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Abstract #3792

Validation of Reduced View-sharing Compressed Sensing Reconstruction for DCE-MRI with Variable Flip Angle Acquisition

Evan Levine 1,2 , Bruce Daniel 2 , Brian Hargreaves 2 , and Manojkumar Saranathan 2

1 Electrical Engineering, Stanford University, Stanford, CA, United States, 2 Radiology, Stanford University, Stanford, CA, United States

To address the tradeoff of spatial and temporal resolution in dynamic contrast-enhanced MRI, schemes using pseudorandom trajectories and view-sharing (VS) have been proposed. Compressed sensing (CS) has shown promise to reduce VS and temporal footprint in these schemes. However, validating these techniques and determining a reduced temporal footprint is challenging without a ground truth. We present a novel approach that uses variable flip angle (VFA) acquisition and retrospectively applies sampling and CS/VS schemes to fully-sampled VFA data, allowing comparison with a ground truth in vivo. Results suggest that CS reconstruction with reduced VS data is a suitable alternative to VS.

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