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Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature

Positron emission tomography (PET) provides images of metabolic activity in the body, and it is used in the research, monitoring, and diagnosis of several diseases. However, the raw data produced by the scanner are severely corrupted by noise, causing a degraded quality in the reconstructed images....

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Detalles Bibliográficos
Autores principales: Mejia, Jose, Mederos, Boris, Zhao, Jie, Ortega, Leticia, Gordillo, Nelly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276392/
https://www.ncbi.nlm.nih.gov/pubmed/30581548
http://dx.doi.org/10.1155/2018/4706165
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author Mejia, Jose
Mederos, Boris
Zhao, Jie
Ortega, Leticia
Gordillo, Nelly
author_facet Mejia, Jose
Mederos, Boris
Zhao, Jie
Ortega, Leticia
Gordillo, Nelly
author_sort Mejia, Jose
collection PubMed
description Positron emission tomography (PET) provides images of metabolic activity in the body, and it is used in the research, monitoring, and diagnosis of several diseases. However, the raw data produced by the scanner are severely corrupted by noise, causing a degraded quality in the reconstructed images. In this paper, we proposed a reconstruction algorithm to improve the image reconstruction process, addressing the problem from a variational geometric perspective. We proposed using the weighted Gaussian curvature (WGC) as a regularization term to better deal with noise and preserve the original geometry of the image, such as the lesion structure. In other contexts, the WGC term has been found to have excellent capabilities for preserving borders and structures of low gradient magnitude, such as ramp-like structures; at the same time, it effectively removes noise in the image. We presented several experiments aimed at evaluating contrast and lesion detectability in the reconstructed images. The results for simulated images and real data showed that our proposed algorithm effectively preserves lesions and removes noise.
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spelling pubmed-62763922018-12-23 Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature Mejia, Jose Mederos, Boris Zhao, Jie Ortega, Leticia Gordillo, Nelly J Healthc Eng Research Article Positron emission tomography (PET) provides images of metabolic activity in the body, and it is used in the research, monitoring, and diagnosis of several diseases. However, the raw data produced by the scanner are severely corrupted by noise, causing a degraded quality in the reconstructed images. In this paper, we proposed a reconstruction algorithm to improve the image reconstruction process, addressing the problem from a variational geometric perspective. We proposed using the weighted Gaussian curvature (WGC) as a regularization term to better deal with noise and preserve the original geometry of the image, such as the lesion structure. In other contexts, the WGC term has been found to have excellent capabilities for preserving borders and structures of low gradient magnitude, such as ramp-like structures; at the same time, it effectively removes noise in the image. We presented several experiments aimed at evaluating contrast and lesion detectability in the reconstructed images. The results for simulated images and real data showed that our proposed algorithm effectively preserves lesions and removes noise. Hindawi 2018-11-15 /pmc/articles/PMC6276392/ /pubmed/30581548 http://dx.doi.org/10.1155/2018/4706165 Text en Copyright © 2018 Jose Mejia et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mejia, Jose
Mederos, Boris
Zhao, Jie
Ortega, Leticia
Gordillo, Nelly
Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
title Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
title_full Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
title_fullStr Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
title_full_unstemmed Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
title_short Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
title_sort reconstruction of positron emission tomography images using gaussian curvature
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276392/
https://www.ncbi.nlm.nih.gov/pubmed/30581548
http://dx.doi.org/10.1155/2018/4706165
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