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Proceedings Paper

Interior photon absorption based adaptive regularization improves diffuse optical tomography
Author(s): Samir Kumar Biswas; K. Rajan; R. M. Vasu
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Paper 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.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754611 (26 February 2010); doi: 10.1117/12.853421
Show Author Affiliations
Samir Kumar Biswas, Indian Institute of Science, Bangalore (India)
K. Rajan, Indian Institute of Science, Bangalore (India)
R. M. Vasu, Indian Institute of Science, Bangalore (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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