Instructor: Kumar Punithakumar
Email: punithak@ualberta.ca
Tel: (780) 407-1871
Office: RTF 4-103A
Office hours: By appointment only
Lectures: Tuesdays and Thursdays, 10:30 AM - 11:50 AM at ED B 76
Course Description:
The course aims to cover medical image processing and analysis techniques, including de-noising, registration, segmentation, 3D reconstruction, applicable in diagnostic imaging modalities such as ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). Clinical examples in cardiovascular, musculoskeletal and brain imaging will be discussed.
Prerequisites:
Linear algebra and knowledge in MATLAB programming or consent of the department.
| Lecture date | Topic | Slide | Extras |
|---|---|---|---|
| W1: Sep 3 | Introduction to medical imaging | L01 | |
| W1: Sep 5 | The basics of medical imaging | L02 | |
| W2: Sep 10 | Common Imaging Modalities | L03 | |
| W2: Sep 12 | Image storage and transfer | L04 | |
| W3: Sep 17 | Introduction to image enhancement | L05 | |
| W3: Sep 19 | Resolution and edge enhancement | L06 | |
| W4: Sep 24 | Noise reduction | L07 | |
| W4: Sep 26 | Feature extraction | L08 | Assignment 1 |
| W5: Oct 1 | Introduction to image segmentation | L09 | |
| W5: Oct 3 | Segmentation in feature space | L10 | |
| W6: Oct 8 | Active contours | L11 | |
| W6: Oct 10 | Graph cuts | L12 | |
| W7: Oct 15 | Evaluation Frameworks for Image Segmentation | L13 | Assignment 2 |
| W7: Oct 17 | Introduction to image registration | L14 | |
| W8: Oct 22 | Cardiac imaging Guest lecture by Dr. Michelle Noga |
||
| W8: Oct 24 | Nonrigid image registration methods | L15 | |
| W9: Oct 29 | Introduction to Machine Learning | L16 | Assignment 3 |
| W9: Oct 31 | Convolutional Neural Networks | L17 | |
| W10: Nov 5 | Autoencoders and RNNs | L18 | |
| W10: Nov 7 | Course project proposal presentations | ||
| W11: Nov 12 to Nov 15 | Reading week | ||
| W12: Nov 19 | No class | Assignment 4 | |
| W12: Nov 21 | Machine Learning in Medical Image Analysis Applications | ||
| W13: Nov 26 | Musculoskeletal imaging Guest lecture by Dr. Jacob Jaremko |
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| W13: Nov 28 | Neuroimaging Guest lecture by Dr. Ravi Bhargava |
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| W14: Dec 3 | No class | ||
| W15: Dec 5 | Final course project presentations |
Course Grade:
Assignments: 50% (Assignment 1 - 4)
Final project: 50%
Reading list
The following books are recommended for additionally support the course, but they are not essential.