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gridder

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Matlab package for interpolating (gridding) non-Cartesian MRI k-space data

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# The Gridder Package ## Introduction This is a package of tools for interpolating non-cartesian data points, each acquired at a known location in k-space, to a cartesian grid. This package contains several key components which are explained in the following sections. ### NPM This package uses the node package manager to manage its version control and dependencies. To use this package simply: 1. Install Node: https://nodejs.org/en/ 2. Run `npm install gridder` at a unix-like terminal. This will automatically download the files for this package (and the packages it depends on) into a `node_modules` folder. If you add this folder to your MATLAB path the package `Gridder` will be available. It is crucial to note the difference in naming conventions between MATLAB and NPM. The npm package name is `gridder` and the MATLAB package name is `+Gridder`. If you are new to MATLAB packages please learn more about them here: http://www.mathworks.com/help/matlab/matlab_oop/scoping-classes-with-packages.html. ### Tests To make sure this software works as expected in the present environment, tests have been provided and can be run by executing `Gridder.test`. These tests provide a very basic data-in data-out testing and it's these example data files that take up the bulk of the size of this repository. Since all test data is stored in +tests/private, the files in this folder should not be version controlled. You need to tell your local `git` to not track changes in them via `git update-index --assume-unchanged` as described here: http://stackoverflow.com/questions/12288212/git-update-index-assume-unchanged-on-directory. If you want to contribute to this project please keep tests in mind and do not commit any new data without telling git to "assume-unchanged" to avoid bloating the .git file. ### Docs In the `docs/` directory some markdown files are provided explaining how to use each of the functions and classes this package provides.