About me

This is me

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.

News

New preprint

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


International Workshop

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.


Invited Talk

Image reconstruction for 4D Magnetic Particle Imaging
at the University Helsinki June 2016, Helsinki, Finland


Old news

Short CV

Academic positions

since 09/2015

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

  • Academy of Finland project "Approximation error modelling in large scale inverse problems in imaging" (2015-2018)
  • Kuopio

    04/2013 - 08/2015

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

  • Helmholtz young investigator group "Fast algorithms for biomedical imaging" (Helmholtz Zentrum München)
  • Osnabrueck

    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

  • DFG priority program SPP1180, project "Mathematical methods for precision balancing of machine tool" (2008-2011)
  • SFB "Micro cold forming" (2012-2013)
  • Zetem

    11/2007 - 12/2007

    Research assistant in the research group "Solid physics" at the University Rostock, working within the SFB 652, project B1 Exciton matter in mesoscopic potentials

  • Tasks: Implementation of a phase retrieval algorithm for ultrashort laser pulses
  • Rostock

    Education

    2008 - 2012

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

    2012: Doctorate degree in mathematics, University Bremen

  • Thesis: "Regularization of Inverse Problems for Turning Processes"
  • Supervisor: Prof Peter Maass
  • Bremen

    10/2001 - 08/2007

    08/2007

    Diploma studies in mathematics , University Rostock

    Diploma degree in mathematics, University Rostock

  • Thesis: "Numerical phase reconstruction" (Numerical phase retrieval)
  • Supervisor: Prof Manfred Tasche
  • 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)

  • Master thesis: "Energy loss of a parton in a quark-gluon-plasma"
  • Supervisor: Stéphane Peigné
  • Nantes

    My research

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    Published publications

    Article

        Brandt, C., Maass, P., Piotrowska-Kurczewski, I., Schiffler, S., Riemer,O., and Brinksmeier, E. Mathematical methods for optimizing high precision cutting operations. International Journal of Nanomanufacturing, 8(4):306–325, 2012.
    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.

    Thesis

        Brandt, C. Regularization of Inverse Problems for Turning Processes. Ph.D. thesis, University of Bremen, Logos, 2012
    available by Logos

    Book chapter

        Andres, M., Blum, H., Brandt, C., Carstensen, C., Maass, P., Niebsch, J., Rademacher, R., Ramlau, R., Schröder, A., Stephan, E.-P., and Wiedemann, S. Process Machine Interactions, Adaptive finite elements and mathematical optimization methods. Lectures Notes in Production Engineering. Springer, 2013.
    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.

    Conference proceedings (reviewed)

        Storath, M., Brandt, C., Hofmann, M., Knopp, T. , Weber, A., Weinmann, A. Fused lasso regularization for magnetic particle imaging. Proceedings of the International Workshop on Magnetic Particle Imaging 2016, March 16-18. 2016, Lübeck, Germany, 2016.

        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.

    Find my papers on researchgate

    Upcoming talks

    The next talks I will give ....

    Invited Talk

    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

    Invited Talk

    Image reconstruction for 4D Magnetic Particle Imaging
    at the University Helsinki
    June 2016, Helsinki, Finland

    Conference talks

    List of all talks in the last years

    2016

    Fused Lasso Regularization for Magnetic Particle Imaging
    International Workshop on Magnetic Particle Imaging IWMPI 2016
    16.-18.3.2016, Lübeck, Germany

    2015

    Fused Lasso based Image Reconstruction for Magnetic Particle Imaging
    Inverse Days 2015, 8.-10.12.2015
    Lappeenranta, Finland

    Sparse Image Reconstruction for Magnetic Particle Imaging
    Mini-symposium on "Mathematical Methods for MPI" at the DMV 2015, 21.-25.9.2015,
    Hamburg
    Invited by Wolfgang Erb

    Photoacoustic Tomography: Sparse Image Reconstruction Using Shearlets
    Applied Inverse Problems 2015
    May 2015
    Helsinki, Finland


    2014

    Photoacoustic Tomography: Sparse Image Reconstruction Using Shearlets
    Seminar AG Imaging, University Münster,
    3.12.2014
    Invited by Martin Burger

    Solving inverse problems for fluorescence microscopy
    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

    Inversion of Photoacoustic Tomography using l1-norm Regularization of Shearlet Coefficients
    SIAM Conference on Imaging Science
    12-14.5.2014,
    Hongkong, China


    Faltungsprobleme in der Biologie
    Workshop Mathematics for Imaging
    02.-04.04.2014,
    Bad Harzburg

    Image Reconstruction for Photoacoustic Tomography using Shearlets,
    Mecklenburger Workshop "Approximationsmethoden und schnelle Algorithmen, 17-20.03.2014,
    Hasenwinkel



    2013

    Inversion of Photoacoustic Tomography using l1-norm Regularization of Shearlet Coefficients
    Advances In Mathematical Image Processing, 30.09.-2.10.2013, Annweiler

    Effective Discretization for Regularized Algebraic Reconstruction Techniques,
    Applied Inverse Problems Conference AIP 2013, 1.-5.07.2013, Daejeon, Korea

    2012

    Sparsity Optimization in High Precision Cutting: an ODE based inverse problem
    Inverse Problems: Modelling and Simulation 2012, 21.-26.05.2012, Antalya, Turkey

    Parameter Identification in Ultra Precision Cutting: an ODE based Inverse Problem,
    Oberseminar Analysis Universität Osnabrück, 14.05.2013, Osnabrück
    (invited talk)

    Parameteridentifikation bei gewöhnlichen Differentialgleichungen von hochpräzisen Zerspanprozessen,
    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 ...

    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.

    Actual research projects on MPI

    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

    Mathematical methods for Magnetic Particle Imaging

    In this scientific network founded by the German Research Foundation ....

    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.

    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.

    Visit Network Webpage

    Approximation error modeling in large scale inverse problems in imaging (09/2015-08/2018)



    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.

    Preprints

        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


    Research interests

    I am currently working on inversion methods ...

    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

  • Collaborations

    Dr. Martin Storath

    Image Analysis and Learning Group
    University of Heidelberg

    Prof. Tobias Knopp, Dr. Martin Hofmann

    Universitätsklinikum Hamburg-Eppendorf
    Sektion für Biomedizinische Bildgebung

    Institut für Biomedizinische Bildgebung
    Technische Universität Hamburg

    Dr. Wolfgang Erb

    Institut für Mathematik
    Universität zu Lübeck

    Prof. Maass, Christine Bathke

    Center for Industrial Mathematics
    Universiy of Bremen

    Teaching

    Actual courses

    Inverse Problems

    I will give the tutorials the inverse problems course in next autumn.

    Previous Courses

    Inverse Problems

    together with Prof. Kunis (Summer semester 2014)

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

    Literature Rieder,
    Keine Probleme mit Inversen Problemen
    Hanke, Engl, Neubauer,
    Regularization of Inverse Problems
    Louis,
    Inverse und schlecht gestellte Probleme


    Mathematics I for production engineering

    2 tutorials during winter semester 2012


    Analysis II

    2 tutorials during summer semester 2012

    Supervised theses and projects

  • Tuukka Heiskanen, Deconvolution in fluorescence microscopy, Summer trainee 2016, University of Eastern Finland
  • Phil Gralla, Mathematical methods for controlling ultra precise processes of machining, Bsc 2012, Secondary Supervisor with Dr. I. Piotrowska, University of Bremen.
  • Philipp Welz, Regenerative chattering for micro cutting processes, Bsc 2011, together with Prof. P. Maaß, University of Bremen.
  • Florian Dollinger, A continuous model for determination of dwell periods for a form corrective polishing process, Diploma thesis 2010 , Secondary supervision with Dr. I. Piotrowska, University of Bremen.
  • Thi Bach, Mathematical optimization of micro polishing, Student project (12 month) 2010, Main supervision together with Dr. I. Piotrowska, University Bremen.
  • Contact me

    Office adress

    University of Eastern Finland
    Department of Applied Physics
    Yliopistonranta 1 F
    49076 Kuopio
    Finland

    Office: Melania 240


    Phone: +358 -469222336
    Mail: Christina.Brandt(ad)uef.fi

    Postal address

    University of Eastern Finland
    Department of Applied Physics
    Kuopio Campus
    PL 44 69
    70211 Kuopio
    Finland