Functional magnetic resonance imaging (fMRI) is an imaging modality widely used to study physiological processes. State estimation methods can be used to reconstruct fMRI images even from highly undersampled data. Using conventional radial sampling, however, can cause suboptimal results with state estimation methods. In this talk we present an alternative radial sampling method based on golden angle. This method allows for improved results compared to conventional radial sampling when using state estimation methods.

This presentation is part of Contributed Presentation “CP8 - Contributed session 8”

Authors:

Ville-Veikko Wettenhovi (University of Eastern Finland)

Keywords:

image reconstruction, inverse problems, statistical inverse estimation methods