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Unit information: Biomedical Imaging in 2016/17

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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 Department of Electrical & Electronic Engineering
Faculty Faculty of Engineering

Description

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

Intended learning outcomes

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.

Teaching details

Lectures and laboratory practicals

Assessment Details

Coursework (10%): Written report on computer-based laboratory experiments

Terminal Exam (90%): 2 hour written paper

Reading and References

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

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