Limits...
Improving the accuracy of the diffusion model in highly absorbing media.

Cong AX, Shen H, Cong W, Wang G - Int J Biomed Imaging (2007)

Bottom Line: It produces satisfactory results in weakly absorbing and highly scattering media, but the accuracy lessens with the decreasing albedo.The diffusion model behaves more closely to the physical model with the actual optical parameters substituted by the optimized optical parameters.The effectiveness of the proposed technique was demonstrated by the numerical experiments using the Monte Carlo simulation data as measurements.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Imaging Division, School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University, 1880 Pratt Drive, Blacksburg, VA 24061, USA.

ABSTRACT
The diffusion approximation of the Boltzmann transport equation is most commonly used for describing the photon propagation in turbid media. It produces satisfactory results in weakly absorbing and highly scattering media, but the accuracy lessens with the decreasing albedo. In this paper, we presented a method to improve the accuracy of the diffusion model in strongly absorbing media by adjusting the optical parameters. Genetic algorithm-based optimization tool is used to find the optimal optical parameters. The diffusion model behaves more closely to the physical model with the actual optical parameters substituted by the optimized optical parameters. The effectiveness of the proposed technique was demonstrated by the numerical experiments using the Monte Carlo simulation data as measurements.

No MeSH data available.


The comparison between solutions of DA using the theunadjusted and the optimal optical parameters in a medium with  mm−1 and  mm−1. The light source was 1 mm from the origin. (a) Solution of DA with unadjustedoptical parameters versus MC data. (b) Solution of DA with optimized opticalparameters versus MC data. The detector positions were sorted in the increasingorder of the fluence rate of MC data.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC2194801&req=5

fig3: The comparison between solutions of DA using the theunadjusted and the optimal optical parameters in a medium with  mm−1 and  mm−1. The light source was 1 mm from the origin. (a) Solution of DA with unadjustedoptical parameters versus MC data. (b) Solution of DA with optimized opticalparameters versus MC data. The detector positions were sorted in the increasingorder of the fluence rate of MC data.

Mentions: Using the optimized parameters in Table 2, the results of the accuracy improvementsof DA are plotted in Figures 2 and 3, with respect to the two media.


Improving the accuracy of the diffusion model in highly absorbing media.

Cong AX, Shen H, Cong W, Wang G - Int J Biomed Imaging (2007)

The comparison between solutions of DA using the theunadjusted and the optimal optical parameters in a medium with  mm−1 and  mm−1. The light source was 1 mm from the origin. (a) Solution of DA with unadjustedoptical parameters versus MC data. (b) Solution of DA with optimized opticalparameters versus MC data. The detector positions were sorted in the increasingorder of the fluence rate of MC data.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2194801&req=5

fig3: The comparison between solutions of DA using the theunadjusted and the optimal optical parameters in a medium with  mm−1 and  mm−1. The light source was 1 mm from the origin. (a) Solution of DA with unadjustedoptical parameters versus MC data. (b) Solution of DA with optimized opticalparameters versus MC data. The detector positions were sorted in the increasingorder of the fluence rate of MC data.
Mentions: Using the optimized parameters in Table 2, the results of the accuracy improvementsof DA are plotted in Figures 2 and 3, with respect to the two media.

Bottom Line: It produces satisfactory results in weakly absorbing and highly scattering media, but the accuracy lessens with the decreasing albedo.The diffusion model behaves more closely to the physical model with the actual optical parameters substituted by the optimized optical parameters.The effectiveness of the proposed technique was demonstrated by the numerical experiments using the Monte Carlo simulation data as measurements.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Imaging Division, School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University, 1880 Pratt Drive, Blacksburg, VA 24061, USA.

ABSTRACT
The diffusion approximation of the Boltzmann transport equation is most commonly used for describing the photon propagation in turbid media. It produces satisfactory results in weakly absorbing and highly scattering media, but the accuracy lessens with the decreasing albedo. In this paper, we presented a method to improve the accuracy of the diffusion model in strongly absorbing media by adjusting the optical parameters. Genetic algorithm-based optimization tool is used to find the optimal optical parameters. The diffusion model behaves more closely to the physical model with the actual optical parameters substituted by the optimized optical parameters. The effectiveness of the proposed technique was demonstrated by the numerical experiments using the Monte Carlo simulation data as measurements.

No MeSH data available.