| CODE | SCE3021 | ||||||||||||
| TITLE | Biomedical Signal and Image Processing for Medical Physics | ||||||||||||
| UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | ||||||||||||
| ECTS CREDITS | 6 | ||||||||||||
| DEPARTMENT | Systems and Control Engineering | ||||||||||||
| DESCRIPTION | Biomedical signal and image processing are two of the most powerful tools in medical diagnosis and is to be found in all speciality areas of Medical Physics. Many devices are often controlled using biomedical signals from the patient. Biomedical signal processing is important for enhancing the visual appearance of physiological signals for the clinician, for preparing signals for measurement of features present and for the extraction of quantitative data from the signals. Biomedical image analysis is important for enhancing the visual appearance of images for the clinician, for preparing images for measurement of structures and features present and for the extraction of quantitative data from the images. The unit includes hands-on programming tutorials using MATLAB and the use of MATLAB signal and image processing toolboxes. Study-unit Aims: The study-unit aims to help students acquire: - The knowledge and skills of biomedical signal and image processing required for medical diagnosis; - Skill in applying the signal and image processing techniques to the processing of clinical biomedical diagnostic signals and images; - Skill in writing MATLAB scripts for biomedical signal and image processing purposes; - Skill in using the MATLAB signal and image processing toolboxes. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - Discuss the origin and nature of biomedical signals; - Apply the following signal processing techniques to biomedical signals: - Signal sampling and quantisation; - LTI systems; - Frequency domain analysis of signals; - Signal filtering. - Discuss the origin and nature of biomedical images; - Apply the following image processing techniques to biomedical images: - Generation of digital images; - Intensity transformation in digital images; - Spatial filtering; - Frequency domain filtering of images; - Image segmentation; - Classification of objects of interest in images. 2. Skills By the end of the study-unit the student will be able to: - Write MATLAB scripts for biomedical signal and image processing purposes; - Apply MATLAB signal and image processing toolboxes for solving clinical diagnostic tasks. Main Text/s and any supplementary readings: Main - Proakis J. G. & Manolakis D. G. (2013). Digital Signal Processing, Principles, Algorithms and Applications. Prentice-Hall. - Gonzalez C. R. & Woods R. E. (2017). Digital image processing. Prentice Hall. Supplementary - Birkfellner W. (2014). Applied Medical Image Processing: A basic course (uses MATLAB). CRC Press. - Dvorak P. (2018) Clinical Radiotherapy Physics with MATLAB: A Problem-Solving Approach (Series in Medical Physics and Biomedical Engineering). CRC Press. |
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| STUDY-UNIT TYPE | Lecture, Independent Study & Tutorial | ||||||||||||
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| LECTURER/S | Alexandra Bonnici Stefania Cristina |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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