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Abstract #2876

Automated Whole-Brain N-Acetylaspartate 1H MR Spectroscopic Quantification

Brian J. Soher 1 , William E Wu 2 , Ke Zhang 2 , James S Babb 2 , Assaf Tal 2 , and Oded Gonen 2

1 Radiology, Duke University Medical Center, Durham, NC, United States, 2 Radiology, New York University School of Medicine, NY, United States

An automated paradigm for operator independent fit of whole-head proton MR spectra is shown. The means (12.9 and 12.9 mM) and standard deviations (2.7 and 2.0 mM) for previously validated manual integration versus the new automated fitting method are not statistically different, validating the new approach against the previous paradigm which also provides quantitative metrics for fit quality. The utility of WBNAA to monitor diffuse neurological diseases through neuronal integrity in the entire brain is improved and the susceptibility to operator and baseline bias is removed, enhancing the usefulness of the approach to monitor global disease progression and treatment effects.

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