Image-based informatics for preclinical biomedical research

Authors:
Kenneth W. Tobin;Deniz Aykac;V. Priya Govindasamy;Shaun S. Gleason;Jens Gregor;Thomas P. Karnowski;Jeffery R. Price;Jonathan Wall
Affiliations:
Image Science and Machine Vision Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee;Image Science and Machine Vision Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee;Image Science and Machine Vision Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee;Siemens Preclinical Solutions, Knoxville, Tennessee;Department of Computer Science, University of Tennessee, Knoxville, Tennessee;Image Science and Machine Vision Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee;Image Science and Machine Vision Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee;University of Tennessee Graduate School of Medicine, Knoxville, Tennessee
Venue:
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Year:
2006

Citing 9
Cited 0

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
An optimal algorithm for approximate nearest neighbor searching

SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases

Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploratory image databases: content-based retrieval

Exploratory image databases: content-based retrieval
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs

IEEE Transactions on Knowledge and Data Engineering
How to Add Content-based Image Retrieval Capability in a PACS

CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Content-based image retrieval for semiconductor process characterization

EURASIP Journal on Applied Signal Processing
Active contours without edges

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

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, chronic inflammation 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.