2832
Linear-combination modeling of GABA-edited MEGA-PRESS at 3T: Evaluating different modeling strategies
Helge Jörn Zöllner1,2, Sofie Tapper1,2, Steve C. N. Hui1,2, Peter B. Barker1,2, Richard A. E. Edden1,2, and Georg Oeltzschner1,2
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
This study investigates various modeling strategies for quantifying GABA-edited spectra using LCM. Fit residuals and CV distributions of GABA+/tCr imply that a dedicated basis function for co-edited 3 ppm signals is favorable.
(A) Distribution of the GABA+/tCr. Boxplot, smoothed distribution, and mean +- SD for all MM3co models (color-coded) and knot spacings. The coefficient of variation (SD/mean x 100) is depicted in the second row. (B) Summary of the CV analysis with the five key findings.
A) Co-edited MM3co model implementations – Overview of the six model implementations based on the 3 ppm co-edited MM basis function MM3co (B) Combinations of modeling strategies – Overview of the possible combinations of fit range, spline knot spacing ,and MM3co model.