Dr. Christian Hofmann

Siemens Healthineers

As the Technology & Innovation Officer at Siemens Healthineers Computed Tomography I oversee & steer the innovation process and the related innovation activities. This ranges from customer impact functionalities to new technological concepts and software and process innovations. My own research in the past focused on Computed Tomography imaging technologies for radiation therapy and shifted towards new CT scanner concepts towards 4th generation Computed Tomography.

No current projects.

Peer-reviewed

  • Wimmert, L., Gauer, T., Dickmann, J., Hofmann, C., Sentker, T., Werner, R. (2026). Dose Reduction in 4-Dimensional Computed Tomography Imaging: Breathing Signal-Guided Deep Learning-Driven Data Acquisition. International Journal of Radiation Oncology • Biology • Physics.
  • Schwarz, A., Hofmann, C., Dickmann, J., Simon, A., Maier, A., Wacker, F. K., Raatschen, H.-J., Gleitz, S., Schmidbauer, M. (2025). Free-Breathing Respiratory Triggered High-Pitch Lung CT: Insights From Phantom and Patient Scans. Investigative Radiology.
  • Lackner, N., Moser, T., Young, J., Dickmann, J., That, V., Hofmann, C., Karius, A., Ahmad, M., Putz, F., Fietkau, R., Bert, C., Szkitsak, J. (2025). Surface-guided breathing signal integration in breathing-adapted intelligent 4D computed tomography: prototype implementation and comparison with an infrared marker-based system. Physics and Imaging in Radiation Oncology (phiRO).
  • Wimmert, L., Schwarz, A., Gauer, T., Hofmann, C., Dickmann, J., Sentker, T., Werner, R. (2024). Impact of breathing signal-guided dose modulation on step-and-shoot 4D CT image reconstruction. Medical Physics.
  • Wimmert, L., Nielsen, M., Madesta, F., Gauer, T., Hofmann, C., Werner, R. (2024). Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRT. Medical Physics.
  • Szkitsak, J., Karius, A., Fietkau, R., Bert, C., Hofmann, C. (2024). Optimized raw data selection for artifact reduction of i4DCT sequence scanning. Physics and Imaging in Radiation Oncology (phiRO).
  • Jung, J.-Y., Choi, M. H., Peng, Z., Grosskopf, S., Suehling, M., Hofmann, C., Pak, S. (2024). Development and validation of a deep learning-based algorithm for detecting and classifying metallic implants in abdominal and spinal CT topograms. Diagnostics.

Conference contributions and non-peer reviewed journals

  • Heinkele, A., Erath, J., Hennemann, L., Maier, J., Fournié, E., Sunnegaardh, J., Hofmann, C., Petersilka, M., Stierstorfer, K., Kachelrieß, M. Deep scatter estimation for static CT using multiple projections.
  • Schwarz, A., Dickmann, J., Hofmann, C., Szkitsak, J., Bert, C., Maier, A., Arias-Vergara, T. Cross-modality image quality prediction for time-resolved CT from breathing signals. MICCAI.
  • Dual-energy computed tomography for proton treatment planning: Improving the range uncertainty and DVH accuracy. PTCOG.
  • Hytönen, R., Niemelä, P., Hofmann, C., Reinig, G., Koponen, T. K.
  • Werner, R., Sentker, T., Madesta, F., Gauer, T., Hofmann, C. (2019). Intelligent 4D CT sequence scanning (i4DCT): First prototype measurements. ESTRO.
  • Fonseca, P., Rinaldi, I., Almeida, I., van der Heyden, B., van Elmpt, W., Bosmans, G., Verhaegen, F. Stopping-power calculation based on dual-energy CT. PTCOG.
  • Hamill, J. CT data-driven gating for respiratory motion compensation in PET/CT. IEEE (acknowledgement).
  • Particle therapy: Assessing clinical benefit of direct stopping-power prediction from dual-energy CT. ESTRO (2019).
  • 4D-CT Artefakte beeinflussen die lokale Kontrolle einer SBRT von Lungen- und Lebermetastasen. DEGRO Jahrestagung.

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