Dr.-Ing. Christine Droigk

@InProceedings{Droigk2023,
  author    = {Christine Droigk and Marco Maass and Mathias Eulers and Alfred Mertins},
  title     = {Adaption of direct Chebyshev reconstruction to an anisotropic particle model},
  journal={International Journal on Magnetic Particle Imaging},
  year = {2023},
  volume = {9},
  number = {1 Suppl 1},
 doi    = {10.18416/IJMPI.2023.2303027}
}

@InProceedings{Maass2023,
  author    = {Marco Maass and Christine Droigk and Mathias Eulers and Alfred Mertins},
  title     = {A system function component model for magnetic particle imaging with anisotropic particles},
   journal={International Journal on Magnetic Particle Imaging},
  year = {2023},
  volume = {9},
  number = {1 Suppl 1},
  doi = {10.18416/IJMPI.2023.2303076},
}

@InProceedings{Eulers2023,
  author    = {Mathias Eulers and Christine Droigk and Marco Maass and Alfred Mertins},
   title     = {Deconvolution of direct reconstructions for MPI using Convolutional Neural Network},
  journal={International Journal on Magnetic Particle Imaging},
  year = {2023},
  volume = {9},
  number = {1 Suppl 1},
doi = {10.18416/IJMPI.2023.2303077 }
}

@Article{Droigk2022b,
  author  = {Droigk, Christine and Maass, Marco and Mertins, Alfred},
  journal={International Journal on Magnetic Particle Imaging},
  title={System matrix compression using Chebyshev polynomials of first and second kind},
  year = {2022},
  doi    = {10.18416/IJMPI.2022.2212003},
  volume = {8},
  number = {2},
}

@Article{Droigk2022a,
  author  = {Droigk, Christine and Maass, Marco and Mertins, Alfred},
  journal = {Physics in Medicine & Biology},
  title   = {Direct multi-dimensional Chebyshev polynomial based reconstruction for magnetic particle imaging},
  year = {2022},
  doi    = {10.1088/1361-6560/ac4c2e},
  volume = {67},
  number = {4},
  pages = {045014},
}

@InProceedings{Maass2022N,
     author = {Maass, Marco and Droigk, Christine  and Eulers, Mathias and Mertins, Alfred},
     title = {An analytical equilibrium solution to the Néel relaxation Fokker-Planck equation},
     year = {2022},
     volume = {8},
     number = {1 Suppl 1},
     pages = {1--4},
     doi = {10.18416/IJMPI.2022.2203008},
     journal = {International Journal on Magnetic Particle Imaging},
 }

@InProceedings{maass2020a,
  author    = {Maass, M. and Droigk, C. and Mertins, A.},
  title     = {MPI reconstruction using Bessel functions},
  year      = {2020},
  journal = {International Journal on Magnetic Particle Imaging},
  volume = {6},
  number = {1 Suppl 1},
  doi = {10.18416/IJMPI.2020.2009017},
  month     = {September},
}

@InProceedings{maass2020c,
  author    = {Maass, M. and Droigk, C. and Katzberg, F. and Koch, P. and Mertins, A.},
  booktitle = {28th European Signal Processing Conference (EUSIPCO 2020)},
  title     = {A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging},
  month = {September},
  year      = {2020},
  pages    = {2135--2139},
}

@InProceedings{droigk2020a,
  author    = {Droigk, Christine and Maass, Marco and Mertins, Alfred},
  title     = {An upper bound for the frequency dependent energy of the 2-dimensional system function},
journal = {International Journal on Magnetic Particle Imaging},
volume={6},
  number={2 Suppl 1},
  year      = {2020},
  month     = {September},
doi = {10.18416/IJMPI.2020.2009018}
}

@InProceedings{maass2020b,
  author    = {Maass, M. and Droigk, C. and Mertins, A.},
  title     = {A novel representation of the MPI system function},
     year = {2020},
     volume = {6},
     number = {1 Suppl 1},
     doi = {10.18416/IJMPI.2020.2009050},
     journal = {International Journal on Magnetic Particle Imaging},
 }

@InProceedings{Maass2019,
  author    = {Maass, M. and Droigk, C. and Koch, P. and Mertins, A.},
  title     = {A Strategy for the Extension of the Kaczmarz Algorithm to Different Priors},
  Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
  year      = {2019},
Pages = {111-112}, 
publisher = {Infinite Science Publishing},
address = {New York, USA}, 
month = { March},
}

@incollection{droigk2019joint,
   title={Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging},
   author={Droigk, Christine and Maass, Marco and Englisch, Corbinian and Mertins, Alfred},
   booktitle={Bildverarbeitung f{\"u}r die Medizin 2019},
     series = {Informatik aktuell},
   pages={165-170},
   year={2019},
   publisher = {Springer Vieweg, Wiesbaden},
     organization = {Springer Vieweg, Wiesbaden}, 
editor = {Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas}, 
doi       = {10.1007/978-3-658-25326-4_35}, }

@inproceedings{droigk2019multiresolution,
Author = {Droigk, Christine and Maass, Marco and Koch, Philipp and Möller, Anita and Mertins, Alfred}, 
Title = {Multiresolution Magnetic Particle Imaging of Vessel Structures with Support Detection}, 
Year = {2019}, 
Pages = {113-114}, 
Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
publisher = {Infinite Science Publishing},
address = {New York, USA}, 
month = {March},
}

@article{droigk2019c,
author={Droigk, Christine and Maass, Marco and Mertins, Alfred},
title={Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model},
journal={International Journal of Computer Assisted Radiology and Surgery},
year={2019},
month={November},
day={01},
volume={14},
number={11},
pages={1913-1921},
abstract={Magnetic particle imaging is a tomographic imaging technique that allows one to measure the spatial distribution of superparamagnetic nanoparticles, which are used as tracer. The magnetic particle imaging scanner measures the voltage induced due to the nonlinear magnetization behavior of the nanoparticles. The tracer distribution can be reconstructed from the voltage signal by solving an inverse problem. A possible application is the imaging of vessel structures. In this and many other cases, the tracer is only located inside the structures and a large part of the image is related to background. A detection of the tracer support in early stages of the reconstruction process could improve reconstruction results.},
issn={1861-6429},
doi={10.1007/s11548-019-02079-w}
}

@inproceedings{koch2019a,
Author = {Koch, P.  and Maass, M. and Bruhns, M. and Droigk, C.  and Parbs, T. J. and Mertins, A.}, 
Title = {Neural Network 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},
}

@article {kepp19,
    title = {Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks},
    journal = {Biomedical Optics Express},
    volume = {10},
    year = {2019},
    month = {July},
    pages = {3484-3496},
    doi = {10.1364/BOE.10.003484},
    author = { Kepp, Timo and Droigk, Christine and Casper, Malte and Evers, Michael and Hüttmann, Gereon and Salma, Nunciada and Manstein, Dieter and Heinrich, Mattias P. and Heinz Handels}
}