The Second-Order Born Approximation in Diffuse Optical Tomography

Author

Kwon, Kiwoon

Source

Journal of Applied Mathematics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-03-04

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Mathematics

Abstract EN

Diffuse optical tomography is used to find the optical parameters of a turbid medium with infrared red light.

The problem is mathematically formulated as a nonlinear problem to find the solution for the diffusion operator mapping the optical coefficients to the photon density distribution on the boundary of the region of interest, which is also represented by the Born expansion with respect to the unperturbed photon densities and perturbed optical coefficients.

We suggest a new method of finding the solution by using the second-order Born approximation of the operator.

The error analysis for the suggested method based on the second-order Born approximation is presented and compared with the conventional linearized method based on the first-order Born approximation.

The suggested method has better convergence order than the linearized method, and this is verified in the numerical implementation.

American Psychological Association (APA)

Kwon, Kiwoon. 2012. The Second-Order Born Approximation in Diffuse Optical Tomography. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-993442

Modern Language Association (MLA)

Kwon, Kiwoon. The Second-Order Born Approximation in Diffuse Optical Tomography. Journal of Applied Mathematics No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-993442

American Medical Association (AMA)

Kwon, Kiwoon. The Second-Order Born Approximation in Diffuse Optical Tomography. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-993442

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-993442