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.
De Marchi, S., Erb, W., Francomano, E., Marchetti, F., Perracchione, E., & Poggiali, D. (2020). Fake Nodes approximation for Magnetic Particle Imaging. In 20th Mediterranean Electrotechnical Conference ( MELECON) (pp. 434-438) [10.1109/MELECON48756.2020.9140583].
Fake Nodes approximation for Magnetic Particle Imaging
Francomano, Elisa;
2020
Abstract
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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
09140583_francomano.pdf
non disponibili
Tipologia:
Versione Editoriale
Dimensione
1.61 MB
Formato
Adobe PDF
|
1.61 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
