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A novel image processing workflow for the in vivo quantification of skin microvasculature using dynamic optical coherence tomography.
Skin Res Technol. 2018 Aug; 24(3):396-406.SR

Abstract

BACKGROUND

Currently, imaging technologies that can accurately assess or provide surrogate markers of the human cutaneous microvessel network are limited. Dynamic optical coherence tomography (D-OCT) allows the detection of blood flow in vivo and visualization of the skin microvasculature. However, image processing is necessary to correct images, filter artifacts, and exclude irrelevant signals. The objective of this study was to develop a novel image processing workflow to enhance the technical capabilities of D-OCT.

MATERIALS AND METHODS

Single-center, vehicle-controlled study including healthy volunteers aged 18-50 years. A capsaicin solution was applied topically on the subject's forearm to induce local inflammation. Measurements of capsaicin-induced increase in dermal blood flow, within the region of interest, were performed by laser Doppler imaging (LDI) (reference method) and D-OCT.

RESULTS

Sixteen subjects were enrolled. A good correlation was shown between D-OCT and LDI, using the image processing workflow. Therefore, D-OCT offers an easy-to-use alternative to LDI, with good repeatability, new robust morphological features (dermal-epidermal junction localization), and quantification of the distribution of vessel size and changes in this distribution induced by capsaicin. The visualization of the vessel network was improved through bloc filtering and artifact removal. Moreover, the assessment of vessel size distribution allows a fine analysis of the vascular patterns.

CONCLUSION

The newly developed image processing workflow enhances the technical capabilities of D-OCT for the accurate detection and characterization of microcirculation in the skin. A direct clinical application of this image processing workflow is the quantification of the effect of topical treatment on skin vascularization.

Authors+Show Affiliations

Nestlé Skin Health-Galderma R&D, Sophia Antipolis, Biot, France.Thales, Sophia Antipolis, Biot, France.Nestlé Skin Health-Galderma R&D, Sophia Antipolis, Biot, France.Nestlé Skin Health-Galderma R&D, Sophia Antipolis, Biot, France.Nestlé Skin Health-Galderma R&D, Sophia Antipolis, Biot, France.Nestlé Skin Health-Galderma R&D, Sophia Antipolis, Biot, France.Nestlé Skin Health-Galderma R&D, Sophia Antipolis, Biot, France.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29399881

Citation

Zugaj, D, et al. "A Novel Image Processing Workflow for the in Vivo Quantification of Skin Microvasculature Using Dynamic Optical Coherence Tomography." Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), vol. 24, no. 3, 2018, pp. 396-406.
Zugaj D, Chenet A, Petit L, et al. A novel image processing workflow for the in vivo quantification of skin microvasculature using dynamic optical coherence tomography. Skin Res Technol. 2018;24(3):396-406.
Zugaj, D., Chenet, A., Petit, L., Vaglio, J., Pascual, T., Piketty, C., & Bourdes, V. (2018). A novel image processing workflow for the in vivo quantification of skin microvasculature using dynamic optical coherence tomography. Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 24(3), 396-406. https://doi.org/10.1111/srt.12442
Zugaj D, et al. A Novel Image Processing Workflow for the in Vivo Quantification of Skin Microvasculature Using Dynamic Optical Coherence Tomography. Skin Res Technol. 2018;24(3):396-406. PubMed PMID: 29399881.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A novel image processing workflow for the in vivo quantification of skin microvasculature using dynamic optical coherence tomography. AU - Zugaj,D, AU - Chenet,A, AU - Petit,L, AU - Vaglio,J, AU - Pascual,T, AU - Piketty,C, AU - Bourdes,V, Y1 - 2018/02/04/ PY - 2018/01/04/accepted PY - 2018/2/6/pubmed PY - 2018/12/20/medline PY - 2018/2/6/entrez KW - dynamic optical coherence tomography KW - image processing workflow KW - in vivo blood flow detection KW - laser Doppler imaging KW - skin vascularization KW - topical treatment KW - vessel size distribution KW - visualization SP - 396 EP - 406 JF - Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) JO - Skin Res Technol VL - 24 IS - 3 N2 - BACKGROUND: Currently, imaging technologies that can accurately assess or provide surrogate markers of the human cutaneous microvessel network are limited. Dynamic optical coherence tomography (D-OCT) allows the detection of blood flow in vivo and visualization of the skin microvasculature. However, image processing is necessary to correct images, filter artifacts, and exclude irrelevant signals. The objective of this study was to develop a novel image processing workflow to enhance the technical capabilities of D-OCT. MATERIALS AND METHODS: Single-center, vehicle-controlled study including healthy volunteers aged 18-50 years. A capsaicin solution was applied topically on the subject's forearm to induce local inflammation. Measurements of capsaicin-induced increase in dermal blood flow, within the region of interest, were performed by laser Doppler imaging (LDI) (reference method) and D-OCT. RESULTS: Sixteen subjects were enrolled. A good correlation was shown between D-OCT and LDI, using the image processing workflow. Therefore, D-OCT offers an easy-to-use alternative to LDI, with good repeatability, new robust morphological features (dermal-epidermal junction localization), and quantification of the distribution of vessel size and changes in this distribution induced by capsaicin. The visualization of the vessel network was improved through bloc filtering and artifact removal. Moreover, the assessment of vessel size distribution allows a fine analysis of the vascular patterns. CONCLUSION: The newly developed image processing workflow enhances the technical capabilities of D-OCT for the accurate detection and characterization of microcirculation in the skin. A direct clinical application of this image processing workflow is the quantification of the effect of topical treatment on skin vascularization. SN - 1600-0846 UR - https://www.unboundmedicine.com/medline/citation/29399881/A_novel_image_processing_workflow_for_the_in_vivo_quantification_of_skin_microvasculature_using_dynamic_optical_coherence_tomography_ DB - PRIME DP - Unbound Medicine ER -