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2015 ; 20
(9
): 097002
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Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and
microvasculature: model and inverse algorithm
#MMPMID26414387
Radosevich AJ
; Eshein A
; Nguyen TQ
; Backman V
J Biomed Opt
2015[]; 20
(9
): 097002
PMID26414387
show ga
Reflectance measurements acquired from within the subdiffusion regime (i.e.,
lengthscales smaller than a transport mean free path) retain much of the original
information about the shape of the scattering phase function. Given this
sensitivity, many models of subdiffusion regime light propagation have focused on
parametrizing the optical signal through various optical and empirical
parameters. We argue, however, that a more useful and universal way to
characterize such measurements is to focus instead on the fundamental physical
properties, which give rise to the optical signal. This work presents the
methodologies that used to model and extract tissue ultrastructural and
microvascular properties from spatially resolved subdiffusion reflectance
spectroscopy measurements. We demonstrate this approach using ex-vivo rat tissue
samples measured by enhanced backscattering spectroscopy.