M.Sc. Benedikt Günther
- Phone
- –
- Room
- –
- benedikt.guenther@mytum.de
- Links
-
Page in TUMonline
- Group
- Biomedical Physics
- Additional Info
- Research Interests: - MuCLS machine development - High-resolution imaging and scattering techniques for the MuCLS and their application to biomedical physics and material science
Courses and Dates
| Title and Module Assignment | |||
|---|---|---|---|
| Art | SWS | Lecturer(s) | Dates |
|
Exercises to Modern X-Ray Physics eLearning course Assigned to modules: |
|||
| UE | 2 |
Günther, B.
Responsible/Coordination: Achterhold, K. |
|
Offered Bachelor’s or Master’s Theses Topics
- Dark-field X-ray microCT: Pre-clinical research on improved lung disease detection
Dark-field computed tomography uses the wave property of X-rays to provide complementary contrasts in X-ray imaging. In this project, an existing prototype for dark-field CT in mice will be used to explore the use of dark-field contrast in pre-clinical research for improved detection of lung diseases in collaboration with the Helmholtz Center for Health. In addition to experimental work to support the conduct of the preclinical studies, algorithmic research to reduce image noise and dose is planned.
Character of thesis work: experimental medical physics (60%) & image processing (40%).
For more information, please contact: Benedikt Guenther (benedikt.guenther@mytum.de), Simon Zandarco (simon.zandarco@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de).
- suitable as
- Master’s Thesis Biomedical Engineering and Medical Physics
- Supervisor: Franz Pfeiffer
- Dark-field X-ray microCT: Pre-clinical research on improved lung disease detection
Dark-field computed tomography uses the wave property of X-rays to provide complementary contrasts in X-ray imaging. In this project, an existing prototype for dark-field CT in mice will be used to explore the use of dark-field contrast in pre-clinical research for improved detection of lung diseases in collaboration with the Helmholtz Center for Health. In addition to experimental work to support the conduct of the preclinical studies, algorithmic research to reduce image noise and dose is planned.
Character of thesis work: experimental medical physics (60%) & image processing (40%).
For more information, please contact: Benedikt Guenther (benedikt.guenther@mytum.de), Simon Zandarco (simon.zandarco@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de).
- suitable as
- Master’s Thesis Applied and Engineering Physics
- Supervisor: Franz Pfeiffer