19E064MFMS - Medical Imaging Methods
Course specification | ||||
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Course title | Medical Imaging Methods | |||
Acronym | 19E064MFMS | |||
Study programme | Electrical Engineering and Computing | |||
Module | Physical Electronics - Biomedical and Environmental Engineering | |||
Type of study | bachelor academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | mandatory | |
Condition | ||||
The goal | Grasping the mathematical techniques for tomographic image reconstruction and ways for correcting the image for the effects of physical phenomena specific to various imaging modalities. Getting to know the principles of quantitatively expressing medical image quality and tomographic system performance. | |||
The outcome | Understanding how working principles of various medical imaging systems relate to mathematical algorithms for image reconstruction. Capacity to implement reconstruction methods and optimize them with respect to image quality. | |||
Contents | ||||
URL to the subject page | https://teams.microsoft.com/l/team/19%3AKuai_8ooKVnlnjXqnpd0iNzxqg7k4D-9ZaT_I5SMONw1%40thread.tacv2/conversations?groupId=4844cb2b-66df-43c5-94c8-11135282240b&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba | |||
Contents of lectures | Medical imaging modalities. Mathematical foundations of tomography. Analytical and algebraic methods for tomographic image reconstruction. Quantitative expression of medical image quality and tomographic system performance. CT numbers (Hounsfield units). Fan-beam geometry in CT. Corrections for beam-hardening, attenuation and scattering. Image reconstruction in MRI. | |||
Contents of exercises | Problem-solving exercises (which illustrate topics covered by the theoretical contents of the course). | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
3 | 2 | |||
Methods of teaching | Lectures, problem-solving exercises, project assignments (in MATLAB). | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | 60 | ||
Practical lessons | Oral examination | |||
Projects | ||||
Colloquia | ||||
Seminars | 40 |