Theory and Reconstruction
Magnetic Particle Imaging (MPI) is an emerging tomographic imaging modality that visualizes magnetic tracer material. As seen in established techniques, innovative developments, in terms of the tracer material and the hardware of an actual scanner system, require a sophisticated theoretical background, as well as extensive testing in simulation experiments.
Among other topics, this research includes magnetic field simulations, data acquisition protocols, signal processing algorithms, reconstruction techniques, mathematical models, and quality assessment methods.
Illustrated excerpt from the work in theory and reconstruction at the Institute of Medical Engineering.
Publications
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Comparison of Reconstruction Methods for Measured FFL Data, 2022, DOI: 10.18416/IJMPI.2022.2203061.
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Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects, International Journal on Magnetic Particle Imaging, 5(1), 1908001, 2019, DOI: 10.18416/ijmpi.2019.1908001.
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Mathematical analysis of the 1D model and reconstruction schemes for magnetic particle imaging, Inverse Problems, 34(5), 055012, 2018, DOI: 10.1088/1361-6420/aab8d1.
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Abstract: Patches in Magnetic Particle Imaging, 2018.
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Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects, 55–56, 2018.
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Reusing System Matrices of Patches in Magnetic Particle Imaging via Mirroring, 51–52, 2018.
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Hybrid System Calibration for Multidimensional Magnetic Particle Imaging, Physics in Medicine and Biology, 62(9), 3392–3406, 2017, DOI: 10.1088/1361-6560/aa5340.
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Applying Compressed Sensing on Hybrid System Matrices in Magnetic Particle Imaging, 81, 2017.
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X-Space and Chebyshev Reconstruction in Magnetic Particle Imaging, 75, 2016.
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Bildgebungskonzepte für Magnetic Particle Imaging Bildgebungskonzepte und Rekonstruktionsansätze für große Bildgebungsvolumen bei Magnetic Particle Imaging, Infinite Science Publishing, Lübeck, 2016, ISBN: 9783945954157 3945954150.
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Lissajous Node Points for a Sytem Matrix based MPI Image Reconstruction Approach, 99, 2016.
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Studies on the Optimization of Efficient Selection and Focus Field Coil Configurations, 30, 2016.
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Tikhonov regularization scheme for image reconstruction in the presence of model errors, 233–236, 2016.
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Predicting 2D MPI imaging performance using a conventionally acquired or a hybrid 2D system function, 2016.
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Towards the Characterization of Distortion Artifacts in Elongated Trajectory MPI, 114, 2016.
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The Influence of Trajectory and System Matrix Overlap on Image Reconstruction Results in Magnetic Particle Imaging, 175, 2016.
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Non-Equispaced System Matrix Acquisition for Magnetic Particle Imaging based on Lissajous Node Points, IEEE Transactions on Medical Imaging, PP(99), 1–1, 2016, DOI: 10.1109/TMI.2016.2580458.
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X-space Deconvolution for Multidimensional Lissajous-based Data- Acquisition Schemes, 74, 2016.
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Optimized Compression of MPI System Matrices Using a Symmetry-Preserving Secondary Orthogonal Transform, International Journal on Magnetic Particle Imaging, 2(1), 1607002, 2016, DOI: 10.18416/ijmpi.2016.1607002.
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Using data redundancy gained by patch overlaps to reduce truncation artifacts in magnetic particle imaging, Physics in Medicine and Biology, 61(12), 4583, 2016, DOI: 10.1088/0031-9155/61/12/4583.
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Undersampling the system matrix of a single sided MPI-scanner, 2015, DOI: 10.1109/IWMPI.2015.7107021.
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Experimental Evaluation of Different Weighting Schemes in Magnetic Particle Imaging Reconstruction, Current Directions in Biomedical Engineering 2015, 1(1), 206–209, 2015, DOI: 10.1515/CDBME-2015-0052.
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Artifacts in field free line magnetic particle imaging in the presence of inhomogeneous and nonlinear magnetic fields, Current Directions in Biomedical Engineering, 1(1), 245–248, 2015, DOI: 10.1515/cdbme-2015-0061.
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High resolution magnetic particle imaging with low density trajectory, 2015, DOI: 10.1109/IWMPI.2015.7106995.
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Axially Elongated Field-Free Point Data Acquisition in Magnetic Particle Imaging, IEEE Transactions on Medical Imaging, 34(2), 381–387, 2015, DOI: 10.1109/TMI.2014.2357077.
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Artifacts in Field Free Line Magnetic Particle Imaging in the Presence of Inhomogeneous and Nonlinear Magnetic Fields, 2015.
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Focus field based trajectory elongation in MPI, 2015, DOI: 10.1109/IWMPI.2015.7107019.
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Artifacts in field free line magnetic particle imaging, 2015, DOI: 10.1109/IWMPI.2015.7107043.
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Compressed Sensing of the System Matrix and Sparse Reconstruction of the Particle Concentration in Magnetic Particle Imaging, IEEE Transactions on Magnetics, 51(2), 6501304, 2015, DOI: 10.1109/TMAG.2014.2326432.
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Toward the Optimization of D-Shaped Coils for the Use in an Open Magnetic Particle Imaging Scanner, IEEE Transactions on Magnetics, 50(7), 5100507, 2014, DOI: 10.1109/TMAG.2014.2303113.
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Efficient gradient field generation providing a multi-dimensional arbitrary shifted field-free point for magnetic particle imaging, Journal of Applied Physics, 115(4), 044910, 2014, DOI: 10.1063/1.4863177.
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Simultaneous Reconstruction and Resolution Enhancement for Magnetic Particle Imaging, IEEE Transactions on Magnetics, 51(2), 6500804, 2014, DOI: 10.1109/TMAG.2014.2330553.
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Electronic Field Free Line Rotation and Relaxation Deconvolution in Magnetic Particle Imaging, IEEE Transactions on Medical Imaging, 34(2), 644–651, 2014, DOI: 10.1109/TMI.2014.2364891.
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Comparison of X-Space and Chebychev Reconstruction in Magnetic Particle Imaging, 104–105, 2014.
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Simultaneous Reconstruction and Resolution Enhancement for Magnetic Particle Imaging, 28–29, 2014.
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Efficient Gradient Fields in Magnetic Particle Imaging - From One Dimension to Multiple Dimensions, 72–73, 2014.
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Iterative Hard Thresholding for the Reconstruction of an Undersampled System Matrix in Magnetic Particle Imaging, 628–632, 2014, DOI: 10.1515/bmt-2014-5008.
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Super-resolution approaches for resolution enhancement in magnetic particle imaging, 2013, DOI: 10.1109/IWMPI.2013.6528360.
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Comparison of Open Scanner Designs for Interventional Magnetic Particle Imaging, 2013, DOI: 10.1515/bmt-2013-4279.
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On the formulation of the image reconstruction problem in magnetic particle imaging, Biomedizinische Technik / Biomedical Engineering, 58(6), 583–591, 2013, DOI: 10.1515/bmt-2012-0063.
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Measure of trajectory quality in Magnetic Particle Imaging, 2013, DOI: 10.1109/IWMPI.2013.6528351.
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Super-resolution approach in magnetic particle imaging – Evaluation of effectiveness at various noise levels, 2013.
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Truncation artifacts in Magnetic Particle Imaging, 2013, DOI: 10.1109/IWMPI.2013.6528335.
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Enlarging the Field of View in Magnetic Particle Imaging – A Comparison, 249–253, 2012, DOI: 10.1007/978-3-642-24133-8_40.
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Visualization of Instruments in interventional Magnetic Particle Imaging (iMPI): A Simulation Study on SPIO Labelings, 167–172, 2012, DOI: 10.1007/978-3-642-24133-8_27.
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Extended Field of View in Magnetic Particle Imaging, 755, 2012, DOI: 10.1515/bmt-2012-4083.
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1D-image reconstruction for magnetic particle imaging using a hybrid system function, 2545–2548, 2011, DOI: 10.1109/NSSMIC.2011.6152687.