This is a list of analysis and quantification software.
MRS DeIdentification Tools
MATLAB tools to remove protected health information (PHI) from magnetic resonance spectroscopy data.
|MRS DeIdentification Tools|
|Developer||Georg Oeltzschner, Mark Mikkelsen|
|Credit||Please credit the use of MRS DeIdentification Tools by citing https://www.biorxiv.org/content/10.1101/2020.02.12.944207v1|
Python module for processing the HTML files created by AMARES in jMRUI when saving the fit results for a series of spectra with the ‘publish all’ command.
|Developer||Ronald Ouwerkerk, NIDDK/NIH, Bethesda MD, USA|
|Credit||If you would be so kind to acknowledge me as the source of this software when you use it for a publication it will be much appreciated.|
VDI (Visual Display Interface) is a collection of MATLAB libraries created to visualize and process multiresolution data, such as MRS, MRSI, fMRI and anatomical MRI. An additional sub-library called SpinTool (independently available for download) can be used to easily and quickly write Bloch simulations and simulations of J-coupled spins.
|Credit||Please cite the software package using the APS style or equivalent (Tal, A (2020). Visual Display Interface (VDI) [Computer Software]. Retrieved from http://www.vdisoftware.net)|
Water and lipid signal removal in MRSI by L2 regularization
|Credit||Please cite the publication mentioned below if you use Wat_Lip_Removal_L2.|
The FID Appliance (FID-A) is an open-source software package for simulation of MRS experiments, design and analysis of radiofrequency (RF) pulses, and processing of MRS data.
FSL-MRS is a collection of python modules and wrapper scripts for pre-processing and model fitting of Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) data.
|Developer||William Clarke and Saad Jbabdi|
|License||FSL License https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Licence|
|Credit||If you use FSL-MRS in your research please cite the publication below.|
Open-source, MATLAB-based software for automated data processing and quantification of edited magnetic resonance spectroscopy (MRS) data.
|Developer||Richard Edden, Mark Mikkelsen, Georg Oeltzschner, Sofie Tapper, Muhammad Saleh, C. John Evans, Ashley Harris, Nicolaas Puts|
|Credit||Should you publish material that made use of Gannet, please cite the publications listed under https://github.com/richardedden/gannet3.1#license.|
Toolbox to process, analyse and visualize MRS data.
|License||Closed-source, limited-term academic license|
IRIS-MRS-AI: Machine learning powered data analysis tool. IRIS-MRS-AI has 2 parts; i-Built-in models for classifying IDH and TERTp mutations in gliomas using 1H- MRS/MS data. ii- Users can create their own models using their own data (independent from the field).
|Credit||Please cite the following publication if you use IRIS-MRS-AI: Bas A, Sacli-Bilmez B, Hatay GH, Ozcan A, Levi C, Danyeli AE, Can O, Yakicier C, Pamir MN, Ozduman K, Dincer A, Ozturk-Isik E. Glioma Genetic Diagnosis Software for Detection of IDH and TERTp Mutations based on 1H MR Spectroscopy and Mass Spectrometry. International Society for Magnetic Resonance in Medicine. Vancouver, Canada May 15-20, 2021 (Digital Poster)|
jMRUI is a software package for advanced time-domain analysis of magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) data.
|Developer||MRUI consortium (http://www.jmrui.eu/about/coordinator-developers/)|
|License||Closed-source proprietary free for non-commercial use (http://www.jmrui.eu/license-and-download/jmrui-license/)|
The MIDAS software consists of several modules for MRSI reconstruction, display, and analysis. It is closely associated with the volumetric EPSI sequence that we make available for Siemens MR systems. MIDAS is written in IDL, but also uses Java and C functions. It can be run using a free IDL license (with some limitations). A binary installation can be obtained from the web site and all source code is available from the developers on request.
|Credit||There are two main reports that describe the MIDAS software: - AA Maudsley, C Domenig, V Govindaraju, A Darkazanli, C Studholme, K Arheart, and C Bloomer. Mapping of brain metabolite distributions by volumetric proton MRSI. Magn. Reson. Med. 61: 548-559 (2009). - M Sabati, S Sheriff, M Gu, J Wei, H Zhu, PB Barker, DM Spielman, JR Alger, AA Maudsley. Multi-Vendor Implementation and Comparison of Volumetric Whole-Brain Echo-Planar MR Spectroscopic Imaging. Magn. Reson. Med., 74(5):1209-20 (2014).|
Magnetic Resonance spectral processing and analysis (MRspa) is a spectral post-processing and analysis package that runs under MATLAB.
ORYX-MRSI: A data analysis software for multi-slice 1H-MRSI
|Credit||Please cite the following publication if you use Oryx-MRSI: Cengiz S, Yildirim M, Bas A, Ozturk-Isik E. ORYX-MRSI: A data analysis software for multi-slice 1H-MRSI. International Society for Magnetic Resonance in Medicine. Virtual Meeting, May 15-20, 2021 (Digital Poster)|
Osprey is an all-in-one open-source software suite for state-of-the art processing, quantitative analysis, and visualization of in-vivo magnetic resonance spectroscopy (MRS) data.
|Developer||Georg Oeltzschner, Helge J Zöllner, Richard AE Edden|
|Credit||Should you publish material that made use of Osprey, please cite the publication below.|
Open-source library with functions for processing and fitting MRS data.
|Developer||Lucian Purvis, Christopher Rodgers|
|License||Non-commercial use, https://github.com/OXSAtoolbox/OXSA/blob/master/LICENSE.txt|
|Credit||If you use this software in an academic publication, please reference the publications mentioned under https://github.com/OXSAtoolbox/OXSA#oxsa-oxford-spectroscopy-analysis-toolbox.|
PASTIS can be used to process and quantify single-voxel MRS data. It can also simulate data using various sequences, B0 fields and nuclei. It was originally developed to reconstruct, process and quantify spinal cord MRS data at 7T. PASTIS relies a lot on the suspect package.
|Credit||Please cite the publication mentioned below if you use PASTIS.|
A python port of the Matlab mapVBVD tool for reading Siemens Twix files.
|Credit||No credit is required for the use of this code.|
A collection of algorithms and general code tools (GUI, I/O etc.) for use with MRS research.
|Developer||Brian J. Soher|
|Credit||BSD license, byproducts of the Vespa Versatile Simulation Pulses and Analysis project for MRS research at https://scion.duhs.duke.edu/vespa/project|
QMRITools is written in Mathematica using Wolfram Workbench and Eclipse and contains a collection of tools and functions for processing quantitative MRI data. The software tools for spectroscopy are mostly focussed on 31P CSI analysis but do not exclude other nuclei and/or acquistion methods. The basic features include methods for manipulating and processing spectra (including PCA denoising and deconvolution), generation of basis spectra using j-coupling simulations and fitting of basis spectra to the spectra.
|Developer||Martijn Froeling, PhD|
|Credit||Please cite the publication mentioned below if you use QMRITools. A publication on the spectro specific tools is in preparation.|
SIVIC is an open-source, standards-based software framework and application suite for processing and visualizing DICOM MR Spectroscopy data.
|Developer||Nelson Lab, UCSF|
The Stanford CNI MRS Library (SMAL) provides algorithms and methods to read and analyze data from Magnetic Resonance Spectroscopy (MRS) experiments. It provides an API for fitting models of the spectral line-widths of several different molecular species, and quantify their relative abundance in human brain tissue
|Developer||Ariel Rokem, PhD|
spant (Spectroscopy Analysis Tools) provides a full suite of tools to build automated analysis pipelines for Magnetic Resonance Spectroscopy (MRS) data.
Open-source GUI to process and fit MRS data.
The open source Vespa suite contains four magnetic resonance (MR) spectroscopy software applications: RFPulse (for RF pulse design), Simulation (for spectral simulation), DataSim (for creating synthetic MRS data) and Analysis (for spectral data processing and analysis).
|Developer||Brian J. Soher|
|Credit||Please reference the following publication if you use this software: Soher BJ et.al. Vespa: Integrated applications for RF pulse design, spectral simulation and MRS data analysis. 19th Meeting ISMRM, Montreal 2011|