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Efficient Visualization of Encoded Fourier Transform Infrared Microscopic Data of Osteoporotic Bone
Bethesda, Maryland March 26-March 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.94172014th IEEE Symposium on Computer-Based ...
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Gilberto Zamora, Shuyu Yang, Sunanda Mitra, Margaret Peterson, E. P. Paschalis, "Efficient Visualization of Encoded Fourier Transform Infrared Microscopic Data of Osteoporotic Bone," Computer-Based Medical Systems, IEEE Symposium on, pp. 0197, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001.
 
 
BibTex
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@article{ 10.1109/CBMS.2001.941720,
author = {Gilberto Zamora and Shuyu Yang and Sunanda Mitra and Margaret Peterson and E. P. Paschalis},
title = {Efficient Visualization of Encoded Fourier Transform Infrared Microscopic Data of Osteoporotic Bone},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2001},
isbn = {0-7695-1004-3},
pages = {0197},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941720},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Efficient Visualization of Encoded Fourier Transform Infrared Microscopic Data of Osteoporotic Bone
SN - 0-7695-1004-3
SP
EP
A1 - Gilberto Zamora,
A1 - Shuyu Yang,
A1 - Sunanda Mitra,
A1 - Margaret Peterson,
A1 - E. P. Paschalis,
PY - 2001
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Gilberto Zamora, Texas Tech University
Shuyu Yang, Texas Tech University
Sunanda Mitra, Texas Tech University
Margaret Peterson, The Hospital for Special Surgery
E. P. Paschalis, The Hospital for Special Surgery
Abstract: Fourier Transform Infrared Microspectroscopy of bone slices has become a major research tool to analyze the chemical constitution of calcified structures. Qualitative as well quantitative measures of bone components using this technique have shown to be useful in the characterization of normal bone in both animal and human specimens. Furthermore, the technique can be used to characterize bone diseases like osteoporosis and the effects of different chemical constitutions on bone structures. However, the ever-increasing number of Fourier Transform Infrared Microspectroscopy studies yields amounts of data that are becoming unmanageable in terms of size for the purpose of storage. We address this problem by applying two different lossless coding techniques to the images generated by the studies. Compression ratios as high as 100:1 are obtained by coding lower bit levels of the image while retaining the information that is used by the specialists.
Citation:
Gilberto Zamora, Shuyu Yang, Sunanda Mitra, Margaret Peterson, E. P. Paschalis, "Efficient Visualization of Encoded Fourier Transform Infrared Microscopic Data of Osteoporotic Bone," cbms, pp.0197, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001
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