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I've been very impressed overall with the power of the gpuNUFFT tool, but have a question for a particular use case: is there an easy way to determine the scaling that is applied between the image space and the frequency space, such that it could match using an FFT instead? What I mean by this is that if I have k-space data and reconstruct an image, the scaling is quite different to if I do an inverse FFT - and from the permutations I've tried it is not off by an obvious scaling (nxnynz for example). I wonder if there is a fixed scaling factor that is applied internally somewhere?
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