Mirco Grosser, M.Sc.

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 210
22529 Hamburg
- Postanschrift -

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

Tel.: 040/ 7410 25811
E-Mail: mi.grosser(at)uke.de
E-Mail: mirco.grosser(at)tuhh.de
ORCID: https://orcid.org/0000-0001-8005-8859

Research Interests

  • Magnetic Resonance Imaging
  • Image Reconstruction

Curriculum Vitae

Mirco Grosser is a PhD student in the group of Tobias Knopp for experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology. From 2010 to 2016 he studied physics at the University of Hamburg. In 2016 he obtained his master's degree with a thesis on "Attosecond x-ray scattering from a particle-hole wave packet".

Publications

Publications

  • K. Scheffler, M. Grosser, M. Boberg, and T. Knopp (2023). Sparsifying system matrices by combined usage of compressed sensing and extrapolation. 12th International Workshop on Magnetic Particle Imaging (IWMPI 2023). 1-1 [Abstract] [www]

  • T. Knopp, H. Albers, M. Grosser, M. Möddel, and T. Kluth (2023). Exploiting the Fourier Neural Operator for faster magnetization model evaluations based on the Fokker-Planck equation. International Journal on Magnetic Particle Imaging. 9. (1), 1-4 [Abstract] [doi] [www]

  • T. Knopp, M. Boberg, and M. Grosser (2023). NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform. SIAM Journal on Scientific Computing. 45. (3), C179-C205 [Abstract] [doi] [www]

  • T. Knopp, P. Jürß, and M. Grosser (2023). A Deep Learning Approach for Automatic Image Reconstruction in MPI. International Journal on Magnetic Particle Imaging. 9. (1), 1-4 [Abstract] [doi] [www]

  • I. Molwitz, G. M. Campbell, J. Yamamura, T. Knopp, K. Toedter, R. Fischer, Z. J. Wang, A. Busch, A.-K. Ozga, S. Zhang, T. Lindner, F. Sevecke, M. Grosser, G. Adam, and P. Szwargulski (2022). Fat Quantification in Dual-Layer Detector Spectral Computed Tomography: Experimental Development and First In-Patient Validation. Investigative Radiology. 57. (7), 463-469 [Abstract] [doi] [www] [pmid]

  • L. Nawwas, M. Grosser, M. Möddel, T. Knopp (2022). Accelerated Kaczmarz for Convergence Speed-up in Multi-Contrast Magnetic Particle Imaging. International Journal on Magnetic Particle Imaging. 8. (1), 1-4 [Abstract] [doi] [www]

  • T. Knopp and M. Grosser (2022). Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography. [www]

  • I. M. Baltruschat, P. Szwargulski, F. Griese, M. Grosser, R. Werner, and T. Knopp (2021). Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning. Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing. 337-337

  • M. Grosser and T. Knopp (2021). Fast Image Reconstruction for Non-Cartesian Acquisitions in the Presence of B0-inhomogeneities. Proc. ISMRM 2021.

  • M. Grosser and T. Knopp (2021). Optimized sampling patterns for the sparse recovery of system matrices in Magnetic Particle Imaging. International Journal on Magnetic Particle Imaging. 7. (2), 1-15 [Abstract] [doi] [www]

  • M. Grosser, T. Knopp (2021). Efficient Optimization Of MRI Sampling Patterns Using The Bayesian Fisher Information Matrix. IEEE 18th International Symposium on Biomedical Imaging (ISBI). 234-237

  • T. Knopp and M. Grosser (2021). MRIReco.jl: An MRI Reconstruction Framework written in Julia. Magn. Reson. Med.. 86. (3), 1633-1646 [doi] [www]

  • T. Knopp, M. Grosser, M. Graeser, T. Gerkmann, and M. Möddel (2021). Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging using a Dictionary Approach. IEEE Transactions on Medical Imaging. accepted [www]

  • T. Knopp, M. Grosser, M. Graeser, T. Gerkmann, M. Möddel (2021). Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging.

  • M. Grosser and T. Knopp (2020). Accelerated Multi-Echo Gradient Echo Imaging using Locally-Low Rank Regularization. Proc. ISMRM 2020.

  • M. Grosser, M. Boberg, M. Bahe, and T. Knopp (2020). Enhanced compressed sensing recovery of multi-patch system matrices in MPI. International Journal on Magnetic Particle Imaging. 6. (2), 1-3 [Abstract] [doi] [www]

  • I. M. Baltruschat, P. Szwargulski, F. Griese, M Grosser, R. Werner, T. Knopp (2019). 3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning. arXiv preprint arXiv:1905.03026. [www]

  • M. Grosser and T. Knopp (2019). Low Rank Approach to Sparse System Matrix Recovery for MPI. 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). 31-32 [Abstract]

  • T. Knopp and M. Grosser (2019). MRIReco.jl: An Extensible Open-Source Image Reconstruction Framework written in Julia. Proc. ISMRM 2019.

  • T. Knopp, P. Szwargulski, F. Griese, M. Grosser, M. Boberg, and M. Möddel (2019). MPIReco.jl: Julia Package for Image Reconstruction in MPI. International Journal on Magnetic Particle Imaging. 5. (1), 9 pp [doi]

  • M. Grosser, J.M. Slowik, and R. Santra (2017). Attosecond x-ray scattering from a particle-hole wave packet. Phys. Rev. A. 95. (6), 062107 [doi] [www]

  • P. Nalbach, A.J.A. Achner, M. Frey, M. Grosser, C. Bressler, and M. Thorwart (2014). Hydration shell effects in the relaxation dynamics of photoexcited Fe-II complexes in water. The Journal of Chemical Physics. 141. (4), 044304 [doi] [www]