Image-based informatics for Preclinical Biomedical Research

Conference · Sun Jan 01 00:00:00 EST 2006

OSTI ID:966072

Tobin, Jr, Kenneth William ^[1]; Aykac, Deniz ^[1]; Price, Jeffery R ^[1]; Gregor, Jens ^[1]; Wall, Jonathan ^[1]; Muthusamy Govindasamy, Vijaya Priya ^[1]

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1. ORNL

In 2006, the New England Journal of Medicine selected medical imaging as one of the eleven most important innovations of the past 1,000 years, primarily due to its ability to allow physicians and researchers to visualize the very nature of disease. As a result of the broad-based adoption of micro imaging technologies, preclinical researchers today are generating terabytes of image data from both anatomic and functional imaging modes. In this paper we describe our early research to apply content-based image retrieval to index and manage large image libraries generated in the study of amyloid disease in mice. Amyloidosis is associated with diseases such as Alzheimer's, type 2 diabetes, and myeloma. In particular, we will focus on results to date in the area of small animal organ segmentation and description for CT, SPECT, and PET modes and present a small set of preliminary retrieval results for a specific disease state in kidney CT cross-sections.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; Work for Others (WFO)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 966072
• Resource Relation: Conference: International Symposium on Visual Computing, Lake Tahoe, NV, USA, 20061106, 20061108
• Country of Publication: United States
• Language: English