@article{NawwasMultiContrastCompression2025IWMPI,
Author = {L. Nawwas, M. Möddel, and T. Knopp},
Title = {Multi-Contrast MPI Matrix Compression.},
Journal = {<em>International Journal on Magnetic Particle Imaging</em>.},
Year = {(2025).},
Volume = {<strong>11</strong>.},
Number = {(1 Suppl 1),},
Pages = {1-2},
Month = {Mar},
Note = {inproceedings, artifact},
Doi = {https://doi.org/10.18416/IJMPI.2025.2503062},
Url = {https://www.journal.iwmpi.org/index.php/iwmpi/article/view/888},
Keywords = {inproceedings},
Abstract = {Multi-contrast magnetic particle imaging (MPI) reconstructs the signal from different tracer materials or environments, resulting in multi-channel images that enable temperature or viscosity quantification. Since the multi-contrast problem is ill-posed, it is addressed by regularization methods that are commonly solved using the Kaczmarz algorithm. Unlike the single-contrast MPI problem, the multi-contrast one requires a high number of iterations to converge. Matrix compression techniques were already successfully used in single-contrast reconstruction and matrix recovery applications as in compressed sensing. Our work proposes to use matrix compression to reduce the reconstruction time needed to achieve good reconstruction quality in multi-contrast MPI.}
}

@COMMENT{Bibtex file generated on 2026-5-15 with typo3 si_bibtex plugin. Data from https://www.tuhh.de/ibi/people/martin-moeddel }