Inverse Problems in Tomography

PD Dr. Tobias Lasser

Research Focus

The Inverse Problems in Tomography group focuses on the research and development of novel algorithms and methods for modeling and solving inverse problems in tomographic imaging. Tomographic imaging methods have found a wide range of applications, ranging from medical diagnosis and therapy as well as biomedical research to non-destructive testing and security screening. Continuous advances in medicine, physics, mathematics and computer science have stimulated the development of various novel tomographic imaging methods. Our research is centered on such novel imaging methods, for example

• tomography of the anisotropic X-ray dark-field
• tomography for lightfield microscopy

Team

Current Team Members:

• Tobias Lasser
• Anca Stefanoiu
• Josue Page
• Theodor Cheslerean Boghiu

Former Team Members:

• Yash Sharma
• Saeed Seyyedi
• Matthias Wieczorek
• Jakob Vogel

Topics for Bachelor and Master Theses, Guided Research

Projects for Bachelor and Master Theses, as well as Guided Research, are always available. Here are some general project ideas:

• forward models for lightfield microscopy
• statistical modeling of the inverse problem in anisotropic X-ray dark-field tomography
• efficient approximation algorithms for inverse problems
• high-performance computing for applying the forward model

The concrete topic of a project might deviate from these general ideas, depending on your interests and requirements, as well as on our research interests. Please contact any of our team members via email to inquire about a potential project.

Teaching

(only courses since 2010 are listed)

• 2020SoSe: Computational Imaging (Hauptseminar)
• 2020SoSe: C++: discovering and teaching modern C++20 programming (Hauptseminar)
• 2020SoSe: Grundlagen: Algorithmen und Datenstrukturen (Lecture)
• 2019WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2019WiSe: Computational Imaging (Hauptseminar)
• 2019WiSe: Concepts of C++ Programming (Lecture)
• 2019SoSe: Deep Learning from Scratch in C++ (Praktikum)
• 2018WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2018WiSe: C++: discovering and teaching modern C++17 programming (Hauptseminar)
• 2018SoSe: C++: discovering and teaching modern C++17 programming (Hauptseminar)
• 2018SoSe: Grundlagen: Algorithmen und Datenstrukturen (Lecture)
• 2017WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2017WiSe: Image Reconstruction and Visualization using C++ (Praktikum)
• 2017SoSe: Image Reconstruction and Visualization using C++ (Praktikum)
• 2017SoSe: Grundlagen: Algorithmen und Datenstrukturen (Lecture)
• 2016WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2016WiSe: Image Reconstruction and Visualization using C++ (Praktikum)
• 2016SoSe: Algorithmen und Datenstrukturen (für ET/IT) (Lecture)
• 2016SoSe: Image Reconstruction and Visualization using C++ (Praktikum)
• 2015WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2015WiSe: Image Processing and Visualization using C++ (Praktikum)
• 2015SoSe: Algorithmen und Datenstrukturen (für ET/IT) (Lecture)
• 2014WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2014WiSe: Regularization and Sparsity in X-Ray Computed Tomography (Hauptseminar)
• 2014SoSe: Algorithmen und Datenstrukturen (für ET/IT) (Lecture)
• 2013WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2013SoSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2012WiSe: Algorithmen und Datenstrukturen (für ET/IT) (Lecture)
• 2012SoSe: Novel Medical Imaging Methods (Hauptseminar)
• 2011WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)
• 2011SoSe: Novel Medical Imaging Methods (Hauptseminar)
• 2010WiSe: Basic Mathematical Tools for Imaging and Visualization (Lecture)

Publications

Please see the publication list of Tobias Lasser.