Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy

Background Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering. Materials and Methods Images...

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Veröffentlicht in:Skin research and technology 2020-09, Vol.26 (5), p.664-670
Hauptverfasser: Oharazawa, Akihiko, Ogino, Masaki, Sugahara, Masaru, Tanahashi, Masanori
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container_end_page 670
container_issue 5
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container_title Skin research and technology
container_volume 26
creator Oharazawa, Akihiko
Ogino, Masaki
Sugahara, Masaru
Tanahashi, Masanori
description Background Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering. Materials and Methods Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth. Results Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. In examining physiological responses to stimuli on the skin, it was found that exposure to CO2 for 2 minutes significantly increased the capillary area compared with the steady state. Conclusion An algorithm to extract capillaries from skin images using ICA and the Frangi filter method was proposed. Results suggest that this algorithm can quantitatively analyze physiological changes in capillaries on the skin surface.
doi_str_mv 10.1111/srt.12850
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In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering. Materials and Methods Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth. Results Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. In examining physiological responses to stimuli on the skin, it was found that exposure to CO2 for 2 minutes significantly increased the capillary area compared with the steady state. Conclusion An algorithm to extract capillaries from skin images using ICA and the Frangi filter method was proposed. 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In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering. Materials and Methods Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth. Results Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. 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In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering. Materials and Methods Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth. Results Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. 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source Wiley-Blackwell Open Access Titles
subjects Algorithms
blood vessel extraction
Blood vessels
Capillaries
Carbon dioxide
CO2 application on skin
Ground truth
Image acquisition
image processing
Independent component analysis
non‐invasive analysis
physiological response
Physiological responses
Physiology
Skin
title Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy
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