Experimental set-up and Monte-Carlo model for the determination of optical tissue properties in the wavelength range 330 to 1100 nm

Author(s):  
Andre Roggan ◽  
Hans J. Albrecht ◽  
Klaus Doerschel ◽  
Olaf Minet ◽  
Gerhard J. Mueller
2020 ◽  
Vol 27 (6) ◽  
pp. 1047-1070
Author(s):  
Milad Najafzadeh ◽  
Mojtaba Hoseini-Ghafarokhi ◽  
Rezgar Shahi Mayn Bolagh ◽  
Mohammad Haghparast ◽  
Shiva Zarifi ◽  
...  

2011 ◽  
Vol 230 (14) ◽  
pp. 5716-5721 ◽  
Author(s):  
A. Panarese ◽  
D. Bruno ◽  
G. Colonna ◽  
P. Diomede ◽  
A. Laricchiuta ◽  
...  

2019 ◽  
Vol 64 (19) ◽  
pp. 195008
Author(s):  
J Colnot ◽  
V Barraux ◽  
C Loiseau ◽  
P Berejny ◽  
A Batalla ◽  
...  

SIMULATION ◽  
1969 ◽  
Vol 12 (2) ◽  
pp. 71-77 ◽  
Author(s):  
Rolland A. Hurtubise

A new classification of Monte Carlo digital computer simulations is suggested. The body of this paper centers on the determination of sample sizes and confidence intervals associated with a simulation model which has a multinomially distributed output. A brief description of a 'multinomial' Monte Carlo model is given. The theoretical considerations put forth are then verified on this model.


1997 ◽  
Vol 119 (4) ◽  
pp. 489-495 ◽  
Author(s):  
A. J. Welch ◽  
C. M. Gardner

A Monte Carlo model is described for modeling photo propagation in a scattering medium. The fraction of locally absorbed photons is proportional to the local rate of heat generation in laser-irradiated tissue and the associated distribution of light (fluence rate) is obtained by dividing the rate of heat generation by the local absorption coefficient. Examples of computed distributions of the rate of heat generation are presented for situations where light scattering in tissue is important. The method is applied to analyze treatment of Port Wine Stain and the selection of laser wave-lengths for cyclophotocoagulation.


2008 ◽  
Vol 23 (2) ◽  
pp. 51-57
Author(s):  
Milijana Steljic ◽  
Miodrag Milosevic ◽  
Petar Belicev

The paper describes the procedure of adapting a coaxial high-precision germanium detector to a device with numerical calibration. The procedure includes the determination of detector dimensions and establishing the corresponding model of the system. In order to achieve a successful calibration of the system without the usage of standard sources, Monte Carlo simulations were performed to determine its efficiency and pulse-height response function. A detailed Monte Carlo model was developed using the MCNP-5.0 code. The obtained results have indicated that this method represents a valuable tool for the quantitative uncertainty analysis of radiation spectrometers and gamma-ray detector calibration, thus minimizing the need for the deployment of radioactive sources.


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