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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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2007/63234 |
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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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1725538064907894784 |