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Proceedings Paper

Shape-based interpolation of gray-scale serial slice images
Author(s): Russell R. Stringham; William A. Barrett
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Paper Abstract

A new algorithm for interpolation between grayscale serial slice images is presented. The new algorithm (SBIG) applies shape-based interpolation to CT and MRI images and outputs a dense image volume. Unlike algorithms, such as linear interpolation, which rely only on pixel position, SBIG makes essential use of image content to interpolate between pixels and structure of similar shape and intensity which may differ in size and position from slice to slice. A quantitative comparison shows that SBIG significantly outperforms linear interpolation, particularly as the distance between slices increases. More importantly, while linear interpolation demonstrates characteristic low-pass smearing of object edges and detail, high frequency image features such as object edges and anatomical structures are preserved and well approximated with SBIG. As a result, reconstructed coronal slices from the dense image volume using SBIG demonstrate significantly smoother representation of anatomical structures and less 'staircasing' than those created using linear interpolation.

Paper Details

Date Published: 14 September 1993
PDF: 11 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154495
Show Author Affiliations
Russell R. Stringham, Brigham Young Univ. (United States)
William A. Barrett, Brigham Young Univ. (United States)


Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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