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Abstract #5056

SUPER: a novel acquisition and reconstruction strategy for improved efficiency and resolution in parameter mapping

Chenxi Hu1 and Dana Peters1

1Yale University, New Haven, CT, United States

Standard parameter mapping methods such as T1 and T2 mapping suffer from long scan time and low resolution due to the need to sample multiple images along the relaxation curve. Here we propose a novel acquisition and reconstruction strategy to improve efficiency by undersampling each k-space frame in the phase-encoding direction. By shifting the undersampling pattern circularly in each time frame, the relaxation signal at spatially distinct voxels is modulated and combined into a single signal, which can be used to reconstruct the parameters by solving a small-size nonlinear equation. This technique is especially suitable for applications where multiple TIs or TEs are needed, and can improve either resolution or acquisition time.

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