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

Alexander A. Zamyatin; Satoru Nakanishi

doi:10.1117/12.682023

5 September 2006 Adaptive convex filter in sinogram decomposition for extension of reconstruction field of view

Proceedings Volume 6316, Image Reconstruction from Incomplete Data IV; 63160I (2006) https://doi.org/10.1117/12.682023
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

Alexander A. Zamyatin and Satoru Nakanishi "Adaptive convex filter in sinogram decomposition for extension of reconstruction field of view", Proc. SPIE 6316, Image Reconstruction from Incomplete Data IV, 63160I (5 September 2006); https://doi.org/10.1117/12.682023

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