Abstract #0385

Ultrahigh-Resolution Metabolic Imaging at 9.4 Tesla

Fan Lam¹, Hanbing Lu², Yihong Yang², Bryan Clifford^1,3, Chao Ma¹, Gene E Robinson⁴, and Zhi-Pei Liang^1,3

¹Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ²Neuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD, United States, ³Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States

We present a multislice short-TE 1H-MRSI method to achieve fast, ultrahigh-resolution metabolic imaging of rats on a 9.4 Tesla animal scanner. The proposed method uses a subspace-based hybrid data acquisition strategy and a low-rank-model-based image reconstruction scheme. In vivo experiments have been performed to demonstrate the feasibility of the proposed method. We are able to produce high-SNR, spatially resolved metabolic profiles from the rat brain with 1x1x2mm³ nominal resolution in 16 minutes.

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