MilxXplore: a web-based system to explore large imaging datasets

Bourgeat, P., Dore, V., Villemagne, V. L., Rowe, C. C., Salvado, O. and Fripp, J. (2013) MilxXplore: a web-based system to explore large imaging datasets. Journal of the American Medical Informatics Association, 20 6: 1046-1052. doi:10.1136/amiajnl-2012-001545


Author Bourgeat, P.
Dore, V.
Villemagne, V. L.
Rowe, C. C.
Salvado, O.
Fripp, J.
Title MilxXplore: a web-based system to explore large imaging datasets
Journal name Journal of the American Medical Informatics Association   Check publisher's open access policy
ISSN 1067-5027
1527-974X
Publication date 2013-11
Year available 2013
Sub-type Article (original research)
DOI 10.1136/amiajnl-2012-001545
Volume 20
Issue 6
Start page 1046
End page 1052
Total pages 7
Place of publication London, United Kingdom
Publisher B M J Group
Collection year 2014
Language eng
Formatted abstract
Objective As large-scale medical imaging studies are becoming more common, there is an increasing reliance on automated software to extract quantitative information from these images. As the size of the cohorts keeps increasing with large studies, there is a also a need for tools that allow results from automated image processing and analysis to be presented in a way that enables fast and efficient quality checking, tagging and reporting on cases in which automatic processing failed or was problematic.
Materials and methods MilxXplore is an open source visualization platform, which provides an interface to navigate and explore imaging data in a web browser, giving the end user the opportunity to perform quality control and reporting in a user friendly, collaborative and efficient way.
Discussion Compared to existing software solutions that often provide an overview of the results at the subject's level, MilxXplore pools the results of individual subjects and time points together, allowing easy and efficient navigation and browsing through the different acquisitions of a subject over time, and comparing the results against the rest of the population.
Conclusions MilxXplore is fast, flexible and allows remote quality checks of processed imaging data, facilitating data sharing and collaboration across multiple locations, and can be easily integrated into a cloud computing pipeline. With the growing trend of open data and open science, such a tool will become increasingly important to share and publish results of imaging analysis.

Keyword Image processing
Reporting
Platform
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Non HERDC
 
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Created: Fri, 06 Dec 2013, 18:41:27 EST by System User on behalf of UQ Centre for Clinical Research