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Journal of Biomedical Optics

Laguerre-based method for analysis of time-resolved fluorescence data: application to in-vivo characterization and diagnosis of atherosclerotic lesions
Author(s): Javier A. Jo; Qiyin Fang; Thanassis Papaioannou; J. Dennis Baker; Amir Dorafshar; Todd Reil; Jianhua Qiao; Michael C. Fishbein; Julie A. Freischlag; Laura Marcu
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Paper 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.

Paper Details

Date Published: 1 March 2006
PDF: 13 pages
J. Biomed. Opt. 11(2) 021004 doi: 10.1117/1.2186045
Published in: Journal of Biomedical Optics Volume 11, Issue 2
Show Author Affiliations
Javier A. Jo, Univ. of California/Davis (United States)
Qiyin Fang, McMaster Univ. (Canada)
Thanassis Papaioannou, Cedars-Sinai Medical Ctr. (United States)
J. Dennis Baker, Univ. of California/Los Angeles (United States)
Amir Dorafshar, Univ. of California/Los Angeles (United States)
Todd Reil, Univ. of California/Los Angeles (United States)
Jianhua Qiao, Univ. of California/Los Angeles (United States)
Michael C. Fishbein, Univ. of California/Los Angeles (United States)
Julie A. Freischlag, Johns Hopkins Univ. (United States)
Laura Marcu, Univ. of California/Davis (United States)

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