Comparison of System-Matrix-Based and Projection-Based Reconstructions for Field Free Line Magnetic Particle Imaging

In magnetic particle imaging (MPI), system sensitivity can be enhanced by scanning the sample along a field free line (FFL) instead of a field free point (FFP). FFL MPI data can then be processed via system-matrix or projection-based reconstructions. Here, we compare the relative performance of these two approaches. We assume an ideal FFL (straight and homogeneous), which is translated and rotated in a two-dimensional field-of-view. We simulate the acquired data from a numerical vessel phantom for a broad range of noise levels. For the system-matrix reconstruction, we propose Alternating Direction Method of Multipliers (ADMM) to solve a constrained convex optimization problem. We also analyze the results of the nonnegative fused lasso (NFL) model to compare the performance of ADMM with one of the state-of-the-art system-matrix-based methods. For the projection-based reconstruction, we use the inverse Radon transform formulation with x-space reconstruction. System-matrix-based methods resulted in a higher structural similarity index and contrast compared to the x-space reconstruction method at the expense of longer reconstruction time. Artifacts occurred due to gridding errors for the x-space reconstruction. As expected, ADMM and NFL reconstructions yielded similar image quality.

[1]  Tobias Knopp,et al.  Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging , 2017, IEEE Transactions on Medical Imaging.

[2]  Michael Unser,et al.  Joint image reconstruction and segmentation using the Potts model , 2014, 1405.5850.

[3]  Thorsten M. Buzug,et al.  Compressed Sensing of the System Matrix and Sparse Reconstruction of the Particle Concentration in Magnetic Particle Imaging , 2015, IEEE Transactions on Magnetics.

[4]  Patrick W. Goodwill,et al.  Magnetostimulation Limits in Magnetic Particle Imaging , 2013, IEEE Transactions on Medical Imaging.

[5]  Thorsten M. Buzug,et al.  Electronic Field Free Line Rotation and Relaxation Deconvolution in Magnetic Particle Imaging , 2015, IEEE Transactions on Medical Imaging.

[6]  Patrick Vogel,et al.  Flexible and Dynamic Patch Reconstruction for Traveling Wave Magnetic Particle Imaging , 2016 .

[7]  Kenya Murase,et al.  Development of a system for magnetic particle imaging using neodymium magnets and gradiometer , 2014 .

[8]  Laurent Condat,et al.  A Direct Algorithm for 1-D Total Variation Denoising , 2013, IEEE Signal Processing Letters.

[9]  Müjdat Çetin,et al.  An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging , 2016, IEEE Transactions on Computational Imaging.

[10]  A. Chambolle FINITE-DIFFERENCES DISCRETIZATIONS OF THE MUMFORD-SHAH FUNCTIONAL , 1999 .

[11]  Justin J. Konkle,et al.  Projection Reconstruction Magnetic Particle Imaging , 2013, IEEE Transactions on Medical Imaging.

[12]  Antonin Chambolle,et al.  Total Variation Minimization and a Class of Binary MRF Models , 2005, EMMCVPR.

[13]  Bernhard Gleich,et al.  Tomographic imaging using the nonlinear response of magnetic particles , 2005, Nature.

[14]  Thorsten M. Buzug,et al.  A Fourier slice theorem for magnetic particle imaging using a field-free line , 2011 .

[15]  Patrick W. Goodwill,et al.  Relaxation in X-Space Magnetic Particle Imaging , 2012, IEEE Transactions on Medical Imaging.

[16]  Bo Zheng,et al.  Projection X-Space Magnetic Particle Imaging , 2012, IEEE Transactions on Medical Imaging.

[17]  B Gleich,et al.  Weighted iterative reconstruction for magnetic particle imaging , 2010, Physics in medicine and biology.

[18]  Thorsten M. Buzug,et al.  Influence of Magnetic Field Optimization on Image Quality Achieved for Efficient Radon-Based Reconstruction in Field Free Line Imaging in MPI , 2012 .

[19]  Tobias Knopp,et al.  Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing , 2015 .

[20]  Thorsten M Buzug,et al.  Efficient generation of a magnetic field-free line. , 2010, Medical physics.

[21]  Bernhard Gleich,et al.  Signal encoding in magnetic particle imaging: properties of the system function , 2009, BMC Medical Imaging.

[22]  Emine U Saritas,et al.  Low drive field amplitude for improved image resolution in magnetic particle imaging. , 2015, Medical physics.

[23]  Patrick W. Goodwill,et al.  Multidimensional X-Space Magnetic Particle Imaging , 2011, IEEE Transactions on Medical Imaging.

[24]  Bernhard Gleich,et al.  Magnetic particle imaging using a field free line , 2008 .

[26]  T Knopp,et al.  Online reconstruction of 3D magnetic particle imaging data , 2016, Physics in medicine and biology.

[27]  Bernhard Gleich,et al.  Simultaneous magnetic particle imaging (MPI) and temperature mapping using multi-color MPI , 2016 .