DocumentCode
3502818
Title
Global exploratory analysis of massive neuroimaging collections using Microsoft Silverlight PivotViewer
Author
Yan, Lei ; Zhou, Xiaodong ; Lu, Lu ; Centeno, Arthur G. ; Kuan, Leonard ; Hawrylycz, Michael ; Larimer, Monica ; Rosen, Glenn D. ; Williams, Robert W.
Author_Institution
Dept. of Anatomy & Neurobiol., Univ. of Tennessee Health Sci. Center (UTHSC), Memphis, TN, USA
fYear
2011
fDate
15-17 March 2011
Firstpage
1
Lastpage
4
Abstract
Microsoft Silverlight PivotViewer is a web service architecture that provides fluid access to massive image databases using digital zoom image technology. The Pivot interface models some aspects of human vision, with the ability both to perform a global scan and to rapidly focus on the finest details. The inclusion of many levels of metadata in an XML file makes it possible for clients to rapidly re-sort and filter images on the web in ways that are powerful and highly informative. We have used Pivot to restructure a very large collection of histological images (2D) taken from the Mouse Brain Library (MBL, www.mbl.org). The new Pivot system (mbl.pivotcollections.org) can be subdivided, filtered, and sorted using a range of continuous and discrete metadata variables (sex, age, strain, genotype, behavior). The current implementation is optimized for visualization, but does not yet have analytic or annotation tiers that would enable facile quantitative dissection of image collections.
Keywords
Web services; XML; biomedical optical imaging; brain; medical computing; meta data; neurophysiology; physiological models; relational databases; vision; visual databases; MBL; Microsoft Silverlight PivotViewer; Mouse Brain Library; Pivot system; Web service architecture; XML file; digital zoom image technology; global exploratory analysis; histological images; massive image databases; massive neuroimaging collections; metadata; Image resolution; Image segmentation; Mice; Pixel; Strain; Tiles; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Sciences and Engineering Conference (BSEC), 2011
Conference_Location
Knoxville, TN
Print_ISBN
978-1-61284-411-4
Electronic_ISBN
978-1-61284-410-7
Type
conf
DOI
10.1109/BSEC.2011.5872323
Filename
5872323
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