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Non-uniform MR image reconstruction based on non-uniform FFT

机译:基于非均匀FFT的非均匀MR图像重建

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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.
机译:呈现了基于非笛卡尔k空间数据重建的非均匀快速傅立叶变换(NUFFT)方法。 对于笛卡尔k空间数据,众所周知,可以直接使用2dfft重建图像。 但是,如同知道,由于其不可避免的缺点,这种方法尚未普遍接受。 相反,非笛卡尔方法对其具有优势,因此我们通常专注于该方法。 重建非笛卡尔数据最直接的方法是通过傅里叶求和。 然而,直接方法的计算复杂性通常大于使用高效FFT的方法。 但FFT要求在K空间的均匀笛卡尔栅栏上采样数据,基于NUFFT的方法非常重要。 最后,给出了与现有方法进行比较的实验结果。

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