A Bayesian approach to characterising multi-phase flows using magnetic resonance: Application to bubble flows

作者：Holland D J^*; Blake A; Tayler A B; Sederman A J; Gladden L F

来源：Journal of Magnetic Resonance, 2011, 209(1): 83-87.

DOI：10.1016/j.jmr.2010.12.003

• Bayesian analysis
• Multi-phase flows
• Sparse k-space
• Bubble size distributions
• Magnetic resonance

Magnetic Resonance (MR) imaging is difficult to apply to multi-phase flows due to both the inherently short T(2)* characterising such systems and the relatively long time taken to acquire the data. We develop a Bayesian MR approach for analysing data in k-space that eliminates the need for image acquisition, thereby significantly extending the range of systems that can be studied. We demonstrate the technique by measuring bubble size distributions in gas-liquid flows. The MR approach is compared with an optical technique at a low gas fraction (similar to 2%), before being applied to a system where the gas fraction is too high for optical measurements (similar to 15%).

• 出版日期2011-3
• 单位Microsoft