This module is inactive in the selected year. The information shown below is for the academic year that the module was last running in, prior to the year selected.

2019/20 Undergraduate Module Catalogue

ARCS3196 Pattern Recognition for Medical Imaging

10 creditsClass Size: 30

Module manager: Mr Voyin Pantic
Email: v.pantic@Leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2019/20

Pre-requisite qualifications

As per programme specification

This module is mutually exclusive with

ARCS5261M

Principles for Medical Imaging Interpretation

This module is not approved as a discovery module

Module summary

This module will integrate the knowledge gained in previous modules with regards to the anatomy and physical principles of diagnostic image formation; in order to enable the students to recognise the presentation of anatomical features on diagnostic images produced by Radiography, sectional imaging and the changes which may result with onset of pathology. These pattern recognition skills are fundamental in order to provide a foundation in understanding, analysing and interpreting diagnostic images.

Objectives

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

1. Develop fundamental image interpretation skills;
2. Evaluate the factors involved in pattern recognition of diagnostic images
3. Identify anatomical features as presented on diagnostic images of the body;
4. Relate common anatomical and physiological image appearance to diagnostic image production by the various imaging modalities;
5. Evaluate how pathological manifestations are represented on diagnostic images;
6. Develop strategies for their own learning.

Learning outcomes
On successful completion of this module, the student will gain knowledge in the following areas

- Pattern recognition skills essential in order to begin to identify, understand, analyse and interpret diagnostic images;
- Anatomical presentation of the body on diagnostic images;
- General changes causing deviation from normal diagnostic image appearances.

Skills outcomes
To develop skills and knowledge in order to recognise anatomical features as presented diagnostic images

To develop skills and understanding of a systematic approach to image interpretation.

To develop an appreciation as to how pathology may present itself on diagnostic images.

These skills will provide a foundation for understanding, analysing and interpreting diagnostic images.

Syllabus

Principles of Pattern Recognition, the diagnostic image and theories and factors influencing pattern recognition (to include basic changes as a result of pathology), radiographic anatomy, anatomical relationships and sectional imaging of the following systems: Musculoskeletal, Cardiovascular, Digestive, Respiratory and Central nervous.

Teaching methods

Delivery type	Number	Length hours	Student hours
Class tests, exams and assessment	1	2.00	2.00
Lecture	7	2.00	14.00
Practical	4	2.00	8.00
Tutorial	2	1.00	2.00
Private study hours			74.00
Total Contact hours			26.00
Total hours (100hr per 10 credits)			100.00

Private study

The private study that has been allocated for this module is to enable the student to prepare and supplement their notes for this module, to read around the subject, and to prepare for the assessments. The breakdown of hours for the activities identified is as follows:

28 hours reading/ writing up notes
12 hours Work book completion
8 hours tutorial preparation
26 hours assessment and preparation

Please note that the above hours are a guideline and you may require additional time for the activities.

Opportunities for Formative Feedback

During the module the student will be required to undertake course work. This will help develop the students learning and prepare them for the summative assessment. This will take the form of:

Completion of workbooks: -
Use the labels provided to identify structures on the line drawings. Be able to relate these labels and line drawing appearances to the radiographic appearance found on the powerpoint presentation in the vle.

Tutorials: -
The tutorials are designed to help students with identifying problem areas and providing students with a structured approach to aid their understanding of the topics covered. For these sessions to be of use it is important that the student takes an active part in identifying areas of difficulty a couple of weeks prior to the scheduled tutorial.

Formative assessment: -
The formative assessment is computer based examination of images in a similar style to the summative assessment. The intention of the formative assessment is to provide the student with experience of the format of the assessment, in order to fully prepare them for the summative assessment.

Feedback on formative assessment: -
This is an indication of areas where improvement are required, and to provide information on how this can be achieved.

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	1 hr 30 mins	100.00
Total percentage (Assessment Exams)		100.00

The examination occurs in a computer cluster so that students can access images.

Reading list

The reading list is available from the Library website

Last updated: 12/12/2018 10:48:53

Disclaimer

Browse Other Catalogues

• Undergraduate module catalogue
• Taught Postgraduate module catalogue
• Undergraduate programme catalogue
• Taught Postgraduate programme catalogue

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD