Uncertainty estimation for 2D magnetic particle imaging
Mark-Alexander Henn, Klaus Natorf Quelhas, Solomon I. Woods
Magnetic Particle Imaging (MPI) has in recent years been established as a powerful imaging tool that measures thenon-linear magnetic response of magnetic particles to an applied field. Obtaining quantitative information fromthese images in the form of a discretized version of the particle distribution in space requires the solution of aninverse problem that can be addressed by linear regression. We demonstrate how the linear regression can be usedto also estimate the uncertainty of the reconstructed particle distribution.
International Journal on Magnetic Particle Imaging
, Natorf Quelhas, K.
and Woods, S.
Uncertainty estimation for 2D magnetic particle imaging, International Journal on Magnetic Particle Imaging, [online], https://doi.org/10.18416/IJMPI.2022.2203082, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933967
(Accessed March 1, 2024)