Effects of skin tone on photoacoustic imaging and oximetry.


Journal

Journal of biomedical optics
ISSN: 1560-2281
Titre abrégé: J Biomed Opt
Pays: United States
ID NLM: 9605853

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 17 08 2023
revised: 02 11 2023
accepted: 28 11 2023
medline: 22 12 2023
pubmed: 21 12 2023
entrez: 21 12 2023
Statut: ppublish

Résumé

Photoacoustic imaging (PAI) provides contrast based on the concentration of optical absorbers in tissue, enabling the assessment of functional physiological parameters such as blood oxygen saturation ( To examine the effects of skin melanin pigmentation on PAI and oximetry. We evaluated the effects of skin tone in PAI using a computational skin model, two-layer melanin-containing tissue-mimicking phantoms, and mice of a consistent genetic background with varying pigmentations. The computational skin model was validated by simulating the diffuse reflectance spectrum using the adding-doubling method, allowing us to assign our simulation parameters to approximate Fitzpatrick skin types. Monte Carlo simulations and acoustic simulations were run to obtain idealized photoacoustic images of our skin model. Photoacoustic images of the phantoms and mice were acquired using a commercial instrument. Reconstructed images were processed with linear spectral unmixing to estimate blood oxygenation. Linear unmixing results were compared with a learned unmixing approach based on gradient-boosted regression. Our computational skin model was consistent with representative literature for PAI demonstrates measurement bias, including an overestimation of blood

Identifiants

pubmed: 38125716
doi: 10.1117/1.JBO.29.S1.S11506
pii: 230232SSR
pmc: PMC10732256
doi:

Substances chimiques

Oxygen S88TT14065
Melanins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

S11506

Subventions

Organisme : Cancer Research UK
ID : 21142
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 28870
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 29448
Pays : United Kingdom

Informations de copyright

© 2023 The Authors.

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Auteurs

Thomas R Else (TR)

University of Cambridge, CRUK Cambridge Institute, Cambridge, United Kingdom.
University of Cambridge, Department of Physics, Cambridge, United Kingdom.

Lina Hacker (L)

University of Cambridge, CRUK Cambridge Institute, Cambridge, United Kingdom.
University of Cambridge, Department of Physics, Cambridge, United Kingdom.

Janek Gröhl (J)

University of Cambridge, CRUK Cambridge Institute, Cambridge, United Kingdom.
University of Cambridge, Department of Physics, Cambridge, United Kingdom.

Ellie V Bunce (EV)

University of Cambridge, CRUK Cambridge Institute, Cambridge, United Kingdom.
University of Cambridge, Department of Physics, Cambridge, United Kingdom.

Ran Tao (R)

University of Cambridge, CRUK Cambridge Institute, Cambridge, United Kingdom.
University of Cambridge, Department of Physics, Cambridge, United Kingdom.

Sarah E Bohndiek (SE)

University of Cambridge, CRUK Cambridge Institute, Cambridge, United Kingdom.
University of Cambridge, Department of Physics, Cambridge, United Kingdom.

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Classifications MeSH