Computer Assisted Surgery and Therapy
MPHY0026 at University College London (UCL).
Authors: Matt Clarkson, Steve Thompson, Ester Bonmati, Ann Blandford, Tom Dowrick, Yipeng Hu.
Contribute To This Course
We’d love you to contribute! Please check out the source code, and send pull requests.
Source code that generates this set of notes.
Contributors: Ziv Yaniv … (add your name here?).
Course Details
For those of you taking this course for university credit at UCL, these are the essential details:
All formal announcements come via UCL’s Moodle.
Assessment:
1 piece of coursework, worth 100%.
Sessions:
Term 2, Thursdays, 10:00-13:00, not including reading week.
Post-COVID, we are back to Face-to-Face lectures!!
How This Course Is Run
Reading: which must be completed before each session.
Lectures: lectures and in-class discussion groups.
Practical Exercises: exercises during and between sessions.
Formative Assessment: (not part of final mark) on Moodle for those at UCL.
Summative Assessment: (counts towards final mark) on Moodle for those at UCL.
If you find problems with either the notes, or the code, raise Issues in the Gitlab Issue Tracker. Your help and feedback will make this a better course. Thank you.
Course Principles
Research led: Closely linked to academic literature, and research at UCL and world-wide.
A systems approach: A researcher may only work on one component, but to achieve the clinical goal, we must understand the total system performance.
Learn by doing: Code examples, often using the SciKit-Surgery libraries, referenced in The SciKit-Surgery Paper, and described in this IPCAI 2020 presentation.
Contents
- 1. Background
- 2. Imaging
- 3. Segmentation
- 4. Tracking
- 5. Calibration
- 6. Registration
- 7. Graphics
- 8. Augmented Reality
- 9. Visualisation And Multi-Modal Interaction
- 10. Human Computer Interaction (HCI)
- 11. Simulation
- 12. References
- 13. Additional Resources
- 14. Python Setup
- 15. Jupyter Notebooks
- 16. Workshops
- 17. Coursework 1 (2023)