Homodyne reconstruciton of partial MRI k-space (Spatial Frequency) data
Updated 3 Dec 2001

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The input KSP is assumed to be a rectangular matrix with the number of rows equaling the number of phase encodes (lines) of the image's k-space. The first rows of the matrix should be the highest frequency phase encodes acquired so that the center of k-space is near the bottom of the matrix. The image is reconstructed for the next highest power of 2 greater than the number of phase encodes in the partial k-space data set.

Cite As

Edward Brian Welch (2024). pifft (https://www.mathworks.com/matlabcentral/fileexchange/1114-pifft), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R12.1
Compatible with any release
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