Fully automated deconvolution method for on-line analysis of time-resolved fluorescence spectroscopy data based on an iterative Laguerre expansion technique

2009 ◽  
Vol 14 (2) ◽  
pp. 024030 ◽  
Author(s):  
Aditi S. Dabir ◽  
Chintan A. Trivedi ◽  
Yeontack Ryu ◽  
Paritosh Pande ◽  
Javier A. Jo
2007 ◽  
Vol 46 (02) ◽  
pp. 206-211 ◽  
Author(s):  
L. Marcu ◽  
Q. Fang ◽  
T. Papaioannou ◽  
J. Qiao ◽  
M. Fishbein ◽  
...  

Summary Objectives : A new deconvolution method for the analysis of time-resolved laser-induced fluorescence spectroscopy (TR-LIFS) data is introduced and applied for tissue diagnosis. Method : The intrinsic TR-LIFS decays are expanded on a Laguerre basis, and the computed Laguerre expansion coefficients (LEC) are used to characterize the sample fluorescence emission. The method was applied for the diagnosis of atherosclerotic vulnerable plaques. Results : At a first stage, using a rabbit atherosclerotic model, 73 TR-LIFS in-vivo measurements from the normal and atherosclerotic aorta segments of eight rabbits were taken. The Laguerre deconvolution technique was able to accurately deconvolve the TR-LIFS measurements. More interesting, the LEC reflected the changes in the arterial biochemical composition and provided discrimination of lesions rich in macrophages/foamcells with high sensitivity (> 85%) and specificity (> 95%). At a second stage, 348 TR-LIFS measurements were obtained from the explanted carotid arteries of 30 patients. Lesions with significant inflammatory cells (macrophages/foam-cells and lymphocytes) were detected with high sensitivity (> 80%) and specificity (> 90%), using LEC-based classifiers. Conclusion : This study has demonstrated the potential of using TR-LIFS information by means of LEC for in- vivo tissue diagnosis, and specifically for detecting inflammation in atherosclerotic lesions, a key marker of plaque vulnerability.


2014 ◽  
Author(s):  
Thomas Gustavsson ◽  
Dimitra Markovitsi ◽  
Ignacio Vayá ◽  
Paula Bonancía ◽  
M. C. Jiménez ◽  
...  

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