Noninvasive temperature and velocity mapping using magnetic resonance imaging
| Autor: | Zhao Yuechao, Ying Teng, Yongchen Song, Yu Liu, Lanlan Jiang, Bohao Wu, Xinhuan Zhou |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Materials science
010304 chemical physics medicine.diagnostic_test Field (physics) business.industry Measure (physics) Magnetic resonance imaging Computational fluid dynamics Condensed Matter Physics 01 natural sciences Temperature measurement 030218 nuclear medicine & medical imaging Computational physics 03 medical and health sciences Magnetization 0302 clinical medicine Distribution (mathematics) Nuclear magnetic resonance 0103 physical sciences medicine Sensitivity (control systems) Electrical and Electronic Engineering business |
| Zdroj: | Journal of Visualization. 19:403-415 |
| ISSN: | 1875-8975 1343-8875 |
| DOI: | 10.1007/s12650-015-0326-6 |
| Popis: | Accurate temperature and velocity measurement of fluid is of vital importance for CO2 Capture and Storage (CCS). The aims of this study were to evaluate the application of several magnetic resonance imaging (MRI) temperature measurement techniques in CCS and to simultaneously measure velocity and temperature distribution for flow field. First, the relations between MRI parameters including apparent self-diffusion coefficient (D), longitudinal relaxation time (T 1), longitudinal equilibrium magnetization (M 0) and temperature for three different samples were investigated. The results show that in high magnetic strength field the linear relationship between D and temperature is better than M 0–T and T 1–T in terms of accuracy and sensitivity. Then we used inversion recovery tagging method to simultaneously measure temperature and velocity of water flowing through a heated vessel. Temperature measured by IR-tagging method is within a deviation of 2 °C from the numerical results obtained by computational fluid dynamics. |
| Databáze: | OpenAIRE |
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