Metadata-Version: 2.1 Name: Vespa-Suite Version: 1.0.1 Summary: Vespa is a suite of inter-connnected applications for magnetic resonance spectroscopy simulation and data analysis. Home-page: https://github.com/vespa-mrs/vespa/ Maintainer: Dr. Brian J. Soher Maintainer-email: bsoher@briansoher.com License: http://creativecommons.org/licenses/BSD/ Keywords: mri,mrs,pygamma,spectral simulation,rf pulses,magnetic resonance spectroscopy,fitting,time domain,frequency domain Platform: Linux Platform: OS X Platform: Windows Platform: POSIX Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Science/Research Classifier: Intended Audience :: Healthcare Industry Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Unix Classifier: Operating System :: POSIX :: Linux Classifier: Operating System :: Microsoft :: Windows Classifier: Programming Language :: Python :: 3.7 Requires-Dist: setuptools Vespa stands for "Versatile Simulation, Pulses and Analysis". The Vespa package is an integrated, open-source, platform for magnetic resonance spectroscopy (MRS) research and data analysis. Applications in the Vespa package include: Simulation - for spectral simulation (using the PyGAMMA/GAMMA library) Pulse - for RF pulse design and analysis DataSim - used to create synthetic MRS data sets from Simulation results Analysis - spectral data processing and analysis The Vespa project addresses previous software limitations, including: non-standard data access, closed source multiple language software that complicate algorithm extension and comparison, lack of integration between programs for sharing prior information, and incomplete or missing documentation and educational content. These applications can be run separately but communicate among themselves via a shared database of objects/results. One example of inter-application sharing might be that Simulation would make use of an RF pulse designed in Pulse application to create a more realistic MR simulation.