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Biomedical Physics

Prof. Franz Pfeiffer

Research Field

Our interdisciplinary research portfolio is focused on the translation of modern x-ray physics concepts to biomedical sciences and clinical applications. We are particularly interested in advancing conceptually new approaches for biomedical x-ray imaging and therapy, and work on new kinds of x-ray sources, contrast modalities, and images processing algorithms. Our activities range from fundamental research using state-of-the-art, large-scale x-ray synchrotron and laser facilities to applied research and technology transfer projects aiming at the creation of improved biomedical device technology for clinical use. From a medical perspective, our work currently targets early cancer and osteoporosis diagnostics.

Address/Contact

James-Franck-Str. 1
85748 Garching b. München
+49 89 289 12552
Fax: +49 89 289 12548

Members of the Research Group

Professors

Office

Scientists

Students

Other Staff

Teaching

Course with Participations of Group Members

Titel und Modulzuordnung
ArtSWSDozent(en)Termine
Master's Seminar (BEMP)
Zuordnung zu Modulen:
SE 10
Leitung/Koordination: Herzen, J.
Master's Work Experience (BEMP)
Zuordnung zu Modulen:
FO 10
Leitung/Koordination: Herzen, J.

Offers for Theses in the Group

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 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
Image processing for darkfield chest X-ray imaging of COVID-19
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

Current and Finished Theses in the Group

AI/machine learning algorithms for the automated detection of respiratory diseases in chest CT scans
Abschlussarbeit im Masterstudiengang Biomedical Engineering and Medical Physics
Themensteller(in): Franz Pfeiffer
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