Flexible and Dynamic Patch Reconstruction for Traveling Wave Magnetic Particle Imaging

Different types of scanners have been presented since the first publication of Magnetic Particle Imaging (MPI) in 2005. As a result, there are different types of reconstruction methods available, which can be separated into two basic concepts: reconstruction using a system matrix and reconstruction using a direct deconvolution. Both methods have their merits and drawbacks. For the first approach hardware parameters like sampling rate and frequencies have to be chosen carefully to fit the parameter selection process required for the system matrix. For the other approach the temporal and spatial homogeneity of the magnetic field gradient over the entire FOV has to be high to perform an accurate reconstruction, which results in smaller FOVs. In this paper a novel reconstruction method is presented, which combines the advantages of both reconstruction methods to be more flexible during the entire reconstruction process. Furthermore, it enables the possibility of performing a dynamic patch reconstruction, which allows to select arbitrary areas of the FOV for higher resolution reducing reconstruction time significantly. In addition, this new reconstruction improved the image quality of a Traveling Wave MPI scanner substantially.

[1]  Matthias Graeser,et al.  Magnetic particle imaging: current developments and future directions , 2015, International journal of nanomedicine.

[2]  Thorsten M. Buzug,et al.  Model-Based Reconstruction for Magnetic Particle Imaging , 2010, IEEE Transactions on Medical Imaging.

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

[4]  P. Hansen Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion , 1987 .

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

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

[7]  Thorsten M. Buzug,et al.  Magnetic Particle Imaging: An Introduction to Imaging Principles and Scanner Instrumentation , 2012 .

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

[9]  J. A. Parker,et al.  Comparison of Interpolating Methods for Image Resampling , 1983, IEEE Transactions on Medical Imaging.

[10]  W H Kullmann,et al.  First in vivo traveling wave magnetic particle imaging of a beating mouse heart , 2016, Physics in medicine and biology.

[11]  Patrick Vogel,et al.  Traveling Wave Magnetic Particle Imaging , 2014, IEEE Transactions on Medical Imaging.

[12]  Frank Ludwig,et al.  Magnetic particle imaging scanner with 10-kHz drive-field frequency , 2013, Biomedizinische Technik. Biomedical engineering.

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

[14]  D. Kalman A Singularly Valuable Decomposition: The SVD of a Matrix , 1996 .

[15]  Robert H. Halstead,et al.  Matrix Computations , 2011, Encyclopedia of Parallel Computing.

[16]  Thorsten M. Buzug,et al.  Artifact free reconstruction with the system matrix approach by overscanning the field-free-point trajectory in magnetic particle imaging , 2016, Physics in medicine and biology.

[17]  William H. Press,et al.  Numerical recipes , 1990 .

[18]  Patrick Vogel,et al.  MRI Meets MPI: A Bimodal MPI-MRI Tomograph , 2014, IEEE Transactions on Medical Imaging.