19E064MFMS - Medical Imaging Methods

Course specification
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
    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.
    URL to the subject page
    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).
    1. M. Vujisić, P. Marinković - Methods in Medical Image Formation (Lecture handouts) (ETF, Belgrade, 2019)
    2. C.L. Epstein - Introduction to the Mathematics Of Medical Imaging (2nd edition, Society for Industrial & Applied Mathematics, 2007) (Original title)
    3. G. Zeng - Medical Image Reconstruction (A Conceptual Tutorial) (Springer, 2010) (Original title)
    4. J.T. Bushberg, J.A. Seibert, E.M. Leidholdt Jr., J.M. Boone - The Essential Physics of Medical Imaging (3rd edition, Lippincott Williams & Wilkins, 2011) (Original title)
    5. A.C. Kak, M. Slaney - Principles of Computerized Tomographic Imaging (Society for Industrial and Applied Mathematics, 2001) (Original title)
    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
    Seminars 40