Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI
碩士 === 國立陽明大學 === 醫學工程研究所 === 98 === The incidence and prevalence rate of End Stage Renal Disease (ESRD) in Taiwan is ranked the top in the world. We can estimate the renal function by measuring Glomerular filtration rate (GFR). However, with the advancing technology and medical imaging, we can now...
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ndltd-TW-098YM0055300112015-10-13T18:49:17Z http://ndltd.ncl.edu.tw/handle/43541544321721056279 Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI 解褶積技術應用於3T磁振造影量化腎臟血流灌注 Wen-Ling Liao 廖文伶 碩士 國立陽明大學 醫學工程研究所 98 The incidence and prevalence rate of End Stage Renal Disease (ESRD) in Taiwan is ranked the top in the world. We can estimate the renal function by measuring Glomerular filtration rate (GFR). However, with the advancing technology and medical imaging, we can now use renal blood flow (RBF) as an index to estimate the renal function. Dynamic contrast enhancement MRI (DCE-MRI) is a popular technique for measuring renal hemodynamic parameters. It depends on the signal to time curve to measure the renal hemodynamic parameters, therefore obtaining higher signal to noise ratio (SNR) images is very important. Nowadays the renal perfusion is only studied in 1.5T MRI. Our goal is scanning participants in 3T MRI by injecting low-dose contrast agent to increase the signal intensity of an image, using deconvolution method to effectively measure renal perfusion and discussing observed problems throughout this study. The acquired data are categorized into three different groups: (1) 3T-Control (2) 1.5T-Control (3) 1.5T-Aldosternoism . The results show that renal perfusion has a highly negative correlation with age. However, renal perfusion has no significant difference within all three groups. There is no significant difference in the values of the control groups with two different magnetic fields. Woei-Chyn Chu 朱唯勤 2010 學位論文 ; thesis 75 zh-TW |
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碩士 === 國立陽明大學 === 醫學工程研究所 === 98 === The incidence and prevalence rate of End Stage Renal Disease (ESRD) in Taiwan is ranked the top in the world. We can estimate the renal function by measuring Glomerular filtration rate (GFR). However, with the advancing technology and medical imaging, we can now use renal blood flow (RBF) as an index to estimate the renal function. Dynamic contrast enhancement MRI (DCE-MRI) is a popular technique for measuring renal hemodynamic parameters. It depends on the signal to time curve to measure the renal hemodynamic parameters, therefore obtaining higher signal to noise ratio (SNR) images is very important.
Nowadays the renal perfusion is only studied in 1.5T MRI. Our goal is scanning participants in 3T MRI by injecting low-dose contrast agent to increase the signal intensity of an image, using deconvolution method to effectively measure renal perfusion and discussing observed problems throughout this study.
The acquired data are categorized into three different groups: (1) 3T-Control (2) 1.5T-Control (3) 1.5T-Aldosternoism . The results show that renal perfusion has a highly negative correlation with age. However, renal perfusion has no significant difference within all three groups. There is no significant difference in the values of the control groups with two different magnetic fields.
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author2 |
Woei-Chyn Chu |
author_facet |
Woei-Chyn Chu Wen-Ling Liao 廖文伶 |
author |
Wen-Ling Liao 廖文伶 |
spellingShingle |
Wen-Ling Liao 廖文伶 Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI |
author_sort |
Wen-Ling Liao |
title |
Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI |
title_short |
Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI |
title_full |
Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI |
title_fullStr |
Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI |
title_full_unstemmed |
Using Deconvolution Method to Quantify Renal Perfusion in 3T MRI |
title_sort |
using deconvolution method to quantify renal perfusion in 3t mri |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/43541544321721056279 |
work_keys_str_mv |
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