Publisher DOI: 10.18416/IJMPI.2020.2009041
Title: Bias-reduction for sparsity promoting regularization in magnetic particle imaging
Language: English
Authors: Nawwas, Lina 
Möddel, Martin 
Knopp, Tobias 
Brandt, Christina 
Issue Date: 2020
Source: International Journal on Magnetic Particle Imaging 2 (6): 2009041 1-3 (2020-01-01)
Journal or Series Name: International journal on magnetic particle imaging 
Abstract (english): 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 ability to quantify the tracer concentration. Image reconstruction in MPI is an ill-posed problem that can be addressed by regularization methods that each lead to a bias. Reconstruction bias in MPI is most apparent in a mismatch between true and reconstructed tracer distribution. This is expressed globally in the spatial support of the distribution and locally in its intensity values. In this work, MPI reconstruction bias and its impact are investigated and a two-step debiasing method with significant bias reduction capabilities is introduced.
URI: http://hdl.handle.net/11420/7325
ISSN: 2365-9033
Institute: Biomedizinische Bildgebung E-5 
Type: (wissenschaftlicher) Artikel
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