Abstract #3792
Compensating for Metabolite Dynamics in 13C Chemical Shift Separation
Elena Nasonova 1 , Markus Durst 2,3 , Concetta Gringeri 3 , Eliane V. Farrell 4 , Michael Friebe 1 , Axel Haase 2 , Markus Schwaiger 4 , and Rolf F. Schulte 3
1
Chair of Computer Aided Medical Procedures,
TU Mnchen, Munich, Germany,
2
Zentralinstitut
fr Medizintechnik (IMETUM), Munich, Germany,
3
GE
Global Research, Munich, Germany,
4
Department
for Nuclear Medicine, TU Mnchen, Munich, Germany
Iterative decomposition of water and fat with echo
asymmetry and least-squares estimation (IDEAL) is a fast
and efficient method for separation of 13C species.
However, the underlying least squares chemical shift
imaging (LSCSI) technique makes use of assumption of
constant signal contributions from metabolites within
several acquisitions and, therefore, is not consistent
with the fast-changing metabolic signal. We attempted to
compensate this non-valid assumption in our method. It
uses time-dependent correcting factors, obtained from
the computed metabolic time courses and inserted into a
spectral encoding matrix. Resulting images are then
obtained by conventional inversion of this modified
matrix and gridding reconstruction.
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