| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Influence of mode conversions in the skull on transcranial focused ultrasound and temperature fields utilizing the wave field separation method: A numerical study |
| Xiang-Da Wang(王祥达)1,2, Wei-Jun Lin(林伟军)1, Chang Su(苏畅)1, Xiu-Ming Wang(王秀明)1 |
1. State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
|
|
Abstract Transcranial focused ultrasound is a booming noninvasive therapy for brain stimuli. The Kelvin-Voigt equations are employed to calculate the sound field created by focusing a 256-element planar phased array through a monkey skull with the time-reversal method. Mode conversions between compressional and shear waves exist in the skull. Therefore, the wave field separation method is introduced to calculate the contributions of the two waves to the acoustic intensity and the heat source, respectively. The Pennes equation is used to depict the temperature field induced by ultrasound. Five computational models with the same incident angle of 0° and different distances from the focus for the skull and three computational models at different incident angles and the same distance from the focus for the skull are studied. Numerical results indicate that for all computational models, the acoustic intensity at the focus with mode conversions is 12.05% less than that without mode conversions on average. For the temperature rise, this percentage is 12.02%. Besides, an underestimation of both the acoustic intensity and the temperature rise in the skull tends to occur if mode conversions are ignored. However, if the incident angle exceeds 30°, the rules of the over-and under-estimation may be reversed. Moreover, shear waves contribute 20.54% of the acoustic intensity and 20.74% of the temperature rise in the skull on average for all computational models. The percentage of the temperature rise in the skull from shear waves declines with the increase of the duration of the ultrasound.
|
Received: 29 September 2017
Revised: 13 November 2017
Accepted manuscript online:
|
|
PACS:
|
43.35.+d
|
(Ultrasonics, quantum acoustics, and physical effects of sound)
|
| |
43.80.+p
|
(Bioacoustics)
|
| |
87.50.Y-
|
(Biological effects of acoustic and ultrasonic energy)
|
| |
43.35.Cg
|
(Ultrasonic velocity, dispersion, scattering, diffraction, and Attenuation in solids; elastic constants)
|
|
| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 81527901, 11604361, and 91630309). |
Corresponding Authors:
Wei-Jun Lin
E-mail: linwj@mail.ioa.ac.cn
|
| About author: 43.35.+d; 43.80.+p; 87.50.Y-; 43.35.Cg |
Cite this article:
Xiang-Da Wang(王祥达), Wei-Jun Lin(林伟军), Chang Su(苏畅), Xiu-Ming Wang(王秀明) Influence of mode conversions in the skull on transcranial focused ultrasound and temperature fields utilizing the wave field separation method: A numerical study 2018 Chin. Phys. B 27 024302
|
| [1] |
McDannold N, Clement G T, Black P, Jolesz F and Hynynen K 2010 Neurosurgery 66 323
|
| [2] |
Martin E, Jeanmonod D, Morel A, Zadicario E and Werner B 2009 Ann. Neurol. 66 858
|
| [3] |
Legon W, Sato T F, Opitz A, Mueller J, Barbour A, Williams A and Tyler W J 2014 Nat. Neurosci. 17 322
|
| [4] |
Jordão J F, Ayala-Grosso C A, Markham K, Huang Y, Chopra R, McLaurin J, Hynynen K and Aubert I 2010 PLoS One 5 e10549
|
| [5] |
Elias W J, Huss D, Voss T, Loomba J, Khaled M, Zadicario E, Frysinger R C, Sperling S A, Wylie S and Monteith S J 2013 New Engl. J. Med. 369 640
|
| [6] |
McDannold N, Vykhodtseva N and Hynynen K 2006 Phys. Med. Biol. 51 793
|
| [7] |
Choi J J, Pernot M, Small S A and Konofagou E E 2007 Ultrasound Med. Biol. 33 95
|
| [8] |
Poon C, McMahon D and Hynynen K 2016 Neuropharmacology 120 20
|
| [9] |
Alexandrov A V, Molina C A, Grotta J C, Garami Z, Ford S R, Alvarez-Sabin J, Montaner J, Saqqur M, Demchuk A M and Moyé L A 2004 New Engl. J. Med. 351 2170
|
| [10] |
Molina C A, Ribo M, Rubiera M, Montaner J, Santamarina E, Delgado-Mederos R, Arenillas J F, Huertas R, Purroy F and Delgado P 2006 Stroke 37 425
|
| [11] |
Pichardo S and Hynynen K 2007 Phys. Med. Biol. 52 7313
|
| [12] |
Pulkkinen A, Huang Y, Song J and Hynynen K 2011 Phys. Med. Biol. 56 4661
|
| [13] |
Colen R R and Jolesz F A 2010 Neuroimaging Clin. N. Am. 20 355
|
| [14] |
Fry F J and Barger J E 1978 J. Acoust. Soc. Am. 63 1576
|
| [15] |
Clement G T, Sun J and Hynynen K 2001 Ultrasonics 39 109
|
| [16] |
Hayner M and Hynynen K 2001 J. Acoust. Soc. Am. 110 3319
|
| [17] |
Gu J and Jing Y 2015 IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 62 1979
|
| [18] |
Sun J M, Yu J, Guo X S and Zhang D 2013 Acta Phys. Sin. 62 54301(in Chinese)
|
| [19] |
Xu F, Lu M Z, Wan M X and Fang F 2010 Acta Phys. Sin. 59 1349(in Chinese)
|
| [20] |
Zhang L, Wang X D, Liu X Z and Gong X F 2015 Chin. Phys. B 24 014301
|
| [21] |
Fan P F, Yu J, Yang X, Tu J, Guo X S, Huang P T and Zhang D 2017 Chin. Phys. B. 26 054301
|
| [22] |
Westervelt P J 1963 J. Acoust. Soc. Am. 35 535
|
| [23] |
Clement G, White P and Hynynen K 2004 J. Acoust. Soc. Am. 115 1356
|
| [24] |
White P, Clement G and Hynynen K 2006 Ultrasound Med. Biol. 32 1085
|
| [25] |
Pinton G, Aubry J F, Bossy E, Muller M, Pernot M and Tanter M 2012 Med. Phys. 39 299
|
| [26] |
Pichardo S and Hynynen K 2007 Phys. Med. Biol. 52 7313
|
| [27] |
Pulkkinen A, Huang Y, Song J and Hynynen K 2011 Phys. Med. Biol. 56 4661
|
| [28] |
Pulkkinen A, Werner B, Martin E and Hynynen K 2014 Phys. Med. Biol. 59 1679
|
| [29] |
Song J, Pulkkinen A, Huang Y and Hynynen K 2012 IEEE Trans. Biomed. Eng. 59 435
|
| [30] |
Kaufman J J, Luo G and Siffert R S 2008 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 55 1205
|
| [31] |
Deffieux T and Konofagou E E 2010 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 57 2637
|
| [32] |
Treeby B E and Cox B T 2010 J. Biomed. Opt. 15 021314
|
| [33] |
Firouzi K, Cox B T, Treeby B E and Saffar N 2012 J. Acoust. Soc. Am. 132 1271
|
| [34] |
Cox B T, White P J and McDannold N J 2016 Med. Phys. 43 870
|
| [35] |
Okita K, Ono K, Takagi S and Matsumoto Y 2011 Int. J. Numer. Methods Fluids 65 43
|
| [36] |
Dellinger J and Etgen J 1990 Geophysics 55 914
|
| [37] |
Pennes H H 1948 J. Appl. Physiol. 1 93
|
| [38] |
Virieux J 1986 Geophysics 51 889
|
| [39] |
Graves R W 1996 B. Seismol. Soc. Am. 86 1091
|
| [40] |
Guan W and Hu H 2011 Commun. Comput. Phys. 10 695
|
| [41] |
Berenger J P 1994 J. Comput. Phys. 114 185
|
| [42] |
Komatitsch D and Martin R 2007 Geophysics 72 SM155
|
| [43] |
Aubry J F, Tanter M, Pernot M, Thomas J L and Fink M 2003 J. Acoust. Soc. Am. 113 84
|
| [44] |
Fink M 1992 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 39 555
|
| [45] |
Ding X, Wang Y Z, Zhang Q, Zhou W Z, Wang P G, Luo M Y and Jian X Q 2015 Phys. Med. Biol. 60 3975
|
| 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
|
|
|
