My research is focused on magnetic resonance imaging, in particular on diffusion-weighted imaging and quantitative susceptibility mapping. We develop new pulse sequences, post processing schemes, but also focus on the underlying theory.
Research projects
Diffusion-weighted imaging and quantitative susceptibility mapping of the breast, liver, prostate, and brain
Development of new MRI pulse sequences
Development of new MRI post processing schemes
Joint evaluation of new MR methods with radiology
Current projects Current projects
Recent publications Recent publications
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
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My research is focused on magnetic resonance imaging, in particular on diffusion-weighted imaging and quantitative susceptibility mapping. We develop new pulse sequences, post processing schemes, but also focus on the underlying theory.
Research projects
Current projects
No projects found.
Recent publications
2022
2021
2020
Related Research Fields
Contact: