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Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]
J I Jackson1, C H Meyer, D G Nishimura
1Magnetic Resonance Syst. Res. Lab., Stanford Univ., CA.
Abstract:
In the technique known as gridding, the data samples are weighted for sampling density and convolved with a finite kernel, then resampled on a grid preparatory to a fast Fourier transform. The authors compare the artifact introduced into the image for various convolving functions of different sizes, including the Kaiser-Bessel window and the zero-order prolate spheroidal wave function (PSWF). They also show a convolving function that improves upon the PSWF in some circumstances.
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