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2-D Numerical Image Reconstruction in Diffuse Optical Tomography using Iterative Regularized Gauss-Newton Algorithm

Harsono Cahyadi, Deddy Kurniadi, Endang Juliastuti


Diffuse Optical Tomography (DOT) is a new imaging technique using light radiation as the source. Due to some difficulties in DOT, it is necessary to employ a revolutionary reconstruction method, namely Model Based Iterative Image Reconstruction (MoBIIR). Since this method requires a matrix inversion, we have to guarantee that the matrix is non-singular. Otherwise, the system matrix is usually found singular. One of the appropriate solutions to this problem is applying a regularization technique. Therefore, in this study we focus on observing an iterative reconstruction algorithm with regularization technique for two different objects. We observe this algorithm for steady state domain of DOT system and time-independent case. The conclusion of this study is that we need to employ a regularization technique in MoBIIR algorithm of DOT.


Diffuse Optical Tomography, iterative reconstruction, regularization technique

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