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Proceedings Paper

Extension of the reconstruction field-of-view using sinogram decomposition
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Paper Abstract

Sinogram truncation is a common problem in tomographic reconstruction; it occurs when a scanned object or patient extends outside the scan field-of-view. The truncation artifact propagates from the edge of truncation towards the center, resulting in degraded image quality. Several methods have been proposed recently to reconstruct the image artifact-free within the scan FOV; however it is often necessary to recover image outside the scan FOV. We propose a novel truncation correction algorithm that accurately completes unmeasured data outside of the scan field-of-view, which allows us to extend the reconstruction field-of-view. Contrary to 1D extrapolation, we perform interpolation along the so-called sinogram curves. First, we propose an approach to parameterize the family of sinogram curves for efficient sinogram decomposition. Secondly, we propose two ways to estimate the truncated data outside the field-of-view. Both methods are combined for more accurate sinogram completion. Our evaluation shows the validity of our approach. Even objects completely outside the FOV can be accurately reconstructed using the proposed method. The proposed method can be used with any modality where sinogram truncation occurs, such as CT, C-arm, PET/CT, and SPECT.

Paper Details

Date Published: 2 March 2006
PDF: 8 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614220 (2 March 2006); doi: 10.1117/12.653880
Show Author Affiliations
Alexander A. Zamyatin, Bio-Imaging Research, Inc. (United States)
Michael D. Silver, Bio-Imaging Research, Inc. (United States)
Satoru Nakanishi, Toshiba Medical Systems Corp. (Japan)


Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

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