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RDGY30520

Academic Year 2025/2026

Medical Imaging (Clin/Res) (RDGY30520)

Subject:
Radiography
College:
Health & Agricultural Sciences
School:
Medicine
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Ms Jennifer Grehan
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module aims to enable students to develop specialised knowledge and understanding of the underlying physical principles of imaging modalities associated with clinical medical imaging and small animal imaging: conventional radiography (X-rays), Ultrasound (US), Computed tomography (CT), Magnetic Resonance Imaging (MRI), Radionuclide Imaging (RNI), Positron Emission Tomography (PET), PET / CT, Interventional Radiography (IR), Breast and DXA imaging and an introduction to AI in medical imaging. This module introduces aspects of equipment design, image acquisition and processing, with clinical applications from both diagnostic and research perspectives. It will provide students with the ability to differentiate and discuss core technologies and discuss the appropriateness of each for certain clinical / pathological conditions along with potential research applications.

About this Module

Learning Outcomes:

On completion of this module the successful student will be able to:

- Use scientific concepts to explain the basic physical processes that underpin conventional radiography (X-rays), Ultrasound (US), Computed tomography (CT), Magnetic Resonance Imaging MRI), Radionuclide Imaging (RNI), Positron Emission Tomography (PET) and PET / CT, Interventional Radiology, breast and DXA imaging, and AI in medical imaging.

- Discuss the key components and operating principles of these imaging modalities.

- Be able to justify the use of each imaging modality to specific clinical conditions whilst considering the indications and considerations.

- Be able to justify the use of each imaging modality to various research applications.

Student Effort Hours:
Student Effort Type Hours
Lectures

20
Autonomous Student Learning

105
Total

125

Approaches to Teaching and Learning:
Lectures

Case-based learning

Regarding the use of AI, the following applies to this module:

AI Use Permitted for Limited Support
Students may use AI tools for limited support in this module (e.g., idea generation, practice questions, or as a study aid). However, students remain fully responsible for the accuracy and reliability of their learning. Any use of AI must be cited appropriately.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
RDGY10090 - Healthcare Imaging&Info System


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): End of Trimester: 1-hour MCQ exam Week 11 Alternative linear conversion grade scale 40% No
70
 No
Individual Project: Mid-Trimester: Students will submit a patient information leaflet based on module content Week 5 Graded No
30
 No

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
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?

Not yet recorded.

Name Role
Mrs Emmelise Barnard Lecturer / Co-Lecturer
Ms Andrea Cradock Lecturer / Co-Lecturer
Dr Catherine D'Helft Lecturer / Co-Lecturer
Ms Philomena Donohoe Lecturer / Co-Lecturer
Assoc Professor Shane Foley Lecturer / Co-Lecturer
Mrs Allison Kacperski Lecturer / Co-Lecturer
Ms Éilish McDermott Lecturer / Co-Lecturer
Ms Shauna Murphy Lecturer / Co-Lecturer
Dr Rachel Toomey 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, 23, 24, 25, 26, 29 Mon 15:00 - 16:50
Spring Lecture Offering 1 Week(s) - 31 Mon 15:00 - 16:50
Spring Lecture Offering 1 Week(s) - 32 Mon 15:00 - 16:50
Spring Online Learning Offering 1 Week(s) - 33 Mon 15:00 - 16:50
Spring Lecture Offering 1 Week(s) - 34 Mon 15:00 - 16:50
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