Abstract
Purpose: To develop a practical method to enable 3D T 1 mapping of brain metabolites. Theory and Methods: Due to the high dimensionality of the imaging problem underlying metabolite T 1 mapping, measurement of metabolite T 1 values has been currently limited to a single voxel or slice. This work achieved 3D metabolite T 1 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 1 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 1 maps could be obtained and used for correction of T 1 saturation effects. In vivo experimental results showed metabolite T 1 maps with a large spatial coverage of 240 × 240 × 72 mm 3 and good reproducibility coefficients (< 11%) in a 14.5-min scan. The metabolite T 1 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 1 mapping within a clinically acceptable scan time. The proposed method may prove useful for both T 1 mapping of brain metabolites and correcting the T 1-weighting effects in quantitative metabolic imaging.
Original language | English (US) |
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Pages (from-to) | 1310-1322 |
Number of pages | 13 |
Journal | Magnetic Resonance in Medicine |
Volume | 92 |
Issue number | 4 |
Early online date | Jun 24 2024 |
DOIs | |
State | Published - Oct 2024 |
Keywords
- FID MRSI
- low-rank tensor modeling
- metabolite T mapping
- variable flip angle
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging