Simultaneous iterative reconstruction technique software for spectral–spatial EPR imaging

Abstract

Continuous wave electron paramagnetic resonance imaging (EPRI) experiments often suffer from low signal to noise ratio. The increase in spectrometer time required to acquire data of sufficient quality to allow further analysis can be counteracted in part by more processing effort during the image reconstruction step. We suggest a simultaneous iterative reconstruction algorithm (SIRT) for reconstruction of continuous wave EPRI experimental data as an alternative to the widely applied filtered back projection algorithm (FBP). We show experimental and numerical test data of 2d spatial images and spectral–spatial images. We find that for low signal to noise ratio and spectral–spatial images that are limited by the maximum magnetic field gradient strength SIRT is more suitable than FBP.