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Interior Photon Absorption Based Adaptive Regularization Improves Diffuse Optical Tomography

Biswas, Samir Kumar and Rajan, K and Vasu, RM (2010) Interior Photon Absorption Based Adaptive Regularization Improves Diffuse Optical Tomography. In: 2nd International Conference on Digital Image Processing Singapore, FEB 26-28, 2010, Singapore.

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Abstract

An adaptive regularization algorithm that combines elementwise photon absorption and data misfit is proposed to stabilize the non-linear ill-posed inverse problem. The diffuse photon distribution is low near the target compared to the normal region. A Hessian is proposed based on light and tissue interaction, and is estimated using adjoint method by distributing the sources inside the discretized domain. As iteration progresses, the photon absorption near the inhomogeneity becomes high and carries more weightage to the regularization matrix. The domain's interior photon absorption and misfit based adaptive regularization method improves quality of the reconstructed Diffuse Optical Tomographic images.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to The International Society for Optical Engineering.
Keywords: Modeled Hessian; interior absorption based adaptive regularization; ill-posed; quantitative information; dot
Department/Centre: Division of Physical & Mathematical Sciences > Physics
Date Deposited: 01 Mar 2011 12:02
Last Modified: 01 Mar 2011 12:02
URI: http://eprints.iisc.ernet.in/id/eprint/35832

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