Osprey: Open-Source Processing, Reconstruction & Estimation of Magnetic Resonance Spectroscopy Data

Georg Oeltzschner Presenter
Johns Hopkins University
Department of Radiology and Radiological Science
Baltimore, MD 
United States
Software Demonstrations 
Modern magnetic resonance spectroscopy (MRS) data analysis requires elaborate preprocessing, interfacing with external fitting software, and tissue and relaxation corrections of the results obtained with the external software. Well-resourced labs frequently rely on in-house code for such tasks, but a widely used standardized pipeline is not available. Additionally, the default linear-combination modeling software is an expensive, closed-source, commercial product with limited on-going development. As a result, the entry threshold for new labs looking to apply MRS is high, the methods applied are heterogeneous and often poorly described in the literature, and the future is uncertain.

Here we describe a new MATLAB-based toolbox "Osprey" which streamlines all steps of state-of-the-art pre-processing, linear-combination modeling, tissue correction, quantification, and visualization of MRS data into a single environment. The Osprey framework is designed in a modular way to flexibly adopt new methods and encourage community contribution.