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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Main Authors: Huiting Qiao, Jing Bai, Yingmao Chen, Jiahe Tian
Format: Article
Language:English
Published: Hindawi Limited 2007-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2007/63234
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spelling doaj-46ed2462767e4a5f8f7d30f792e357282020-11-24T23:31:26ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962007-01-01200710.1155/2007/6323463234Kidney Modelling for FDG Excretion with PETHuiting Qiao0Jing Bai1Yingmao Chen2Jiahe Tian3Department of Biomedical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Biomedical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Nuclear Medicine, General Hospital of PLA, Beijing 100853, ChinaDepartment of Nuclear Medicine, General Hospital of PLA, Beijing 100853, ChinaThe 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.http://dx.doi.org/10.1155/2007/63234
collection DOAJ
language English
format Article
sources DOAJ
author Huiting Qiao
Jing Bai
Yingmao Chen
Jiahe Tian
spellingShingle Huiting Qiao
Jing Bai
Yingmao Chen
Jiahe Tian
Kidney Modelling for FDG Excretion with PET
International Journal of Biomedical Imaging
author_facet Huiting Qiao
Jing Bai
Yingmao Chen
Jiahe Tian
author_sort Huiting Qiao
title Kidney Modelling for FDG Excretion with PET
title_short 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_sort kidney modelling for fdg excretion with pet
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2007-01-01
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.
url http://dx.doi.org/10.1155/2007/63234
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AT jingbai kidneymodellingforfdgexcretionwithpet
AT yingmaochen kidneymodellingforfdgexcretionwithpet
AT jiahetian kidneymodellingforfdgexcretionwithpet
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