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Title: Image-based informatics for Preclinical Biomedical Research

Abstract

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.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE; Work for Others (WFO)
OSTI Identifier:
966072
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: International Symposium on Visual Computing, Lake Tahoe, NV, USA, 20061106, 20061108
Country of Publication:
United States
Language:
English

Citation Formats

Tobin Jr, Kenneth William, Aykac, Deniz, Price, Jeffery R, Gregor, Jens, Wall, Jonathan, and Muthusamy Govindasamy, Vijaya Priya. Image-based informatics for Preclinical Biomedical Research. United States: N. p., 2006. Web.
Tobin Jr, Kenneth William, Aykac, Deniz, Price, Jeffery R, Gregor, Jens, Wall, Jonathan, & Muthusamy Govindasamy, Vijaya Priya. Image-based informatics for Preclinical Biomedical Research. United States.
Tobin Jr, Kenneth William, Aykac, Deniz, Price, Jeffery R, Gregor, Jens, Wall, Jonathan, and Muthusamy Govindasamy, Vijaya Priya. Sun . "Image-based informatics for Preclinical Biomedical Research". United States. doi:.
@article{osti_966072,
title = {Image-based informatics for Preclinical Biomedical Research},
author = {Tobin Jr, Kenneth William and Aykac, Deniz and Price, Jeffery R and Gregor, Jens and Wall, Jonathan and Muthusamy Govindasamy, Vijaya Priya},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2006},
month = {Sun Jan 01 00:00:00 EST 2006}
}

Conference:
Other availability
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