{ "info": { "author": "Stefano Pedemonte", "author_email": "spedemonte@mgh.harvard.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Other Environment", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Medical Science Apps." ], "description": "=========\nNiftyPy\n=========\n\nRegistration, segmentation, tomographic reconstruction. \nPython wrapper of NiftyRec, NiftyReg and NiftySeg. \n\nTypical usage looks like this:\n\n#!/usr/bin/env python\nfrom NiftyPy import NiftyRec\n\n\n... more documentation is required, for now look at how this package is utilized in occiput.io\nWhile NiftyPy is just a Python wrapper of the NiftyRec, NiftyReg and NiftySeg libraries, occiput.io provides a high level interface for tomographic reconstruction (SPECT, PET, CT) and for other imaging tasks. It\u2019s easies, with occiput.io, to define the system geometry and reconstruct with iterative algorithms. \n\n\nInstallation\n============\n\nLinux, MacOsX, Win\n------------------\n\nThere are two ways to install under Linux and MacOsX and Windows: \n\n1. 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