Computational Physiology for Medical Image Computing

What it is about

You learn how computational models are used to derive physiological and diagnostic information from clinical image data. By the end you can deploy and evaluate models that, for example, extract blood flow, metabolism, tissue microstructure, or disease progression from modalities such as MRI, CT, or PET.

What you will be able to do

• Apply computational models to extract diagnostic information from clinical image data
• Understand the physiological concepts behind the algorithms
• Assess the advantages and disadvantages of different modeling strategies
• Analyze clinical imaging protocols with respect to the underlying physiological information
• Develop diagnostic procedures that combine anatomical and physiological information from different modalities

What the module consists of

• weekly lectureConveying the concepts, models and case examples
• project work in small teamsApplication and implementation of the presented methods on clinical datasets
• discussion of the project worksReflection and comparison of the results with the methods from the lecture
• final presentation (written and oral)Presentation and discussion of the project results

Teaching method

• LectureIntroduction to models, concepts and use cases
• Project work and team discussionPractical application, implementation and critical engagement with methods
• Final presentationCommunication and defense of one's own results