2017 JRNL PP Florian Knoll - 1.pdf
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Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
While current state of the art MR-PET scanners
enable simultaneous MR and PET measurements, the
acquired data sets are still usually reconstructed separately.
We propose a new multi-modality reconstruction framework
using second order Total Generalized Variation (TGV)
as a dedicated multi-channel regularization functional that
jointly reconstructs images from both modalities. In this
way, information about the underlying anatomy is shared
during the image reconstruction process while unique differences
are preserved.Results from numerical simulations
and in-vivo experiments using a range of accelerated MR
acquisitions and different MR image contrasts demonstrate
improved PET image quality, resolution, and quantitative
accuracy.