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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|
|Autonomous Student Learning||
Fourier analysis; MATLAB programming or equivalent.
|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.
|Lecture||Offering 1||Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12||Mon 09:00 - 09:50|
|Tutorial||Offering 1||Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12||Mon 15:00 - 15:50|
|Lecture||Offering 1||Week(s) - Autumn: All Weeks||Wed 09:00 - 09:50|