LEARNING OUTCOMES
After this course you should be able to:
- Implement image smoothing and interpolation techniques
- Use spatial coordinate systems in medical images
- Perform landmark-based and intensity-based image registration
- Select the most appropriate similarity measure for specific image registration problems
- Implement rigid, affine and nonlinear spatial transformation models
- Solve segmentation problems using generative models
- Perform image segmentation using discriminative methods (neural nets)
- Weigh the advantages and limitations of generative vs. discriminative techniques in medical image analysis
Credits: 5
Schedule: 02.09.2024 - 28.11.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Koen Van Leemput
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The course aims to give an up-to-date overview of the core techniques used in medical image analysis: image interpolation and smoothing, coordinate systems, image segmentation, and image registration. The focus is enabling students to solve various image analysis problems in practice. Multiple examples of real-life medical image analysis problems will be solved by the students.
Assessment Methods and Criteria
valid for whole curriculum period:
- Exercise reports that are graded
Workload
valid for whole curriculum period:
- Lectures introducing the various concepts and methods
- Exercise sessions implementing the methods on real-world examples (Python)
- Guest lectures and/or excursions (from local industry and hospitals)
DETAILS
Study Material
valid for whole curriculum period:
A dedicated book "Medical Image Analysis" (author: K. Van Leemput) accompanies the lectures and exercises, and presents a self-contained overview and background of the material that will be addressed in the course.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I - II
2025-2026 Autumn I - II