System matrix reconstruction of Magnetic Particle Imaging (MPI) require a time-consuming calibration process. The total number of pixels of the desired image has a direct effect on the calibration time. Although there are various techniques that can shorten the calibration process such as compressive sensing or coded calibration scenes, the increase in total number of pixels still require higher number of samples. In this study, we propose a simple super-resolution technique for MPI images during reconstruction. Using simulations on a field free line MPI scanner system with low drive field amplitude, we show that one can achieve higher resolution images by simply applying super-resolution techniques on the rows of the system matrix. We demo...
Magnetic Particle Imaging (MPI) is a tomographic imaging technique for determining the spatial distr...
In magnetic particle imaging, the time consuming measurement of a system matrix is required before i...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
Magnetic particle imaging (MPI) is a new imaging modality which draws much attention due to its high...
Magnetic particle imaging (MPI) is a quantitative method for determining the spatial distribution of...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
In multi-patch magnetic particle imaging an artifact-free image can be obtained by using a joint rec...
In magnetic particle imaging (MPI), 1D projected signals can be collected by exciting magnetic ...
Enhancements in spatial resolution can open new avenues for novel applications, but acquiring data a...
The image reconstruction problem of the tomographic imaging technique magnetic particle imaging (MPI...
In iterative system-matrix-based reconstruction in Magnetic Particle Imaging, three major parameters...
Magnetic particle imaging (MPI) offers an exceptional set of advantages including high sampling effi...
Image reconstruction is an integral part of Magnetic Particle Imaging (MPI). Over the last years, se...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
Magnetic Particle Imaging (MPI) is an emerging imaging modality with potential clinical applications...
Magnetic Particle Imaging (MPI) is a tomographic imaging technique for determining the spatial distr...
In magnetic particle imaging, the time consuming measurement of a system matrix is required before i...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
Magnetic particle imaging (MPI) is a new imaging modality which draws much attention due to its high...
Magnetic particle imaging (MPI) is a quantitative method for determining the spatial distribution of...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
In multi-patch magnetic particle imaging an artifact-free image can be obtained by using a joint rec...
In magnetic particle imaging (MPI), 1D projected signals can be collected by exciting magnetic ...
Enhancements in spatial resolution can open new avenues for novel applications, but acquiring data a...
The image reconstruction problem of the tomographic imaging technique magnetic particle imaging (MPI...
In iterative system-matrix-based reconstruction in Magnetic Particle Imaging, three major parameters...
Magnetic particle imaging (MPI) offers an exceptional set of advantages including high sampling effi...
Image reconstruction is an integral part of Magnetic Particle Imaging (MPI). Over the last years, se...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...
Magnetic Particle Imaging (MPI) is an emerging imaging modality with potential clinical applications...
Magnetic Particle Imaging (MPI) is a tomographic imaging technique for determining the spatial distr...
In magnetic particle imaging, the time consuming measurement of a system matrix is required before i...
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithm...