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Cited by 435

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

Shape-based interpolation of multidimensional objects

Raya, S.P., Udupa, J.K.·1990·IEEE Transactions on Medical Imaging

Abstract

A shape-based interpolation scheme for multidimensional images is presented. This scheme consists of first segmenting the given image data into a binary image, converting the binary image back into a gray image wherein the gray value of a point represents its shortest distance (positive value for points of the object and negative for those outside) from the cross-sectional boundary, and then interpolating the gray image. The set of all points with nonnegative values associated with them in the interpolated image constitutes the interpolated object. The method not only minimizes user involvement in interactive segmentation, but also leads to more accurate representation and depiction of dynamic as well as static objects. The general methodology and the implementation details of the method are presented and compared on a qualitative and quantitative basis to the existing methods. The generality of the proposed scheme is illustrated with a number of medical imaging examples.

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Metadata

Authors
Raya, S. P., & Udupa, J. K.
Venue
IEEE Transactions on Medical Imaging
Published
1990-03
Volume
9
Issue
1
Pages
32-42
ISSN
0278-0062 (ISSN-L)
OpenAlex
W2130538955
Cited by
435
References
11
FWCI
16.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Shape-based interpolation of multidimensional objects. https://app.cochat.ai/papers/10.1109/42.52980
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Raya, S. P., & Udupa, J. K. (1990). Shape-based interpolation of multidimensional objects. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.52980

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