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High-resolution ultrasound-modulated optical tomography in biological tissues

Sakadžić, Sava and Wang, Lihong V. (2004) High-resolution ultrasound-modulated optical tomography in biological tissues. Optics Letters, 29 (23). pp. 2770-2772. ISSN 0146-9592. doi:10.1364/OL.29.002770.

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We present a novel implementation of high-resolution ultrasound-modulated optical tomography that, based on optical contrast, can image several millimeters deep into soft biological tissues. A long-cavity confocal Fabry–Perot interferometer, which provides a large etendue and a short response time, was used to detect the ultrasound-modulated coherent light that traversed the scattering biological tissue. Using 15-MHz ultrasound, we imaged with high-contrast light-absorbing structures placed > 3 mm below the surface of chicken breast tissue. The resolution along the axial and the lateral directions with respect to the ultrasound propagation direction was better than 70 and 120 µm, respectively. The resolution can be scaled down further by use of higher ultrasound frequencies. This technology is complementary to other imaging technologies, such as confocal microscopy and optical-coherence tomography, and has the potential for broad biomedical applications.

Item Type:Article
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Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2004 Optical Society of America. Received July 9, 2004. We thank J. Li and K. Maslov for fruitful scientific discussions. This research was supported by the National Institutes of Health.
Funding AgencyGrant Number
Issue or Number:23
Classification Code:OCIS codes: 030.1670, 110.0180, 110.7050, 110.7170, 120.2230, 170.3880
Record Number:CaltechAUTHORS:20161207-145146291
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Official Citation:Sava Sakadžić and Lihong V. Wang, "High-resolution ultrasound-modulated optical tomography in biological tissues," Opt. Lett. 29, 2770-2772 (2004)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:72638
Deposited By: Tony Diaz
Deposited On:07 Dec 2016 22:57
Last Modified:11 Nov 2021 05:04

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