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Opportunities and considerations for visualising neuroimaging data on very large displays
Neuroimaging experiments can generate impressive volumes of data and many images of the results. This is particularly true of multi-modal imaging studies that use more than one imaging technique, or when imaging is combined with other assessments. A challenge for these studies is appropriate visuali...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031127/ https://www.ncbi.nlm.nih.gov/pubmed/27703670 http://dx.doi.org/10.12688/f1000research.9522.1 |
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author | Wall, Matthew B. Birch, David Yong, May Y. |
author_facet | Wall, Matthew B. Birch, David Yong, May Y. |
author_sort | Wall, Matthew B. |
collection | PubMed |
description | Neuroimaging experiments can generate impressive volumes of data and many images of the results. This is particularly true of multi-modal imaging studies that use more than one imaging technique, or when imaging is combined with other assessments. A challenge for these studies is appropriate visualisation of results in order to drive insights and guide accurate interpretations. Next-generation visualisation technology therefore has much to offer the neuroimaging community. One example is the Imperial College London Data Observatory; a high-resolution (132 megapixel) arrangement of 64 monitors, arranged in a 313 degree arc, with a 6 metre diameter, powered by 32 rendering nodes. This system has the potential for high-resolution, large-scale display of disparate data types in a space designed to promote collaborative discussion by multiple researchers and/or clinicians. Opportunities for the use of the Data Observatory are discussed, with particular reference to applications in Multiple Sclerosis (MS) research and clinical practice. Technical issues and current work designed to optimise the use of the Data Observatory for neuroimaging are also discussed, as well as possible future research that could be enabled by the use of the system in combination with eye-tracking technology. |
format | Online Article Text |
id | pubmed-5031127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-50311272016-10-03 Opportunities and considerations for visualising neuroimaging data on very large displays Wall, Matthew B. Birch, David Yong, May Y. F1000Res Opinion Article Neuroimaging experiments can generate impressive volumes of data and many images of the results. This is particularly true of multi-modal imaging studies that use more than one imaging technique, or when imaging is combined with other assessments. A challenge for these studies is appropriate visualisation of results in order to drive insights and guide accurate interpretations. Next-generation visualisation technology therefore has much to offer the neuroimaging community. One example is the Imperial College London Data Observatory; a high-resolution (132 megapixel) arrangement of 64 monitors, arranged in a 313 degree arc, with a 6 metre diameter, powered by 32 rendering nodes. This system has the potential for high-resolution, large-scale display of disparate data types in a space designed to promote collaborative discussion by multiple researchers and/or clinicians. Opportunities for the use of the Data Observatory are discussed, with particular reference to applications in Multiple Sclerosis (MS) research and clinical practice. Technical issues and current work designed to optimise the use of the Data Observatory for neuroimaging are also discussed, as well as possible future research that could be enabled by the use of the system in combination with eye-tracking technology. F1000Research 2016-09-02 /pmc/articles/PMC5031127/ /pubmed/27703670 http://dx.doi.org/10.12688/f1000research.9522.1 Text en Copyright: © 2016 Wall MB et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Opinion Article Wall, Matthew B. Birch, David Yong, May Y. Opportunities and considerations for visualising neuroimaging data on very large displays |
title | Opportunities and considerations for visualising neuroimaging data on very large displays |
title_full | Opportunities and considerations for visualising neuroimaging data on very large displays |
title_fullStr | Opportunities and considerations for visualising neuroimaging data on very large displays |
title_full_unstemmed | Opportunities and considerations for visualising neuroimaging data on very large displays |
title_short | Opportunities and considerations for visualising neuroimaging data on very large displays |
title_sort | opportunities and considerations for visualising neuroimaging data on very large displays |
topic | Opinion Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031127/ https://www.ncbi.nlm.nih.gov/pubmed/27703670 http://dx.doi.org/10.12688/f1000research.9522.1 |
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