Course Title: Computed Tomography

Part A: Course Overview

Course Title: Computed Tomography

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


Bundoora Campus


160H Medical Sciences


Sem 1 2011,
Sem 1 2012,
Sem 1 2013


Bundoora Campus


160H Medical Sciences


Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


Bundoora Campus


173H School of Health and Biomed


Sem 1 2018,
Sem 1 2019,
Sem 1 2020

Course Coordinator: Edel Doyle

Course Coordinator Phone: +61 3 9925 6646

Course Coordinator Email:

Course Coordinator Location: 201.08.012

Pre-requisite Courses and Assumed Knowledge and Capabilities

System Enforced Pre-requisites (Enforced by SAMS)




Required concurrent study (Co-requisites)



Course Description

This course will develop your understanding of the clinical, technological and instrumental basis of Computed Tomography (CT) You will be introduced to topics that include CT scanning techniques, cross-sectional anatomy and pathology, contrast enhanced CT and emerging technologies in CT.  In addition, you will learn the technological aspects and physics concepts of CT including instrumentation, dosimetry, image quality and computing and reconstruction techniques.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BP148 Bachelor of Applied Science (Medical Radiations) (aligned to the Accreditation Standards of the Medical Radiations Practice Board of Australia):

Standard 1.5 Practice in medical radiation sciences

1.5b. Apply principles of medical radiation physics and instrumentation

Standard 1.6 Practice in diagnostic radiography

1.6 1c. Implement diagnostic computed tomography (CT) imaging

Standard 1.7 Practice in nuclear medicine

1.7 1a. Implement the preparation and assess purity of radiopharmaceuticals 

1.7 1b. Explain the biodistribution and applications of radiopharmaceuticals including therapies

1.7 1c. Implement routine nuclear medicine imaging

1.7 1d. Implement computed tomography (CT) imaging for nuclear medicine imaging

1.7 1e. Implement the delivery of nuclear medicine radioisotope examinations and therapies

On successful completion of this course you should be able to:

  1. Apply knowledge of patient positioning and examination planning using Computed Tomography (CT)
  2. Discuss the technological aspects and physics concepts of Computed Tomography (CT), and their application in the clinical practice of CT 
  3. Critically evaluate images generated with Computed Tomography (CT) data sets with respect to anatomical structures, pathology, artefacts and scanning parameters


Overview of Learning Activities

The core content of the course will be delivered via lectures and tutorials. You will also undertake problem-based learning, online learning activities and self-directed study. This course is supported by RMIT's online Learning Management System (LMS).

Teacher Guided Hours: 60-70

Learner Directed Hours: 50-60

Overview of Learning Resources

You will be expected to make use of RMIT's online Learning Management System (LMS). This resource provides a range of materials aimed at supporting your learning and you are encouraged to actively use this site and the material it contains. You are also expected to conduct a significant level of self-directed learning to reinforce learned concepts. There is the expectation that you will access appropriate peer-reviewed literature via the RMIT library. The Medical Radiations Subject Guide (URL: provides useful references. A detailed course schedule will be available via myRMIT. Any changes to this schedule due to unforeseen circumstances will be posted on the course Canvas site.

Overview of Assessment

This course has no hurdle requirements.

Assessment Tasks

Assessment Task 1: Written Assignment

Weighting 30%

This assessment task supports CLOs 1, 2 & 3

Assessment Task 2: Tests

Weighting 20%

This assessment task supports CLOs 1, 2 & 3

Assessment Task 3: Examination

Weighting 50%

This assessment task supports CLOs 1, 2 & 3