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Optoacoustic dermoscopy of the human skin: Tuning excitation energy for optimal detection bandwidth with fast and deep imaging in vivo.

IEEE Trans. Med. Imaging 36, 1287-1296 (2017)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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 three-dimensional visualization of morphological and functional features. However, the relation of pulse energy to generated bandwidth and imaging depth remains poorly defined. In this study, 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 (RSOM), we further compare the performance of two broadband ultrasonic detectors (bandwidth of 20-180 MHz and 10-90 MHz) in acquiring optoacoustic readouts. Based on the findings of this study, we propose energy ranges required for skin imaging with considerations of laser safety standards.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Angiographic Imaging ; Evaluation And Performance ; Image Quality Assessment ; Optimization ; Optoacoustic/photo-acoustic Imaging ; Skin ; Tissue Modelling ; Vessels ; Visualization
Sprache
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Quellenangaben Band: 36, Heft: 6, Seiten: 1287-1296 Artikelnummer: , Supplement: ,
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Verlagsort New York, NY [u.a.]
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505500-001
PubMed ID 28278460
Scopus ID 85021417975
Erfassungsdatum 2017-06-21