Biomedical Signals and Images

3 ECTS credits
80 h study time

Offer 1 with catalog number 4012478FNR for all students in the 1st semester at a (F) Master - specialised level.

Semester

1st semester

Enrollment based on exam contract

Impossible

Grading method

Grading (scale from 0 to 20)

Can retake in second session

Yes

Taught in

Dutch

Partnership Agreement

Under interuniversity agreement for degree program

Faculty

Faculty of Engineering

Department

Electronics and Informatics

Educational team

Rudi Deklerck (course titular)

Activities and contact hours

18 contact hours Lecture
18 contact hours Seminar, Exercises or Practicals

Course Content

This information is not up-to-date anymore. Please temporarily consult course sheet ID006871 and contact the instructor.

The course starts with an introduction on one dimensional digital signal processing: linear systems (convolution), Fourier representation, sampling, signal transformations (extendable to more dimensions), filters (FIR), sampling conversion, and reconstruction of the analog signal from its samples. Specific properties and preprocessing of biomedical signals (EEG, ECG, ...) are analysed.

An important part of the course deals with medical imaging: techniques, physical principles, imaging models, instruments.
- Nuclear imaging: physical principles (photon production mechanisms, interactions of photons with materials); Monte-Carlo simulations in medical imaging; instruments (collimators, detectors; gamma camera, PET imaging; SPECT imaging)
- Radiology: imaging in conventional radiology; production of X-rays; X-ray spectrum; CT scanner principles; image reconstruction (mathematical framework, reconstruction algorithms, reconstruction artifacts); digital radiology (subtraction techniques based on contrast agents and dual energy techniques); vizualization of CT scans.
- Magnetic Resonance Imaging, MRI: physical principles, imaging (spatial encoding: slice selection, frequency and phase encoding, signal detection, Fourier reconstruction, sampling), pulse sequences, recent developments (e.g. high acquisition speed techniques).

Medical image processing is the second main part of the course. The basic principles of a number of essential image processing techniques are described. Emphasis goes to aspects that are primarily important for medical images: image enhancement, image visualization (including 3D visualization), segmentation and labeling of images (i.e. delineation and recognition of anatomical entities in medical images, like MRI and CT) and image fusion (geometrical registration of images acquired with the same modality - e.g. CT-CT, or acquired with different modalities - e.g. PET-CT). The principles and techniques are illustrated with demonstrations (e.g. 3D visualization of medical images) and with case-studies based on the results of research projects.
- Perception of images and specific characteristics of medical images
- An introduction to multidimensional signal processing
- Image enhancement techniques
- Image segmentation
- Image fusion, matching and image registration
- Image visualization

The course material is supported by practical exercises on digital signal and image processing and a hospital visit. In this context, an introduction to MATLAB programming is given

Course material

Digital course material (Required) : Biomedische signalen en beelden, cursusnota's
Handbook (Recommended) : Biomedical Image Analysis (Biomedical Engineering S.), Rangaraj M. Rangayyan, Taylor & Francis, 9780849396953, 2004
Handbook (Recommended) : Medical Image Registration (Biomedical Engineering S.), Joseph V. Hajnal, Joseph Hajnal, D. J. Hawkes, CRC Press, 9780367397203, 2019
Handbook (Recommended) : Digital signal processing: principles, algorithms, and applications, John G. Proakis, Dimitris G. Manolakis, 4de, Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 9781292025735, 2013
Handbook (Recommended) : Understanding Digital Signal Processing, Richard G. Lyons, 3de, Pearson Education, 9780137027415, 2011
Handbook (Recommended) : A Course in Digital Signal Processing, Boaz Porat, Wiley, 9780471149613, 1996
Digital course material (Required) : Powerpoint slides
Handbook (Recommended) : Foundations of Medical Imaging, Zang-Hee Cho, Joie P. Jones, Manbir Singh, John Wiley and Sons, Inc., 9780471545736, 1993
Handbook (Recommended) : Medical Image Analysis, Atam P. Dhawan, 2de, IEEE EMBS, IEEE Press, 9780470622056, 2011
Handbook (Recommended) : Physical principles of Medical Imaging, Perry Sprawls, Medical Physics Publishing Madison, Wisconsin, 9780944838549, 1993
Handbook (Recommended) : The Biomedical Engineering Handbook, Four Volume Set, Joseph Bronzino, 4de, CRC Press, IEEE Press, 9781439825334, 2015
Handbook (Recommended) : Digital Image Processing, Gonzalez Woods, 3de, Prentice Hall, 9781292223049, 2018
Handbook (Recommended) : Biosignal and Biomedical Image Processing: MATLAB-based Applications, John L. Semmlow, 3de, Marcel Dekker Ltd, 9781466567368, 2014

Additional info

Temporarily consult course sheet ID006871.

Learning Outcomes

General competencies

Please temporarily consult course sheet ID006871.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

examen with a relative weight of 1 which comprises 100% of the final mark.

Note: contacteer de titularis

Additional info regarding evaluation

Temporarily consult course sheet ID06871.

Allowed unsatisfactory mark

The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context