1 March 2006 Laguerre-based method for analysis of time-resolved fluorescence data: application to in-vivo characterization and diagnosis of atherosclerotic lesions
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Abstract
We report the application of the Laguerre deconvolution technique (LDT) to the analysis of in-vivo time-resolved laser-induced fluorescence spectroscopy (TR-LIFS) data and the diagnosis of atherosclerotic plaques. TR-LIFS measurements were obtained in vivo from normal and atherosclerotic aortas (eight rabbits, 73 areas), and subsequently analyzed using LDT. Spectral and time-resolved features were used to develop four classification algorithms: linear discriminant analysis (LDA), stepwise LDA (SLDA), principal component analysis (PCA), and artificial neural network (ANN). Accurate deconvolution of TR-LIFS in-vivo measurements from normal and atherosclerotic arteries was provided by LDT. The derived Laguerre expansion coefficients reflected changes in the arterial biochemical composition, and provided a means to discriminate lesions rich in macrophages with high sensitivity (<85%) and specificity (<95%). Classification algorithms (SLDA and PCA) using a selected number of features with maximum discriminating power provided the best performance. This study demonstrates the potential of the LDT for in-vivo tissue diagnosis, and specifically for the detection of macrophages infiltration in atherosclerotic lesions, a key marker of plaque vulnerability.
© (2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Javier A. Jo, Javier A. Jo, Qiyin Fang, Qiyin Fang, Thanassis Papaioannou, Thanassis Papaioannou, J. Dennis Baker, J. Dennis Baker, Amir Dorafshar, Amir Dorafshar, Todd Reil, Todd Reil, Jianhua Qiao, Jianhua Qiao, Michael C. Fishbein, Michael C. Fishbein, Julie A. Freischlag, Julie A. Freischlag, Laura Marcu, Laura Marcu, } "Laguerre-based method for analysis of time-resolved fluorescence data: application to in-vivo characterization and diagnosis of atherosclerotic lesions," Journal of Biomedical Optics 11(2), 021004 (1 March 2006). https://doi.org/10.1117/1.2186045 . Submission:
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