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