Christine Droigk, M.Sc.

Research Associate
Institute for Signal Processing
University of Luebeck
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 1. OG,
Raum 30a
Email: | c.droigk(at)uni-luebeck.de |
Phone: | +49 451 3101 5815 |
Research interests
- Magnetic particle imaging reconstruction
- Mathematical models in magnetic particle imaging
Publications
2022
Christine
Droigk,
Marco
Maaß, and
Alfred
Mertins,
Direct multi-dimensional Chebyshev polynomial based reconstruction for magnetic particle imaging,
Physics in Medicine & Biology
,
vol. 67,
no. 4,
pp. 045014,
2022.
DOI: | 10.1088/1361-6560/ac4c2e |
Bibtex: | ![]() @Article{Droigk2022a, author = {Droigk, Christine and Maass, Marco and Alfred Mertins}, 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}, } |
2020
M.
Maaß,
C.
Droigk, and
A.
Mertins,
A novel representation of the MPI system function,
in 10th International Workshop on Magnetic Particle Imaging (IWMPI 2020)
,
Würzburg, Germany
,
2020.
M.
Maaß,
C.
Droigk,
F.
Katzberg,
P.
Koch, and
A.
Mertins,
A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging,
in 28th European Signal Processing Conference (EUSIPCO 2020)
,
2020.
pp. 2135--2139.
File: | |
Bibtex: | ![]() @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}, } |
Christine
Droigk,
Marco
Maaß, and
Alfred
Mertins,
An upper bound for the frequency dependent energy of the 2-dimensional system function,
International Journal on Magnetic Particle Imaging
,
vol. 6,
no. 2 Suppl 1,
2020.
M.
Maaß,
C.
Droigk, and
A.
Mertins,
MPI reconstruction using bessel functions,
in 10th International Workshop on Magnetic Particle Imaging (IWMPI 2020)
,
Würzburg, Germany
,
2020.
2019
M.
Maaß,
C.
Droigk,
P.
Koch, and
A.
Mertins,
A Strategy for the Extension of the Kaczmarz Algorithm to Different Priors,
in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)
,
New York, USA:
Infinite Science Publishing,
2019.
pp. 111-112.
File: | |
Bibtex: | ![]() @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}, } |
Christine
Droigk,
Marco
Maaß,
Corbinian
Englisch, and
Alfred
Mertins,
Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging,
in Bildverarbeitung für die Medizin 2019
,
Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas, Eds.
Springer Vieweg, Wiesbaden,
2019,
pp. 165-170.
DOI: | 10.1007/978-3-658-25326-4_35 |
File: | |
Bibtex: | ![]() @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}, } |
Christine
Droigk,
Marco
Maaß,
Philipp
Koch,
Anita
Möller, and
Alfred
Mertins,
Multiresolution Magnetic Particle Imaging of Vessel Structures with Support Detection,
in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)
,
New York, USA:
Infinite Science Publishing,
2019.
pp. 113-114.
File: | |
Bibtex: | ![]() @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}, } |
Christine
Droigk,
Marco
Maaß, and
Alfred
Mertins,
Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model,
International Journal of Computer Assisted Radiology and Surgery
,
vol. 14,
no. 11,
pp. 1913-1921,
2019.
DOI: | 10.1007/s11548-019-02079-w |
Bibtex: | ![]() @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} } |
P.
Koch,
M.
Maaß,
M.
Bruhns,
C.
Droigk,
T. J.
Parbs, and
A.
Mertins,
Neural Network for Reconstruction of MPI Images,
in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)
,
New York, USA:
Infinite Science Publishing,
2019.
pp. 39--40.
File: | |
Bibtex: | ![]() @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}, } |
Timo
Kepp,
Christine
Droigk,
Malte
Casper,
Michael
Evers,
Gereon
Hüttmann,
Nunciada
Salma,
Dieter
Manstein,
Mattias P.
Heinrich, and
Heinz
Handels,
Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks,
Biomedical Optics Express
,
vol. 10,
pp. 3484-3496,
2019.
DOI: | 10.1364/BOE.10.003484 |
Bibtex: | ![]() @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} } |