1 July 2009 Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy
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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 (SPIE)
Dean C. S. Tai, Nancy Tan, Shuoyu Xu, Chiang Huen Kang, Ser Mien Chia, Chee Leong Cheng, Aileen Wee, Chiang Li Wei, Anju Mythereyi Raja, Guangfa Xiao, Shi Chang, Jagath C. Rajapakse, Peter T. C. So, Hui-Huan Tang, Chien Shing Chen, Hanary Yu, "Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy," Journal of Biomedical Optics 14(4), 044013 (1 July 2009). https://doi.org/10.1117/1.3183811 . Submission:
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