Abstract #4082
Importance of linear-combination modeling for quantification of GABA and glutathione levels using Hadamard-edited MRS
Yulu song1,2, Helge J. Zöllner 1,2, Steve C.N. Hui1,2, Georg Oeltzschner1,2, James J. Prisciandaro3, and Richard A.E. Edden1,2
1Russell H Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Center for Biomedical Imaging, Medical University of SC, Charleston, SC, United States
Synopsis
There are two main approaches for modeling edited spectra: simple Gaussian modeling, and linear-combination modeling based on simulated metabolite basis functions. The simple Gaussian modeling of GSH in Gannet was reported to be less reproducible for HERMES than for MEGA-PRESS. Recent consensus recommended linear-combination modeling for quantification of edited MRS. Here we compared the performance of simple Gaussian and linear-combination modeling on a test-retest dataset to display the improvement of the reproducibility of metabolite quantification with HERMES.
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