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Proceedings Paper

Adaptive convex filter in sinogram decomposition for extension of reconstruction field of view
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Paper Abstract

Sinogram truncation is a common problem in tomographic reconstruction. Authors expand their previously published method of sinogram extension using decomposition into sinogram curves by using the adaptive convex filter. The main idea is to estimate the truncated parts of the projections of some object or patient using measured projections at different projection angles. This technique provides good estimation of the missing data near the edge of truncation. However, it is hard to estimate the outer edges of the truncated sinogram; in other words, the outer edge of the sinogram, and, consequently, reconstructed object, is invisible. To overcome this problem we introduce the adaptive convex filter that rounds off the outer portions of the extended sinogram, which tend to have a form of peak directed outwards. Here we assume that the truncated part of the reconstructed object has a round or elliptic shape, which holds with most clinical applications. The method automatically adjusts to the size of the truncated object, whether it is an arm or a part of torso.

Paper Details

Date Published: 5 September 2006
PDF: 8 pages
Proc. SPIE 6316, Image Reconstruction from Incomplete Data IV, 63160I (5 September 2006); doi: 10.1117/12.682023
Show Author Affiliations
Alexander A. Zamyatin, Bio-Imaging Research, Inc. (United States)
Satoru Nakanishi, Toshiba Medical Systems Corp. (Japan)

Published in SPIE Proceedings Vol. 6316:
Image Reconstruction from Incomplete Data IV
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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