Title
Visual systems for interactive exploration and mining of large-scale neuroimaging data archives.
Abstract
While technological advancements in neuroimaging scanner engineering have improved the efficiency of data acquisition, electronic data capture methods will likewise significantly expedite the populating of large-scale neuroimaging databases. As they do and these archives grow in size, a particular challenge lies in examining and interacting with the information that these resources contain through the development of compelling, user-driven approaches for data exploration and mining. In this article, we introduce the informatics visualization for neuroimaging (INVIZIAN) framework for the graphical rendering of, and dynamic interaction with the contents of large-scale neuroimaging data sets. We describe the rationale behind INVIZIAN, detail its development, and demonstrate its usage in examining a collection of over 900 T1-anatomical magnetic resonance imaging (MRI) image volumes from across a diverse set of clinical neuroimaging studies drawn from a leading neuroimaging database. Using a collection of cortical surface metrics and means for examining brain similarity, INVIZIAN graphically displays brain surfaces as points in a coordinate space and enables classification of clusters of neuroanatomically similar MRI images and data mining. As an initial step toward addressing the need for such user-friendly tools, INVIZIAN provides a highly unique means to interact with large quantities of electronic brain imaging archives in ways suitable for hypothesis generation and data mining.
Year
DOI
Venue
2012
10.3389/fninf.2012.00011
FRONTIERS IN NEUROINFORMATICS
Keywords
Field
DocType
neuroinformatics,informatics,data mining,visualization,data representation,applications
Data science,Neuroinformatics,Data mining,Data set,External Data Representation,Computer science,Visualization,Data acquisition,Neuroimaging,Rendering (computer graphics),Electronic data capture
Journal
Volume
ISSN
Citations 
6
1662-5196
3
PageRank 
References 
Authors
0.43
20
3
Name
Order
Citations
PageRank
Ian Bowman1123.18
Shantanu H. Joshi284550.12
John D Van Horn331628.50