NDLI: A system framework for the integration and analysis of multi-modal spatiotemporal data streams: a case study in MS lesion analysis

Content Provider	IEEE Xplore Digital Library
Author	Makedon, F. Yuhang Wang Steinberg, T. Wishart, H. Saykin, A. Ford, J. Song Ye Li Shen
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Dartmouth Coll., Hanover, NH, USA (Makedon, F.; Yuhang Wang; Steinberg, T.)
Abstract	This paper describes the development of MS-Analyze, a system framework to analyze and detect patterns in brain pathology of multiple sclerosis (MS) as the disease progresses over time. We are building the system to collect, analyze and integrate disparate data extracted from observing the behavior of MS lesions and surrounding pathology on magnetic resonance imaging (MRI) over time. Multiple sclerosis (MS) is a brain disease that affects over 250,000 people in the USA alone. Various MRI sequences are used to monitor brain changes during the natural progression of the disease, and as different drug treatments are explored to slow the disease. The outcome is a set of disparate data streams that need to be correlated efficiently to discover patterns of MS pathology and plan treatment. However, MS data analysis faces the same computational problems as many other scientific domains with heterogeneous data streams: the need for integration of and access to large amounts of data, beyond what is normally available to any one given laboratory. MS-Analyze addresses both of these challenges by combining data collection, data fusion, data analysis, and secure data sharing. MS is a good application to demonstrate the system because it offers rich data that challenge the system development.
Starting Page	495
Ending Page	498
File Size	514009
Page Count	4
File Format	PDF
ISBN	0780375793
DOI	10.1109/CNE.2003.1196871
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-20
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pathology Multiple sclerosis Data analysis Image analysis Magnetic resonance imaging Spatiotemporal phenomena Magnetic analysis Lesions Pattern analysis Diseases
Content Type	Text
Resource Type	Article

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