General course objectives:
The purpose of the course is to give a thorough introduction
to modern diagnostic imaging systems. This includes the primary
systems as X-ray, computer tomgraphy (CT), ultrasound and MR.
Certain aspects of PET, PET/CT and SPECT will also be explained.
Both the physics behind the systems will be taught as well as
the signal processing performed in the systems. A number of
exercises will be made. Two projects
about two different imaging systems must be handed in during the course.
A student who has met the objectives of the course will be able to:
- Explain the physical interaction mechanisms for ultrasound, X-ray, CT, MR, SPECT, and PET scanning.
- Explain the signal processing involved in making a B-mode ultrasound image.
- Explain signal processing methods for estimating blood velocity using ultrasound.
- Explain back-projection algorithms used in CT, MR, and PET scanners.
- Write programs in Matlab that implement signal processing methods and estimators used in medical imaging.
- Understand journal articles on medical imaging and implement signal processing algorithms from the literature.
- Give a quantitative evaluation of signal and image processing algorithms in terms of performance and accuracy.
- Write a scientific report explaining a signal processing algorithm implementation made in Matlab and quantifying its performance.
- Identify anatomic structures in a clinical image.
Physics of ultrasound imaging. B-mode imaging. Signal processing in
flow estimation systems (Doppler Systems). X-ray physics and imaging.
CT scanning and reconstruction. MR scanning and reconstruction. PET, PET/CT
and SPECT scanning. Molecular Imaging. Matlab exercises. Implementation
of signal processing. Report writing. Oral exam.