Please use this identifier to cite or link to this item: https://doi.org/10.1117/1.3183811
Title: Fibro-C-Index: Comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy
Authors: Tai, D.C.S.
Tan, N.
Xu, S.
Kang, C.H.
Chia, S.M. 
Cheng, C.L.
Wee, A.
Wei, C.L.
Raja, A.M.
Xiao, G.
Chang, S.
Rajapakse, J.C.
So, P.T.C.
Tang, H.-H.
Chen, C.S.
Yu, H. 
Keywords: bioimaging
diagnosis
liver fibrosis
medical optics
second harmonic generation
two photon
Issue Date: 2009
Source: Tai, D.C.S., Tan, N., Xu, S., Kang, C.H., Chia, S.M., Cheng, C.L., Wee, A., Wei, C.L., Raja, A.M., Xiao, G., Chang, S., Rajapakse, J.C., So, P.T.C., Tang, H.-H., Chen, C.S., Yu, H. (2009). Fibro-C-Index: Comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy. Journal of Biomedical Optics 14 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1117/1.3183811
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. © 2009 Society of Photo-Optical Instrumentation Engineers.
Source Title: Journal of Biomedical Optics
URI: http://scholarbank.nus.edu.sg/handle/10635/53435
ISSN: 10833668
DOI: 10.1117/1.3183811
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