Automatic 3D segmentation of multiphoton images: a key step for the quantification of human skin

Abstract : Background/purpose: Multiphoton microscopy has emerged in the past decade as a useful non invasive imaging technique for in vivo human skin characterization. However, it has not been used until now in routine clinical practice, mainly because of the lack of specific image processing tools that would allow the investigator to extract pertinent quantitative three-dimensional (3D) information from the different skin components. Methods: We propose a 3D automatic segmentation method of multiphoton images which is a key step for epidermis and dermis quan-tification. This method, based on the morphological watershed and graph cuts algorithms, takes into account the real shape of the skin surface and of the dermal-epidermal junction and allows separating in 3D the epidermis and the superficial dermis. Results: The automatic segmentation method and the associated quantitative measurements have been developed and validated on a clinical database designed for aging characterization. The segmen-tation achieves its goals for epidermis-dermis separation and allows quantitative measurements inside the different skin compartments with sufficient relevance.
Type de document :
Article dans une revue
Skin Research and Technology, Wiley, 2013, 19, pp.115 - 124. 〈10.1111/srt.12019〉
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal-mines-paristech.archives-ouvertes.fr/hal-01082876
Contributeur : Etienne Decencière <>
Soumis le : vendredi 14 novembre 2014 - 15:04:28
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02
Document(s) archivé(s) le : lundi 16 février 2015 - 15:50:37

Fichier

skin_3d_segm.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Etienne Decencière, Emmanuelle Tancrède-Bohin, Petr Dokládal, Serge Koudoro, A.-M Pena, et al.. Automatic 3D segmentation of multiphoton images: a key step for the quantification of human skin. Skin Research and Technology, Wiley, 2013, 19, pp.115 - 124. 〈10.1111/srt.12019〉. 〈hal-01082876〉

Partager

Métriques

Consultations de la notice

156

Téléchargements de fichiers

160