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arxiv: 1510.03233 · v1 · pith:FOGO4U7Jnew · submitted 2015-10-12 · 🧮 math.NA

A Generalized Bidiagonal-Tikhonov Method Applied To Differential Phase Contrast Tomography

classification 🧮 math.NA
keywords contrastphasedatadifferencegeneralizedmethodtomographyabsorption
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Phase contrast tomography is an alternative to classic absorption contrast tomography that leads to higher contrast reconstructions in many applications. We review how phase contrast data can be acquired by using a combination of phase and absorption gratings. Using algebraic reconstruction techniques the object can be reconstructed from the measured data. In order to solve the resulting linear system we propose the Generalized Bidiagonal Tikhonov (GBiT) method, an adaptation of the generalized Arnoldi-Tikhonov method that uses the bidiagonal decomposition of the matrix instead of the Arnoldi decomposition. We also study the effect of the finite difference operator in the model by examining the reconstructions with either a forward difference or a central difference approximation. We validate our conclusions with simulated and experimental data.

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