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Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters

OBJECTIVE(S): We evaluated edge artifacts in relation to phantom diameter and reconstruction parameters in point spread function (PSF)-based positron emission tomography (PET) image reconstruction. METHODS: PET data were acquired from an original cone-shaped phantom filled with (18)F solution (21.9...

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Autores principales: Tsutsui, Yuji, Awamoto, Shinichi, Himuro, Kazuhiko, Umezu, Yoshiyuki, Baba, Shingo, Sasaki, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asia Oceania Journal of Nuclear Medicine & Biology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482918/
https://www.ncbi.nlm.nih.gov/pubmed/28660224
http://dx.doi.org/10.22038/aojnmb.2017.8802
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author Tsutsui, Yuji
Awamoto, Shinichi
Himuro, Kazuhiko
Umezu, Yoshiyuki
Baba, Shingo
Sasaki, Masayuki
author_facet Tsutsui, Yuji
Awamoto, Shinichi
Himuro, Kazuhiko
Umezu, Yoshiyuki
Baba, Shingo
Sasaki, Masayuki
author_sort Tsutsui, Yuji
collection PubMed
description OBJECTIVE(S): We evaluated edge artifacts in relation to phantom diameter and reconstruction parameters in point spread function (PSF)-based positron emission tomography (PET) image reconstruction. METHODS: PET data were acquired from an original cone-shaped phantom filled with (18)F solution (21.9 kBq/mL) for 10 min using a Biograph mCT scanner. The images were reconstructed using the baseline ordered subsets expectation maximization (OSEM) algorithm and the OSEM with PSF correction model. The reconstruction parameters included a pixel size of 1.0, 2.0, or 3.0 mm, 1-12 iterations, 24 subsets, and a full width at half maximum (FWHM) of the post-filter Gaussian filter of 1.0, 2.0, or 3.0 mm. We compared both the maximum recovery coefficient (RC(max)) and the mean recovery coefficient (RC(mean)) in the phantom at different diameters. RESULTS: The OSEM images had no edge artifacts, but the OSEM with PSF images had a dense edge delineating the hot phantom at diameters 10 mm or more and a dense spot at the center at diameters of 8 mm or less. The dense edge was clearly observed on images with a small pixel size, a Gaussian filter with a small FWHM, and a high number of iterations. At a phantom diameter of 6-7 mm, the RC(max) for the OSEM and OSEM with PSF images was 60% and 140%, respectively (pixel size: 1.0 mm; FWHM of the Gaussian filter: 2.0 mm; iterations: 2). The RC(mean) of the OSEM with PSF images did not exceed 100%. CONCLUSION: PSF-based image reconstruction resulted in edge artifacts, the degree of which depends on the pixel size, number of iterations, FWHM of the Gaussian filter, and object size.
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spelling pubmed-54829182017-06-28 Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters Tsutsui, Yuji Awamoto, Shinichi Himuro, Kazuhiko Umezu, Yoshiyuki Baba, Shingo Sasaki, Masayuki Asia Ocean J Nucl Med Biol Original Article OBJECTIVE(S): We evaluated edge artifacts in relation to phantom diameter and reconstruction parameters in point spread function (PSF)-based positron emission tomography (PET) image reconstruction. METHODS: PET data were acquired from an original cone-shaped phantom filled with (18)F solution (21.9 kBq/mL) for 10 min using a Biograph mCT scanner. The images were reconstructed using the baseline ordered subsets expectation maximization (OSEM) algorithm and the OSEM with PSF correction model. The reconstruction parameters included a pixel size of 1.0, 2.0, or 3.0 mm, 1-12 iterations, 24 subsets, and a full width at half maximum (FWHM) of the post-filter Gaussian filter of 1.0, 2.0, or 3.0 mm. We compared both the maximum recovery coefficient (RC(max)) and the mean recovery coefficient (RC(mean)) in the phantom at different diameters. RESULTS: The OSEM images had no edge artifacts, but the OSEM with PSF images had a dense edge delineating the hot phantom at diameters 10 mm or more and a dense spot at the center at diameters of 8 mm or less. The dense edge was clearly observed on images with a small pixel size, a Gaussian filter with a small FWHM, and a high number of iterations. At a phantom diameter of 6-7 mm, the RC(max) for the OSEM and OSEM with PSF images was 60% and 140%, respectively (pixel size: 1.0 mm; FWHM of the Gaussian filter: 2.0 mm; iterations: 2). The RC(mean) of the OSEM with PSF images did not exceed 100%. CONCLUSION: PSF-based image reconstruction resulted in edge artifacts, the degree of which depends on the pixel size, number of iterations, FWHM of the Gaussian filter, and object size. Asia Oceania Journal of Nuclear Medicine & Biology 2017 /pmc/articles/PMC5482918/ /pubmed/28660224 http://dx.doi.org/10.22038/aojnmb.2017.8802 Text en Copyright: © 2017 mums.ac.ir http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Tsutsui, Yuji
Awamoto, Shinichi
Himuro, Kazuhiko
Umezu, Yoshiyuki
Baba, Shingo
Sasaki, Masayuki
Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters
title Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters
title_full Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters
title_fullStr Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters
title_full_unstemmed Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters
title_short Edge Artifacts in Point Spread Function-based PET Reconstruction in Relation to Object Size and Reconstruction Parameters
title_sort edge artifacts in point spread function-based pet reconstruction in relation to object size and reconstruction parameters
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482918/
https://www.ncbi.nlm.nih.gov/pubmed/28660224
http://dx.doi.org/10.22038/aojnmb.2017.8802
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