| Project/Area Number |
14570855
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Kyoto University |
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Principal Investigator |
TADAMURA Eiji Kyoto University, Graduate School of Medicine, Assistant Professor, 医学研究科, 助手 (70303831)
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| Co-Investigator(Kenkyū-buntansha) |
MATSUDA Tetsuya Kyoto University, Department of Informatics, Professor, 情報学研究科, 教授 (00209561)
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| Project Period (FY) |
2002 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2004: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2003: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2002: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | Myocardial blood flow / quantification / MRI / PET / 自動解析 |
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| Research Abstract |
In order to quantify myocardial blood flow using MRI, dynamic acquisition of approximately 60 seconds after administration of contrast media is necessary. However, it is impossible to hold a breath during its acquisition. Therefore, we have established a method to correct for the respiratory motion. Therefore, a method to obtain data on signal changes in left ventricle and left ventricular myocardium has been achieved during this investigation. In addition, we have compared the values of myocardial blood flow obtained by O-15 water positron emission tomography(PET) and those obtained by MRI. For estimation of myocardial blood flow using MRI, we have employed a model used in O-15 water PET. We have noticed that the variation of myocardial blood flow estimated by MRI was unexpectedly large. The cause of variation was investigated. Subtle errors in translating signal intensity to concentration of contrast media can cause remarkable errors in the absolute values of myocardial blood flow. In addition, the extraction fraction of Gd contrast media is not well-defined in humans. The uncertainty of these various factors can cause considerable errors in quantifying myocardial blood flow using MRI. We are struggling with these difficulties associated with quantifying myocardial blood flow.
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