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Kidney Modelling for FDG Excretion with PET

The purpose of this study was to detect the physiological process of FDG's filtration from blood to urine and to establish a mathematical model to describe the process. Dynamic positron emission tomography scan for FDG was performed on seven normal volunteers. The filtration process in kidney c...

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Detalles Bibliográficos
Autores principales: Qiao, Huiting, Bai, Jing, Chen, Yingmao, Tian, Jiahe
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1950229/
https://www.ncbi.nlm.nih.gov/pubmed/17728841
http://dx.doi.org/10.1155/2007/63234
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author Qiao, Huiting
Bai, Jing
Chen, Yingmao
Tian, Jiahe
author_facet Qiao, Huiting
Bai, Jing
Chen, Yingmao
Tian, Jiahe
author_sort Qiao, Huiting
collection PubMed
description The purpose of this study was to detect the physiological process of FDG's filtration from blood to urine and to establish a mathematical model to describe the process. Dynamic positron emission tomography scan for FDG was performed on seven normal volunteers. The filtration process in kidney can be seen in the sequential images of each study. Variational distribution of FDG in kidney can be detected in dynamic data. According to the structure and function, kidney is divided into parenchyma and pelvis. A unidirectional three-compartment model is proposed to describe the renal function in FDG excretion. The time-activity curves that were picked up from the parenchyma, pelvis, and abdominal aorta were used to estimate the parameter of the model. The output of the model has fitted well with the original curve from dynamic data.
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spelling pubmed-19502292007-08-29 Kidney Modelling for FDG Excretion with PET Qiao, Huiting Bai, Jing Chen, Yingmao Tian, Jiahe Int J Biomed Imaging Research Article The purpose of this study was to detect the physiological process of FDG's filtration from blood to urine and to establish a mathematical model to describe the process. Dynamic positron emission tomography scan for FDG was performed on seven normal volunteers. The filtration process in kidney can be seen in the sequential images of each study. Variational distribution of FDG in kidney can be detected in dynamic data. According to the structure and function, kidney is divided into parenchyma and pelvis. A unidirectional three-compartment model is proposed to describe the renal function in FDG excretion. The time-activity curves that were picked up from the parenchyma, pelvis, and abdominal aorta were used to estimate the parameter of the model. The output of the model has fitted well with the original curve from dynamic data. Hindawi Publishing Corporation 2007 2007-07-02 /pmc/articles/PMC1950229/ /pubmed/17728841 http://dx.doi.org/10.1155/2007/63234 Text en Copyright © 2007 Huiting Qiao et al. https://creativecommons.org/licenses/by/3.0/ 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
Qiao, Huiting
Bai, Jing
Chen, Yingmao
Tian, Jiahe
Kidney Modelling for FDG Excretion with PET
title Kidney Modelling for FDG Excretion with PET
title_full Kidney Modelling for FDG Excretion with PET
title_fullStr Kidney Modelling for FDG Excretion with PET
title_full_unstemmed Kidney Modelling for FDG Excretion with PET
title_short Kidney Modelling for FDG Excretion with PET
title_sort kidney modelling for fdg excretion with pet
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1950229/
https://www.ncbi.nlm.nih.gov/pubmed/17728841
http://dx.doi.org/10.1155/2007/63234
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