Browse > Article
http://dx.doi.org/10.3807/JOSK.2014.18.2.151

Array-Based Real-Time Ultrasound and Photoacoustic Ocular Imaging  

Nam, Seung Yun (Department of Biomedical Engineering, University of Texas at Austin)
Emelianov, Stanislav Y. (Department of Biomedical Engineering, University of Texas at Austin)
Publication Information
Journal of the Optical Society of Korea / v.18, no.2, 2014 , pp. 151-155 More about this Journal
Abstract
Although various ophthalmic imaging methods, including fundus photography and optical coherence tomography, have been applied for effective diagnosis of ocular diseases with high spatial resolution, most of them are limited by shallow imaging penetration depth and a narrow field of view. Also, many of those imaging modalities are optimized to provide microscopic anatomical information, while functional or cellular information is lacking. Compared to other ocular imaging modalities, photoacoustic imaging can achieve relatively deep penetration depth and provide more detailed functional and cellular data based on photoacoustic signal generation from endogenous contrast agents such as hemoglobin and melanin. In this paper, array-based ultrasound and photoacoustic imaging was demonstrated to visualize pigmentation in the eye as well as overall ocular structure. Fresh porcine eyes were visualized using a real-time ultrasound micro-imaging system and an imaging probe supporting laser pulse delivery. In addition, limited photoacoustic imaging field of view was improved by an imaging probe tilting method, enabling visualization of most regions of the retina covered in the ultrasound imaging.
Keywords
Photoacoustic imaging; Ultrasound imaging; Ocular imaging; Ophthalmic imaging; Retinal imaging;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 N. H. Cho, U. Jung, S. Kim, W. Jung, J. Oh, H. W. Kang, and J. Kim, "High speed SD-OCT system using GPU accelerated mode for in vivo human eye imaging," J. Opt. Soc. Korea 17, 68-72 (2013).   과학기술학회마을   DOI   ScienceOn
2 S. Mallidi, G. P. Luke, and S. Emelianov, "Photoacoustic imaging in cancer detection, diagnosis, and treatment guidance," Trends in Biotechnology 29, 213-221 (2011).   DOI   ScienceOn
3 J. Lammer, C. Scholda, C. Prunte, T. Benesch, U. Schmidt- Erfurth, and M. Bolz, "Retinal thickness and volume measurements in diabetic macular edema: A comparison of four optical coherence tomography systems," Retina 31, 48-55 (2011).   DOI
4 F. Prati, E. Regar, G. S. Mintz, E. Arbustini, C. Di Mario, I.-K. Jang, T. Akasaka, M. Costa, G. Guagliumi, and E. Grube, "Expert review document on methodology, terminology, and clinical applications of optical coherence tomography: Physical principles, methodology of image acquisition, and clinical application for assessment of coronary arteries and atherosclerosis," European Heart Journal 31, 401-415 (2010).   DOI   ScienceOn
5 V. Ntziachristos, "Going deeper than microscopy: The optical imaging frontier in biology," Nature methods 7, 603-614 (2010).   DOI   ScienceOn
6 S. Y. Nam, L. M. Ricles, L. J. Suggs, and S. Y. Emelianov, "In vivo ultrasound and photoacoustic monitoring of mesenchymal stem cells labeled with gold nanotracers," PLoS One 7, e37267 (2012).   DOI
7 L. V. Wang and S. Hu, "Photoacoustic tomography: In vivo imaging from organelles to organs," Science 335, 1458-1462 (2012).   DOI
8 P. Beard, "Biomedical photoacoustic imaging," Interface Focus 1, 602-631 (2011).   DOI   ScienceOn
9 S. Y. Emelianov, P.-C. Li, and M. O'Donnell, "Photoacoustics for molecular imaging and therapy," Physics Today 62, 34 (2009).
10 W. Song, Q. Wei, T. Liu, D. Kuai, J. M. Burke, S. Jiao, and H. F. Zhang, "Integrating photoacoustic ophthalmoscopy with scanning laser ophthalmoscopy, optical coherence tomography, and fluorescein angiography for a multimodal retinal imaging platform," Journal of Biomedical Optics 17, 061206- 1-061206-7 (2012).   DOI
11 X. Zhang, H. F. Zhang, C. A. Puliafito, and S. Jiao, "Simultaneous in vivo imaging of melanin and lipofuscin in the retina with photoacoustic ophthalmoscopy and autofluorescence imaging," Journal of Biomedical Optics 16, 080504-080504-080503 (2011).   DOI   ScienceOn
12 S. Jiao, M. Jiang, J. Hu, A. Fawzi, Q. Zhou, K. K. Shung, C. A. Puliafito, and H. F. Zhang, "Photoacoustic ophthalmoscopy for in vivo retinal imaging," Opt. Express 18, 3967-3972 (2010).   DOI
13 B. C. Hayden, L. Kelley, and A. D. Singh, "Ophthalmic ultrasonography: Theoretic and practical considerations," Ultrasound Clinics 3, 179-183 (2008).   DOI
14 M. Niemeijer, B. van Ginneken, S. R. Russell, M. S. Suttorp-Schulten, and M. D. Abramoff, "Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis," Investigative Ophthalmology & Visual Science 48, 2260-2267 (2007).   DOI   ScienceOn