2026/27 Taught Postgraduate Module Catalogue

MEDP5332M X-ray Computed Tomography

15 Credits Class Size: 30

Module manager: Dr Stephen Kengyelics
Email: s.m.kengyelics@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2026/27

Pre-requisite qualifications

As per entry onto the MSc Medical Imaging. For all students, prior attendance of MEDP5331M Medical X-ray Imaging is compulsory.

Pre-requisites

MEDP5331M Medical X-ray Imaging

Mutually Exclusive

MEDP3532 X-ray Computed Tomography

Module replaces

None.

This module is not approved as an Elective

Module summary

This module describes the principles and techniques employed by modern computed tomography systems. Students will develop their abilities to critically assess the performance of a wide range of computed tomography technology available in a number of clinical application areas.

Objectives

This module aims to provide sufficient knowledge to be able to understand the principles of modern computed X-ray imaging systems and how they are used in clinical practice. The learning activities are designed to provide an understanding of how computed tomography images are formed and reconstructed at a fundamental level.

Learning outcomes

On successful completion of the module students will be able to:

1. Explain the physical principles under-pinning modern computed tomography

2. Appraise the most important technologies currently utilised in computed tomography and appreciate the complimentary roles computed tomography plays alongside other medical imaging modalities in medical diagnosis

3. Critically evaluate the design of current computed tomography imaging equipment and techniques, relating the design, configuration and use of the scanner to the resultant radiation dose to the patient and the quality image of the resultant images

4. Analyse the chain of physical and technical processes contributing to the successful formation, acquisition, processing and display of computed tomography images

5. Interpret the relevant physical characteristics of computed tomography images

6. Assess the fundamental trade-off between image quality and radiation dose to the patient in computed tomography, given a particular clinical imaging scenario

Skills outcomes

On successful completion of the module students will have developed the following digital and technical skills:

Identify the major components of a medical X-ray computed tomography (CT) imaging system.

Distinguish between variants of CT scanners

Identify different types of CT images and describe their use in clinical practice

Syllabus

Principles of computed tomography

Computed tomography scanner design

Radiation dose in CT – weighing the benefit with risk

Patient positioning and scan configuration

Image reconstruction

Image display and visualisation techniques

Teaching Methods

Delivery type Number Length hours Student hours
Lecture 14 1 14
Practical 3 2 6
Seminar 2 1 2
Tutorial 2 1 2
Independent online learning hours 24
Private study hours 102
Total Contact hours 24
Total hours (100hr per 10 credits) 150

Opportunities for Formative Feedback

Each lecture is accompanied by several formative questions (and answers) which students can use to gauge progress, as shown in the listed coursework above. In addition, the three computer sessions, and two tutorials also provide opportunity for feedback and monitoring of student progress.

Methods of Assessment

Coursework
Assessment type Notes % of formal assessment
Self/Peer Assessment Self-assessment questions provided to students, followed by example answers 0
Total percentage (Assessment Coursework) 0

The above formative assessments are provided after each lecture and between them all cover all LOs, SLOs, to help the students prepare for the summative exam.

Exams
Exam type Exam duration % of formal assessment
Unseen exam 2.0 Hrs 0 Mins 100
Total percentage (Assessment Exams) 100

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading List

Check the module area in Minerva for your reading list

Last updated: 22/05/2026

Errors, omissions, failed links etc should be notified to the Catalogue Team