Graduate Catalog

MATH 787 Mathematical Imaging

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.

Credits

3

Offered

Spring