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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