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.