IEEE Transactions on Acoustics Speech and Signal Processing · 1983 · 43 citations · 3 references
Natural SciencesMathematicsRadiologyDiagnostic ImagingDiagnostic RadiologyDigital ImagingComputed TomographyComputed Tomography PhysicsFourier OpticsImage ReconstructionImage SamplingImagingComputed Tomography ReconstructionComputer TomographyCt Image ReconstructionFiltered Back ProjectionFourier TransformTomographic InversionTomographic ReconstructionTomography
In two recent papers, an exact polar interpolation formula was used to reconstruct computer tomography (CT) imagery by a procedure known as direct Fourier transform inversion. The resulting imagery compared favorably to CT imagery reconstructed by filtered convolution back projection. Strictly speaking, however, the interpolation formula was inappropriately used since it is valid only for an odd number of azimuthal samples while in CT one uses an even number of samples. When the number of samples N is large (say > 200 as in CT) the error is not noticeable and the "appropriateness" of the formula has no practical significance. However, when N is small, a large error can result. We derive, in this paper, exact azimuthal interpolation formulas for N even and arbitrary N.
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Direct Fourier reconstruction in computer tomography
H. Stärk, J. Woods, I. Paul et al. · IEEE Transactions on Acoustics Speech and Signal Processing · 1981 · 207 citations