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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