The direct two-dimensional Fourier transform method enables a fast image reconstruction. The key problem of this method is in the interpolation from polar to Cartesian samples. In this paper we present a more efficient interpolation method than the previous one without decreasing the accuracy of the reconstructed image.
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Noboru NIKI, Masaru YOSHIDA, Yoshizo TAKAHASHI, "An Improved Interpolation Technique in Direct Two-Dimensional Fourier Transform Method for X-Ray CT" in IEICE TRANSACTIONS on transactions,
vol. E69-E, no. 1, pp. 9-12, January 1986, doi: .
Abstract: The direct two-dimensional Fourier transform method enables a fast image reconstruction. The key problem of this method is in the interpolation from polar to Cartesian samples. In this paper we present a more efficient interpolation method than the previous one without decreasing the accuracy of the reconstructed image.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e69-e_1_9/_p
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@ARTICLE{e69-e_1_9,
author={Noboru NIKI, Masaru YOSHIDA, Yoshizo TAKAHASHI, },
journal={IEICE TRANSACTIONS on transactions},
title={An Improved Interpolation Technique in Direct Two-Dimensional Fourier Transform Method for X-Ray CT},
year={1986},
volume={E69-E},
number={1},
pages={9-12},
abstract={The direct two-dimensional Fourier transform method enables a fast image reconstruction. The key problem of this method is in the interpolation from polar to Cartesian samples. In this paper we present a more efficient interpolation method than the previous one without decreasing the accuracy of the reconstructed image.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - An Improved Interpolation Technique in Direct Two-Dimensional Fourier Transform Method for X-Ray CT
T2 - IEICE TRANSACTIONS on transactions
SP - 9
EP - 12
AU - Noboru NIKI
AU - Masaru YOSHIDA
AU - Yoshizo TAKAHASHI
PY - 1986
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E69-E
IS - 1
JA - IEICE TRANSACTIONS on transactions
Y1 - January 1986
AB - The direct two-dimensional Fourier transform method enables a fast image reconstruction. The key problem of this method is in the interpolation from polar to Cartesian samples. In this paper we present a more efficient interpolation method than the previous one without decreasing the accuracy of the reconstructed image.
ER -