About This Course
The students will be able to explain the physical principles of MRI and functional MRI imaging for exploration / estimation of the physiological and morphological parameters (e.g. k-space and pulse sequences, tensor estimation and eigen-decomposition, deconvolution, compartment modeling, statistical modeling, and geometric modeling). Students will also achieve practical knowledge of software and algorithms for quantitative analysis of image-based information in space and time, and be able to install and modify these programs for use in analysis and visualization of their own data. This knowledge is particularly linked to MATLAB and Python.
See the BMED360 website for more information
Physics, computer science, mathematics or statistics, on bachelor level. Students with bachelor's degree in biology/life sciences, and strong interest and some previous experience in biomedical image analysis and programming could also be qualified.
Professor at the Department of Biomedicine, University of Bergen
Associate professor at the Department of Computing, Mathematics and Physics, Bergen University College