Application-Specific Compressed Sensing for Improved Spatial and Temporal Resolution of Intracranial CE MRA

A novel application-specific reconstruction approach is proposed for accelerated intracranial time-resolved contrast-enhanced MR angiography. The proposed model-based compressed sensing (CS) technique utilizes a gamma-variate based model of contrast bolus propagation to constrain the reconstruction. The use of robust L1 norm allows to reconstruct abnormal dynamics not accounted for by the model. The proposed technique was initially validated in phantom simulations and in-vivo data and shown to improve spatial resolution compared to parallel imaging and general CS, while maintaining temporal fidelity.

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