Russell H. Morgan Department of Radiology and Radiological Science MIT Yes The Johns Hopkins University School of Medicine NITRC Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data MacOS, Windows, Linux MATLAB Christopher Davies-Jenkins Osprey is an all-in-one software suite for state-of-the art processing and quantitative analysis of in-vivo magnetic resonance spectroscopy (MRS) data. ### Features - 1-file job definition system for reproducible data analysis - Automated recognition of input file format and sequence origin - Fully-automated loading and pre-processing pipeline for optimal SNR, linewidth, phasing, and alignment - Integrated linear-combination modeling module - Full density-matrix simulated basis sets - Functions to create custom basis sets and import basis sets from LCModel or Tarquin - Integrated voxel co-registration and segmentation module (requires SPM12) - Quantification based on tissue fractions and (customizable) metabolite/tissue water relaxation times - GUI to display data, quality assessment, and quantitative results at each step of the analysis - Rich 'Overview' GUI panel for batched datasets to visualize distributions of metabolite estimates and mean +/- SD spectra 2022-3-25 Osprey v.2.0.0 (v.2.0.0) 2021-8-26 Osprey v1.1.0 (v1.1.0) 2021-7-09 Osprey v1.0.2.1 (v1.0.2.1) 2021-7-09 Osprey v1.0.2 (v1.0.2) 2021-4-05 Osprey v1.0.1.1 (v1.0.1.1) 2021-4-05 Osprey v1.0.1 (v1.0.1) 2021-3-12 Osprey v1.0.0 (v1.0.0) Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data Workflow, MR, End Users, Developers, MIT, English, MacOS, Windows, Linux, MATLAB, NIfTI-1, DICOM, Other Format http://www.nitrc.org/projects/osprey/, http://https://github.com/schorschinho/osprey cdavies9@jhmi.edu