2011
DOI: 10.1016/j.ijleo.2010.06.006
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Study of light propagation in human, rabbit and rat liver tissue by Monte Carlo simulation

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Cited by 13 publications
(9 citation statements)
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“…Generally, all MC model variants follow the same principles but can be applied to tissues modelled as two‐layer models , seven layers and nine layers , among others. MC methods have been used to quantify the interactions between light and blood , skin lesions , breast tumours , liver tissue and for retinal oximetry . MC methods have been improved by using scaling and perturbation for the detection of tumour‐like heterogeneities and parallel computation has been used to improve the speed and efficiency of the algorithm .…”
Section: Related Workmentioning
confidence: 99%
“…Generally, all MC model variants follow the same principles but can be applied to tissues modelled as two‐layer models , seven layers and nine layers , among others. MC methods have been used to quantify the interactions between light and blood , skin lesions , breast tumours , liver tissue and for retinal oximetry . MC methods have been improved by using scaling and perturbation for the detection of tumour‐like heterogeneities and parallel computation has been used to improve the speed and efficiency of the algorithm .…”
Section: Related Workmentioning
confidence: 99%
“…In order to properly select wavelengths and source to detector separations, optical modeling of the tissue of interest was performed using the Monte Carlo method. This method has been used to estimate light fluence through different types of tissue [20,21]. A commonly used software simulation program developed by Wang et al [22], multi-layer Monte Carlo(MCML), estimates tissue as homogenous rectangular domains.…”
Section: Introductionmentioning
confidence: 99%
“…It is felt that this technique holds great potential for tissue characterization in general and for early detection of cancers of soft tissues in particular [3][4][5][6][7][8][9][10]. In a precancerous soft tissue the size of cell nuclei increases.…”
Section: Introductionmentioning
confidence: 99%