Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1785127531889819648 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10607376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ceceenza spatiotemporalpositronemissiontomographyreconstructionwithattenuationandmotioncorrection AT meyratpierre spatiotemporalpositronemissiontomographyreconstructionwithattenuationandmotioncorrection AT torinoenza spatiotemporalpositronemissiontomographyreconstructionwithattenuationandmotioncorrection AT verdierolivier spatiotemporalpositronemissiontomographyreconstructionwithattenuationandmotioncorrection AT colarietitostimassimiliano spatiotemporalpositronemissiontomographyreconstructionwithattenuationandmotioncorrection |