Prof. Dr. Frederik Laun

2022

• Hanspach, J., Bollmann, S., Grigo, J., Karius, A., Uder, M., & Laun, F.B. (2022). Deep learning–based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.29265
• Kapsner, L., Ohlmeyer, S., Folle, L., Laun, F.B., Nagel, A.M., Liebert, A.,... Bickelhaupt, S. (2022). Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast. European Radiology. https://dx.doi.org/10.1007/s00330-022-08626-5
• Ludwig, D., Laun, F.B., Klika, K.D., Rauch, J., Ladd, M.E., Bachert, P., & Kuder, T.A. (2022). Diffusion pore imaging in the presence of extraporal water. Journal of Magnetic Resonance, 339. https://dx.doi.org/10.1016/j.jmr.2022.107219
• Mennecke, A., Khakzar, K.M., German, A., Herz, K., Fabian, M., Liebert, A.,... Zaiß, M. (2022). 7 tricks for 7 T CEST: Improving the reproducibility of multipool evaluation provides insights into the effects of age and the early stages of Parkinson's disease. NMR in Biomedicine. https://dx.doi.org/10.1002/nbm.4717

2021

• Ludwig, D., Laun, F.B., Ladd, M.E., Bachert, P., & Kuder, T.A. (2021). Apparent exchange rate imaging: On its applicability and the connection to the real exchange rate. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28714
• Mayer, P., Fritz, F., Koell, M., Skornitzke, S., Bergmann, F., Gaida, M.M.,... Stiller, W. (2021). Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth. Cancer Imaging, 21(1). https://dx.doi.org/10.1186/s40644-021-00382-x
• Riexinger, A., Laun, F.B., Hoeger, S.A., Wiesmüller, M., Uder, M., Hensel, B.,... Heiß, R. (2021). Effect of compression garments on muscle perfusion in delayed-onset muscle soreness: A quantitative analysis using intravoxel incoherent motion MR perfusion imaging. NMR in Biomedicine. https://dx.doi.org/10.1002/nbm.4487
• Voelker, M.N., Kraff, O., Goerke, S., Laun, F.B., Hanspach, J., Pine, K.J.,... Quick, H.H. (2021). The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla. NeuroImage, 232. https://dx.doi.org/10.1016/j.neuroimage.2021.117910

2020

• Hanspach, J., Nagel, A.M., Hensel, B., Uder, M., Koros, L., & Laun, F.B. (2020). Sample size estimation: Current practice and considerations for original investigations in MRI technical development studies. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28550
• Mlynarska-Bujny, A., Bickelhaupt, S., Laun, F.B., König, F., Lederer, W., Daniel, H.,... Kuder, T.A. (2020). Influence of residual fat signal on diffusion kurtosis MRI of suspicious mammography findings. Scientific Reports, 10(1). https://dx.doi.org/10.1038/s41598-020-70154-3
• Riexinger, A., Laun, F.B., Bickelhaupt, S., Seuß, H., Uder, M., Hensel, B., & Saake, M. (2020). On the dependence of the cardiac motion artifact on the breathing cycle in liver diffusion-weighted imaging. PLoS ONE, 15(10 October). https://dx.doi.org/10.1371/journal.pone.0239743
• Riexinger, A., Martin, J., Wetscherek, A., Kuder, T.A., Uder, M., Hensel, B., & Laun, F.B. (2020). An optimized b-value distribution for triexponential intravoxel incoherent motion (IVIM) in the liver. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28582