Accelerated 3D metabolite T1 mapping of the brain using variable-flip-angle SPICE

Yibo Zhao, Yudu Li, Rong Guo, Wen Jin, Brad Sutton, Chao Ma, Georges El Fakhri, Yao Li, Jie Luo, Zhi-Pei Liang

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)1310-1322
Number of pages13
JournalMagnetic Resonance in Medicine
Volume92
Issue number4
Early online dateJun 24 2024
DOIs
StatePublished - Oct 2024

Keywords

  • FID MRSI
  • low-rank tensor modeling
  • metabolite T mapping
  • variable flip angle

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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