ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Interaction between encapsulated microbubbles: A finite element modelling study |
Chen-Liang Cai(蔡晨亮)1, Jie Yu(于洁)1, Juan Tu(屠娟)1, Xia-Sheng Guo(郭霞生)1, Pin-Tong Huang(黄品同)2, Dong Zhang(章东)1,3 |
1 Key Laboratory of Modern Acoustics(MOE), Department of Physics, Collaborative Inovation Center of Advanced Microstructure, Nanjing University, Nanjing 210093, China; 2 Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; 3 The State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing 100190, China |
|
|
Abstract Theoretical studies on the multi-bubble interaction are crucial for the in-depth understanding of the mechanism behind the applications of ultrasound contrast agents (UCAs) in clinics. A two-dimensional (2D) axisymmetric finite element model (FEM) is developed here to investigate the bubble-bubble interactions for UCAs in a fluidic environment. The effect of the driving frequency and the bubble size on the bubble interaction tendency (viz., bubbles' attraction and repulsion), as well as the influences of bubble shell mechanical parameters (viz., surface tension coefficient and viscosity coefficient) are discussed. Based on FEM simulations, the temporal evolution of the bubbles' radii, the bubble-bubble distance, and the distribution of the velocity field in the surrounding fluid are investigated in detail. The results suggest that for the interacting bubble-bubble couple, the overall translational tendency should be determined by the relationship between the driving frequency and their resonance frequencies. When the driving frequency falls between the resonance frequencies of two bubbles with different sizes, they will repel each other, otherwise they will attract each other. For constant acoustic driving parameters used in this paper, the changing rate of the bubble radius decreases as the viscosity coefficient increases, and increases first then decreases as the bubble shell surface tension coefficient increases, which means that the strength of bubble-bubble interaction could be adjusted by changing the bubble shell visco-elasticity coefficients. The current work should provide a powerful explanation for the accumulation observations in an experiment, and provide a fundamental theoretical support for the applications of UCAs in clinics.
|
Received: 31 January 2018
Revised: 24 May 2018
Accepted manuscript online:
|
PACS:
|
43.25.Yw
|
(Nonlinear acoustics of bubbly liquids)
|
|
43.35.Wa
|
(Biological effects of ultrasound, ultrasonic tomography)
|
|
43.80.+p
|
(Bioacoustics)
|
|
Fund: Projects supported by the National Natural Science Foundation of China (Grant Nos. 11474161, 11474001, 116741731, 1774166, 11774168, 81527803, 81627802, and 81420108018), the Fundamental Research Funds for the Central Universities, China (Grant No. 020414380109, and the Qing Lan Project, China. |
Corresponding Authors:
Juan Tu, Dong Zhang
E-mail: juantu@nju.edu.cn;dzhang@nju.edu.cn
|
Cite this article:
Chen-Liang Cai(蔡晨亮), Jie Yu(于洁), Juan Tu(屠娟), Xia-Sheng Guo(郭霞生), Pin-Tong Huang(黄品同), Dong Zhang(章东) Interaction between encapsulated microbubbles: A finite element modelling study 2018 Chin. Phys. B 27 084302
|
[1] |
Zhang D, Gong Y, Gong X, Liu Z, Tan K and Zheng H 2007 Phys. Med. Biol. 52 5531
|
[2] |
Tu J, Guan J F, Matula T J, Crum L A and Wei R J 2008 Chin. Phys. Lett. 25 172
|
[3] |
Ferrara K, Pollard R and Borden M 2007 Ann. Rev. Biomed. Eng. 9 415
|
[4] |
Qin S, Caskey C F and Ferrara K W 2009 Phys. Med. Biol. 54 R27
|
[5] |
Stride E P and Coussios C C 2010 Proc. Inst. Mech. Eng. Part. H J. Eng. Med. 224 171
|
[6] |
Zhou Y F 2011 World J. Clin. Oncol. 2 8
|
[7] |
Cai X W, Yang F and Gu 2012 Theranostics 2 103
|
[8] |
Arvanitis C D, Gregory T C and Nathan M 2015 IEEE Trans. Med. Imaging 34 1270
|
[9] |
Lee J, Min H S, You D G, Kim K, Kwon I C, Rhim T and Lee K Y 2016 J. Control. Release 223 197
|
[10] |
Zhou Y F and Gao X W 2016 Phys. Med. Biol. 61 6651
|
[11] |
Plesset M S and Prosperetti A 1977 Annu. Rev. Fluid Mech. 9 145
|
[12] |
Doinikov A A 2001 Phys. Rev. E 64 026301
|
[13] |
Martynov S, Stride E and Saffari N 2009 J. Acoust. Soc. Am. 126 2963
|
[14] |
Qin S and Ferrara K W 2006 Phys. Med. Biol. 51 5065
|
[15] |
Miao H Y and Gracewski S M 2008 Comput. Mech. 42 95
|
[16] |
Chen C, Gu Y, Tu J, Guo X and Zhang D 2016 Ultrasonics 66 54
|
[17] |
Chatterjee D and Sarkar K 2003 Ultrasound Med. Biol. 29 1749
|
[18] |
Fuster D, Conoir J M and Colonius T 2014 Phys. Rev. E 90 063010
|
[19] |
Cui B, Ni B and Wu Q 2016 Adv. Mech. Eng. 8 1687814016631708
|
[20] |
Leighton T 1994 The Acoustic Bubble (London: Academic Press)
|
[21] |
Tu J, Guan J, Qiu Y and Matula T J 2009 J. Acous. Soc. Am. 126 2954
|
[22] |
Dayton P A, Morgan K E, Klibanov A L, Brandenburger G, Nightingale K R and Ferrara K W 1997 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 44 1264
|
[23] |
Rychak J J, Klibanov A L and Hossack J A 2005 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 52 421
|
[24] |
Xi X 2013 “Controlled Translation and Oscillation of Micro-bubbles Near a Surface in an Acoustic Standing Wave Field”, Ph. D. Diserlation (London: Imperial College)
|
[25] |
Pelekasis N A and Tsamopoulos J 1993 J. Fluid Mech. 254 501
|
[26] |
Masato I 2003 Phys. Rev. E 67 056617
|
[27] |
de Jong N and Hoff L 1993 Ultrasonics 31 175
|
[28] |
Shi W T, Forsberg F, Hall A L, Chiao R Y, Liu J B, Miller S, Thomenius K E, Wheatley M A and Goldberg B B 1999 Ultrasonic Imaging 21 79
|
[29] |
Frinking P J and de Jong N 1998 Ultrasound Med. Biol. 24 523
|
[30] |
Guo X, Li Q, Zhang Z, Zhang D and Tu J 2013 J. Acoust. Soc. Am. 134 1622
|
[31] |
Guo G, Lu L, Yin L, Tu J, Guo X, Wu J, Xu D and Zhang D 2014 Phys. Med. Biol. 59 6729
|
[32] |
Wang L, Tu J, Guo X, Xu D and Zhang D 2014 Chin. Phys. B 23 124302
|
[33] |
Goldberg B B, Raichlen J S and Forsberg F 2001 Ultrasound contrast agents: basic principles and clinical applications (Boca Raton CRC Press)
|
[34] |
Gorce J M, Arditi M and Schneider M 2000 Invest. Radiol. 35 661
|
[35] |
Tu J, Swalwell J E, Giraud D, Cui W, Chen W and Matula T J 2011 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 58 955
|
[36] |
Doinikov A A and Bouakaz A 2011 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 58 981
|
[37] |
Doinikov A A and Bouakaz A 2013 Phys. Med. Biol. 58 6797
|
[38] |
Sadighi-Bonabi R, Rezaee N, Ebrahimi H and Mirheydari M 2010 Phys. Rev. E 82 016316
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|