Statistical simulation of laser radiation transfer in stochastic scattering media

2005 ◽  
Author(s):  
Boris A. Kargin
2020 ◽  
Vol 128 (6) ◽  
pp. 832
Author(s):  
А.Ю. Потлов ◽  
С.В. Фролов ◽  
С.Г. Проскурин

The specific features of photon diffusion of low-coherence pulsed irradiation in phantoms of soft biological tissues (blood-saturated tissues of the brain, breast, etc.) are described. The results of photon migration simulation using the Diffusion Approximation to the Radiation Transfer Equation (RTE) are compared with ones of the Monte Carlo simulations. It has been confirmed that the Photon Density Normalized Maximum (PDNM) moves towards the center of the investigated object in case of relatively uniform and strongly scattering media. In the presence of inhomogeneities, type of the PDNM motion changes drastically. Presence of an absorbing inhomogeneity in the medium directs trajectory of the PDNM motion of towards the point symmetric to the inhomogeneity relative to the geometric center of the investigated object. In case of scattering the PDNM moves toward the direction of the center of the scattering inhomogeneity.


Astrophysics ◽  
1976 ◽  
Vol 11 (3) ◽  
pp. 293-302 ◽  
Author(s):  
N. N. Rogovtsov ◽  
A. M. Samson

2018 ◽  
Vol 33 (3) ◽  
pp. 161-171 ◽  
Author(s):  
Andrey Yu. Ambos ◽  
Gennadii A. Mikhailov

Abstract The radiation transfer through random media of three different types was simulated numerically and statistically with the same one-dimensional distributions and correlation radii. The averaged probabilities of passages of quanta and their angular distributions practically coincide, although the calculations of correlation radii and visualizations of the corresponding brightness fields give slightly distinct results. In the calculations we used the methods of ‘double randomization’ and ‘delta-scattering’ and also statistical nuclear estimates.


1998 ◽  
Author(s):  
Vladimir V. Lyubimov ◽  
Olga V. Kravtsenyuk ◽  
V. A. Skotnikov ◽  
Vladimir B. Volkonski

Author(s):  
Haiyong Quan ◽  
Zhixiong Guo

Image reconstruction is a bottleneck problem that impedes real time application of optical tomography technology. In this paper, we propose a novel fluorescence optical tomography method with a fast yet accurate algorithm for 3D image reconstruction. This imaging method is demonstrated using radiation transfer modeling based design. First the transport of ultrafast laser radiation governed by radiation transfer equation in participating media is simulated. Then the transient fluorescence field is obtained by solving the same radiation transfer equation in which the quantum yield of fluorescence is added to correlate the absorbed laser radiation with fluorescence emission intensity. Finally, 3D images are reconstructed using the temporal signals of fluorescence at detectors around the boundary of targeted tissues. We use the early time of fluorescence flight and the maximum fluorescence intensity to directly reconstruct the 3D images. Two new concepts, i.e., the photon migration statistic property and the solid geometric correlation property, are introduced for signal and image processing, respectively. The image reconstruction in this new method is very fast and does not require any inverse optimization. The accurate and efficient image and location of a 2.4×2.4×2.4mm3 tumor embedded at two different locations inside a 20×20×20mm3 rectangular tissue are demonstrated.


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