Abstract #3719
Accelerated MRSI Using Randomly Undersampled Spiral-Based k-Space Trajectories
Itthi Chatnuntawech 1 , Borjan Gagoski 2 , Berkin Bilgic 3 , Stephen Cauley 3 , Ellen Grant 2 , Kawin Setsompop 3,4 , and Elfar Adalsteinsson 1,5
1
MIT, Cambridge, MA, United States,
2
Fetal-Neonatal
Neuroimaging & Developmental Science Center, MA, United
States,
3
A.
A. Martinos Center for Biomedical Imaging, MA, United
States,
4
Harvard
Medical School, MA, United States,
5
Harvard-MIT
Health Sciences and Technology, Institute of Medical
Engineering & Science, MA, United States
In this work, an acquisition-reconstruction method
(named random SENSE+TV) to accelerate MRSI acquisition
through undersampling of spectral-spatial k-space data,
while maintaining acceptable reconstruction quality as
measured by a normalized root-mean-square error (RMSE)
of the reconstructed metabolite maps is proposed. Random
SENSE+TV uses spiral trajectories with different radii
to randomly undersample the data in (kx, ky, kf) space,
which leads to less-structured artifacts, and recovers
the underlying data using the sensitivity encoding
technique (SENSE) with a total variation (TV)
regularization.
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