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Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction

The detection of cancer lesions of a comparable size to that of the typical system resolution of modern scanners is a long-standing problem in Positron Emission Tomography. In this paper, the effect of composing an image-registering convolutional neural network with the modeling of the static data a...

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Autores principales: Cece, Enza, Meyrat, Pierre, Torino, Enza, Verdier, Olivier, Colarieti-Tosti, Massimiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607376/
https://www.ncbi.nlm.nih.gov/pubmed/37888338
http://dx.doi.org/10.3390/jimaging9100231
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author Cece, Enza
Meyrat, Pierre
Torino, Enza
Verdier, Olivier
Colarieti-Tosti, Massimiliano
author_facet Cece, Enza
Meyrat, Pierre
Torino, Enza
Verdier, Olivier
Colarieti-Tosti, Massimiliano
author_sort Cece, Enza
collection PubMed
description The detection of cancer lesions of a comparable size to that of the typical system resolution of modern scanners is a long-standing problem in Positron Emission Tomography. In this paper, the effect of composing an image-registering convolutional neural network with the modeling of the static data acquisition (i.e., the forward model) is investigated. Two algorithms for Positron Emission Tomography reconstruction with motion and attenuation correction are proposed and their performance is evaluated in the detectability of small pulmonary lesions. The evaluation is performed on synthetic data with respect to chosen figures of merit, visual inspection, and an ideal observer. The commonly used figures of merit—Peak Signal-to-Noise Ratio, Recovery Coefficient, and Signal Difference-to-Noise Ration—give inconclusive responses, whereas visual inspection and the Channelised Hotelling Observer suggest that the proposed algorithms outperform current clinical practice.
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spelling pubmed-106073762023-10-28 Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction Cece, Enza Meyrat, Pierre Torino, Enza Verdier, Olivier Colarieti-Tosti, Massimiliano J Imaging Article The detection of cancer lesions of a comparable size to that of the typical system resolution of modern scanners is a long-standing problem in Positron Emission Tomography. In this paper, the effect of composing an image-registering convolutional neural network with the modeling of the static data acquisition (i.e., the forward model) is investigated. Two algorithms for Positron Emission Tomography reconstruction with motion and attenuation correction are proposed and their performance is evaluated in the detectability of small pulmonary lesions. The evaluation is performed on synthetic data with respect to chosen figures of merit, visual inspection, and an ideal observer. The commonly used figures of merit—Peak Signal-to-Noise Ratio, Recovery Coefficient, and Signal Difference-to-Noise Ration—give inconclusive responses, whereas visual inspection and the Channelised Hotelling Observer suggest that the proposed algorithms outperform current clinical practice. MDPI 2023-10-20 /pmc/articles/PMC10607376/ /pubmed/37888338 http://dx.doi.org/10.3390/jimaging9100231 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cece, Enza
Meyrat, Pierre
Torino, Enza
Verdier, Olivier
Colarieti-Tosti, Massimiliano
Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction
title Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction
title_full Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction
title_fullStr Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction
title_full_unstemmed Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction
title_short Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction
title_sort spatio-temporal positron emission tomography reconstruction with attenuation and motion correction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607376/
https://www.ncbi.nlm.nih.gov/pubmed/37888338
http://dx.doi.org/10.3390/jimaging9100231
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