Simultaneous metabolic and functional imaging of the brain using SPICE.

Rong Guo, Yibo Zhao, Yudu Li, Yao Li, Zhi-Pei Liang

Journal: Magnetic resonance in medicine 2020;82(6):1993-2002

PMID: 31294487

Abstract

PURPOSE

To enable simultaneous high-resolution mapping of brain function and metabolism.

METHODS

An encoding scheme was designed for interleaved acquisition of functional MRI (fMRI) data in echo volume imaging trajectories and MR spectroscopic imaging (MRSI) data in echo-planar spectroscopic imaging trajectories. The scheme eliminates water and lipid suppression and utilizes free induction decay signals to encode both functional and metabolic information with ultrashort TE, short TR, and sparse sampling of -space. A subspace-based image reconstruction method was introduced for processing both the fMRI and MRSI data. The complementary information in the fMRI and MRSI data sets was also utilized to improve image reconstruction in the presence of intrascan head motion, field drift, and tissue susceptibility changes.

RESULTS

In-vivo experimental results were obtained from healthy human subjects in resting-state fMRI/MRSI experiments. In these experiments, the proposed method was able to simultaneously acquire metabolic and functional information from the brain in high resolution. For scans of 6.5 minutes, we achieved 3.0 × 3.0 × 1.8 mm spatial resolution for fMRI, 1.9 × 2.5 × 3.0 mm nominal spatial resolution for MRSI, and 1.9 × 1.9 × 1.8 mm nominal spatial resolution for quantitative susceptibility maps.

CONCLUSION

This work demonstrates the feasibility of simultaneous high-resolution mapping of brain function and metabolism with improved spatial resolution and synergistic image reconstruction.

© 2019 International Society for Magnetic Resonance in Medicine.

Address: Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois.; Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
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