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See Latest ArticlesPartial fourier reconstruction through data fitting and convolution in k-space
Magnetic Resonance in Medicine, 10/06/09
Huang F et al. – The phase information is implicitly estimated in k–space through data fitting; the approximated phase information is applied to recover the unacquired k–space data through Hermitian operation and convolution in k–space. In both spin echo and gradient echo imaging experiments, the proposed method consistently produced images with the lowest error level when compared to Cuppen's algorithm, projection onto convex sets–based iterative algorithm, and Homodyne algorithm. Significant improvements are observed in images with rapid phase change. Besides the improvement on magnitude, the phase map of the images reconstructed by the proposed method also has significantly lower error level than conventional methods.
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