Melanin and Hemoglobin Identification for Skin Disease Analysis

Liu, Zhao; Zerubia, Josiane

doi:10.1109/acpr.2013.9

Cited by 12 publications

(8 citation statements)

References 10 publications

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“…Images were divided into their red, green, and blue image planes, and for each pixel, a hemoglobin index ( C Hb ) was calculated using a modification of the technique presented by Liu and Zerubia 12 . In short, changes in intensity in the green and blue images planes are largely caused by changes in the concentration of hemoglobin and melanin, while changes in the red plane mainly depend on changes in the concentration of melanin.…”

Section: Methodsmentioning

confidence: 99%

“…11 Images were divided into their red, green, and blue image planes, and for each pixel, a hemoglobin index (C Hb ) was calculated using a modification of the technique presented by Liu and Zerubia. 12 In short, changes in intensity in the green and blue images planes are largely caused by changes in the concentration of hemoglobin and melanin, while changes in the red plane mainly depend on changes in the concentration of melanin. By combining the information from the three image planes and based on absorption coefficients and the penetration depth of the illuminating light, the concentration of hemoglobin (C Hb ) can be estimated from the red (R), green (G), and blue (B) pixel values for each pixel in the image using the following algorithm:…”

Section: Smartphone Imagingmentioning

confidence: 99%

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Objective assessment of skin microcirculation using a smartphone camera

Tesselaar

Farnebo

2020

Skin Research and Technology

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Background Existing techniques for assessment of microcirculation are limited by their large size and high costs and are often not so easy to use. Advances in mobile technology have enabled great improvements in smartphone sensor technology. In this study, we used SkinSight, an app for iPhone and iPad, to measure changes in skin microcirculation during physiological provocations. The system estimates changes in the concentration of hemoglobin in the skin by analyzing the reflected light emitted from the built‐in light‐emitting diode and detected by the camera of the smartphone. Methods A relative hemoglobin (Hb) index was measured during a 5‐min arterial occlusion, post‐occlusive reactive hyperemia, and a 5‐min venous occlusion in 10 healthy subjects, on two separate days. The index was calculated in an area of the skin from the color information in the images acquired by the phone camera. Polarized light spectroscopy imaging was used to measure changes in red blood cell concentration for comparison. Results During arterial occlusion, relative Hb index was unchanged compared to baseline (P = .40). After release of the cuff, a sudden 60%‐75% increase in Hb index was observed (P < .001) followed by a gradual return to baseline. During venous occlusion, Hb index increased by 80% (P < .001) followed by a gradual decrease to baseline after reperfusion. Day‐to‐day reproducibility of the relative Hb index was excellent (ICC: 0.92, r = 0.94), although relative Hb index was consistently higher during the second day, possibly as a result of changed lighting conditions or calibration issues. Conclusion Microvascular responses to physiological provocations in the skin can be accurately and reproducibly measured using a smartphone application. Although the system offers a handheld, easy to use and flexible technique for skin microvascular assessment, the effects of lighting on the measured values and need for calibration need to be further investigated.

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Section: Methodsmentioning

confidence: 99%

Section: Smartphone Imagingmentioning

confidence: 99%

Objective assessment of skin microcirculation using a smartphone camera

Tesselaar

Farnebo

2020

Skin Research and Technology

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“…Hemoglobin in red blood cells is the pigment which has light absorption ability. In [36] claimed that the absorption spectrum of hemoglobin is associates with wavelength. Fig.…”

Section: W L Khong Et Al J Fundam Appl Sci 2017 9(3s) 858-886 877mentioning

confidence: 99%

National instruments labVIEW and video imaging technique for health status monitoring

Khong

Rao

Mariappan

2018

J. Fundam and Appl Sci.

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It is essential to monitor military diseases (CVD). Physiological parameters such as heart beat rate, blood pressure and electrocardiogram (ECG) features are the machines normally used to obtain heart beat rate and ECG features in health facilities are bulky, expensive and the heart's rhythms and activities are re which requires professional cardiologist for interpretation. In this study, National Instruments (NI) LabVIEW Biomedical Workbench with Data Acquisition Device (DAQ) is proposed as an alternative method to receive, save, handle and extract ECG features because of its simplicity, transferability and reliability.

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“…Skin chromophores and their influence on skin color perception are a major concern in dermatology and cosmetics in order to evaluate pigmentation issues [1][2][3]. Non-invasive imaging systems of the skin are used in a wide range of clinical applications in the last decades, in particular in order to get information on pigmentation disorders: melanin index, port wine vein, vitiligo, erythema [4][5]… Since pigmentation determines the spectral reflectance of the skin, the best way to observe it is to make images in different spectral bands, either in three wide spectral bands as in classical RGB imaging [6][7], or in more than 10 short spectral bands as in multispectral imaging [8][9]. There already exist several multispectral imaging instruments for skin observation on the marketplace (e.g.…”

Section: Introductionmentioning

confidence: 99%

Model-based Skin Pigment Cartography by High-Resolution Hyperspectral Imaging

Séroul¹,

Hébert²,

Cherel³

et al. 2017

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The determination of local components in human skin from in-vivo spectral reflectance measurements is crucial for medical applications, especially for aiding the diagnostic of skin diseases. Hyper-spectral imaging is a convenient technique since one spectrum is acquired in each pixel of the image, and by inverting a light scattering model, we can retrieve the concentrations of skin components in each pixel. The good performance of the method presented in this paper comes from both the imaging system and the model. The hyper-spectral camera that we conceived uses polarizing filters in order to remove gloss effects generated by the stratum corneum; it provides a high resolution image (1120 × 900 pixels), with a thin spectral sampling of 10 nm over the visible spectrum. The acquisition time of 2 seconds is short enough to prevent movement effects of the imaged area, which is usually the main issue in hyperspectral imaging. The model relies on a two-layer model for the skin, and the Kubelka-Munk theory with Saunderson correction for the light reflection. An optimization method enables computing, in less than one hour, several skin parameters in each of the million of pixels. These parameters (blood, melanin and bilirubin volume fractions, oxygen saturation…) are then displayed under the form of density images. Different skin structures, such as veins, blood capillaries, hematoma or pigmented spots, can be highlighted. The deviation between the measured spectrum and the one computed from the fitted parameters is evaluated in each pixel.

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Melanin and Hemoglobin Identification for Skin Disease Analysis

Cited by 12 publications

References 10 publications

Objective assessment of skin microcirculation using a smartphone camera

Objective assessment of skin microcirculation using a smartphone camera

National instruments labVIEW and video imaging technique for health status monitoring

Model-based Skin Pigment Cartography by High-Resolution Hyperspectral Imaging

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