Neuroimaging: Common Image Processing Techniques 2 (P01860)

? Credit Points : 20 ? SCQF Level : 11 ? Acronym : MED-P-P01860

This core course takes the student further into more complex aspects of image analysis including spectroscopy analysis, techniques for registering images from different scan sequences acquired contemporaneously or acquired at different times, statistical parametric mapping, other functional MRI techniques, voxel-based analyses and other aspects of image fusion.

Entry Requirements

? Special Arrangements for Entry : Large written submissions are not very suitable to the assessment of a student's appreciation of the finer points of imaging. There will be short questions embedded in the end of the teaching session using a variety of question types:- multiple choice, drag and drop, short written answer, etc. The questions embedded in this course will be worth 5% of the overall final mark.

Students will also be expected to contribute to online discussions in the online course community at regular intervals
A number of bespoke technologies and the University’s online assessment tool QuestionMark Perception will be used to deliver the more interactive and visually driven elements of assessment. The principle of constructive alignment will underpin all assessments. This will ensure the assessment tasks are aligned with the specific course objectives

Subject Areas

Home subject area

Neuroscience (Medicine), (Medicine, Schedule R)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Additional Class Information : Course will be delivered by distance learning, using WebCT as the delivery platform. Students will be expected to spend 15-20 hour a week studying, including accessing online materials and tests and participating in online discussions.

Summary of Intended Learning Outcomes

The programme aims to contribute to improved understanding of the use of neuroimaging in research by users from a wide range of different disciplines, including understanding the principals of study design to avoid bias, practicalities and limitations of different imaging techniques, and image analysis processes. This will improve the design, quality and interpretation of neuroimaging as used in research and help advance knowledge faster.

Assessment Information

Assessment will consist of continuous, in-course assessments and a final assessment. In-course assessment will be composed of a mixture of multiple choice-type questions, short essays, practical tasks, contributions to discussions and group learning activities - and will be delivered in time with individual modules making up the course. Final assessment will normally include a combination of multiple choice-type questions and short essays and it will take place at the end of the course period.

A number of bespoke technologies and the University’s online assessment tool QuestionMark Perception will be used to deliver the more interactive and visually driven elements of assessment.

The principle of constructive alignment will underpin all assessments. This will ensure the assessment tasks are aligned with the specific course objectives.