Prof. Franz Pfeiffer
Prof. Dr.
Franz
Pfeiffer
Technical University of Munich
Chair of Biomedical Physics (Prof. Pfeiffer)
Postal address
James-Franck-Str. 1
85748 Garching b. München
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.
Medical Physics
Abstract: Background: Dark-field radiography is a novel x-ray imaging modality that provides complementary diagnostic information by visualising microstructural properties of lung tissue. Implemented via a…
Holzforschung
Abstract: This study investigates the fatigue behavior of European ash (Fraxinus excelsior) with density range of 580-620 kg/m3 under relatively short-period cyclic compressive loading. The aim is to understand…
Zeitschrift fur Medizinische Physik
Abstract: Background: X-ray dark-field radiography uses small-angle scattering to visualize the structural integrity of lung alveoli. To study the influence of dose reduction on clinical dark-field radiographs,…
Medical Physics
Abstract: Background: The microstructure of material at a (Formula presented.) length scale leads to ultra-small-angle scattering of X-rays, which typically occurs, e.g., for lung tissue or some plastic foams.…
European Journal of Radiology
Abstract: Background: Clinical X-ray dark-field radiography has shown to be promising for visualizing different lung pathologies. To keep the radiation dose as low as reasonably achievable (ALARA principle),…
European Radiology Experimental
Abstract: Background: Accurate lung volume determination is crucial for reliable dark-field imaging. We compared different approaches for the determination of lung volume in mean dark-field coefficient…
Journal of Imaging Informatics in Medicine
Abstract: This retrospective study evaluates U-Net-based artifact reduction for dose-reduced sparse-sampling CT (SpSCT) in terms of image quality and diagnostic performance using a reader study and automated…
Radiology: Artificial Intelligence
Abstract: Purpose: To estimate the total lung volume (TLV) from real and synthetic frontal chest radiographs on a pixel level using lung thickness maps generated by a U-Net deep learning model. Materials and…
BMC Musculoskeletal Disorders
Abstract: Purpose: This study investigated the association of measurements from a clinical X-ray dark-field prototype system and CT-based finite element analysis (FEA) in lumbar spine specimens. Materials and…
Zeitschrift fur Medizinische Physik
Abstract: X-ray diffraction (XRD) is an important material analysis technique with a widespread use of laboratory systems. These systems typically operate at low X-ray energies (from 5 keV to 22 keV) since they…
Winter term 2025/26
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