A sparse row-action algorithm for magnetic particle imaging
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A sparse row-action algorithm for magnetic particle imaging. / Lieb, F.; Knopp, T.
In: Int J Magn Part Imag, Vol. 6, No. 2, 2009002, 2020.Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research
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TY - JOUR
T1 - A sparse row-action algorithm for magnetic particle imaging
AU - Lieb, F.
AU - Knopp, T.
N1 - Publisher Copyright: © 2020 Infinite Science Publishing.
PY - 2020
Y1 - 2020
N2 - The image reconstruction in Magnetic Particle Imaging (MPI) relies on efficiently solving an ill-posed inverse problem. Current state-of-the-art reconstruction methods are either based on row-action methods with fast convergence but limited noise suppression or advanced sparsity constraints showing better image quality, but suffering from a higher computational complexity and slower convergence. In this contribution, we propose a novel row-action framework where advanced sparsity constraints, e.g., a combination of l1-and TV-norm, can be included. Its performance is numerically evaluated on simulated and real MPI data, showing a significant reduction of computation time while retaining the enhanced imaging quality.
AB - The image reconstruction in Magnetic Particle Imaging (MPI) relies on efficiently solving an ill-posed inverse problem. Current state-of-the-art reconstruction methods are either based on row-action methods with fast convergence but limited noise suppression or advanced sparsity constraints showing better image quality, but suffering from a higher computational complexity and slower convergence. In this contribution, we propose a novel row-action framework where advanced sparsity constraints, e.g., a combination of l1-and TV-norm, can be included. Its performance is numerically evaluated on simulated and real MPI data, showing a significant reduction of computation time while retaining the enhanced imaging quality.
U2 - 10.18416/IJMPI.2020.2009002
DO - 10.18416/IJMPI.2020.2009002
M3 - Other (editorial matter etc.)
AN - SCOPUS:85090297548
VL - 6
JO - Int J Magn Part Imag
JF - Int J Magn Part Imag
SN - 2365-9033
IS - 2
M1 - 2009002
ER -