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Multispectral and Hyperspectral Imaging for Skin Acquisition and Analysis

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Technology in Practical Dermatology

Abstract

Multispectral and hyperspectral imaging are imaging modalities that collect more physical information than conventional color imaging, allowing detailed study of material properties. Applied to skin, these imaging methods enable noninvasive, pixel-by-pixel surface measurements, making them promising tools for in vivo skin study. In particular, skin spectral images can be analyzed using physics-based models, or artificial intelligence combined with databases. A typical application is the estimation of information such as melanin concentration and total blood volume fraction from a model-based approximation of skin structure and composition and a model of light–skin interaction.

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Author information

Authors and Affiliations

  1. Univ Lyon, UJM-Saint-Etienne, CNRS, Institut d Optique Graduate School, Saint-Etienne, France

    Lou Gevaux & Mathieu Hébert

  2. Department of Dermatology, University Hospital of Saint Etienne, Saint-Etienne, France

    Jean Luc Perrot

Authors
  1. Lou Gevaux
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  2. Jean Luc Perrot
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  3. Mathieu Hébert
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Corresponding author

Correspondence to Lou Gevaux .

Editor information

Editors and Affiliations

  1. Dermatology Unit, Department of Medical, Surgical and Neuro-Sciences, University of Siena, Siena, Italy

    Michele Fimiani

  2. Dermatology Unit, Department of Medical, Surgical and Neuro-Sciences, University of Siena, Siena, Italy

    Pietro Rubegni

  3. Dermatology Unit, Department of Medical, Surgical and Neuro-Sciences, University of Siena, Siena, Italy

    Elisa Cinotti

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Gevaux, L., Perrot, J.L., Hébert, M. (2020). Multispectral and Hyperspectral Imaging for Skin Acquisition and Analysis. In: Fimiani, M., Rubegni, P., Cinotti, E. (eds) Technology in Practical Dermatology. Springer, Cham. https://doi.org/10.1007/978-3-030-45351-0_26

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  • DOI: https://doi.org/10.1007/978-3-030-45351-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45350-3

  • Online ISBN: 978-3-030-45351-0

  • eBook Packages: MedicineMedicine (R0)

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