Paper
2 March 2006 Extension of the reconstruction field-of-view using sinogram decomposition
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander A. Zamyatin, Michael D. Silver, and Satoru Nakanishi "Extension of the reconstruction field-of-view using sinogram decomposition", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614220 (2 March 2006); https://doi.org/10.1117/12.653880
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Fluctuations and noise

Computed tomography

Data analysis

Image quality

Image restoration

Reconstruction algorithms

Signal attenuation

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