Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy
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Tai-2009-Fibro-C-Index_ compr.pdf
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1.08 MB
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Checksum (MD5)
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Author(s)
Yu, Hanry
So, Peter T. C.
Rajapakse, Jagath
Chen, Chien Shing
Tang, Hui-Huan
Chang, Shi
Xiao, Guangfa
Raja, Anju Mythreyi
Wei, Chiang Li
Wee, Aileen
Date Issued
July 2009
Journal
Journal of Biomedical Optics
Publisher
Society of Photo-Optical Instrumentation Engineers
Citation
Tai, Dean C. S. et al. “Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy.” Journal of Biomedical Optics 14.4 (2009): 044013-10. ©2009 Society of Photo-Optical Instrumentation Engineers
Version
Final published version
Abstract
We develop a standardized, fully automated, quantification system for liver fibrosis assessment using second harmonic generation microscopy and a morphology-based quantification algorithm. Liver fibrosis is associated with an abnormal increase in collagen as a result of chronic liver diseases. Histopathological scoring is the most commonly used method for liver fibrosis assessment, where a liver biopsy is stained and scored by experienced pathologists. Due to the intrinsic limited sensitivity and operator-dependent variations, there exist high inter- and intraobserver discrepancies. We validate our quantification system, Fibro-C-Index, with a comprehensive animal study and demonstrate its potential application in clinical diagnosis to reduce inter- and intraobserver discrepancies.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
http://dx.doi.org/10.1117/1.3183811
