Course Outline

Instructor: Manfred Trummer Office: SSC 10517

The course outline below is very tentative, and we will no tbe covering all topics listed!

1. Introduction
   1. Image Modalities (CT, MRI, PET, SPECT)
   2. The Reconstruction Problem
   3. Radon Transform, X-Ray Transform
2. Analysis and Signal Processing Background
   1. Fourier Transform
   2. Convolution
   3. Radon Transform
   4. Fourier Series and Discrete Fourier transform
   5. Sampling
   6. Filters
3. Reconstruction
   1. Fourier Based Reconstruction
   2. Algebraic Reconstruction Techniques
   3. Probabilities and the ML-EM Algorithm
4. Ill-posed problems. Regularization. Dynamic Imaging.