Unit name | Biomedical Imaging |
---|---|
Unit code | EENGM0006 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Achim |
Open unit status | Not open |
Pre-requisites |
Undergraduate degree in Engineering |
Co-requisites |
none |
School/department | School of Electrical, Electronic and Mechanical Engineering |
Faculty | Faculty of Engineering |
The unit includes two distinct components, one focusing on Instrumentation and Measurements and introducing the main medical image formation systems , while the second is more focused on Image Processing and Analysis. The modalities that will be studied include X-ray, Computed Tomography, MRI, Ultrasound, Nuclear/Molecular Imaging (PET and SPECT) and light- and electron-microscopy.
Elements:
Part I
1. General image characteristics, data acquisition image representation and reconstruction
2. X-ray planar radiography and computed tomography
3. Nuclear medicine: Planar scintigraphy, SPECT and PET/CT
4. Ultrasound Imaging
5. Magnetic Resonance Imaging (MRI)
6. Microscopy
Part II
7. Filtering and Transformations
8. Filtering in the frequency Domain
9. Restoration and Reconstruction
10. Image Segmentation
11. Registration and Fusion
Students will be able to:-
· Appreciate and describe the physical concepts behind various biomedical imaging modalities and quantify their advantages and disadvantages.
· Describe the relevant basic methods in applied medical image processing.
· Design and realise image processing algorithms for a range of applications including noise cancellation, filtering, segmentation and rendering.
Lectures and laboratory practicals
Coursework (10%): Written report on computer-based laboratory experiments
Terminal Exam (90%): 2 hour written paper
Recommended textbooks:
N. B. Smith and A. Webb: "Introduction to Medical Imaging," Cambridge University Press, 2011
R.C Gonzalez and R.E. Woods: "Digital Image Processing," 3rd Edition, Prentice Hall, 2008
V. Hlavac, M.Sonka and R.Boyle: "Image Processing, Analysis and Machine Vision" International Edition, 4th Ed, Cengage Learning, 2015