# A Wavelet Based Sparse Row-Action Method for Image Reconstruction in Magnetic Particle Imaging

@article{Lieb2021AWB, title={A Wavelet Based Sparse Row-Action Method for Image Reconstruction in Magnetic Particle Imaging}, author={Florian Lieb and Tobias Knopp}, journal={Medical physics}, year={2021} }

PURPOSE
Magnetic Particle Imaging (MPI) is a preclinical imaging technique capable of visualizing the spatio-temporal distribution of magnetic nanoparticles. The image reconstruction of this fast and dynamic process relies on efficiently solving an ill-posed inverse problem. Current approaches to reconstruct the tracer concentration from its measurements are either adapted to image characteristics of MPI but suffer from higher computational complexity and slower convergence or are fast but lack… Expand

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Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset

- Computer Science, Engineering
- ArXiv
- 2020

A novel reconstruction approach based on a deep image prior, which builds on representing the solution by a deep neural network is investigated, which compares quantitatively in terms of peak signal-to-noise ratios and structural similarity indices on the publicly available Open MPI dataset. Expand

Fast MPI reconstruction with non-smooth priors by stochastic optimization and data-driven splitting

- Physics, Medicine
- Physics in medicine and biology
- 2021

Stochastic primal-dual hybrid gradient method is proposed to use to gain more flexibility concerning the choice of data fitting term and regularization, respectively, and still obtain an algorithm which is at least as fast as Kaczmarz method. Expand

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