Bachelor's thesis: Block-based solving strategies for Anisotropic X-ray Dark-field Tomography
Thesis by: Rebecca Richter
Advisor:
Tobias Lasser
Abstract
Anisotropic X-ray Dark-field Tomography (AXDT) enables the visualization of microstructure orientations without having to explicitly resolve them. Based on the directionally dependent X-ray dark-field signal as measured by an X-ray grating interferometer and our spherical harmonics forward model, AXDT reconstructs spherical scattering functions for every volume position, which in turn allows the extraction of the microstructure orientations. Potential applications range from materials testing to medical diagnostics.
Tasks
Subject of this thesis is the acceleration of solving methods used in AXDT. The aim is to investigate block-based solving approaches of the column-block large-scale inverse problem in AXDT. Block-based methods, such as block-parallel and block-sequential or ordered subsets methods, are to be investigated and implemented in our C++ reconstruction framework, with a quantitative evaluation of their performance compared to a basic whole-system approach.
Requirements
Scientific programming, C++
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