Tim Parbs, M.Sc.

Research Associate


Institute for Signal Processing
University of Luebeck
Ratzeburger Allee 160
23562 Lübeck

Gebäude 64, 1. OG, Raum 92

Email:parbs(at)isip.uni-luebeck.de
Phone:+49 451 3101 5818
Fax:+49 451 3101 5804

Publications

2019

  • Parbs, T. J., Möller, A. and Mertins, A.: Retrospective Blind MR Image Recovery with Parameterised Motion Models in Bildverarbeitung für die Medizin 2019, pp. 140 - 145, Springer Vieweg, Wiesbaden, Informatik aktuell, 2019
    BibTeX Link Datei
    @InCollection{parbs2019a,
      author       = {Parbs, Tim J., and M{\"o}ller, Anita and Mertins, Alfred},
      title        = {Retrospective Blind MR Image Recovery with Parameterised Motion Models},
      booktitle    = {Bildverarbeitung f{\"u}r die Medizin 2019},
      publisher    = {Springer Vieweg, Wiesbaden},
      year         = {2019},
      editor       = {Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas},
      series       = {Informatik aktuell},
      pages        = {140 - 145},
      doi          = {10.1007/978-3-658-25326-4_30},
      organization = {Springer Vieweg, Wiesbaden},
    }
    
  • Koch, P., Maass, M., Bruhns, M., Droigk, C., Parbs, T. J. and Mertins, A.: Neural Networks for Reconstruction of MPI Images in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019), pp. 39-40, Infinite Science Publishing, New York, USA, March, 2019
    BibTeX Datei
    @inproceedings{koch2019a,
    Author = {Koch, P.  and Maass, M. and Bruhns, M. and Droigk, C.  and Parbs, T. J. and Mertins, A.}, 
    Title = {Neural Networks for Reconstruction of MPI Images}, 
    Year = {2019}, 
    Pages = {39--40}, 
    Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
    publisher = {Infinite Science Publishing},
    address = {New York, USA}, 
    month = {March},
    }
  • Möller, A., Maass, M., Parbs, T. J. and Mertins, A.: Blind Sparsity Based Motion Estimation and Correction Model for Arbitrary MRI Sampling Trajectories in Proceedings of the 27th Joint Annual Meeting of ISMRM, pp. 4496, Montreal, Canada, May, 2019
    BibTeX Link Datei
    @INPROCEEDINGS{moeller2019,
    author = {Möller, Anita and Maass, Marco and Parbs, Tim Jeldrik and Mertins, Alfred},
    title = {Blind Sparsity Based Motion Estimation and Correction Model for Arbitrary MRI Sampling Trajectories},
    booktitle = {Proceedings of the 27th {Joint} {Annual} {Meeting} of {ISMRM}},
    pages = {4496},
    year = {2019},
    address = {Montreal, Canada},
    month = {May},
    url ={https://index.mirasmart.com/ISMRM2019/PDFfiles/4496.html}
    }
  • Möller, A., Maass, M., Parbs, T. J. and Mertins, A.: Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories in Bildverarbeitung für die Medizin 2019, pp. 128-133, Springer Fachmedien Wiesbaden, Wiesbaden, 2019
    BibTeX Link Datei
    @InProceedings{MoellerBVM_2019,
    author="M{\"o}ller, Anita and Maass, Marco and Parbs, Tim Jeldrik and Mertins, Alfred",
    editor="Handels, Heinz and Deserno, Thomas M. and Maier, Andreas and Maier-Hein, Klaus Hermann and Palm, Christoph
    and Tolxdorff, Thomas",
    title="Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories",
    booktitle="Bildverarbeitung f{\"u}r die Medizin 2019",
    year="2019",
    publisher="Springer Fachmedien Wiesbaden",
    address="Wiesbaden",
    pages="128--133",
    abstract="In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.",
    isbn="978-3-658-25326-4",
    doi="10.1007/978-3-658-25326-4_28",
    }