Course Title: Cross-Sectional Anatomy

Part A: Course Overview

Course Title: Cross-Sectional Anatomy

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


Bundoora Campus


173H School of Health and Biomed


Sem 2 2020,
Sem 2 2021

Course Coordinator: John Ryan

Course Coordinator Phone: +61 3 9925 7909

Course Coordinator Email:

Course Coordinator Location: 201.08.016

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

The ability to identify anatomical structures on a range of imaging modalities is an essential skill for medical radiations practitioners. This course builds on your existing anatomy knowledge. The primary focus is cross-sectional imaging anatomy recognition. This course is designed to enable you to identify relevant structures using a range of imaging modalities.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BP321 Bachelor of Applied Science (Medical Radiations) (aligned to the Accreditation Standards of the Medical Radiations Practice Board of Australia):

Standard 1

  • Apply knowledge of anatomy, physiology and pathology to practice (1.a)
  • Understand and apply the different methods of imaging and treatment (1.c)
  • Confirm the procedure according to clinical indicators (1.d)

Standard 1A

  • Perform projection radiography examinations in a range of settings (1A.a)

Standard 1B

  • Perform nuclear medicine examinations and therapies (1B.b)

Standard 1C

  • Perform localisation and pre-treatment imaging (1C.b)

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

  1. Demonstrate the ability to adjust the image settings to aid in the correct anatomical identification of structures on a range of modalities and views
  2. Identify major anatomical structures relevant to your profession on a range of images
  3. Develop and demonstrate strategies to support the correct anatomical identification of structures within a peer network

Overview of Learning Activities

The didactic content in this course is pre-recorded and immediately available . It can be accessed at a pace to suite different learning needs/schedules. You will learn through a range of teacher directed learning activities including lectures, practicals and live tutorial classes. There will be self-directed study and team-based based peer support. This course is supported by RMIT's online learning management system.

Overview of Learning Resources

You will undertake a range of learning activities including; lectures, practicals and tutorials. A blended teaching approach, with the integration of technology to enhance learning will be undertaken. The learning content will be scaffolded with continuous engagement required. Content will be delivered and assessed in a manner consistent with clinical practice. You will be supplied with 3-dimensional image datasets and appropriate image review software to enable the connection between anatomy theory and clinical practice requirements. This course will require significant engagement with the prescribed learning resources on Canvas. Specific learning materials include prescribed readings, links to relevant internet sites and other electronic resources. You will be required to reflect on your progress and performance in this course. The assessment tasks for this course are designed to ensure maximum understanding of the content and it is important that you recognise the role of assessment in your learning. You should view the assessment tasks as part of your learning and ensure that you utilise the feedback to progress your learning and personal development.

Overview of Assessment

This course has no hurdle requirements.

Assessment Tasks

Assessment Task 1: Mid Semester Practical Assessment

Weighting 30%

This assessment task supports CLO 1, 2 & 3

Assessment Task 2: Cross-Sectional Imaging Anatomy Portfolio

Weighting 30%

This assessment task supports CLOs 1, 2 & 3

Assessment Task 3: End of Year Practical Assessment

Weighting 40%

This assessment task supports CLOs 1 & 2