International Journal on Magnetic Particle Imaging
Vol 6 No 2 Suppl. 1 (2020)

Proceedings Articles

Parameter Robustness Analysis for System Function Reconstruction

Main Article Content

Abdullah Ömer Arol (Department of Electrical and Electronics Engineering, Bilkent University), Ali Alper Ozalsan , Emine Ulku Saritas 


The quality of images in system function reconstruction (SFR) depends on an extensive calibration scan that acquires the system matrix (SM). A change in parameters of the scanner, trajectory, or magnetic nanoparticle requires the acquisition of a new SM. In this work, we analyze the parameter robustness of SFR with simulations. We investigate the effect of utilizing an existing SM in the case of a change in the aforementioned parameters. The results show that a new calibration scan is not needed, as long as the change is sufficiently small.
Int. J. Mag. Part. Imag. 6(2), Suppl. 1, 2020, Article ID: 2009045, DOI: 10.18416/IJMPI.2020.2009045

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