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Optoacoustic mesoscopy analysis and quantitative estimation of specific imaging metrics in Fitzpatrick skin phototypes II to V.
Li, Xiuting; Dinish, U S; Aguirre, Juan; Bi, Renzhe; Dev, Kapil; Attia, Amalina Binte Ebrahim; Nitkunanantharajah, Suhanyaa; Lim, Qian Han; Schwarz, Mathias; Yew, Yik Weng; Thng, Steven Tien Guan; Ntziachristos, Vasilis; Olivo, Malini.
Afiliação
  • Li X; Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
  • Dinish US; Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
  • Aguirre J; Technical University of Munich, Munich, Germany.
  • Bi R; Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
  • Dev K; Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
  • Attia ABE; Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
  • Nitkunanantharajah S; Technical University of Munich, Munich, Germany.
  • Lim QH; Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
  • Schwarz M; iThera Medical GmbH, Munich, Germany.
  • Yew YW; National Skin Centre, Singapore.
  • Thng STG; National Skin Centre, Singapore.
  • Ntziachristos V; Technical University of Munich, Munich, Germany.
  • Olivo M; Institute for Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
J Biophotonics ; 12(9): e201800442, 2019 09.
Article em En | MEDLINE | ID: mdl-31012286
ABSTRACT
Raster Scanning Optoacoustic Mesoscopy (RSOM) is a novel optoacoustic imaging modality that offers non-invasive, label-free, high resolution (~7 µm axial, ~30 µm lateral) imaging up to 1 to 2 mm below the skin, providing novel quantitative insights into skin pathophysiology. As the RSOM image contrast mechanism is based on light absorption, it is expected that the amount of melanin present in the skin will affect RSOM images. However, the effect of skin tone in the performance of RSOM has not been addressed so far. Herein, we present the efficiency of RSOM for in vivo skin imaging of human subjects with Fitzpatrick (FP) skin types between II to V. RSOM images acquired from the volar forearms of the subjects were used to derive metrics used in RSOM studies, such as total blood volume, vessel diameter and melanin signal intensity. Our study shows that the melanin signal intensity derived from the RSOM images exhibited an excellent correlation with that obtained from a clinical colorimeter for the subjects of varying FP skin types. We could successfully estimate the vessel diameter at different depths of the dermis. Furthermore, our study shows that there is a need to compensate for total blood volume calculated for subjects with higher FP skin types due to the lower signal-to-noise ratio in dermis, owing to strong absorption of light by melanin. This study sheds light into how RSOM can be used for studying various skin conditions in populations with different skin phenotypes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fotoquímica / Pele / Acústica / Colorimetria / Óptica e Fotônica Limite: Humans Idioma: En Revista: J Biophotonics Assunto da revista: BIOFISICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Singapura

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fotoquímica / Pele / Acústica / Colorimetria / Óptica e Fotônica Limite: Humans Idioma: En Revista: J Biophotonics Assunto da revista: BIOFISICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Singapura