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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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