RDGY30590 Computed Tomography

Academic Year 2022/2023

This module provides you with the fundamental knowledge that underpins Computed Tomography (CT) protocols, technology, and image processing. The module will incorporate lectures, tutorials, student-directed e-learning and quizzes to demonstrate the clinical value of this imaging technique. The theoretical learning on the module will be supported by image review sessions that demonstrate the clinical utility of CT. Spring 2023 trimester lectures will be delivered in UCD (contingency plans exist to move to online delivery if necessary). To undertake this module you must have already passed Clinical Practice of Radiography RDGY20180.


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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;
2. Explain the fundamental principles underpinning CT data reconstruction;
3. Explain the fundamental principles underpinning CT image processing;
4. Justify the most appropriate CT examination or approach for a given clinical scenario based on clinical guidelines/evidence;
5. Discuss patient preparation and patient care (including radiation safety) for the CT examinations covered in the module;
6. Explain the various components of CT protocols covered in the module (including injection protocol and CT scan/reconstruction parameters);
7. Explain how the various components of CT protocols influence radiation dose, image quality or outcomes;
8. Demonstrate an ability to recognise, 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

15
Tutorial

6
Specified Learning Activities

4
Autonomous Student Learning

82
Online Learning

6
Total

113
Approaches to Teaching and Learning:
The CT module is delivered during the Spring Trimester and adopts a blended learning approach.

Learning is largely delivered face to face in UCD through lectures. Student learning is further supported through the use of e-Learning and image appraisal sessions. A variety of Brightspace quizzes and discussion boards are available for students to engage more deeply with module content.

 
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 topics/themes relating to clinical practice covered in the module. 1 hour End of Trimester Exam No Graded No

70
Multiple Choice Questionnaire: Multi-select/multi-choice examination in Brightspace based on the content delivered. Week 6 n/a Alternative linear conversion grade scale 40% No

30

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

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Class feedback on assessment tasks is provided.

Name Role
Assoc Professor Shane Foley Lecturer / Co-Lecturer
Mr Martin Heduan Lecturer / Co-Lecturer