Abstract #2457
Acquisition and Reconstruction Effects on Image Quality in Variable-Density Sparse MRI
Dimitris Mitsouras 1 , Onur Afacan 2 , Robert V Mulkern 3 , and Dana H Brooks 4
1
Radiology, BWH/Harvard Medical School,
Boston, MA, United States,
2
Children's
Hospital Boston, MA, United States,
3
Childrens'
Hospital Boston, MA, United States,
4
Northeastern
University, Boston, MA, United States
We systematically compared undersampled variable density
sampling schemes in conjunction with linear and
compressed sensing (CS) reconstruction methods.
Simulated and experimental results showed trajectory
choice had minimal effect on carefully-defined SNR and
RMSE metrics compared to reconstruction method, and that
while CS outperformed linear reconstruction, there is
tradeoff in terms of noise-driven uncertainty of
individual image values that is spatially related to the
transform domain chosen. The CS transform domain and
reconstruction parameter selection is likely important
to avoid uncertainty in clinically-relevant image
features; for example, minimum-L1 reconstruction should
be avoided when signal hyper-intensities in homogenous
hypo-intense backgrounds are relevant.
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