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Curricular information is subject to change
On completion of this module, the successful student will be able to:
• Describe the principles underlying a range of modalities including but not limited to X-ray projection imaging and MRI.
• Understand and describe the uses and limitation of each modality.
• Use a Fourier optics description to analyse imaging systems including microscopes.
• Perform denoising using the wavelet transform.
• Perform pattern classification using neural networks.
• Appreciate current research trends in biomedical imaging.
Medical imaging, microscopy and related signal processing.
Autumn/Winter 2020: Online asynchronous lectures. No exam. Continuous assessment by means of group project with weekly meetings (face-to-face or online).
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Small Group | 12 |
Autonomous Student Learning | 84 |
Total | 120 |
Fourier analysis; MATLAB programming or equivalent.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Feedback individually to students, post-assessment
Students may request meetings to discuss their assignments after the submission deadline has passed.