A Non-Uniform Fast Fourier Transform (NUFFT) based method for non-Cartesian k-space data reconstruction is
presented. For Cartesian K-space data, as we all know, image can be reconstructed using 2DFFT directly. But, as far as
know, this method has not been universally accepted nowadays because of its inevitable disadvantages. On the contrary,
non-Cartesian method is of the advantage over it, so we focused on the method usually. The most straightforward
approach for the reconstruction of non-Cartesian data is directly via a Fourier summation. However, the computational
complexity of the direct method is usually much greater than an approach that uses the efficient FFT. But the FFT
requires that data be sampled on a uniform Cartesian grid in K-space, and a NUFFT based method is of much
importance. Finally, experimental results which are compared with existing method are given.