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Opportunities and considerations for visualising neuroimaging data on very large displays
- Source :
- F1000Research
- Publication Year :
- 2016
- Publisher :
- F1000 Research Ltd, 2016.
-
Abstract
- 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.
- Subjects :
- Neuroimaging
General Biochemistry, Genetics and Molecular Biology
030218 nuclear medicine & medical imaging
Rendering (computer graphics)
visualisation
03 medical and health sciences
0302 clinical medicine
Software
Observatory
Medicine
General Pharmacology, Toxicology and Pharmaceutics
display technology
eye-tracking
General Immunology and Microbiology
business.industry
fMRI
multiple sclerosis
Articles
General Medicine
Opinion Article
Data science
Visualization
Open data
PET
Disparate system
data observatory
Eye tracking
business
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 20461402
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- F1000Research
- Accession number :
- edsair.doi.dedup.....951b423788c8e31acfabf438d4400b32