2018 JRNL PP John Maidens - 1.pdf?
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
We present a method of generating spatial
maps of kinetic parameters from dynamic sequences of
images collected in hyperpolarized carbon-13magnetic resonance
imaging (MRI) experiments. The technique exploits
spatial correlations in the dynamic traces via regularization
in the space of parameter maps. Similar techniques have
provensuccessfulin other dynamic imaging problems, such
as dynamic contrast enhanced MRI. In this paper, we apply
these techniques for the first time to hyperpolarized MRI
problems, which are particularly challenging due to limited
signal-to-noise ratio (SNR).We formulate the reconstruction
as an optimization problemand present an efficient iterative
algorithm for solving it based on the alternation direction
method of multipliers. We demonstrate that this technique
improves the qualitative appearance of parameter maps
estimated from low SNR dynamic image sequences, first
in simulation then on a number of data sets collected in
vivo. The improvement this method provides is particularly
pronounced at low SNR levels.