Medical Image Analysis Lab
Welcome to the Medical Image Analysis (MIA) Laboratory at the University of Bern, ARTORG Center for Biomedical Engineering Research.
Course Overview
During the MIA Lab, you will work on the task of brain tissue segmentation from magnetic resonance (MR) images. You will implement and investigate a complete image analysis pipeline, including:
- Pre-processing: Image normalization and intensity correction
- Registration: Aligning images to a common reference space
- Feature extraction: Computing informative features from images
- Voxel-wise tissue classification: Machine learning for tissue segmentation
- Post-processing: Refinement of segmentation results
- Evaluation: Quantitative assessment of performance
Throughout the laboratory, you will learn and use various libraries and software tools essential in the medical image analysis domain, while working on a real-world biomedical engineering challenge.
Schedule
The course runs from September 2025 to January 2026 with lectures and lab sessions on Wednesdays.
Instructors
Learning Objectives
By the end of this course, you will be able to:
- Understand the fundamental concepts and challenges in medical image analysis
- Implement a complete image processing and analysis pipeline
- Apply machine learning techniques to medical imaging problems
- Evaluate and compare different approaches quantitatively
- Work with standard medical imaging file formats and tools
- Document and present your work in a scientific format
Assessment
The course is assessed through:
- Homework exercises (3 exercises): Practice with image basics, pipeline implementation, and random forests
- Mid-term presentation (20%): Present your project progress and methodology
- Final presentation (30%): Present your complete project with results
- Final report (50%): Conference paper formatted report
Resources
- Course materials: GitBook documentation
- Code repository: Available through the course
- Contact: Reach out to the instructors via email or during office hours
Course Philosophy
This course features a front-loaded teaching structure where the fundamental concepts and techniques are taught in the first weeks, followed by an extended project period where you apply these concepts to solve a real medical imaging challenge. You'll work in groups and receive regular feedback from instructors.
This course is part of the Masters program in Biomedical Engineering at the University of Bern.