Model-based reconstruction for magnetic particle imaging.
Magnetic particle imaging (MPI) is a new imaging modality capable of imaging distributions of superparamagnetic nanoparticles with high sensitivity, high spatial resolution and, in particular, high imaging speed. The image reconstruction process requires a system function, describing the mapping between particle distribution and acquired signal. To date, the system function is acquired in a tedious calibration procedure by sequentially measuring the signal of a delta sample at the positions of a grid that covers the field of view. In this work, for the first time, the system function is calculated using a model of the signal chain. The modeled system function allows for reconstruction of the particle distribution in a 1-D MPI experiment. The approach thus enables fast generation of system functions on arbitrarily dense grids. Furthermore, reduction in memory requirements may be feasible by generating parts of the system function on the fly during reconstruction instead of keeping the complete matrix in memory.
Institute of Medical Engineering, University of Lübeck, 23538 Lübeck, Germany. knopp@imt.uni-luebeck.de
Tobias
T
Knopp
Timo F
TF
Sattel
Sven
S
Biederer
Jürgen
J
Rahmer
Jürgen
J
Weizenecker
Bernhard
B
Gleich
Jörn
J
Borgert
Thorsten M
TM
Buzug
D000465:Algorithms; D005290:Ferric Compounds / Q000737:chemistry*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D053768:Metal Nanoparticles / Q000737:chemistry*; D008962:Models, Theoretical; D019047:Phantoms, Imaging
D005290:Ferric Compounds; C000499:ferric oxide