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FFT Complex to Complex filters and helper classes

Warfield, Simon
Harvard Medical School
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/326
New: Prefer using the following doi: https://doi.org/10.54294/h4j7t7
Published in The Insight Journal - 2006 July - December.
Submitted by Simon Warfield on 2006-10-22T20:29:07Z.

ITK currently supports real to complex conjugate forward and inverse Fourier transformation's through dedicated filters. In turn, these utilize one of a number of Fourier transform implementations, such as that available through VNL, through FFTW or through Intel's implementation of the FFTW API. When dealing directly with complex data, such as may be acquired by an MRI scanner, it is convenient to have dedicated filters supporting Complex to Complex transformations. It is also convenient to have filter classes that can convert between complex data and real and imaginary component and magnitude and phase component representations.