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Cited by 317

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

A computational study of reconstruction algorithms for diffraction tomography: Interpolation versus filtered-backpropagation

Pan, S., Kak, A.·1983·IEEE Transactions on Acoustics, Speech, and Signal Processing

Abstract

From the standpoint of reporting a new contribution, this paper shows that by using bilinear interpolation followed by direct two-dimensional Fourier inversion, one can obtain reconstructions of quality which is comparable to that produced by the filtered-backpropagation algorithm proposed recently by Devaney. For an N × N image reconstructed from N diffracted projections, the former approach requires approximately 4N FFT's, whereas the backpropagation technique requires approximately N2FFT's. We have also taken this opportunity to present the reader with a tutorial introduction to diffraction tomography, an area that is becoming increasingly important not only in medical imaging, but also in underwater and seismic mapping with microwaves and sound. The main feature of the tutorial part is the statement of the Fourier diffraction projection theorem, which is an extension of the traditional Fourier slice theorem to the case of image formation with diffracting illumination.

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Crossref · 10.1109/tassp.1983.1164196

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Metadata

Authors
Pan, S., & Kak, A.
Venue
IEEE Transactions on Acoustics, Speech, and Signal Processing
Published
1983-10
Volume
31
Issue
5
Pages
1262-1275
ISSN
0096-3518 (ISSN-L)
OpenAlex
W2070154783
Cited by
317
References
11
FWCI
15.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A computational study of reconstruction algorithms for diffraction tomography: Interpolation versus filtered-backpropagation. https://app.cochat.ai/papers/10.1109/tassp.1983.1164196
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Pan, S., & Kak, A. (1983). A computational study of reconstruction algorithms for diffraction tomography: Interpolation versus filtered-backpropagation. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1983.1164196

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