The MPI image reconstruction problem requires, particularly for 2D and 3D excitation patterns, a measured system matrix due to the lack of an accurate model that is capable of describing the nanoparticles’ magnetization behavior in the MPI setup. Here we exploit a model based on Néel rotation for large particle ensembles and we find model parameters that describe measured 2D MPI data with much higher precision than state of the art MPI models, which is also illustrated in phantom experiments. This is a short summary of the recent work [4] to which we refer to for all further details. Int. J. Mag. Part. Imag. 6(2), Suppl. 1, 2020, Article ID: 2009004, DOI: 10.18416/IJMPI.2020.200900
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
In this work, we develop a new operator-based approach for MPI image reconstruction that can directl...
Theoretically, Magnetic particle imaging (MPI) pledges quantitative imaging of magnetic nanoparticle...
The MPI image reconstruction problem requires, particularly for 2D and 3D excitation patterns, a mea...
The image reconstruction problem of the tomographic imaging technique magnetic particle imaging (MPI...
Image reconstruction is an integral part of Magnetic Particle Imaging (MPI). Over the last years, se...
The model-based reconstruction problem is still one of the key challenges in magnetic particle imagi...
The availability of thorough system simulations for detailed and accurate performance prediction and...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
Magnetic Particle Imaging (MPI) utilizes the nonlinear magnetic response of magnetic nanoparticles (...
We developed a method to characterize the imaging performance of MPI tracers from virtual MPI measur...
Model-based image reconstruction in magnetic particle imaging (MPI) is an alternative to common reco...
System matrix reconstruction of Magnetic Particle Imaging (MPI) require a time-consuming calibration...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
The first issue of the fifth volume of the International Journal on Magnetic Particle Imaging (IJMPI...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
In this work, we develop a new operator-based approach for MPI image reconstruction that can directl...
Theoretically, Magnetic particle imaging (MPI) pledges quantitative imaging of magnetic nanoparticle...
The MPI image reconstruction problem requires, particularly for 2D and 3D excitation patterns, a mea...
The image reconstruction problem of the tomographic imaging technique magnetic particle imaging (MPI...
Image reconstruction is an integral part of Magnetic Particle Imaging (MPI). Over the last years, se...
The model-based reconstruction problem is still one of the key challenges in magnetic particle imagi...
The availability of thorough system simulations for detailed and accurate performance prediction and...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
Magnetic Particle Imaging (MPI) utilizes the nonlinear magnetic response of magnetic nanoparticles (...
We developed a method to characterize the imaging performance of MPI tracers from virtual MPI measur...
Model-based image reconstruction in magnetic particle imaging (MPI) is an alternative to common reco...
System matrix reconstruction of Magnetic Particle Imaging (MPI) require a time-consuming calibration...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
The first issue of the fifth volume of the International Journal on Magnetic Particle Imaging (IJMPI...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
In this work, we develop a new operator-based approach for MPI image reconstruction that can directl...
Theoretically, Magnetic particle imaging (MPI) pledges quantitative imaging of magnetic nanoparticle...