Biomedical Imaging Technologies

Subject description

Acquisition of biomedical images:

digital photography and video cameras, optical techniques, microscopic techniques, X-ray imaging, computed tomography, magnetic resonance imaging, ultrasound, emerging imaging technologies – physical principles, acquisition technologies and geometries, implementations and characteristics of imaging devices, image artefacts and quality.

Restoration, reconstruction and calibration: modelling and estimation of noise, image smoothing and sharpening, statistical and adaptive filtering, reconstruction algorithms, calibration and restoration of intensities, geometric calibration.

Image registration and integration:

classification and applications of image registration methods, modelling geometrical transformations and deformations, matching of control points, similarity based registration , similarity measures and optimization methods, analysis and evaluation of registration methods, image integration examples.

The subject is taught in programs

Objectives and competences

To introduce basic technologies for the acquisition of biomedical images and the procedures for their restoration, reconstruction, calibration and integration.

Teaching and learning methods

Basic theory, procedures and practical examples are considered at lectures, while practical knowledge is gained through problem-solving tasks at lab works.

Expected study results

After successful completion of the course, students should be able to:

  • explain physical backgrounds of biomedical imaging techniques
  • describe technological limitations and artefacts
  • interpret information content of biomedical images
  • process digital images with computer programs
  • execute calibration and integration of multimodal images
  • evaluate image quality

Basic sources and literature

  1. Boštjan Likar in Miran Bürmen, Izročki predavanj pri predmetu Biomedicinske slikovne tehnike, Elektronsko gradivo, 2017.
  2. Miran Bürmen, Navodila za laboratorijske vaje pri predmetu Biomedicinske slikovne tehnike, Elektronsko gradivo, 2017.
  3. Miran Bürmen, Uvod v programski jezik Python, Založba FE, 2016.
  4. Boštjan Likar, Biomedicinska slikovna informatika in diagnostika, Založba FE in FRI, 2008.
  5. Jerry L. Prince, Jonathan Links, Medical Imaging Signals and Systems, Prentice Hall, 2nd edition, 2014.

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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana

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