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Abstract #4470

Repeatability and reproducibility of metabolite T2 estimates assessed with 1D and 2D models

Christopher William Davies-Jenkins1, Dunja Simicic1, Seyma Alcicek1,2, Saipavitra Murali-Manohar1, Yulu Song1, Richard A. E. Edden1, Helge J Zöllner1, and Georg Oeltzschner1
1Johns Hopkins Medicine, Baltimore, MD, United States, 2Institute of Neuroradiology, University Hospital Frankfurt, Frankfurt, Germany

Synopsis

Keywords: Relaxometry, Spectroscopy, Transverse relaxation; MRS; sLASER; 2D modeling

Motivation: Metabolite T2 estimations are critical for quantifying concentrations and may provide biomarkers in their own right. No studies have characterized their reliability.

Goal(s): To establish test-retest repeatability and reproducibility of T2 estimation and investigate whether multi-spectrum modeling improves them.

Approach: We acquired repeated acquisitions of multi-TE sLASER—two sessions with two back-to-back repeats per session—in the CSO and PCC. Then we estimated metabolite T2s using 1D and 2D modeling approaches.

Results: Within- and between-session reproducibility of major-metabolite (tNAA, tCr, tCho) T2s were below 5% for 1D models. T2 estimates from multi-spectrum models deviated somewhat but were largely comparable.

Impact: This study of metabolite T2 reproducibility is the first of its kind and suggests metabolite T2 estimates are highly reproducible. Our early implementation of the 2D multi-TE model proved promising with scope for further development.

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Keywords