Joint MR-PET PET Reconstruction Using a Multi Multi-Channel Channel Image Regularizer
Abstract: While current state of the art MR MR-PET PET scanners enable simultaneous MR and PET measurements, the acquired data sets are still usually reconstructed separately. We propose a new multi-modality modality reconstruction framework using second order Total Generalized Variation (TGV) as a dedicated multi multi-channel channel regularization functional that jointly reconstructs images from both modalities. In this way, information about the underlying anatom anatomyy is shared during the image reconstruction process while unique differences are preserved. Results from numerical simulations and in in-vivo vivo experiments using a range of accelerated MR acquisitions and different MR image contrasts demonstrate improved PET image im quality, resolution, and quantitative accuracy.