Abstract #2408

Continuous automated MRS data analysis workflow

Aaron T. Gudmundson^1,2, Helge J. Zöllner^1,2, Christopher W. Davies-Jenkins^1,2, Erik G. Lee^3,4, Timothy J. Hendrickson^3,4, Richard A. E. Edden^1,2, and Georg Oeltzschner^1,2

¹The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²Kennedy Krieger Institute, F. M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD, United States, ³Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States, ⁴Informatics Institute, University of Minnesota, Minneapolis, MN, United States

Synopsis

Keywords: Software Tools, Spectroscopy, AutomationLarge-scale application of magnetic resonance spectroscopy (MRS) is limited by demanding data processing and reliance on expert knowledge. We have developed an open-source continuous automated analysis workflow for MRS data, substantially reducing the effort for manual data analysis and quality control. This workflow is of particular interest for application-oriented non-expert users and large-scale multi-center multi-vendor MRS studies, and should substantially protect against loss of data from acquisition protocol errors.

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