Accurately reconstruction functions with discontinuities is the key in many bio-imaging applications as, for instance, in Magnetic Particle Imaging (MPI) . In this paper we apply a method for scatytred data interpolation, named mapped bases or Fake Nodes approach, which incorporates discontinuities via a suitable mapping function. This technique naturally mitigates the Gibbs phenomenon, as numerical evidence for reconstructing MPI images confirms
Due to the complex physical behavior of the nanoparticles, it is challenging to reconstruct the imag...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
Image reconstruction in magnetic particle imaging is a challenging task because the optimal image qu...
Accurately reconstruction functions with discontinuities is the key in many bio-imaging applications...
Accurate interpolation and approximation techniques for functions with discontinuities are key tools...
It is a common practice in multimodal medical imaging to undersample the anatomically-derived segmen...
Magnetic particle imaging (MPI) visualizes the spatial distribution of magnetic particles based on t...
The method of magnetic particle imaging has a limited field of view due to physiological constraints...
In magnetic particle imaging (MPI), image blurring and artifacts occur in a reconstructed image beca...
In this paper, we collect the basic theory and the most important applications of a novel technique ...
Magnetic Particle Imaging (mpi) is an emerging imaging modality with exceptional promise for clinica...
The conventional magnetic particle imaging reconstruction methods use observed signals and system fu...
Magnetic Particle Imaging (MPI) is an emerging imaging modality with potential clinical applications...
In this paper, we present recent solutions to the problem of approximating functions by polynomials ...
Magnetic particle imaging (MPI) is a rapidly evolving tomography modality. It has been proven to be ...
Due to the complex physical behavior of the nanoparticles, it is challenging to reconstruct the imag...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
Image reconstruction in magnetic particle imaging is a challenging task because the optimal image qu...
Accurately reconstruction functions with discontinuities is the key in many bio-imaging applications...
Accurate interpolation and approximation techniques for functions with discontinuities are key tools...
It is a common practice in multimodal medical imaging to undersample the anatomically-derived segmen...
Magnetic particle imaging (MPI) visualizes the spatial distribution of magnetic particles based on t...
The method of magnetic particle imaging has a limited field of view due to physiological constraints...
In magnetic particle imaging (MPI), image blurring and artifacts occur in a reconstructed image beca...
In this paper, we collect the basic theory and the most important applications of a novel technique ...
Magnetic Particle Imaging (mpi) is an emerging imaging modality with exceptional promise for clinica...
The conventional magnetic particle imaging reconstruction methods use observed signals and system fu...
Magnetic Particle Imaging (MPI) is an emerging imaging modality with potential clinical applications...
In this paper, we present recent solutions to the problem of approximating functions by polynomials ...
Magnetic particle imaging (MPI) is a rapidly evolving tomography modality. It has been proven to be ...
Due to the complex physical behavior of the nanoparticles, it is challenging to reconstruct the imag...
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of ...
Image reconstruction in magnetic particle imaging is a challenging task because the optimal image qu...