsThe functionality, flexibility and performance of ABrainVis tool introduce an improvement in user experience enabling neurophysicians and neuroscientists fast visualization of large tractography datasets, as well as the ability to incorporate other brain imaging data such as MRI volumes and meshes, adding anatomical contextual information.

Indexed as

Diffusion Tensor ImagingWhite MatterBrainImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance Imaging3D renderingBrain imagingMobile visualization

Identifiers

PMID34325693
PMCPMC8323223
OpenAlexW3186594303

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.