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2011/12 Undergraduate Module Catalogue
MEDP2321 Diagnostic Image Analysis
10 creditsClass Size: 50
Module manager: Mr A Davies
Email: agd@medphysics.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2011/12
Module replaces
MEDP2320This module is approved as an Elective
Module summary
This module describes the fundamentals of digital image processing, and shows how these principles are applied in the field of diagnostic imaging over a range of medical imaging modalities. Teaching is a mixture of lecture based complemented practical exercise.Objectives
To provide an appreciation and understanding of the principles of digital image processing and analysis as applied to the field of diagnostic imaging.Learning outcomes
On completing the module the students will be able to:
- describe the main category classifications scheme for image processing;
- understand the principles of key concepts used in medical image processing and analysis;
- use a image processing package and have the transferable skills that will allow them easily to learn how to use others;
- identify and understand how artefacts on diagnostic images can alter the viewer’s perception and the problems associated with this.
Skills outcomes
Ability to employ image processing and analysis techniques appropriate to medical imaging, having both an understanding of the theoretical background and practical experience.
Syllabus
Generally
1) Identify and understand how artefacts on diagnostic images can alter the viewer’s perception and the problems associated with this.
2) Explain the five category classification scheme for Image Processing.
3) Understand the principles of key concepts used in medical image processing.
4) Use a image processing package
5) Evaluate, compare and contrast alternative methods for performing a particular medical image analysis task
6) Employ good practice when undertaking medical imaging work with regard to planning and execution
7) Recognise the generalisability of the techniques across all medical imaging modalities.
Specifically
Image Perception
1) Understand factors involved in pattern recognition of diagnostic images
2) Evaluate how pathological manifestations are represented on diagnostic images
3) Understand how artefacts on diagnostic images can alter viewer’s perception.
Introduction to Medical Image Analysis
1) Define some basic terms used in Image Processing
2) Understand the brightness and spatial properties of digital images
3) Recognise a range of Image Processing operations
Digital Images
1) Define the formats of computer based digital images
2) Computer number storage and implications for digital imaging
3) Image formation, sampling and re-sampling image matrices
4) Principles of image storage
5) Explain why general purpose image formats are unsuitable for medical Imaging.
6) Medical imaging standard DICOM
7) Introduce geometric image manipulations
Visualisation
1) Understand the advantages and disadvantages of different visualisation Methods
2) Define scene-based and object-based visualisation methods
3) Give examples of alternative ways of viewing data as slices
4) Understand how pixel dimensions affect the appearance of slices
5) Discuss 3D rendering
6) Compare and contrast maximum intensity projection (MIP) with surface rendering.
7) Give examples of the cues used to give an impression of three dimensionality.
Segmentation and Classification
1) Understand image enhancement using the histogram
2) Define the image analysis technique of segmentation
3) Give examples of manual, automatic and semi-automatic methods of segmentation
4) Discuss factors affecting reproducibility of segmentation methods
5) Define the image analysis technique of classification
6) Give examples of methods of classification
7) Give examples of clinical problems where the analytical techniques might be applied.
Image Transforms
1) Introduce common image transforms including Fourier and Hough transforms.
2) Discuss applications of the image transforms.
Filtering Images
1) Identify the difference between distinct block and sliding neighbourhood filtering operations.
2) Give examples and understand rank order filters (e.g. maximum, average, median and sharpening filters).
3) Define the image enhancement technique of convolution filtering both in the spatial and Fourier domains.
4) Perform a simple convolution on a matrix in both Fourier and Spatial domains.
5) Discuss factors affecting the choice of filter and method of application.
6) Recognise the effect of the simplest filters on clinical images.
Image Arithmetic and Morphology
1) Perform logical operations on binary images.
2) Identify the different arithmetic operations that can be applied to images and why these are useful.
3) Perform shape-based morphological operations on medical images and understand their applications.
Registration
1) List a number of applications for image synthesis
2) Define the four steps of image registration
3) Define and distinguish between the four types of image transformation.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Lecture | 18 | 1.00 | 18.00 |
| Practical | 2 | 1.00 | 2.00 |
| Independent online learning hours | 20.00 | ||
| Private study hours | 60.00 | ||
| Total Contact hours | 20.00 | ||
| Total hours (100hr per 10 credits) | 100.00 | ||
Private study
Independent learning via defined online practical exercises to support the face to face teaching. There are also a series of online formative MCQs for student self assessment.Private study includes independent background reading from library and internet resources, completion of the summative assignment, and revision for the exam.
Opportunities for Formative Feedback
Student progress will be monitored via the formative on-line MCQs.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Essay | 1,000 word | 25.00 |
| Computer Exercise | . | 25.00 |
| Total percentage (Assessment Coursework) | 50.00 | |
Both computer exercise and essay will be given as a single assignment, requiring completions of a practical task in the computer exercise and reflection on the results as an essay.
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 1 hr 30 mins | 50.00 |
| Total percentage (Assessment Exams) | 50.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 04/04/2012
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- Undergraduate module catalogue
- Taught Postgraduate module catalogue
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- Taught Postgraduate programme catalogue
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