Abstract #3764

MRSDB: A Scalable Multisite Data Library for Clinical and Machine Learning Applications of Magnetic Resonance Spectroscopy

Sam H. Jiang¹, Eduardo Coello¹, Marcia S. Louis¹, Katherine M. Breedlove¹, and Alexander P. Lin¹

¹Center for Clinical Spectroscopy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States

This work introduces a mock standardized library of multisite magnetic resonance spectroscopy (MRS) data and functional online application called MRS Database (MRSDB) for the secure collection, processing, and sharing of that data. The goal of this platform is to enhance global collaboration, improve objective diagnostics in radiology, and facilitate the development of machine learning and artificial intelligence techniques using MRS.

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