Interior photon absorption based adaptive regularization improves diffuse optical tomography

Samir Kumar Biswas; K. Rajan; R. M. Vasu

doi:10.1117/12.853421

26 February 2010 Interior photon absorption based adaptive regularization improves diffuse optical tomography

Samir Kumar Biswas, K. Rajan, R. M. Vasu

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754611 (2010) https://doi.org/10.1117/12.853421
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

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.

Citation Download Citation

Samir Kumar Biswas, K. Rajan, and R. M. Vasu "Interior photon absorption based adaptive regularization improves diffuse optical tomography", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754611 (26 February 2010); https://doi.org/10.1117/12.853421

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