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.Full text not available from this repository.
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|
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