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
2023
Cognolato, F., O'Brien, K., Jin, J., Robinson, S., Laun, F.B., Barth, M., & Bollmann, S. (2023). NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data . Medical Image Analysis , 84 . https://dx.doi.org/10.1016/j.media.2022.102700
2022
Führes, T., Saake, M., Lorenz, J., Seuß, H., Stemmer, A., Benkert, T.,... Laun, F.B. (2022). Reduction of the cardiac pulsation artifact and improvement of lesion conspicuity in flow-compensated diffusion images in the liver-A quantitative evaluation of postprocessing algorithms . Magnetic Resonance in Medicine . https://dx.doi.org/10.1002/mrm.29427
Glang, F., Fabian, M.S., German, A., Khakzar, K., Mennecke, A., Liebert, A.,... Laun, F.B. (2022). Linear projection-based CEST parameter estimation . NMR in Biomedicine . https://dx.doi.org/10.1002/nbm.4697
Grigo, J., Karius, A., Hanspach, J., Weissmann, T., Laun, F.B., Strnad, V.,... Bert, C. (2022). Possibilities of a Seed Control after the Implantation by using MRI and Deep Learning-based QSM Reconstruction . In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S54-S55). HEIDELBERG: SPRINGER HEIDELBERG.
Hammon, M., Saake, M., Laun, F.B., Heiß, R., Seuss, N., Janka, R.M.,... Seuß, H. (2022). Improved Visualization of Prostate Cancer Using Multichannel Computed Diffusion Images: Combining ADC and DWI . Diagnostics , 12 (7). https://dx.doi.org/10.3390/diagnostics12071592
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
Laun, F.B., Führes, T., Seuß, H., Müller, A., Bickelhaupt, S., Stemmer, A.,... Saake, M. (2022). Flow-compensated diffusion encoding in MRI for improved liver metastasis detection . PLoS ONE , 17 (5 5). https://dx.doi.org/10.1371/journal.pone.0268843
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
Pistel, M., Laun, F.B., Bickelhaupt, S., Dada, A., Weiland, E., Niederdränk, T.,... Ohlmeyer, S. (2022). Differentiating Benign and Malignant Breast Lesions in Diffusion Kurtosis MRI: Does the Averaging Procedure Matter? Journal of Magnetic Resonance Imaging . https://dx.doi.org/10.1002/jmri.28150
2021
Führes, T., Riexinger, A., Loh, M., Martin, J., Wetscherek, A., Kuder, T.A.,... Laun, F.B. (2021). Echo time dependence of biexponential and triexponential intravoxel incoherent motion parameters in the liver . Magnetic Resonance in Medicine . https://dx.doi.org/10.1002/mrm.28996
Heiß, R., Nagel, A.M., Laun, F.B., Uder, M., & Bickelhaupt, S. (2021). Low-Field Magnetic Resonance Imaging: A New Generation of Breakthrough Technology in Clinical Imaging . Investigative Radiology , 56 (11), 726-733. https://dx.doi.org/10.1097/RLI.0000000000000805
Jia, F., Littin, S., Amrein, P., Yu, H., Magill, A.W., Kuder, T.A.,... Zaitsev, M. (2021). Design of a high-performance non-linear gradient coil for diffusion weighted MRI of the breast . Journal of Magnetic Resonance , 331 . https://dx.doi.org/10.1016/j.jmr.2021.107052
Laun, F.B., Martin, J., Reymbaut, A., Schmidt, M., Dörfler, A., Topgaard, D., & Uder, M. (2021). Nonparametric D-R1-R2 distribution MRI of the living human brain .
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
Ohlmeyer, S., Laun, F.B., Bickelhaupt, S., Palm, T., Janka, R.M., Weiland, E.,... Wenkel, E. (2021). Ultra-High b-Value Diffusion-Weighted Imaging-Based Abbreviated Protocols for Breast Cancer Detection . Investigative Radiology , 56 (10), 629-636. https://dx.doi.org/10.1097/RLI.0000000000000784
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
Saake, M., Seuß, H., Riexinger, A., Bickelhaupt, S., Hammon, M., Uder, M., & Laun, F.B. (2021). Image Quality and Detection of Small Focal Liver Lesions in Diffusion-Weighted Imaging Comparison of Navigator Tracking and Free-Breathing Acquisition . Investigative Radiology , 56 (9), 579-590. https://dx.doi.org/10.1097/RLI.0000000000000776
Slator, P.J., Palombo, M., Miller, K.L., Westin, C.-F., Laun, F.B., Kim, D.,... Hutter, J. (2021). Combined diffusion-relaxometry microstructure imaging: Current status and future prospects . Magnetic Resonance in Medicine . https://dx.doi.org/10.1002/mrm.28963
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
Wiesmüller, M., Wüst, W., May, M., Ellmann, S., Heiß, R., Saake, M.,... Laun, F.B. (2021). Comparison of Readout-Segmented Echo-Planar Imaging and Single-Shot TSE DWI for Cholesteatoma Diagnostics . American Journal of Neuroradiology . https://dx.doi.org/10.3174/ajnr.A7112
2020
Dreher, C., Kuder, T.A., König, F., Paech, D., Tavakoli, A., Flothow, F.,... Laun, F.B. (2020). Advanced Diffusion-Weighted Abdominal Imaging: Qualitative and Quantitative Comparison of High and Ultra-High b-Values for Lesion Detection and Image Quality . Investigative Radiology , 55 (5), 285-292. https://dx.doi.org/10.1097/RLI.0000000000000639
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
Lambrecht, V., Hanspach, J., Hoffmann, A., Seyler, L., Mennecke, A., Straub, S.,... Laun, F.B. (2020). Quantitative susceptibility mapping depicts severe myelin deficit and iron deposition in a transgenic model of multiple system atrophy . Experimental Neurology , 329 . https://dx.doi.org/10.1016/j.expneurol.2020.113314
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
Rauh, S.S., Riexinger, A., Ohlmeyer, S., Hammon, M., Saake, M., Stemmer, A.,... Laun, F.B. (2020). A mixed waveform protocol for reduction of the cardiac motion artifact in black-blood diffusion-weighted imaging of the liver . Magnetic Resonance Imaging , 67 , 59-68. https://dx.doi.org/10.1016/j.mri.2019.12.011
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
Wetscherek, A., & Laun, F.B. (2020). Chapter 5: Separating Flow from Diffusion Using Velocity-compensated Diffusion Encoding . In Daniel Topgaard (Eds.), New Developments in NMR. (pp. 123-153). Royal Society of Chemistry.
Witulla, B., Goerig, N., Putz, F., Frey, B., Engelhorn, T., Dörfler, A.,... Laun, F.B. (2020). On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data . PLoS ONE , 15 (1), e0227146-. https://dx.doi.org/10.1371/journal.pone.0227146
Related Research Fields
Contact:
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
MRI based quantification of myelin for the early differential diagnosis of Multiple System Atrophy
(FAU Funds)
Recent publications
2023
2022
2021
2020
Related Research Fields
Contact: