Annika Hofmann
Annika Hofmann
I’m part of a research unit focused on advancing “MR biosignature imaging” for non-invasive tissue characterization, particularly in diffusion-weighted imaging (DWI). My research focuses on developing a sequence combining complex diffusion encoding directions with advanced reconstruction methods. This will lead to faster multidimensional DWI and improved resolution through techniques like simultaneous multi-slice acceleration and low-rank regularization.
I am enthusiastic about supervising thesis and projects, and I encourage individuals from all backgrounds and genders to reach out.
Academic CV
- Since 09/2023
Ph.D. Candidate at Computational Imaging Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg - 04/2020 – 04/2022
M.Sc. in Medical Physics at TU Dortmund University.
Thesis: “T1 and T2*-sensitive MRI of Tissue Oxygenation Status under Cyclic Oxygen Challenge”,
written at University of British Columbia, Vancouver, Canada