BaAcceleratedAXDT

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Bachelor's thesis: Accelerated solving strategies in Anisotropic X-ray Dark-field Tomography

Thesis by: Felix Merkl
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 pyramid approaches as well as pre-conditioning of the large-scale inverse problem in AXDT. After investigation of suitable approaches, they are to be implemented in our C++ reconstruction framework, with a quantitative evaluation of their performace compared to a basic conjugate gradient method.

Requirements

Scientific programming, C++

Contact


ProjectForm
Title: Accelerated solving strategies in Anisotropic X-ray Dark-field Tomography
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.
Student: Felix Merkl
Director: Tobias Lasser
Supervisor:  
Type: Bachelor Thesis
Area: Medical Imaging
Status: running
Start: 2018/04/15
Finish: 2018/08/15
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 30 Apr 2018 - 08:10 - TobiasLasser