Analysis & Quantification Software
This is a list of analysis and quantification software.
Assessment of measurement precision in single-voxel spectroscopy at 7 T
Code from the Paper: Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo, Magn. Reson. Med. 87:1119-1135 (2022); DOI 10.1002/mrm.29034
| Assessment of measurement precision in single-voxel spectroscopy at 7 T | |
|---|---|
| Developer | Layla Tabea Riemann, M.Sc. (Physikalisch-Technische Bundesanstalt, PTB) |
| Language | Python, R |
| License | CC BY-NC-SA 4.0 |
| Credit | Please cite the following publication if you use this code: L.T.Riemann, C.S.Aigner, S.L.R.Ellison, R.Brühl, R.Mekle, S.Schmitter, O.Speck, G.Rose, B.Ittermann, A.Fillmer; Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo, Magn. Reson. Med. 87:1119-1135 (2022) |
CloudBrain-MRS
CloudBrain-MRS is a cloud-based computational platform for MRS data. The platform deploys the mainstream quantification tool LCModel and advanced deep learning denoising and quantification algorithms. The platform has been developed with a module for the statistical analysis of biomarkers. Users can batch preprocess and quantitative analysis MRS data with only one browser. The platform has been developed with a range of visualization techniques to provide a user-friendly interface.
| CloudBrain-MRS | |
|---|---|
| Developer | Jiayu Li, Xiaodie Chen, Dicheng Chen, Yirong Zhou, Zhangren Tu, Meijin Lin, Xiaobo Qu |
| Language | Python, JavaScript |
| License | BSD3 |
| Credit | Please reference the following publication if you use CloudBrain-MRS: X. Chen et al., “CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis,” arXiv:2306.11021, 2023. D. Chen et al., “Magnetic resonance spectroscopy deep learning denoising using few in vivo data,” IEEE Trans. Comput. Imaging, vol. 9, pp. 448-458, 2023. D. Chen et al., “Magnetic resonance spectroscopy quantification aided by deep estimations of imperfection factors and overall macromolecular signal,” arXiv:2306.09681, 2023. |
Wat_Lip_Removal_L2
Water and lipid signal removal in MRSI by L2 regularization
| Wat_Lip_Removal_L2 | |
|---|---|
| Developer | Liangjie Lin |
| Language | MATLAB |
| License | BSD3 |
| Credit | Please cite the publication mentioned below if you use Wat_Lip_Removal_L2. |
FID-A
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.
| FID-A | |
|---|---|
| Developer | Jamie Near |
| Language | MATLAB |
| License | open-source |
| Credit | |
FSL-MRS
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.
| FSL-MRS | |
|---|---|
| Developer | William Clarke and Saad Jbabdi |
| Language | Python |
| 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. |
Gannet
Open-source, MATLAB-based software for automated data processing and quantification of edited magnetic resonance spectroscopy (MRS) data.
| Gannet | |
|---|---|
| Developer | Richard Edden, Mark Mikkelsen, Georg Oeltzschner, Sofie Tapper, Muhammad Saleh, C. John Evans, Ashley Harris, Nicolaas Puts |
| Language | MATLAB |
| License | open-source |
| Credit | Should you publish material that made use of Gannet, please cite the publications listed under https://github.com/richardedden/gannet3.1#license. |
INSPECTOR
Toolbox to process, analyse and visualize MRS data.
| INSPECTOR | |
|---|---|
| Developer | Christoph Juchem |
| Language | MATLAB |
| License | Closed-source, limited-term academic license |
| Credit | |
IRIS-MRS-AI
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).
| IRIS-MRS-AI | |
|---|---|
| Developer | Abdullah BAŞ |
| Language | MATLAB |
| License | MIT |
| 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
jMRUI is a software package for advanced time-domain analysis of magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) data.
| jMRUI | |
|---|---|
| Developer | MRUI consortium (http://www.jmrui.eu/about/coordinator-developers/) |
| Language | Java |
| License | Closed-source proprietary free for non-commercial use (http://www.jmrui.eu/license-and-download/jmrui-license/) |
| Credit | |
LCModel
Automatic quantification of in vivo proton MR spectra.
| LCModel | |
|---|---|
| Developer | Stephen Provencher |
| Language | Fortran (compiled) |
| License | Commercial product (http://lcmodel.ca/lcm-license.shtml) |
| Credit | |
MRSpa
Magnetic Resonance spectral processing and analysis (MRspa) is a spectral post-processing and analysis package that runs under MATLAB.
| MRSpa | |
|---|---|
| Developer | Dinesh Deelchand |
| Language | MATLAB |
| License | closed-source |
| Credit | |
Oryx-MRSI
ORYX-MRSI: A data analysis software for multi-slice 1H-MRSI
| Oryx-MRSI | |
|---|---|
| Developer | Sevim Cengiz |
| Language | MATLAB |
| License | MIT |
| 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
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.
| Osprey | |
|---|---|
| Developer | Georg Oeltzschner, Helge J Zöllner, Richard AE Edden |
| Language | MATLAB |
| License | MIT |
| Credit | Should you publish material that made use of Osprey, please cite the publication below. |
OXSA
Open-source library with functions for processing and fitting MRS data.
| OXSA | |
|---|---|
| Developer | Lucian Purvis, Christopher Rodgers |
| Language | MATLAB |
| 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
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.
| PASTIS | |
|---|---|
| Developer | Tangi Roussel |
| Language | Python 3 |
| License | BSD-3 |
| Credit | Please cite the publication mentioned below if you use PASTIS. |
QMRITools
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.
| QMRITools | |
|---|---|
| Developer | Martijn Froeling, PhD |
| Language | Mathematica |
| License | BSD-3 |
| Credit | Please cite the publication mentioned below if you use QMRITools. A publication on the spectro specific tools is in preparation. |
Author Website Publication Publication 2 Publication 3
SIVIC
SIVIC is an open-source, standards-based software framework and application suite for processing and visualizing DICOM MR Spectroscopy data.
| SIVIC | |
|---|---|
| Developer | Nelson Lab, UCSF |
| Language | C++ |
| License | Open-source, https://github.com/SIVICLab/sivic/blob/master/LICENSE |
| Credit | |
SMAL
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
| SMAL | |
|---|---|
| Developer | Ariel Rokem, PhD |
| Language | Python |
| License | BSD3 |
| Credit | |
spant
spant (Spectroscopy Analysis Tools) provides a full suite of tools to build automated analysis pipelines for Magnetic Resonance Spectroscopy (MRS) data.
| spant | |
|---|---|
| Developer | Martin Wilson |
| Language | R |
| License | Open-source |
| Credit | |
Tarquin
Open-source GUI to process and fit MRS data.
| Tarquin | |
|---|---|
| Developer | Martin Wilson |
| Language | C++ |
| License | GPL |
| Credit | |
Vespa
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).
| Vespa | |
|---|---|
| Developer | Brian J. Soher |
| Language | Python |
| License | BSD-3 |
| 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 |