Medical Visualization - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
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module properties Medical Visualization
in degree program Master Informatik 2021
ATTENTION: not offered anymore |
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| module number | 201199 |
| examination number | 220498 |
| department | Department of Computer Science and Automation |
| ID of group | 2257 (Medizinische Informatik) |
| module leader | Prof. Dr. Sylvia Saalfeld |
| term | winter term only |
| language | Englisch |
| credit points | 5 |
| on-campus program (h) | 45 |
| self-study (h) | 105 |
| obligation | elective module |
| exam | examination performance with multiple performances |
| details of the certificate | Das Modul Medical Visualization mit der Prüfungsnummer 220498 schließt mit folgenden Leistungen ab:
Details zum Abschluss Teilleistung 2: 2/3 of the set seminar tasks must be solved and, if necessary, explained to the other participants upon request. |
| link to Moodle course | https://moodle.tu-ilmenau.de/enrol/index.php?id=864 |
| teacher | Prof. Saalfeld |
| signup details for alternative examinations | |
| maximum number of participants | |
| previous knowledge and experience | Fundamentals in Computer Graphics; Fundamentals Algorithms and Data Structures. |
| learning outcome | . The students are able to understand various visualization techniques and explain them using the example of 2D, 3D, and 4D medical data. As a result of the competencies acquired in the lecture after the second part the students are able to solve exercises and explain them to the other participants. . The students are capable of implementing visualization techniques, i.e., applying the techniques presented in the course to medical data. . The students are able to evaluate visualization techniques and thus assess which visualization technique is best suitable for which application scenario. . The students possess the necessary prerequisite knowledge to develop their own novel visualization techniques. |
| content | This lecture is centered on the visualization of medical volume data, including Computed Tomography, Magnetic Resonance Imaging, and Nuclear Medicine. It explores various techniques for medical visualization, such as surface and volume rendering, along with interactive methods for adjusting these visualizations using appropriate transfer functions. Advanced topics covered in this lecture include vessel visualization, virtual endoscopy (animated visualizations from viewpoints within the human body, simulating procedures like colonoscopy), and multimodal medical visualization. Furthermore, the lecture delves into subjects related to higher-dimensional data, particularly focusing on simulated and measured blood flow. While a strong interest in medical applications is crucial, prior medical knowledge is not mandatory. In preparation for the seminar, participants will be given task sheets to complete. During the seminar, the participants have to explain and discuss their solutions in turn with the other participants. |
| media of instruction and technical requirements for education and examination in case of online participation | Presentations, Handout, Moodle |
| literature / references | A list of references with scientific papers will be provided at the end of each lecture |
| evaluation of teaching | |