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Professional Development
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Computed Tomography Technology


Course Details


Course/Module Code

UZYRMW-15-M

Level

M

Fees

19-20 Accedited 15 credits

£710.00

Assessed

Course Dates

Under the start date is shown: all attendance days and Apply for this course.


Applications

University

Assessment

Rationale

Working in groups, students will write a Wiki throughout the run of the module. The wiki will be themed on the learning outcomes and drawing from lecture/ vodcast content and material from independent study. Grades will reflect individual contribution and academic performance.

The creation of the wiki is very much a learning process and therefore this component of assessment takes an assessment for learning approach. The wiki will be facilitated  by a tutor who will be able to provide formative feedback/feedforward.

The Assessment:

  • The individual contribution to a wiki.

Content

Equipment

  • Scientific principles of CT equipment, technology development and terminology, including the different generations of CT scanners.
  • Fundamental specifics of CT equipment within a radiotherapy / hybrid imaging environment.
  • Equipment development from a detector perspective and subsequent impact upon current / future working practice. Dual source systems, detector panel developments, cone beam.
  • Equipment procurement suitability for service for current and future use.
  • Equipment positioning aids in diagnostic and radiotherapy practice.
  • 4D CT; cardiac and respiratory gating.

Safe working practice 

  • CT examination dosimetry and including verification / planning dose.
  • Radiation protection (patient and staff), current regulations and other relevant legislation, and guidelines, isodose curves.
  • Fundamentals of image formation in CT (incl. filtered back projection /reconstruction factors/ iterative reconstruction).
  • Dose modulation principles & application to clinical practice.
  • Scientific principles of modern contrast injector systems and application to clinical practice.

Image quality and quality assurance 

  • Image quality factors affecting this.
  • Fundamentals of image re-formatting (3D, maximum intensity projections (MIPs),  multiplanar reconstruction (MPR)) and image fusion (software & hardware based).
  • Reformatting data for radiotherapy planning (Digital Imaging and Communication in Medicine (DICOM) RT) and data archiving /Picture archiving and communication system(PACS) networks.
  • Quality Assurance and control tests in CT, reasoning behind tests, protocols and current legal and recommended requirements of such.
  • Detecting image artefacts in CT, equipment faults and problem solving.

Entry Requirements

You must have a radiography professional qualification or relevant clinical Computed Tomography (CT) experience.

Introduction

On successful completion of the Computed Tomography Technology module, students will be able to:

  • Demonstrate a systematic understanding of the physics and technology of computed tomography.
  • Critically evaluate the technical quality of CT images to determine errors and determine remedial action.
  • Critically evaluate current CT principles, safety, legislation, dosimetry and guidelines and apply these appropriately in a clinical setting.
  • Critically analyse a range of image reformatting and post processing technologies.
  • Demonstrate an in depth understanding of digital archiving systems, system networking and data transfer within Diagnostic Imaging/Radiotherapy practice.

Learning and Teaching

  • The teaching and learning strategy will embrace a series of vodcasts and self-directed activities presented via the VLE. Students will also engage in knowledge construction peer learning and social constructivism through work on the wiki.
  • The wiki will provide a medium for tutor facilitation and formative feedback/feedforward.

Scheduled Learning
Keynote lectures presented as vodcasts, wiki facilitation

Independent learning
Essential reading, wiki writing, group work, assessment preparation.

Telephone

+44 (0)117 32 81158

Title

15 credit Masters level module


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