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PAM3012 Digital Image Processing for Radiographers2007-2008Code: PAM3012Title: Digital Image Processing for Radiographers Instructors: Dr J.J. Moger CATS credits: 15 ECTS credits: 7.5 Availability: B821 only Level: 3 Pre-requisites: N/A Co-requisites: N/A Background Assumed: Science for Medical Imaging (PAM2011) Duration: Weeks 11-20 Directed Study Time: 30 hours Private Study Time: 118 hours Assessment Tasks Time: 2 hours Observation report: 2006/07 SJW AimsIn this module, students will integrate theory with practice by drawing on their prior experience of imaging modalities, and re-interpreting their knowledge of imaging within a mathematical and scientific framework. Students will develop a level of mathematical skill sufficient to analyse complex waveforms and appreciate the statistical consequences of the information stored in an image. They will develop a knowledge of the underlying algorithms used by image manipulation tools and the extent to which the use of these affect the qualities of the image. Finally, students will learn how each and every component of the imaging chain, from presentation of patient through to the interpretive skills of the radiographer/radiologist can affect the predictive diagnostic capabilities of a method. Intended Learning OutcomesStudents should be able to: Module Specific Skills
Discipline Specific Skills
Personal and Key Skills
Learning and Teaching MethodsLectures (21×1hour) and practical work (9 hours). Directed background reading. AssignmentsThree computer-based exercises (3×3hour). AssessmentOne 2-hour examination (90% Week 20) and practical work (10%). Syllabus Plan and Content
Core TextNot applicableSupplementary Text(s)(2005), Practical Statistics for Medical Research, Chapman & Hall, ISBN 1-58-488039-2 (UL: W 150 ALT)(2001), Image Analysis: Methods and Applications (2nd edition), CRC Pres, ISBN 0-84-930239-0 (UL: On Order) Formative MechanismsStudents can monitor their understanding of the module by attempting practice examination questions. Students with specific problems are encouraged to approach the lecturer. In addition, students are able to monitor their own progress in the practical sessions. Evaluation MechanismsThe module will be evaluated using information gathered via the student representation mechanisms, the staff peer appraisal scheme, and measures of student attainment based on summative assessment. |