Medical Imaging Technologies

Please note

This document only provides information for the academic year selected and does not form part of the student contract

School:

School of Computing and Engineering

Credit Rating:

Level (including FHEQ):

I (FHEQ Level 5)

Graded or Non Graded:

Graded

Version Valid From:

2022-09-01

Module Leader:

Vladimir Vishnyakov

Version Number

2022.02

Learning Methods

Guided Independent Study

Tutorial and Project Supervision

Lecture

Practical Classes and Demonstrations

Requirements

Recommended Prior Study

Synopsis

The module teaches a whole set of topics related the medical imaging including physical and mathematical principles, instrumentation, signal processing, data acquisition, data storage and data representation. The module will cover X-ray, Computed Tomography (CT), Magnetic Resonance (MR), Positron Emission Tomography (PET) and ultrasound. You will gain an understanding on the whole process of probing signal interaction with a biological tissue and you will cover the theory and practice of medical imaging, to gain a broad understanding of the whole subject from the signal acquisition to production of data suitable for interpretation by medical professional. You will have first-hand and laboratory based experiences on signal acquisition in medical imaging system engineering, device embodiment, data acquisition and image reconstruction. Imaging safety, ethical and legal frameworks will be introduced and discussed.

Learning Strategy

In this module the learners will engage in a blend of delivery methods facilitating both individual and collaborative aspects of learning to achieve the specified learning outcomes. In particular, this will require the learner to engage with the VLE content, including extensive pre-recorded teaching and support materials, where the learning is facilitated by the tutor-led two-way asynchronous discussion board. To focus the guided learning process, the tutor will set weekly quizzes/assignments (SAIL). These two elements will culminate in face-to-face sessions which will reinforce the learning by clarifying the content through student-led questions/answers interaction. These sessions are followed up by tutorials to illustrate the module content and enable practice in more depth. The learning will be enhanced by a project based experience where the students will use self-directed study time to add depth and breadth to their knowledge of the subject. Practical computer labs will give experience of relevant software and allow the application and development of learning. Practical laboratories will give small groups the opportunity to develop practical techniques and relate subsequent analysis directly to their theoretical knowledge. Students with disability will be accommodated by close adherence to the University of Huddersfield guidelines which inter alia include: (i) pre-recorded materials with captions of suitable size, (ii) Power Point slides following the appropriate font size and colour contrast, (iii) early availability of all materials on VLE – typically at least two weeks in advance.

Outline Syllabus

Medical image properties Signal and image acquisition Signal noise, data quality and strategies for correction and quality improvement Ultrasound X-rays Computed Tomography (CT) Positron Emission Tomography (PET) Magnetic Resonance (MR) Imaging safety, ethical and legal frameworks Quality control

Learning Outcomes

On successful completion of this module students will

Understand the essential concepts and physical principles of human body imaging.

Demonstrate an understanding of the physical principles and physical mechanisms of medical image including instrumentation, signal processing, data acquisition, data storage and data representation.

Demonstrate skills of image acquisition and processing to the level of further medical examination.

Create strategies for equipment utilisation for the best quality data.

State what imaging modality has been used to acquire a medical image based on.

Identify structures on medical images derived from common medical imaging techniques.

Formative Assessment

Assessment 1: Other

Assessment 2: Other

Assessment 3: Other

Assessment 4: Focused classwork observations

Summative Assessment

Assessment 1: Written Assignment

Description:Taught material will contribute an element every week to the SAIL programme (Score As I Learn) submitted via the VLE platform. 11 x 15 minutes weekly assignments (quizzes). Each assignment (quiz) will be worth 3%. Taking the best 8 out of 11 scores.

Assessment Weight:24

Assessment Length:10 Hours (Typical Effort)

Module Learning Outcomes:MLO1, MLO2, MLO3

Individual or Group:Individual

Final Assessment Component:No

Marked Anonymously:Yes

Eligible for Tutor Reassessment:No

Assessment 2: Written Assignment

Description:Laboratory.A written assignment which will include detailed analysis of the results from a laboratory test when using imaging scanners. The report will include description of the modality, data processing, results and discussion and conclusion.

Assessment Weight:26

Assessment Length:1000 Words (Word Count)

Module Learning Outcomes:MLO3, MLO4, MLO5, MLO6

Individual or Group:Individual

Final Assessment Component:No

Marked Anonymously:No

Eligible for Tutor Reassessment:Yes

Assessment 3: In-Class Test

Assessment Criteria

Task 1
The accuracy with which learning is demonstrated.
Task 2
The precision with which results are collected.
The skill with which laboratory equipment and analysis software are used to effectively generate useful results.
The rigour and detail with which the results and analysis are reported and computational exercises carried out.
The precision with which the learned techniques are applied.
Task 3
Suitability of the selection of techniques for reaching solutions.
Accuracy with which mathematical solutions are expressed.
The extent to which the underlying scientific principles are demonstrated.
The quality of the critical appraisal and discussion.

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