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ABrainVis: an android brain image visualization tool
BACKGROUND: The 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 w...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323223/ https://www.ncbi.nlm.nih.gov/pubmed/34325693 http://dx.doi.org/10.1186/s12938-021-00909-0 |
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author | Osorio, Ignacio Guevara, Miguel Bonometti, Danilo Carrasco, Diego Descoteaux, Maxime Poupon, Cyril Mangin, Jean-François Hernández, Cecilia Guevara, Pamela |
author_facet | Osorio, Ignacio Guevara, Miguel Bonometti, Danilo Carrasco, Diego Descoteaux, Maxime Poupon, Cyril Mangin, Jean-François Hernández, Cecilia Guevara, Pamela |
author_sort | Osorio, Ignacio |
collection | PubMed |
description | BACKGROUND: The 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. RESULTS: We 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. CONCLUSIONS: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-021-00909-0. |
format | Online Article Text |
id | pubmed-8323223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83232232021-07-30 ABrainVis: an android brain image visualization tool Osorio, Ignacio Guevara, Miguel Bonometti, Danilo Carrasco, Diego Descoteaux, Maxime Poupon, Cyril Mangin, Jean-François Hernández, Cecilia Guevara, Pamela Biomed Eng Online Software BACKGROUND: The 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. RESULTS: We 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. CONCLUSIONS: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-021-00909-0. BioMed Central 2021-07-29 /pmc/articles/PMC8323223/ /pubmed/34325693 http://dx.doi.org/10.1186/s12938-021-00909-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Osorio, Ignacio Guevara, Miguel Bonometti, Danilo Carrasco, Diego Descoteaux, Maxime Poupon, Cyril Mangin, Jean-François Hernández, Cecilia Guevara, Pamela ABrainVis: an android brain image visualization tool |
title | ABrainVis: an android brain image visualization tool |
title_full | ABrainVis: an android brain image visualization tool |
title_fullStr | ABrainVis: an android brain image visualization tool |
title_full_unstemmed | ABrainVis: an android brain image visualization tool |
title_short | ABrainVis: an android brain image visualization tool |
title_sort | abrainvis: an android brain image visualization tool |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323223/ https://www.ncbi.nlm.nih.gov/pubmed/34325693 http://dx.doi.org/10.1186/s12938-021-00909-0 |
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