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Ultrasound-modulated optical imaging technology is a new type of biological tissue optical detection technology, and sensitive to the change of scattering coefficient and absorption coefficient of biological tissue. This technology is a non-ionizing and non-invasive pathological detection method, which has great potential application in early detection of cancer. However, ultrasound-modulated optical imaging technology is insufficient in signal-to-noise ratio (SNR) and imaging contrast. Frequency-shifted laser feedback technology with microchip laser is a new type of highly sensitive interference technology, whose gain coefficient for weak optical signal can reach 106. This technology can greatly improve the SNR of imaging. Combined with the high sensitive laser feedback technology, the ultrasound-modulated laser feedback technology is proposed. The SNR of this technology is better than that of the traditional ultrasound-modulated optical imaging technology. The increase in SNR can achieve greater depth of detection in biological tissue imaging, but there is no significant improvement in imaging contrast. In order to improve the contrast of biological tissue imaging and achieve high resolution imaging of thick biological tissue, we use ultrasound microbubble contrast agent in ultrasound-modulated laser feedback imaging technology. We establish a Monte Carlo photon transport model with microbubbles in order to study the mechanism of contrast enhancement in ultrasound-modulated laser feedback imaging with microbubbles. Finally, we establish an experimental system to verify the correctness of the simulation results. Experimental and simulation results show that in the transparent solution, the ultrasonic microbubble contrast agent can enhance the ultrasound-modulated laser feedback signal and generate harmonic modulation, which can improve the imaging contrast by detecting the enhancement of the fundamental and harmonic signals of the feedback. In the scattering medium, the ultrasonic microbubble contrast agent can significantly attenuate the ultrasound modulated laser feedback signal, and the imaging contrast can be improved by detecting the attenuation of the fundamental and harmonic signal.
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Keywords:
- acousto-optic imaging /
- laser feedback /
- capsule microbubbles /
- contrast-enhancement
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Google Scholar
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Google Scholar
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Google Scholar
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Born M, Wolf E 2009 Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light (Beijing: Publishing House of Electronics Industry) p76 (in Chinese)
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图 1 ULFI技术原理图
Figure 1. Schematic of ULFI technology.
图 2 微泡、光场、声场相互作用示意图
Figure 2. Schematic diagram of interaction among microbubbles, light field and sound field.
图 3 微泡的超声动态特性 (a)微泡半径变化曲线; (b)微泡半径变化频谱图
Figure 3. Ultrasonic dynamics of microbubble: (a) Curve of microbubble radius; (b) spectrogram of microbubble radius.
图 4 微泡散射声压曲线
Figure 4. Curves of microbubble scattering acoustic pressure.
图 5 微泡群散射系数变化曲线
Figure 5. Curves of microbubbles scattering coefficient.
图 6 蒙特卡罗仿真光散射参数的选择流程图
Figure 6. Flow chart of optical scattering parameters selection in Monte Carlo simulation.
图 7 蒙特卡罗仿真背向散射光斑图 (a) 0.9% NaCl; (b) 0.9% NaCl添加微泡; (c) 1%的脂肪乳剂; (d) 1%的脂肪乳剂添加微泡
Figure 7. Monte Carlo simulation of backscattered spot patterns: (a) 0.9% NaCl; (b) 0.9% NaCl with microbubbles; (c) 1% intralipid; (d) 1% intralipid with microbubbles.
图 8 实验系统
Figure 8. Experiment system.
图 9 微泡溶液和0.9%NaCl溶液中的声压-ULFI信号曲线 (a)总曲线; (b)基波信号; (c)二次谐波信号; (d)三次谐波信号
Figure 9. Acoustic pressure-ULFI signal curve of the microbubble solution and 0.9% NaCl solution: (a) Total curve; (b) fundamental signal; (c) second harmonic signal; (d) third harmonic signal.
图 10 1%的脂肪乳剂溶液和微泡、脂肪乳剂混合溶液中的声压-ULFI信号曲线
Figure 10. Acoustic pressure-ULFI signal curves of 1% intralipid solution and microbubble intralipid mixed solution.
表 1 Rayleigh-Plesset方程仿真参数
Table 1. Rayleigh-Plesset equation simulation parameters.
${\rho _{\rm{L}}}/{\rm{kg}} \cdot {{\rm{m}}^{ - 3}}$ ${P_0}/{\rm{kPa}}$ $\sigma /{\rm{N}} \cdot {{\rm{m}}^{ - 1}}$ $\chi /{\rm{N}} \cdot {{\rm{m}}^{ - 1}}$ $c/{\rm{m}} \cdot {{\rm{s}}^{ - 1}}$ $\varepsilon /{\rm{nm}}$ ${\mu _{{\rm{sh}}}}/{\rm{Pa}} \cdot {\rm{s}}$ $\gamma $ 998 1010 0.051 0.26 1500 5 0.003 1.07 
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表 2 蒙特卡罗仿真结果
Table 2. Results of Monte Carlo simulation.
溶液种类 背向散射光子数 $\dfrac{{{\simfont\text{调制}} + {\simfont\text{附加调制}}}}{{\simfont\text{未调制}}}$ 调制 未调制 附加调制 0.9%的NaCl溶液 9354 45080 0 20.75% 0.9%的NaCl、微泡混合液 9379 46070 4607 30.36% 1%的脂肪乳剂溶液 843 52966 0 1.59% 1%的脂肪乳剂、微泡混合液 97 52685 7 0.20%
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[1] Hussain A, Steenbergen W, Vellekoop I M 2018 J. Biophotonics 11 e201700013
Google Scholar
[2] Beard P 2011 Interface Focus 1 602
Google Scholar
[3] Lev A, Kotler Z, Sfez B G 2000 Opt. Lett. 25 378
Google Scholar
[4] Yao G, Wang L V 2000 Appl. Opt. 39 659
Google Scholar
[5] Zhang H, Sabooni M, Rippe L, Kim C, Kröll S, Wang L V, Hemmer P R 2012 Appl. Phys. Lett. 100 131102
Google Scholar
[6] Suzuki Y, Xu X, Lai P X, Wang L V 2012 J. Biomed. Opt. 17 080507
Google Scholar
[7] Izadifar Z, Babyn P, Chapman D 2019 J. Med. Biol. Eng. 39 259
Google Scholar
[8] Lin L Z, Fan Y, Gao F, Jin L F, Li D, Sun W J, Li F, Qin P, Shi Q S, Shi X Y, Du L F 2018 Theranostics 8 1923
Google Scholar
[9] Song W, Luo Y, Zhao Y, Liu X, Zhao J, Luo J, Zhang Q, Ran H, Wang Z, Guo D 2017 Nanomedicine 12 991
Google Scholar
[10] Qin D W, Li H G, Xie H L 2018 Mol. Med. Rep. 18 3242
[11] Yuan B H, Liu Y, Patrick M, Vignola J 2009 Appl. Phys. Lett. 95 181113
Google Scholar
[12] Hall D J, Hsu M J, Esener S, Robert F, Mattrey R F 2009 Photons Plus Ultrasound: Imaging and Sensing San Jose, United States, February 12, 2009 p71771L
[13] Leung T S, Honeysett J E, Stride E, Deng J 2013 J. Biomed. Opt. 18 015002
Google Scholar
[14] Honeysett J E, Stride E, Leung T S 2011 Photons Plus Ultrasound: Imaging and Sensing San Jose, United States, February 10, 2011 p7899
[15] Zhu K Y, Lu Y Y, Zhang S L, Ruan H W, Usuki S, Tan Y D 2018 Opt. Lett. 43 1207
Google Scholar
[16] Tan Y D, Wang W P, Xu C X, Zhang S L 2013 Sci. Rep. 3 2971
Google Scholar
[17] 梁金福, 陈伟中, 邵纬航, 周超, 杜联芳, 金利芳 2013 物理学报 62 084708
Google Scholar
Liang J F, Cheng W Z, Shao W H, Zhou C, Du L F, Jin L F 2013 Acta Phys. Sin. 62 084708
Google Scholar
[18] 于洁, 郭霞生, 屠娟, 章东 2015 物理学报 64 094306
Google Scholar
Yu J, Guo X S, Tu J, Zhang D 2015 Acta Phys. Sin. 64 094306
Google Scholar
[19] Wu J, Pepe J, Dewitt W 2003 Ultrasound Med. Biol. 29 555
Google Scholar
[20] Wang L V 2001 Phys. Rev. Lett. 87 043903
Google Scholar
[21] Wang L V, Jacques S L, Zheng L 1995 Comput. Meth. Programs Biomed. 47 131
Google Scholar
[22] Periyasamy V, Pramanik M 2013 J. Biomed. Opt. 18 106008
Google Scholar
[23] Sivasubramanian K, Periyasamy V, Wen K K, Pramanik M 2016 J. Biomed. Opt. 22 041008
Google Scholar
[24] Watté R, Aernouts B, van Beer R, Herremans E, Tri H Q, Verboven P, Nicolaï B, Saeys W 2015 Opt. Express 23 17467
Google Scholar
[25] 玻恩 M, 沃尔夫 E 著(杨葭荪 译) 2009 光学原理 (北京: 电子工业出版社) 第76页
Born M, Wolf E 2009 Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light (Beijing: Publishing House of Electronics Industry) p76 (in Chinese)
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