DocumentCode
992185
Title
Image analysis for assessing molecular activity changes in time-dependent geometries
Author
Marias, Kostas ; Ripoll, Jorge ; Meyer, Heiko ; Ntziachristos, Vasilis ; Orphanoudakis, Stelios
Author_Institution
Dept. of Eng. Sci., Oxford Univ., UK
Volume
24
Issue
7
fYear
2005
fDate
7/1/2005 12:00:00 AM
Firstpage
894
Lastpage
900
Abstract
In vivo fluorescence molecular imaging and tomography has facilitated monitoring of genomics and proteomics over time and on the same animal. A highly important issue, however, has been the robust registration of animals imaged at different time points to obtain accurate description of activity and location. This paper presents a method for aligning temporal data of small animals based on surface anatomical features and improving the accuracy of monitoring fluorophore distribution. The method can account for differences in the positioning and compression of small animals and can be extended to three-dimensional as well as to other imaging modalities.
Keywords
biomedical optical imaging; fluorescence; genetics; image registration; medical image processing; molecular biophysics; optical tomography; proteins; aligning temporal data; fluorophore distribution monitoring; genomics; image analysis; in vivo fluorescence molecular imaging; molecular activity changes; proteomics; robust registration; surface anatomical features; time-dependent geometries; tomography; Animals; Bioinformatics; Fluorescence; Genomics; Geometry; Image analysis; In vivo; Molecular imaging; Monitoring; Tomography; Image registration; image sequence analysis; optical image processing; Algorithms; Animals; Fluorescent Dyes; Image Enhancement; Image Interpretation, Computer-Assisted; Metabolic Clearance Rate; Mice; Microscopy, Fluorescence; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, Optical;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2005.848612
Filename
1461525
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