RDGY30590 Computed Tomography

Academic Year 2023/2024

This module provides you with the fundamental knowledge that underpins Computed Tomography (CT) protocols, technology, and image processing. It addresses a broad spectrum of clinical scenarios and some basic image apperances to demonstrate the clinical utility of the modality. The module will incorporate lectures, tutorials, student-directed e-learning and quizzes and the theoretical learning will be supported by image review sessions. Spring 2024 trimester lectures will be delivered in-person at UCD. To undertake this module you must have already passed Clinical Practice of Radiography RDGY20180.


Show/hide contentOpenClose All

Curricular information is subject to change

Learning Outcomes:

Throughout this module, you will develop knowledge, professional skills and personal attributes relevant to your future radiographic practice and at the end of this module you should be able to:

1. Explain the fundamental principles underpinning CT scanner technology, data acquisition and image reconstruction;
2. Explain the fundamental principles underpinning CT image display and post-processing of CT images;
3. Justify the most appropriate CT protocol or approach for a given clinical scenario based on clinical guidelines/evidence;
4. Discuss patient preparation and patient care (including radiation safety) for CT examinations;
5. Discuss the application of intravenous contrast agents to investigate specific CT clinical indications;
7. Apply theoretical knowledge of CT protocols/scan and reconstruction parameters to investigate various clinical indications;
8. Discuss how the various components of CT protocols influence radiation dose, image quality or outcomes;
9. Demonstrate an ability to identify and describe basic anatomy and pathology on CT images identified in the module.

Indicative Module Content:

The syllabus will encourage you to consider technological and clinical practice issues to include: Components of a CT scanner, CT scan and reconstruction parameters, digital image display, image quality, CT radiation dose, advanced processing, and the need for quality assurance in CT. Patient care and preparation, clinical indications, scan protocols, and basic image appearances will be considered for a range of anatomical areas.

Student Effort Hours: 
Student Effort Type Hours
Lectures

13

Tutorial

11

Autonomous Student Learning

70

Online Learning

6

Total

100

Approaches to Teaching and Learning:
The CT module is delivered during the Spring Trimester and adopts a blended learning approach.
- The technology of CT topics are 1st introduced through recorded lectures that you can listen to at your own pace. In order to support this activity, you will engage with a Brightspace quizz and discussion board and attend an in-class tutorial on each topic.
- The clinical application topics are delivered face to face in UCD and are further supported through image review sessions to illustrate CT image appearances relating to that topic.
 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Examination on CT practice topics covered in the module. 1 hour End of Trimester Exam No Graded No

60

Multiple Choice Questionnaire: Multi-select/multi-choice Brightspace quiz based on content covered during weeks 1 to 5 inclusive. Week 6 n/a Alternative linear conversion grade scale 40% No

40


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Autumn Yes - 1 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Feedback on assessment tasks will be provided.

Name Role
Assoc Professor Shane Foley Lecturer / Co-Lecturer
Mr Martin Heduan Lecturer / Co-Lecturer
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
     
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 29, 30, 31, 32, 33 Thurs 14:00 - 14:50
Computer Aided Lab Offering 1 Week(s) - 26 Thurs 14:00 - 14:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 12:00 - 12:50
Spring