International Journal on Magnetic Particle Imaging
Vol 7 No 2 (2021): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2021.2112002

Research Articles

Reduction of bias for sparsity promoting regularization in MPI

Main Article Content

Lina Nawwas  , Christina Brandt  , Patryk Szwargulski  , Tobias Knopp  , Martin Möddel  

Abstract

Magnetic Particle Imaging (MPI) is a tracer based medical imaging modality with great potential due to its high sensitivity, high spatial and temporal resolution, and its ability to quantify the tracer concentration. Image reconstruction in MPI is an ill-posed problem, which can be addressed by regularization methods that lead to a reconstruction bias, which is apparent in a systematic mismatch between true and reconstructed tracer distribution. This is expressed in a background signal, a mismatch of the spatial support of the tracer distribution and a mismatch of its values. In this work, MPI reconstruction bias and its impact are investigated and a recently proposed debiasing method with significant bias reduction capabilities is adopted.
 
Int. J. Mag. Part. Imag. 7(2), 2021, Article ID: 2112002, DOI: 10.18416/IJMPI.2021.2112002

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