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Prof. Dr. Franz Pfeiffer

Photo von Prof. Dr. Franz Pfeiffer.
Phone
+49 89 289-12551
Room
PH: 2093
E-Mail
franz.pfeiffer@tum.de
Links
Homepage
Page in TUMonline
Groups
Biomedical Physics
Institute of Radiology
Job Titles

Courses and Dates

Title and Module Assignment
ArtSWSLecturer(s)Dates
Biomedical Physics 1
eLearning course
Assigned to modules:
VO 2 Pfeiffer, F.
Assisstants: Schaff, F.
Thu, 12:00–14:00, virtuell
Biomedical Physics 2
eLearning course
Assigned to modules:
VO 2 Pfeiffer, F. Wilkens, J.
Assisstants: Schaff, F.
Thu, 14:00–16:00, virtuell
Chemistry in Biomedical Imaging for Physicists
eLearning course
Assigned to modules:
VO 2 Pfeiffer, F.
Assisstants: Busse, M.
singular or moved dates
Block Seminar on Current Research Topics in Biomedical Physics (E17 Seminar Week)
Assigned to modules:
HS 2 Herzen, J. Pfeiffer, F.
Modern X-Ray Physics
eLearning course
Assigned to modules:
HS 2 Pfeiffer, F.
Assisstants: Achterhold, K.Dierolf, M.
Fri, 13:00–15:00, virtuell
Seminar on Current Topics in BioEngineering (MSB Seminar)
Assigned to modules:
HS 2 Pfeiffer, F.
Assisstants: Piwnicki, P.
Tue, 13:00–14:00, virtuell
Current Research Topics in Biomedical Imaging (E17 Seminar)
Assigned to modules:
SE 2 Herzen, J. Pfeiffer, F. Thu, 11:00–12:30, virtuell
FOPRA Experiment 79: X-Ray Computed Tomography
current information
Assigned to modules:
PR 1 Pfeiffer, F.
Assisstants: Birnbacher, L.Hammel, J.Noichl, W.Viermetz, M.
Revision Course to Block Seminar on Current Research Topics in Biomedical Physics (E17 Seminar Week)
Assigned to modules:
RE 2
Responsible/Coordination: Pfeiffer, F.
Revision Course to Modern X-Ray Physics
Assigned to modules:
RE 2
Responsible/Coordination: Pfeiffer, F.
Revision Course to Seminar on Current Topics in BioEngineering (MSB Seminar)
Assigned to modules:
RE 2
Responsible/Coordination: Pfeiffer, F.
Seminar of GRK2274
Assigned to modules:
SE 1 Pfeiffer, F.

Offered Bachelor’s or Master’s Theses Topics

Advanced image processing for clinical darkfield chest X-ray applications
suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
Advanced processing algorithms for X-ray dark-field CT reconstruction
suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
AI/machine learning algorithms for the automated detection of respiratory diseases in chest CT scans

This project will focus on using AI/machine learning algorithms (i.e. deep convolutional neural networks) for the automated detection of respiratory diseases (e.g. COPD, COVID-19) in chest CT scans. The project will be carried out in close collaboration with the Department of Radiology at the TUM Klinikum Rechts der Isar and an external industrial collaborator.

Character of thesis work: mainly computational physics & image processing

For more information, please contact: Manuel Schultheiß (manuel.schultheiss@tum.de), Tobias Lasser (tobias.lasser@tum.de), or Franz Pfeiffer (franz.pfeiffer@tum.de).

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
Evaluation of spectral photon-counting detectors for improvements in 2D (panoramic) dental imaging applications

This project will explore the use of latest hybrid-pixel photon-counting detectors for improving the image quality in 2D (panoramic) dental imaging applications. More specifically, the project aims at developing advanced dual-energy/ spectral artefact reduction algorithms and their experimental demonstration of their applicability in preclinical experiments. The project will be carried out in close collaboration with an industrial collaboration partner in the Munich area.

Character of thesis work: experimental physics (50%) & image processing (50%)

For more information, please contact: Thorsten Sellerer (thorsten.sellerer@tum.de), Franz Pfeiffer (franz.pfeiffer@tum.de)

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
Evaluation of spectral photon-counting detectors for improvements in 3D (cone-beam CT) dental imaging applications

This project will explore the use of latest hybrid-pixel photon-counting detectors for improving the image quality in 3D (cone-beam CT) dental imaging applications. More specifically, the project aims at developing advanced dual-energy/ spectral artefact reduction algorithms and their experimental demonstration of their applicability in preclinical experiments. The project will be carried out in close collaboration with an industrial collaboration partner in the Munich area.

Character of thesis work: experimental physics (50%) & image processing (50%)

For more information, please contact: Thorsten Sellerer (thorsten.sellerer@tum.de), Franz Pfeiffer (franz.pfeiffer@tum.de)

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
Machine Learning (AI)-based denoising of limited angle, sparse sampling CT post-processing for head and chest CT applications

This project will focus on the potential usage of AI-based CT denoising methods (i.e. convolutional neural networks) for post-processing of CT scans aquired with a reduced number of projections in head or chest CT applications. The project will be carried out in close collaboration with the Department of Radiology at the TUM Klinikum Rechts der Isar and an external industrial collaborator.

Character of thesis work: mainly computational physics & image processing

For more information, please contact: Manuel Schultheiss (manuel.schultheiss@tum.de), Tobias Lasser (tobias.lasser@tum.de), or Franz Pfeiffer (franz.pfeiffer@tum.de).

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
Pre-clinical evaluation of spectral photon-counting detectors for chest X-ray cancer and tuberculosis screening

This project will explore the use of latest hybrid-pixel photon-counting detectors for improving the diagnostic accuracy of chest X-ray examinations. More specifically, this work will use dedicated phantoms for assessing the potential clinical benefit of photon-counting-based material decomposition algorithms for better lung cancer and tuberculosis detection. The project will be carried out in close collaboration with the Department of Radiology at the TUM Klinikum Rechts der Isar.

Character of thesis work: experimental physics (50%) & image processing (50%)

For more information, please contact: Thorsten Sellerer (thorsten.sellerer@tum.de), Franz Pfeiffer (franz.pfeiffer@tum.de)

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
Quantitative X-ray dark-field imaging

This project will focus on methods to extract quantitative structural parameters from grating-based X-ray dark-field imaging that enable hardware independent studies in medical and material science applications.

The project will mainly involve experimental (laboratory) work, and image processing (primarily in Python).

Character of thesis work: experimental physics (50%) & image processing (50%)

For more information, please contact: Florian Schaff (florian.schaff@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de)

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
X-ray diffraction imaging at a compact synchrotron source

This project will focus on investigating the potential X-ray diffraction imaging at a compact synchrotron source. The student will design, conduct and evaluate experiments at the world's first X-ray source of its kind, the Munich Compact Light Source. 

The project will mainly involve experimental (laboratory) work, and image processing (primarily in Python).

Character of thesis work: experimental physics (50%) & image processing (50%)

For more information, please contact: Florian Schaff (florian.schaff@tum.de) or Franz Pfeiffer (franz.pfeiffer@tum.de)

suitable as
  • Master’s Thesis Condensed Matter Physics
  • Master’s Thesis Nuclear, Particle, and Astrophysics
  • Master’s Thesis Biophysics
  • Master’s Thesis Applied and Engineering Physics
  • Master’s Thesis Biomedical Engineering and Medical Physics
Supervisor: Franz Pfeiffer
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