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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach
Salt Lake City, Utah
June 22-June 23
ISBN: 0-7695-2517-1
ASCII Text
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Antonio da Luz, Jr., Daniel D. Abdala, Aldo V. Wangenheim, Eros Comunello, "Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach," Computer-Based Medical Systems, IEEE Symposium on, pp. 93-98, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006.
 
 
BibTex
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@article{ 10.1109/CBMS.2006.45,
author = {Antonio da Luz, Jr. and Daniel D. Abdala and Aldo V. Wangenheim and Eros Comunello},
title = {Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2006},
issn = {1063-7125},
pages = {93-98},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.45},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach
SN - 1063-7125
SP93
EP98
A1 - Antonio da Luz, Jr.,
A1 - Daniel D. Abdala,
A1 - Aldo V. Wangenheim,
A1 - Eros Comunello,
PY - 2006
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Antonio da Luz, Jr., Federal University of Santa Catarina, Brazil
Daniel D. Abdala, Federal University of Santa Catarina, Brazil
Aldo V. Wangenheim, Federal University of Santa Catarina, Brazil
Eros Comunello, Federal University of Santa Catarina, Brazil
This paper presents a hybrid approach to perform content-based retrieval on medical image databases. It takes advantage of a pre-processed case base that is batch updated. DICOM information is used to perform pre-filtering to speed up the retrieval process and a image processing knowledge base is used to dynamically reconfigure the most appropriated image processing procedures to perform the image feature extraction. It shows that pre-filtering can speed up considerably the retrieval process and also that some image features produce very similar results what leads to future work on defining the needed digital image processing knowledge base.
Citation:
Antonio da Luz, Jr., Daniel D. Abdala, Aldo V. Wangenheim, Eros Comunello, "Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach," cbms, pp.93-98, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006
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