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The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: Applications in neuroscience and neuroinformatics research
Goscinski, Wojtek J. ; McIntosh, Paul ; Felzmann, Ulrich ; Maksimenko, Anton ; Hall, Christopher J. ; Gureyev, Timur ; Thompson, Darren ; Janke, Andrew ; Galloway, Graham ; Killeen, Neil E. B. ... show 8 more
Goscinski, Wojtek J.
McIntosh, Paul
Felzmann, Ulrich
Maksimenko, Anton
Hall, Christopher J.
Gureyev, Timur
Thompson, Darren
Janke, Andrew
Galloway, Graham
Killeen, Neil E. B.
Abstract
The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) is a national imaging and visualization facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organization (CSIRO), and the Victorian Partnership for Advanced Computing (VPAC), with funding from the National Computational Infrastructure and the Victorian Government. The MASSIVE facility provides hardware, software, and expertise to drive research in the biomedical sciences, particularly advanced brain imaging research using synchrotron x-ray and infrared imaging, functional and structural magnetic resonance imaging (MRI), x-ray computer tomography (CT), electron microscopy and optical microscopy. The development of MASSIVE has been based on best practice in system integration methodologies, frameworks, and architectures. The facility has: (i) integrated multiple different neuroimaging analysis software components, (ii) enabled cross-platform and cross-modality integration of neuroinformatics tools, and (iii) brought together neuroimaging databases and analysis workflows. MASSIVE is now operational as a nationally distributed and integrated facility for neuroinfomatics and brain imaging research.
Keywords
neuroinformatics infrastructure, high performance computing, instrument integration, CT reconstruction, cloudcomputing, Huntington’s disease, Quantitative susceptibility mapping, digital atlasing
Date
2014
Type
Journal article
Journal
Frontiers in Neuroinformatics
Book
Volume
8
Issue
March
Page Range
1-13
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open
