Abstract #1880
Speeding up Dynamic Spiral Chemical Shift Imaging with Incoherent Sampling and Low-Rank Matrix Completion: Application in Hyperpolarized 13 C Metabolic Imaging
Stephen DeVience 1 and Dirk Mayer 1
1
Diagnostic Radiology, University of Maryland
School of Medicine, Baltimore, MD, United States
While hyperpolarized 13C metabolic imaging permits
real-time investigation of metabolism in vivo, it
requires fast acquisition schemes. We implemented an
iterative reconstruction algorithm based on low-rank
matrix completion that exploits spatiotemporal
correlations in incoherently undersampled, time-resolved
data. The algorithm was applied to both retro- and
prospectively undersampled dynamic spiral chemical shift
imaging (spCSI) data by pseudo-randomly omitting spatial
interleaves and the results were compared to
conventional reconstruction. The presented data
demonstrate that LRMC reconstruction in combination with
incoherent undersampling permits substantial reduction
in minimum acquisition time of dynamic spCSI without
significantly compromising image quality.
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