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Deep reflection-mode photoacoustic imaging of biological tissue
Open accessAbstract
A reflection-mode photoacoustic (PA) imaging system was designed and built to image deep structures in biological tissues. We chose near-infrared laser pulses of 804-nm wavelength for PA excitation to achieve deep penetration. To minimize unwanted surface signals, we adopted dark-field ring-shaped illumination. This imaging system employing a 5-MHz spherically focused ultrasonic transducer provides penetration up to 38 mm in chicken breast tissue. At the 19-mm depth, the axial resolution is 144 microm and the transverse resolution is 560 microm. Internal organs of small animals were imaged clearly.
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Cited by
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Self-citationYao, J., & Wang, L. V. (2013) · Laser & Photonics Reviews · doi:10.1002/lpor.201200060 · Cited by 616
Self-citationProspects of photoacoustic tomography
Wang, L. V. (2008) · Medical Physics · doi:10.1118/1.3013698 · Cited by 561
Self-citationIn Vivo Molecular Photoacoustic Tomography of Melanomas Targeted by Bioconjugated Gold Nanocages
Kim, C., Cho, E. C., Chen, J., Song, K. H., Au, L., Favazza, C., Zhang, Q., Cobley, C. M., Gao, F., Xia, Y., et al. (2010) · ACS Nano · doi:10.1021/nn100736c · Cited by 462
Self-citationIndocyanine Green J Aggregates in Polymersomes for Near-Infrared Photoacoustic Imaging
Changalvaie, B., Han, S., Moaseri, E., Scaletti, F., Truong, L., Caplan, R., Cao, A., Bouchard, R., Truskett, T. M., Sokolov, K. V., et al. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b14519 · Cited by 93
Metadata
- Authors
- Song, K. H., & Wang, L. V.
- Venue
- Journal of Biomedical Optics
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 2007
- Volume
- 12
- Issue
- 6
- Pages
- 060503
- ISSN
- 1083-3668 (ISSN-L)
- OpenAlex
- W2156906835
- Cited by
- 181
- References
- 0
- FWCI
- 10.74
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Song, K. H., & Wang, L. V. (2007). Deep reflection-mode photoacoustic imaging of biological tissue. Journal of Biomedical Optics. https://doi.org/10.1117/1.2818045
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
