Open AccessPrincipal component analysis of dynamic fluorescence diffuse optical tomography images
Author(s) -
Xin Liu,
Daifa Wang,
Fei Liu,
Jing Bai
Publication year - 2010
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.18.006300
Subject(s) - principal component analysis , diffuse optical imaging , optics , tomography , biological system , computer science , fluorescence , optical tomography , artificial intelligence , physics , pattern recognition (psychology) , biology
Challenges remain in resolving drug distributions within small animals utilizing fluorescence diffuse optical tomography (FDOT). In this paper, we present a new method for detecting and visualizing organs with different kinetics utilizing principal component analysis (PCA). Indocynaine green (ICG) metabolic processes are simulated and imaged using FDOT. When applied to the time series of generated FDOT images, PCA provides a set of the principal components (PCs) which can represent spatial patterns associated with different kinetic behavior. Simulation and experiment studies are both performed to validate the performance of the proposed algorithm. The results suggest that we are able to extract and illustrate changes in ICG kinetic behavior between the heart and the lungs.