The X-ray and Computed Tomography Focus Group is dedicated to advancing the field of lung imaging. With a wealth of expertise in these areas, the group focuses on improving the detection, precise diagnosis, and therapy follow-up of various lung diseases, including COPD, lung cancer, and infectious diseases. From a technical standpoint, the group's primary interest lies in exploring novel methods for medical X-Ray and Computed Tomography (CT) Imaging, with a special focus on photon counting CT technology, spectral CT applications, dark-field and phase contrast imaging, as well as the integration of machine learning techniques into clinical applications. By combining their medical and technical knowledge, the research group aims to drive innovation in the field of lung imaging, ultimately contributing to enhanced patient care and outcomes.
The group is led by Albrecht Struppler Clinician Scientist Fellow Prof. Daniela Pfeiffer, and also comprises collaboration partners Prof. Daniel Cremers (Computer Vision and Artificial Intelligence, TUM), Prof. Julia Herzen (Biomedical Imaging, TUM), and Prof. Franz Pfeiffer (Biomedical Physics, TUM), as well as doctoral student Johannes Thalhammer. It thus combines scientists from three different TUM schools: Medicine, Natural Sciences, and Computation, Information, and Technology.
Beck, Stefanie; Jahn, Laurenz; Deniffel, Dominik; Riederer, Isabelle; Sauter, Andreas; Makowski, Marcus R.; Pfeiffer, Daniela: Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values. Journal of Digital Imaging 35 (6), 2022, 1738-1747 mehr…
Beck, Stefanie; Jahn, Laurenz; Deniffel, Dominik; Riederer, Isabelle; Sauter, Andreas; Makowski, Marcus R.; Pfeiffer, Daniela: Iodine images in dual energy CT: A monocentric study benchmarking quantitative iodine concentration values of the healthy liver. PLOS ONE 17 (7), 2022, e0270805 mehr…
Frank, Manuela; Gassert, Florian T.; Urban, Theresa; Willer, Konstantin; Noichl, Wolfgang; Schick, Rafael; Schultheiss, Manuel; Viermetz, Manuel; Gleich, Bernhard; De Marco, Fabio; Herzen, Julia; Koehler, Thomas; Engel, Klaus Jürgen; Renger, Bernhard; Gassert, Felix G.; Sauter, Andreas; Fingerle, Alexander A.; Haller, Bernhard; Makowski, Marcus R.; Pfeiffer, Daniela; Pfeiffer, Franz: Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia. Communications Medicine 2 (1), 2022 mehr…
Gassert, Florian T.; Burkhardt, Rico; Gora, Thomas; Pfeiffer, Daniela; Fingerle, Alexander A.; Sauter, Andreas P.; Schilling, Daniela; Rummeny, Ernst J.; Schmid, Thomas E.; Combs, Stephanie E.; Wilkens, Jan J.; Pfeiffer, Franz: X-ray Dark-Field CT for Early Detection of Radiation-induced Lung Injury in a Murine Model. Radiology 303 (3), 2022, 696-698 mehr…
Gassert, Florian T.; Frank, Manuela; De Marco, Fabio; Willer, Konstantin; Urban, Theresa; Herzen, Julia; Fingerle, Alexander A.; Sauter, Andreas P.; Makowski, Marcus R.; Kriner, Fabian; Fischer, Florian; Braun, Christian; Pfeiffer, Franz; Pfeiffer, Daniela: Assessment of Inflation in a Human Cadaveric Lung with Dark-Field Chest Radiography. Radiology: Cardiothoracic Imaging 4 (6), 2022 mehr…
Hammel, Johannes; Birnbacher, Lorenz; Makowski, Marcus R.; Pfeiffer, Franz; Pfeiffer, Daniela: Absolute iodine concentration for dynamic perfusion imaging of the myocardium: improved detection of poststenotic ischaemic in a 3D-printed dynamic heart phantom. European Radiology Experimental 6 (1), 2022 mehr…
Lochschmidt, Maximilian E.; Gassenhuber, Melina; Riederer, Isabelle; Hammel, Johannes; Birnbacher, Lorenz; Busse, Madleen; Boeckh-Behrens, Tobias; Ikenberg, Benno; Wunderlich, Silke; Liesche-Starnecker, Friederike; Schlegel, Jürgen; Makowski, Marcus R.; Zimmer, Claus; Pfeiffer, Franz; Pfeiffer, Daniela: Five material tissue decomposition by dual energy computed tomography. Scientific Reports 12 (1), 2022 mehr…
Urban, Theresa; Gassert, Florian T.; Frank, Manuela; Willer, Konstantin; Noichl, Wolfgang; Buchberger, Philipp; Schick, Rafael C.; Koehler, Thomas; Bodden, Jannis H.; Fingerle, Alexander A.; Sauter, Andreas P.; Makowski, Marcus R.; Pfeiffer, Franz; Pfeiffer, Daniela: Qualitative and Quantitative Assessment of Emphysema Using Dark-Field Chest Radiography. Radiology 303 (1), 2022, 119-127 mehr…
Zimmermann, Gregor S.; Fingerle, Alexander A.; Renger, Bernhard; Laugwitz, Karl-Ludwig; Hautmann, Hubert; Sauter, Andreas; Meurer, Felix; Gassert, Florian Tilman; Bodden, Jannis; Müller-Leisse, Christina; Renz, Martin; Rummeny, Ernst J.; Makowski, Marcus R.; Willer, Konstantin; Noichl, Wolfgang; De Marco, Fabio; Frank, Manuela; Urban, Theresa; Schick, Rafael C.; Herzen, Julia; Koehler, Thomas; Haller, Bernhard; Pfeiffer, Daniela; Pfeiffer, Franz: Dark-field chest x-ray imaging: first experience in patients with alpha1-antitrypsin deficiency. European Radiology Experimental 6 (1), 2022 mehr…
2021
Schick, Rafael C.; Koehler, Thomas; Noichl, Wolfgang; De Marco, Fabio; Willer, Konstantin; Urban, Theresa; Frank, Manuela; Pralow, Thomas; Maack, Ingo; Prevrhal, Sven; Lundt, Bernd; Fingerle, Alexander; Pfeiffer, Daniela; Herzen, Julia; Pfeiffer, Franz: Correction of Motion Artifacts in Dark-Field Radiography of the Human Chest. IEEE Transactions on Medical Imaging, 2021, 1-1 mehr…
Scholz, Josef; Roiser, Nathalie; Braig, Eva-Maria; Petrich, Christian; Birnbacher, Lorenz; Andrejewski, Jana; Kimm, Melanie A.; Sauter, Andreas; Busse, Madleen; Korbel, Rüdiger; Herzen, Julia; Pfeiffer, Daniela: X-ray dark-field radiography for in situ gout diagnosis by means of an ex vivo animal study. Scientific Reports 11 (1), 2021 mehr…
Willer, Konstantin; Fingerle, Alexander A; Noichl, Wolfgang; De Marco, Fabio; Frank, Manuela; Urban, Theresa; Schick, Rafael; Gustschin, Alex; Gleich, Bernhard; Herzen, Julia; Koehler, Thomas; Yaroshenko, Andre; Pralow, Thomas; Zimmermann, Gregor S; Renger, Bernhard; Sauter, Andreas P; Pfeiffer, Daniela; Makowski, Marcus R; Rummeny, Ernst J; Grenier, Philippe A; Pfeiffer, Franz: X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study. The Lancet Digital Health 3 (11), 2021, e733-e744 mehr…
