Title
Efficient Visualization of Encoded Fourier Transform Infrared Microscopic Data of Osteoporotic Bone
Abstract
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.
Year
DOI
Venue
2001
10.1109/CBMS.2001.941720
CBMS
Keywords
Field
DocType
studies yields amount,osteoporotic bone,different chemical constitution,infrared microscopic data,normal bone,chemical constitution,bone structure,efficient visualization,bone slice,bone component,encoded fourier transform,different lossless,bone disease,fourier transform infrared microspectroscopy,fourier transform spectroscopy,data compression,fourier transforms,chemical analysis,data storage,visualization,compression ratio,data compression ratio,fourier transform,optical microscopy,data visualisation,infrared spectroscopy
Biomedical engineering,Computer science,Fourier transform,Coding (social sciences),Artificial intelligence,Osteoporosis,Pathology,Computer vision,Data visualization,Data compression ratio,Visualization,Fourier transform spectroscopy,Data compression
Conference
ISSN
Citations 
PageRank 
1063-7125
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Gilberto Zamora1566.01
shuyu yang26813.70
Sunanda Mitra325445.17
Margaret Peterson400.34
E. P. Paschalis500.34