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RDGY30520

Academic Year 2024/2025

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 radiology, breast imaging, forensic radiography and and introduction to AI in medical imaging. This module introduces aspects of equipment design, image acquisition, image processing, clinical applications from both the 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 imaging, forensic radiography and there will be an introduction to 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

24
Autonomous Student Learning

101
Total

125

Approaches to Teaching and Learning:
lectures
case-based learning

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): MCQ/Short answer exam Week 10 Alternative linear conversion grade scale 40% No
40
 No
Assignment(Including Essay): End of Trimester Assignment based on module content Week 12 Graded No
60
 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
Ms Andrea Cradock Lecturer / Co-Lecturer
Ms Philomena Donohoe Lecturer / Co-Lecturer
Assoc Professor Shane Foley Lecturer / Co-Lecturer
Mrs Allison Kacperski Lecturer / Co-Lecturer
Ms Aine Lunney Lecturer / Co-Lecturer
Ms Marion Maher Lecturer / Co-Lecturer
Ms Éilish McDermott Lecturer / Co-Lecturer
Ms Shauna Murphy Lecturer / Co-Lecturer
Ms Marie-Louise Ryan 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, 31, 32, 33, 34 Mon 15:00 - 16:50
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