Optoacoustic Dermoscopy of the Human Skin: Tuning Excitation Energy for Optimal Detection Bandwidth with Fast and Deep Imaging in vivo

Schwarz M, Soliman D, Omar M, Buehler A, Ovsepian SV, Aguirre J, Ntziachristos V (2017)


Publication Type: Journal article

Publication year: 2017

Journal

Book Volume: 36

Pages Range: 1287-1296

Article Number: 7865979

Journal Issue: 6

DOI: 10.1109/TMI.2017.2664142

Abstract

Optoacoustic (photoacoustic) dermoscopy offers two principal advantages over conventional optical imaging applied in dermatology. First, it yields high-resolution cross-sectional images of the skin at depths not accessible to other non-invasive optical imaging methods. Second, by resolving absorption spectra at multiple wavelengths, it enables label-free 3D visualization of morphological and functional features. However, the relation of pulse energy to generated bandwidth and imaging depth remains poorly defined. In this paper, we apply computer models to investigate the optoacoustic frequency response generated by simulated skin. We relate our simulation results to experimental measurements of the detection bandwidth as a function of optical excitation energy in phantoms and human skin. Using raster-scan optoacoustic mesoscopy, we further compare the performance of two broadband ultrasonic detectors (a bandwidth of 20-180 and 10-90MHz) in acquiring optoacoustic readouts. Based on the findings of this paper, we propose energy ranges required for skin imaging with considerations of laser safety standards.

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How to cite

APA:

Schwarz, M., Soliman, D., Omar, M., Buehler, A., Ovsepian, S.V., Aguirre, J., & Ntziachristos, V. (2017). Optoacoustic Dermoscopy of the Human Skin: Tuning Excitation Energy for Optimal Detection Bandwidth with Fast and Deep Imaging in vivo. IEEE Transactions on Medical Imaging, 36(6), 1287-1296. https://dx.doi.org/10.1109/TMI.2017.2664142

MLA:

Schwarz, Mathias, et al. "Optoacoustic Dermoscopy of the Human Skin: Tuning Excitation Energy for Optimal Detection Bandwidth with Fast and Deep Imaging in vivo." IEEE Transactions on Medical Imaging 36.6 (2017): 1287-1296.

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