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, 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. Upon completion of this course, students should gain a working understanding of a core set of mathematical and computational techniques with multiple applications in medical physics and beyond.