1Yale Child Study Center, Yale
University School of Medicine, New Haven, CT, United States; 2Radiology,
Brigham and Women's Hospital, Boston, MA, United States; 3Alcor
Consulting, Inc., Fremont, CA, United States; 4Radiology, Keck
School of Medicine of USC, Los Angeles, CA, United States; 5Huntington
Medical Research Institutes, Pasadena, CA, United States
1H
MRS data analysis research traditionally emphasizes novel and powerful, but
complex, methods for quantifying spectroscopic data, creating barriers for
less technical users. At the other
extreme, many everyday users of MRS simply adopt manufacturers standards for
data processing, resulting in widespread incompatibilities in
cross-institutional comparability.
Here, we emphasize the critical need for usability in MRS data processing
and present an open-source platform which is intuitive, easy-to-use, yet
complete, flexible, and powerful. We
show that in vitro and in vivo variability is low, and suggest that this
platform may serve to provide accessible, widespread, and consistent MRS data
processing.
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