Abstract #2489
A low-cost flexible non-linear parallelized MR image reconstruction system
Fei Han 1 , Ziwu Zhou 1 , Kyunghyun Sung 1 , J Paul Finn 1 , and Peng Hu 1
1
Radiology, David Geffen School of Medicine
at UCLA, Los Angeles, CA, United States
Despite tremendous recent advances in non-linear image
reconstruction methods, their clinical utility has been
significantly held back by the limited computational
power and development flexibility provided by the MRI
system manufacturer. We developed a MR image
reconstruction framework in which any custom made
algorithms can be implemented on custom built computer
nodes connected to the MR scanner such that k-space data
is sent to the nodes for calculation and reconstructed
images are sent back to the scanner system as part of
the default pipeline. In this work, we demonstrate the
benefit of this framework on 12 pediatric congenital
heart disease patients who underwent cardiac MRI using a
highly accelerated 4D cardiac phase-resolved
contrast-enhanced MRA sequence.
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