Course - Introduction to medical image processing and analysis - RAT3002
Introduction to medical image processing and analysis
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course covers methods and processes for image analysis and research design in medical imaging technology. Key topics include: various steps in image analysis, including the use of artificial intelligence, standards for quality assurance and reporting, as well as principles for designing research projects. The course also addresses acquisition and validation of new software for clinical use and the establishment of governance systems for safe implementation.
Learning outcome
A candidate that has completed the course should have the following learning outcomes:
Knowledge:
- Has a broad overview of key steps in image analysis and quality assurance, throughout the entire chain from data collection to preprocessing, analysis, and validation.
- Has good insight into standards and guidelines for quality assurance and reporting of imaging data and image analysis.
- Has knowledge of principles for designing research projects in medical imaging technology, including ethical and legal requirements.
- Understands processes for acquisition and validation of new software for clinical use, as well as the establishment of governance systems for safe implementation
Skills:
- Can assess possibilities and limitations in different types of image processing and analysis.
- Can apply knowledge to plan new research within image processing and analysis.
- Can evaluate regulatory and organizational requirements when introducing new image analysis software and actively contribute to planning and implementing it in clinical practice.
General competence:
- Masters the terminology and understands the functioning of methods for medical imaging and image analysis.
- Can communicate across disciplines about method selection, reproducibility, and implementation of image analysis in clinical and research practice.
- Can analyze issues and results in research involving medical imaging and image analysis.
Learning methods and activities
Campus-based and/or digital lectures and group work with electronic submissions or oral presentations. There will be gatherings (on campus and/or online) over up to eight days during the semester, and students will complete four mandatory assignments. The assignments will be student-active, with exercises using imaging data. All exercises will include a guide for completion. The assignments facilitate thematic integration of theory and practice. All learning resources will be available via an e-learning platform, e.g., articles, links, short videos (animations, lectures, etc.), solutions to tasks, and discussion forums with students and instructors.
Compulsory assignments
- Written assignment 1
- Written assignment 2
- Written assignment 3
- Written assignment 4
Further on evaluation
Students must submit four mandatory assignments that must be approved before they can take the exam. The assignments will primarily involve group work. Mandatory activities are generally valid for one calendar year, but the department may grant exceptions upon application and assessment.
Students must complete four mandatory assignments. These consist of practical exercises combined with scientific and methodological reflections. The assignments include, among other things, evaluation and discussion of research articles within relevant subject areas and tasks requiring the use of research methodological principles in planning and analysis. The assignments facilitate integration of theory, technology, and scientific thinking and aim to support students’ development of subject-specific and methodological competence. Assignments are submitted electronically or presented orally.
Specific conditions
Admission to a programme of study is required:
Medical Imaging Technologies (MMEDBT)
Course materials
Course material will be presented at the start of the course
Subject areas
- Medicine
- Radiography