A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction

04/28/2020
by   Gaël Bringout, et al.
0

We derive a new 3D model for magnetic particle imaging (MPI) that is able to incorporate realistic magnetic fields in the reconstruction process. In real MPI scanners, the generated magnetic fields have distortions that lead to deformed magnetic low-field volumes (LFV) with the shapes of ellipsoids or bananas instead of ideal field-free points (FFP) or lines (FFL), respectively. Most of the common model-based reconstruction schemes in MPI use however the idealized assumption of an ideal FFP or FFL topology and, thus, generate artifacts in the reconstruction. Our model-based approach is able to deal with these distortions and can generally be applied to dynamic magnetic fields that are approximately parallel to their velocity field. We show how this new 3D model can be discretized and inverted algebraically in order to recover the magnetic particle concentration. To model and describe the magnetic fields, we use decompositions of the fields in spherical harmonics. We complement the description of the new model with several simulations and experiments.

READ FULL TEXT

page 19

page 20

page 21

page 22

page 24

03/30/2020

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

Magnetic Particle Imaging (MPI) is a preclinical imaging technique capab...
07/03/2020

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

Magnetic particle imaging (MPI) is an imaging modality exploiting the no...
10/17/2019

Visualizing the world's largest turbulence simulation

In this exploratory submission we present the visualization of the large...
01/16/2020

L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset

Magnetic particle imaging is an emerging quantitative imaging modality, ...
05/08/2019

3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning

Magnetic particle imaging (MPI) data is commonly reconstructed using a s...
09/12/2018

Effects of rotation and magnetic field on the revival of a stalled shock in supernova explosions

We investigate axisymmetric steady solutions of (magneto)hydrodynamics e...
10/20/2021

Distributed Simulation and Visualization of The ALICE Detector Magnetic Field

The ALICE detector at CERN uses properties of the magnetic field acting ...