Abstract #4824

Reproducibility of Ultrafast High-Resolution MRSI at 3T Using SPICE

Yibo Zhao¹, Yudu Li^1,2,3, Wen Jin^1,4, Rong Guo^1,5, Brad Sutton^1,2,3, Ziyu Meng⁶, Bin Bo⁶, Yaoyu Zhang⁶, Wenqi Zhang⁶, Chang Xu⁶, Weijun Tang⁷, Yao Li⁶, and Zhi-Pei Liang^1,4

¹Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Champaign, IL, United States, ²Department of Bioengineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States, ³National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Champaign, IL, United States, ⁴Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States, ⁵Siemens Medical Solutions USA, Inc., St. Louis, MO, United States, ⁶School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ⁷Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

Synopsis

Keywords: Data Processing, Spectroscopy, Reproducibility

Motivation: Understanding the intra-session and inter-session reproducibility is essential for practical applications of MRSI, especially in longitudinal studies.

Goal(s): To evaluate the intra-session and inter-session reproducibility of SPICE for ultrafast high-resolution MRSI.

Approach: We recruited 10 subjects from 2 sites in a two-session two-repetition reproducibility study, with between-session interval 12 to 22 days. MRSI results were analyzed in 33 brain regions for both intra-session and inter-session reproducibility.

Results: Low intra-session and inter-session coefficients of variations (CVs) were obtained, with intra-session CVs slightly lower. ANOVA results indicated significant effects of the subject factor, but not the session and repetition factors.

Impact: This study demonstrated very good intra-session and inter-session reproducibility of SPICE. The results indicate that changes larger than the reported intra-session CVs (for cross-sectional studies) or inter-session CVs (for longitudinal studies) are likely attributable to biological metabolic alterations.

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