Review of current methods of acousto-optical tomography for biomedical applications

doi:10.1007/s12200-017-0718-4

Frontiers of Optoelectronics

2017, Vol. 10

Issue (3): 211-238 https://doi.org/10.1007/s12200-017-0718-4

本期目录

Review of current methods of acousto-optical tomography for biomedical applications

Jacqueline GUNTHER¹(

), Stefan ANDERSSON-ENGELS^1,²

¹. Tyndall National Institute, Lee Maltings, Dyke Parade, Cork T12 R5CP, Ireland
². Department of Physics, University College Cork, Cork T12 YN60, Ireland

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Abstract：

The field of acousto-optical tomography (AOT) for medical applications began in the 1990s and has since developed multiple techniques for the detection of ultrasound-modulated light. Light becomes frequency shifted as it travels through an ultrasound beam. This “tagged” light can be detected and used for focused optical imaging. Here, we present a comprehensive overview of the techniques that have developed since around 2011 in the field of biomedical AOT. This includes how AOT has advanced by taken advantage of the research conducted in the ultrasound, as well as, the optical fields. Also, simulations and reconstruction algorithms have been formulated specifically for AOT imaging over this time period. Future progression of AOT relies on its ability to provide significant contributions to in vivoimaging for biomedical applications. We outline the challenges that AOT still faces to make in vivoimaging possible and what has been accomplished thus far, as well as possible future directions.

Key words： acousto-optic ultrasound modulation optical imaging biomedical imaging

收稿日期: 2017-03-31 出版日期: 2017-09-26

Corresponding Author(s): Jacqueline GUNTHER

引用本文:

. [J]. Frontiers of Optoelectronics, 2017, 10(3): 211-238.
Jacqueline GUNTHER, Stefan ANDERSSON-ENGELS. Review of current methods of acousto-optical tomography for biomedical applications. Front. Optoelectron., 2017, 10(3): 211-238.

链接本文:

https://academic.hep.com.cn/foe/CN/10.1007/s12200-017-0718-4
https://academic.hep.com.cn/foe/CN/Y2017/V10/I3/211

Fig.1

Fig.2

Fig.3

Fig.4

area	technique	approaches	challenge(s) addressed	Ref.
ultrasound	dual ultrasound frequencies	two ultrasound foci	speed	[41]
		two-region transducer	determine Young’s modulus	[42–44]
		two ultrasound transducers	axial resolution	[45]
	pressure contrast	different pressure waves	determine scattering coefficient	[46,47]
	second harmonic	ultrasound pulse sequences	resolution and SNR	[48–50]
	planar waves	combined with image reconstruction	speed	[51]
	HIFU	combined AOT and HIFU	monitoring HIFU	[47,52]
	microbubbles	TRUME; pulsed laser speckle contrast detection; fluorescent microbubbles	resolution and contrast	[53–55]
	acoustic radiation force	laser-speckle contrast analysis	track shear waves and estimate mechanical properties	[36,56–60]
optical	speckle contrast and modulation depth measurements	parallel speckle detection; speckle contrast; nanosecond laser pulses	obtaining modulated light measurements from speckle pattern	[61–65]
	incoherent light sources	LED light source; imaging chemiluminescent source; bioluminescence numerical model; fluorescent objects	observation of incoherent ultrasound modulated light	[21–23,66]
	interferometry and heterodyne holography	CMOS smart pixel array and FT-AOI; lock-in camera	amplification of unmodulated light signal without background amplification	[67–69]
	photorefractive crystal based detection	Sn₂P₂S₆:Te crystal; ND:YVO₄ crystal; Bi₁₂SiO₂₀ crystal; high numeric aperture fiber bundle; photorefractive polymer	detection of modulated or unmodulated light signal	[15,16,70–74]
	phase conjugation with photorefractive crystals and polymers	TRUE with Bi₁₂SiO₂₀ crystal, photorefractive polymer, or Sn₂P₂S₆:Te crystal, SLM	focus phase conjugated beam within a medium	[18,75–80]
	focused fluorescent excitation	TRUE; combining SLM-based illumination and PRC-based detection; digital phase conjugation; TROVE light; iTRUE	fluorescent imaging beyond the ballistic regime (~1 mm)	[81–88]
	quantum memory techniques	spectral hole burning; atomic frequency comb	filter sidebands of signal spectrum	[14,89–92]
misc.	acousto-optical coherence tomography	continuously applied light and ultrasound with random phase jumps	resolution and SNR	[93–96]
	combined with PAT	assist AOT:PAT guided ultrasound wavefront shaping	compensate for speed of sound aberrations	[97]
	combined with PAT	assist PAT:measuring fluence with AOT	compensate for fluence variations in PAT signal	[19,98,99]
	commercial	acquire dynamic blood flow measurements	clinical trials in humans	[100–102]

Tab.1

Fig.5

Fig.6

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