A 3-year research project with a large degree of independence. The project took place in the Image Analysis and Computer Graphics section of DTU Compute, and its title was "Computed Tomography Metal Artifact Reduction for Radiotherapy using Magnetic Resonance Imaging". Using Bayesian statistical modelling of the medical images and artifacts along with physical modelling of the CT x-ray acquisition process, the project sought to improve the quantitative accuracy of the CT images used for radiotherapy treatment planning.

A general physics education with chosen courses and projects with biophysical, statistical and computational focus.
This education has given me knowledge of the fundamental laws in the classical disciplines of physics, classical mechanics, thermodynamics, electromagnetism, quantum mechanics and the relationships between them.
My emphasis in the elective part of my studies was on biological, statistical and computational physics. Research experience and the most modern, specialized knowledge of Diffusion Weighted Magnetic Resonance Imaging (dMRI) was gained in my Master's project in collaboration with the Danish Research Center for Magnetic Resonance (DRCMR) on probing the grey matter using dMRI.