Visualized measurement of oil-water two-phase flow is of vital importance in multi-phase flow measurement and process industry. Ultrasonic tomography (UT) is widely applied in two-phase flow measurement due to its non-invasive, non-radiative, safe, and portable advantages. Aiming at UT reconstruction of oil-water two-phase medium with low acoustic impedance, we propose a high-resolution reconstruction algorithm based on Gaussian regression prediction. The iteratively simultaneously algebraic reconstruction technique is modified with high pass filter, and the truncated singular value decomposition is used to reduce dimensionality of the coefficient matrix. Gaussian process regression is applied to gain high-resolution image. Simulation results indicate that the proposed algorithm provides high accuracy and high-resolution reconstruction with fast computing speed.
LIU Hao
,
TAN Chao
,
DONG Feng
. High resolution reconstruction of ultrasonic tomography based on Gaussian regression prediction[J]. Journal of University of Chinese Academy of Sciences, 2020
, 37(2)
: 234
-241
.
DOI: 10.7523/j.issn.2095-6134.2020.02.013
[1] 李永明, 苏明旭,袁安利,等. 基于超声的管道内粉体体积分数的测量[J]. 中国科学院大学学报, 2016, 33(2):277-282.
[2] 谭超,董峰. 多相流过程参数检测技术综述[J]. 自动化学报,2013(11):1923-1932.
[3] 郭烈锦. 21世纪多相流热物理学科的未来与挑战[J]. 科技导报,1995, 10:8-9,5.
[4] 王智博,张骏,李拓,等. 基于已知振幅信息约束的叠层光电成像[J]. 中国科学院大学学报,2017, 34(5):543-550.
[5] Rahiman M H F, Rahim R A, Rahim H A. An investigation on chemical bubble column using ultrasonic tomography for imaging of gas profiles[J]. Sensors and Actuators, 2014, 202:46-52.
[6] Bieberle M, Bartherl F, Hampel U. Ultrafast X-ray computed tomography for the analysis of gas-solid fluidized besds[J]. Chemical Engineering Journal, 2012, 189/190:356-363.
[7] Xu L J, Xu L A. Gas/liquid two-phase flow regime identification by ultrasonic tomography[J]. Flow Measurement and Instrumentation, 1997, 8(3):145-155.
[8] Chiew L G, Abdul R R, Fazalul R H. Simulative and experimental studies:void fraction detection in a bubble column of a conducting pipe[J]. IEEE Transactions on Industrial Electronics, 2017, 64:9636-9645.
[9] Song X Z, Xu Y B, Dong F. A spatially adaptive total variation regularization method for electrical resistance tomography[J]. Measurement Science and Technology, 2015, 26:125401.
[10] Tepe J, Schuster T, Littau B. A modified algebraic reconstruction technique taking refraction into account with an application in terahertz tomography[J]. Inverse Problems in Science and Engineering, 2017, 25(10):1448-1473.
[11] Cardenas D A C, Furuie S S. Improving priors for USTC via transmission tomography:a simulation study[C]//World Congress on Medical Physics and Biomedical Engineering, Prague, Czech. 2018, 1:177-181.
[12] Andersen A, Kak A C. Simultaneously algebraic reconstruction technique (SART):a super implementation of the ART algorithm[J]. Ultrasound Imaging, 1984, 3:81-94.
[13] Li J M, Qu Y Y, Li C H, et al. Learning local Gaussian process regression for image super-resolution[J]. Neurocomputing, 215, 154:284-295.
[14] Pei Y, Xu Y B, Dong F. A modified L-curve method for choosing regularization parameter in electrical resistance tomography[C]//IEEE International Conference on Imaging System and Techniques (IST), Macau, China, 2015:55-60.
