I am currently a Academy post-doctoral researcher in the Inverse Problems research group headed by Jari Kaipio at the University of Eastern Finland in Kuopio.

My actual research covers large-scale inverse problems in biological and medical applications such as for example fluorescence microscopy, photo acoustic tomography and magnetic particle imaging. More precisely, I am working on variational regularization methods, Bayesian inversion, and approximation error modelling.

My reserach is part of the project "Approximation error modelling for large-scale inverse problems in imaging" founded by the Academy of Finland.

Our paper "Edge preserving and noise reducing reconstruction for magnetic particle imaging" is accepted for IEEE TMI

** Mathematical Methods and Emerging Modalities **

Within our MPI network I organise together with A. Weinmann, W. Erb and S. Kunis
a workshop in Osnabrück in the last week in June 2016.

** Image reconstruction for 4D Magnetic Particle Imaging **

at the University Helsinki
June 2016, Helsinki, Finland

since 09/2015

Academy post-doctoral researcher in the Inverse Problems group at the Eastern University of Finland in Kuopio.

04/2013 - 08/2015

Post-doctoral researcher in the research group "Applied and Numerical Analysis" at the University Osnabrück working within the

01/2008 - 04/2013

Research assistant in the at the WG Industrial Mathematics at the Center for Industrial Mathematics at the University Bremen, working within the

2008 - 2012

**Doctoral studies** in the research group "Industrial mathematics" at the University Bremen

2012: **Doctorate degree in mathematics, University Bremen **

10/2001 - 08/2007

08/2007

**Diploma studies in mathematics **, University Rostock

Diploma degree in mathematics, University Rostock

10/2002 - 08/2007

10/2006 - 07/2006

08/2007

** Diploma studies in physics**, University Rostock

Master studies in physics, Erasmus exchange program, University Nantes

Master degree in physics, University Nantes (France)

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doi:10.1504/IJNM.2012.048580.

Brandt, C., Niebsch, J., Ramlau, R., and Maass, P. Modeling the influence of unbalances for ultra-precision cutting processes. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 91(10):795–808, 2011.

doi:10.1002/zamm.201000155.

Piotrowska, I., Brandt, C., Karimi, H. R., and Maass, P. Mathematical model of micro turning process The International Journal of Advanced Manufacturing Technology, Volume 45(1):33–40, 2009.

doi:10.1007/s00170-009-1932-z.

Brandt,C., Niebsch, J., and Vehmeyer, J. Modelling of ultra-precision turning process in consideration of unbalances. Advanced Materials Research, 223:839–848, 2011.

doi:10.4028/www.scientific.net/AMR.223.839.

Gossiaux, P. B., Aichelin, J., Brandt, C., Gousset, T., and Peigné, S. Energy loss of a heavy quark produced in a finite-size quark-gluon plasma. Journal of Physics G: Nuclear and Particle Physics, 34(8):S817, 2007.

doi:10.1088/0954-3899/34/8/S103.

Gossiaux, P.-B., Peigné, S., Brandt, C., and Aichelin, J. Energy loss of a heavy quark produced in a finite size medium. Journal of High Energy Physics, 4(04):012, 2007.

doi:10.1088/1126-6708/2007/04/012.

available by Logos

doi:DOI:10.1007/978-3-642-32448-2.

Brandt, C., Krause, A., Niebsch, J., Vehmeyer, J., Brinksmeier, E., Maass, P., and Riemer, O. Process Machine Interactions, Surface Generation Process with Consideration ot the Balancing State in Diamond Machining. Lectures Notes in Production Engineering. Springer, 2013.

doi:DOI: 10.1007/978-3-642-32448-2.

Piotrowska-Kurczewski, I., Brandt, C., Maass, P., and Riemer, O. Micro Metal Forming, chapter Simulation technologies - Inverse Modelling, pages 368–379. Springer, 2013.

Brandt, C., Piotrowska, I., Karimi, H., Niebsch, J., Ramlau, R., Krause, A., Riemer, O., and Maass, P. Process machine interaction model for turning processes. International Journal of Control Theory and Applications, 1(2):145–153, 2008.

Brandt, C., Niebsch, J., and Vehmeyer, J. Modelling of ultra-precision turning process in consideration of unbalances. In Outeiro, J. C., editor, Proceedings of the 13th CIRP Conference on Modeling of Machining Operations, May 12-13. 2011, Sintra, Portugal, volume 223, pages 839–848. 2011. www.scientific.net/AMR.223.839>

Niebsch, J., Ramlau, R., and Brandt, C. On the interaction of unbalances and surface quality in ultra-precision cutting machinery. In SIRM 2011, Darmstadt, Germany. 2011.

Brandt, C., Niebsch, J., Maaß, P., and Ramlau, R. Simulation of process machine interaction for ultra precision turning. In Proceedings of the 2nd International Conference on Process Machine Interactions, June 10-11, 2010, Vancouver, Canada. 2010.

Brandt, C., Krause, A., Brinksmeier, E., and Maaß, P. Force modelling in diamond machining with regard to the surface generation process. In Proceedings of the 9th International Conference and Exhibition on Laser Metrology, machine tool, CMM and robotic performance, LAMDAMAP 2009, London, 30.06.-02.07.2009, pages 377–386. 2009.

Energy loss of a heavy quark produced in a finite-size quark-gluon plasma, volume 34, 2007.

doi:10.1088/0954-3899/34/8/S103. QM2006 Proceedings; 19th International Conference on Ultra-Relativistic Nucleus-Nucleus Collisions (QM2006), Shanghai, China, November 14-20, 2006.

** Edge Preserving Image Reconstruction for 3D Magnetic Particle Imaging **

in the mini-symposium "New Models for Image Restoration and Enhancement" at SIAM 2016

May 2016, Albuquerque

** Image reconstruction for 4D Magnetic Particle Imaging **

at the University Helsinki

June 2016, Helsinki, Finland

International Workshop on Magnetic Particle Imaging IWMPI 2016

16.-18.3.2016, Lübeck, Germany

Inverse Days 2015, 8.-10.12.2015

Lappeenranta, Finland

Mini-symposium on "Mathematical Methods for MPI" at the DMV 2015, 21.-25.9.2015,

Hamburg

Invited by Wolfgang Erb

Applied Inverse Problems 2015

May 2015

Helsinki, Finland

Seminar AG Imaging, University Münster,

3.12.2014

Invited by Martin Burger

DSR seminar at the Helmholtz Institut München

7.7.2014

Invited by Frank Filbir

** Sparse Image Reconstruction for Photoacoustic Tomography Using Shearlets **

Workshop "Wavelets and Applications"

22.5.2014,

Université Libre de Bruxelles, Belgium

Invited by Christine de Mol

SIAM Conference on Imaging Science

12-14.5.2014,

Hongkong, China

Mecklenburger Workshop "Approximationsmethoden und schnelle Algorithmen, 17-20.03.2014,

Hasenwinkel

Advances In Mathematical Image Processing, 30.09.-2.10.2013, Annweiler

Applied Inverse Problems Conference AIP 2013, 1.-5.07.2013, Daejeon, Korea

Inverse Problems: Modelling and Simulation 2012, 21.-26.05.2012, Antalya, Turkey

Oberseminar Analysis Universität Osnabrück, 14.05.2013, Osnabrück

(invited talk)

Winterseminar der AG Technomathematik der Universität Bremen, 2012, 28.-29.2.2912, Ganderkesee

Magnetic Particle Imaging (MPI) is a novel imaging modality for biomedical diagnostics that determines the spatial distribution of magnetic nanoparticles by measuring the non-linear magnetization response of the particles to an applied magnetic field. The advantages of MPI are the high dynamic spatial and temporal resolution and that it does not employ any ionizing radiation.

**Bimodal reconstructions for MRI-MPI**, joint work with Christine Bathke, Tobias Kluth and Peter Maass

**Joint reconstruction in multi-color MPI**, joint work with Martin Storath, Martin Hofmann and Tobias Knopp

**Approximation error modelling for model-based MPI**, joint work with Aku Seppänen

**Time based regularization for 4D MPI**, joint work Andreas Hauptmann

It is a joint research within of the scientific network "Mathematical methods for Magnetic Particle Imaging (MIEM). The network funded by the DFG consists of 9 researchers and it is lead by Dr. Wolfgang Erb from the University of Lübeck. For more information, see the official MIEM homepage.

The main objective of this research is the development of mathematical methods for three imaging modalities in biological and medical applications: fluorescence microscopy (FM), photo-acoustic tomography (PAT) and magnetic particle imaging (MPI). All imaging applications have in common that the desired object such as in PAT and MPI the cancer cell in the human body is not directly observable but can be measured only indirectly.

In order to reconstruct the desired object, one has to solve the so-called inverse problem. In this project, mathematical methods for solving inverse problems are developed which consider modelling errors and uncertainties of the underlying models in the inversion. It is expected that the image reconstruction quality will be increased significantly in all three applications. In particular, the improvements are assumed to contribute to the development of PAT and MPI as medical imaging techniques in clinical practice.

This project is founded by the Academy of Finland.

Storath, M.; Brandt, C.; Hofmann, M.; Knopp, T.; Salamon, J.; Weber, A. & Weinmann, A.:
Edge preserving and noise reducing reconstruction for magnetic particle imaging, to appear in IEEE Transactions on Medical Imaging

doi:10.1109/TMI.2016.2593954

Bathke, C.; Kluth, T.; Brandt, C.; Maass, P.: Improved image reconstruction in magnetic particle imaging using structural a priori information, submitted to IWMPI

Brandt, C.; Seppänen, A. : Recovery from errors due to domain truncation in magnetic particle imaging -- approximation error modeling approach, in preparation for submission

doi:10.1109/TMI.2016.2593954

Bathke, C.; Kluth, T.; Brandt, C.; Maass, P.: Improved image reconstruction in magnetic particle imaging using structural a priori information, submitted to IWMPI

Brandt, C.; Seppänen, A. : Recovery from errors due to domain truncation in magnetic particle imaging -- approximation error modeling approach, in preparation for submission

I am currently working on inversion methods for magnetic particle imaging and as well as for deconvolution problems
in fluorescence microscopy. Moreover, I am studying how to use shearlets for sparse reconstruction in photoacoustic tomography.

More generally my research interests are :

Medical and biological imaging
Modelling and simulation
Regularization with sparsity constraints
Bayesian inversion and approximation error modelling

More generally my research interests are :

**Dr. Martin Storath**

Image Analysis and Learning Group

University of Heidelberg

**Prof. Tobias Knopp, Dr. Martin Hofmann**

Sektion für Biomedizinische Bildgebung

Institut für Biomedizinische Bildgebung

Technische Universität Hamburg

**Dr. Wolfgang Erb**

Universität zu Lübeck

**Prof. Maass, Christine Bathke**

Universiy of Bremen

Inverse Problems occur in many applications in science, medicine and technology. The course will cover the classical regularization theory for linear inverse problems .

Keine Probleme mit Inversen Problemen

Hanke, Engl, Neubauer,

Regularization of Inverse Problems

Louis,

Inverse und schlecht gestellte Probleme

Department of Applied Physics

Yliopistonranta 1 F

49076 Kuopio

Finland

Office: Melania 240

Phone: +358 -469222336

Mail: Christina.Brandt(ad)uef.fi

Department of Applied Physics

Kuopio Campus

PL 44 69

70211 Kuopio

Finland