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Finite element and numerical methods...

Apte, Aditya.

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Finite element and numerical methods for inverse problem in optical medical imaging.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Finite element and numerical methods for inverse problem in optical medical imaging./
作者:	Apte, Aditya.
面頁冊數:	56 p.
附註:	Source: Masters Abstracts International, Volume: 43-01, page: 0252.
Contained By:	Masters Abstracts International43-01.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1421236
ISBN:	0496259811

Finite element and numerical methods for inverse problem in optical medical imaging.
Apte, Aditya.

Finite element and numerical methods for inverse problem in optical medical imaging. - 56 p.

Source: Masters Abstracts International, Volume: 43-01, page: 0252.

Thesis (M.S.)--The University of Texas at Arlington, 2004.

Diffusion optical tomography is a technique of using near infrared (NIR) light in the wavelength range of 700 to 1000 nm to probe light scattering media, such as thick biological tissues, in order to derive images of their scattering and absorption coefficients (mus ',mua) [1]. Specifically, the goal of optical tomography is to reconstruct images of the optical coefficients (mus',mu a) within a spatial domain O based on the measurement made on the boundary ∂O [1]. Mathematically, the reconstruction of (mus',mu a) in optical tomography is a nonlinear [1], multi-minima inverse problem. In this work, we discuss the solution to this inverse problem using the finite element method and numerical optimization techniques.

ISBN: 0496259811Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Finite element and numerical methods for inverse problem in optical medical imaging.
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520 $a Diffusion optical tomography is a technique of using near infrared (NIR) light in the wavelength range of 700 to 1000 nm to probe light scattering media, such as thick biological tissues, in order to derive images of their scattering and absorption coefficients (mus ',mua) [1]. Specifically, the goal of optical tomography is to reconstruct images of the optical coefficients (mus',mu a) within a spatial domain O based on the measurement made on the boundary ∂O [1]. Mathematically, the reconstruction of (mus',mu a) in optical tomography is a nonlinear [1], multi-minima inverse problem. In this work, we discuss the solution to this inverse problem using the finite element method and numerical optimization techniques.
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