DocumentCode
1593081
Title
MRI and Image Quantitation for Drug Assessment - Growth Effects of Anabolic Steroids and Precursors
Author
Tang, Haiying ; Wu, Ed X. ; Vasselli, Joseph R.
Author_Institution
Dept. of Radiol., Columbia Univ., New York, NY
fYear
2005
fDate
6/27/1905 12:00:00 AM
Firstpage
7044
Lastpage
7047
Abstract
MRI and image quantitation play an expanding role in modern drug research, because MRI offers high resolution and non-invasive ability, and provides excellent soft tissue contrast. Moreover, with development of effective image segmentation and analysis methods, in-vivo and serial tissue growth measurements could be assessed. In the study, MR image acquisition and analysis protocol were established and validated for investigating the effects of anabolic steroids and precursors on muscle growth and body composition in a guinea pig model. Semi-automatic and interactive segmentation methods were developed to accurately label the tissue of interest for tissue volume estimation. In addition, a longitudinal tissue area outlining procedure was proposed for study of tissue geometric features in relation to tissue growth. Finally, a fully automatic data retrieval and analysis scheme was implemented to facilitate the overall huge amount of image quantitation, statistical analysis, as well as study group comparisons. As a result, highly significant differences in muscle and organ growth were detected between intact and castrated guinea pigs using the selected anabolic steroids, indicating the viability of employing such protocol to assess other anabolic steroids. Furthermore, the anabolic potential of selected steroid precursors and their effects on muscle growth, in comparison with that in respective positive control groups of castrated guinea pigs, were evaluated with the proposed protocol
Keywords
biological organs; biomedical MRI; drugs; image retrieval; image segmentation; medical image processing; muscle; statistical analysis; MRI; anabolic steroids; body composition; drug assessment; fully automatic data retrieval; growth effects; guinea pig model; guinea pigs; image quantitation; image segmentation; interactive segmentation; muscle growth; organ growth; precursors; semi-automatic segmentation; serial tissue growth measurements; statistical analysis; tissue volume estimation; Biological tissues; Drugs; Image analysis; Image resolution; Image retrieval; Image segmentation; Information retrieval; Magnetic resonance imaging; Muscles; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1616128
Filename
1616128
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