Accelerated 3D metabolite T mapping of the brain using variable-flip-angle SPICE.

PURPOSE

To develop a practical method to enable 3D T mapping of brain metabolites.

THEORY AND METHODS

Due to the high dimensionality of the imaging problem underlying metabolite T mapping, measurement of metabolite T values has been currently limited to a single voxel or slice. This work achieved 3D metabolite T mapping by leveraging a recent ultrafast MRSI technique called SPICE (spectroscopic imaging by exploiting spatiospectral correlation). The Ernst-angle FID MRSI data acquisition used in SPICE was extended to variable flip angles, with variable-density sparse sampling for efficient encoding of metabolite T information. In data processing, a novel generalized series model was used to remove water and subcutaneous lipid signals; a low-rank tensor model with prelearned subspaces was used to reconstruct the variable-flip-angle metabolite signals jointly from the noisy data.

RESULTS

The proposed method was evaluated using both phantom and healthy subject data. Phantom experimental results demonstrated that high-quality 3D metabolite T maps could be obtained and used for correction of T saturation effects. In vivo experimental results showed metabolite T maps with a large spatial coverage of 240 × 240 × 72 mm and good reproducibility coefficients (< 11%) in a 14.5-min scan. The metabolite T times obtained ranged from 0.99 to 1.44 s in gray matter and from 1.00 to 1.35 s in white matter.

CONCLUSION

We successfully demonstrated the feasibility of 3D metabolite T mapping within a clinically acceptable scan time. The proposed method may prove useful for both T mapping of brain metabolites and correcting the T-weighting effects in quantitative metabolic imaging.