Description
This course will cover the mathematical conceptual foundations of medical imaging science. These fundamentals cover topics such as signal processing, noise analysis, and image reconstruction with a large focus on Fourier Transforms. The course includes theoretical foundations and concept applications through exercises based on computational environment such as Matlab. The course includes also a project compiling all the fundamental concepts introduced for real data applications such as medical and engineering research challenges.