Keywords: Image Reconstruction, Brain
Motivation: Acquiring multiple inversion contrasts in a single scan allows for comprehensive analysis of brain microstructure. However, the scan duration of a fully sampled MPnRAGE sequence is clinically infeasible.
Goal(s): Proving the potential for a more efficient MPnRAGE acquisition.
Approach: We assess the sparsity of MPnRAGE in the TI-space with data-driven subspace compression of a fully sampled Cartesian MPnRAGE acquisition with 10 TIs. We evaluate the feasibility of prospectively accelerated acquisitions using dictionary-based compressions.
Results: Data-driven subspace compression with two temporal basis yields images comparable to reconstructed fully sampled MPnRAGE images. Dictionary-based subspace compression requires three temporal basis for a similar quality.
Impact: We demonstrate the potential for an accelerated MPnRAGE acquisition by leveraging the sparsity in the TI-space. Rapid acquisition of different inversion contrasts will allow to analyze microstructure in a clinical context e.g. for the early detection of neurodegenerative diseases.
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