Computational Physiology for Medical Image Computing
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
IN2319 is a semester module in English language at Master’s level which is offered irregular.
This Module is included in the following catalogues within the study programs in physics.
- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses
Content, Learning Outcome and Preconditions
2) Organ models: Computational models describing anatomy and function at the organ level as well as its variation across the population (e.g., 3D and 4D population atlases describing structure and shape)
3) Disease and diagnostics: Computational models describing pathophysiological processes and the progression of diseases (functional models from biophysics and theoretical biology, empirical models for clinical decisions)
4) Use cases, for example, from cardiac imaging, tumor analysis, and neuro-degenerative diseases
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|Computational Physiology for Medical Image Computing (IN2319)
Assistants: Kowarschik, M.Shi, K.
Thu, 09:00–12:00, MIBE E.126
Learning and Teaching Methods
Description of exams and course work
Each team will document their project work and the contributions of the different team members. They will present their results at the end of the course in an oral presentation with subsequent discussion. They will be evaluated by their model implementation, their model analysis, and their presentation. Moreover, they will be evaluated based on their participation in the discussion of the projects of other participants.
The exam may be repeated at the end of the semester.