interpolating data from an arbitrary 2D sampling pattern to a uniform grid

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Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI， this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction.The tar file includes numerous .m scripts， an

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In the field of Magnetic Resonance Imaging (MRI), gridding is a widely used method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. This process enables rapid image reconstruction, making it a crucial component of MRI technology.

There have been numerous publications on MR gridding reconstruction, which highlight the importance of this technique in the field. To implement gridding, the user will need to compile the MEX functions included in the tar file. This can be done in MATLAB by running the commands "mex gridlut_mex.c" and "mex calcdcflut_mex.c". These commands will result in the creation of files named gridlut_mex.mex??? and calcdcflut_mex.mex???, where ??? varies depending on the user's operating system.

Once the MEX functions have been compiled, the user can run the function spiralexample.m in MATLAB. This function will demonstrate the practical application of gridding in MRI by reconstructing an image from an arbitrary 2D sampling pattern. By using gridding, the user can achieve fast and accurate image reconstruction, enabling them to analyze MRI data more efficiently and effectively.