Retrieving skin properties from <i>in vivo</i> spectral reflectance measurements

Yudovsky, Dmitry; Pilon, Laurent

doi:10.1002/jbio.201000069

Cited by 42 publications

(42 citation statements)

References 82 publications

(165 reference statements)

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“…Recently, Yudovsky and Pilon [24] developed an inverse method for determining the melanin concentration C mel , blood volume fraction f blood , oxygen saturation SO 2 , epidermal thickness L epi , and transport scattering coefficient m s;tr of human skin. The dependence of the transport scattering coefficient on wavelength was expressed as a power law: m s;tr ¼ Cðl=l 0 Þ b as implemented in Ref.…”

Section: Tissue Spectroscopymentioning

confidence: 99%

“…This model has been validated against in vivo diffuse reflectance measurements of skin on the inner and outer forearm and forehead of subjects of white Caucasian and black African descent [24]. 2 and epidermal thickness L epi were averaged over an area 1 cm in diameter centered on the preulcer region over the fourth metatarsal head (solid line circle) and a control region over the second metatarsal head (dashed line circle) for each of the four visits.…”

Section: à9mentioning

confidence: 99%

“…Recently, Yudovsky and Pilon [22][23][24] developed a forward [22] and inverse method [23] to simultaneously determine, from diffuse reflectance spectra, (i) the melanin concentration and (ii) thickness of the epidermis, (iii) the volume fraction and oxygen saturation of blood in the dermis, and (iv) the scattering coefficient of skin [23,24]. Their algorithm was validated on in vivo reflectance measurements from white and black subjects [24].…”

Section: Introductionmentioning

confidence: 99%

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Monitoring temporal development and healing of diabetic foot ulceration using hyperspectral imaging

Yudovsky

Nouvong

Schomacker

et al. 2011

Journal of Biophotonics

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This study combines non-invasive hyperspectral imaging with an experimentally validated skin optical model and inverse algorithm to monitor diabetic feet of two representative patients. It aims to observe temporal changes in local epidermal thickness and oxyhemoglobin concentration and to gain insight into the progression of foot ulcer formation and healing. Foot ulceration is a debilitating comorbidity of diabetes that may result in loss of mobility and amputation. Inflammation and necrosis preempt ulceration and can result in changes in the skin prior to ulceration and during ulcer healing that affect oxygen delivery and consumption. Previous studies estimated oxyhemoglobin and deoxyhemoglobin concentrations around pre-ulcerative and ulcer sites on the diabetic foot using commercially available hyperspectral imaging systems. These measurements were successfully used to detect tissue at risk of ulceration and predict the healing potential of ulcers. The present study shows epidermal thickening and decrease in oxyhemoglobin concentration can also be detected prior to ulceration at pre-ulcerative sites. The algorithm was also able to observe reduction in the epidermal thickness combined with an increase in oxyhemoglobin concentration around the ulcer as it healed and closed. This methodology can be used for early prediction of diabetic foot ulceration in a clinical setting.

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Section: Tissue Spectroscopymentioning

confidence: 99%

Section: à9mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring temporal development and healing of diabetic foot ulceration using hyperspectral imaging

Yudovsky

Nouvong

Schomacker

et al. 2011

Journal of Biophotonics

Self Cite

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show abstract

“…24 Similarly, in normal skin, the average local tissue oxygen saturation has been shown to trend inversely with the amount of melanin in the skin as assessed across different skin colors (corresponding to pigmentation differences spanning Fitzpatrick types I to V), providing a clear indication that melanin can directly influence the interpretation of spectral signatures from blood. 25,26 SFDS can also estimate the site-specific melanin layer thickness and the layer-specific concentration of melanin in skin based on its spectral response. 27 This approach does not assume any layer thickness, but rather leverages the differential penetration depth of visible and NIR wavelengths.…”

Section: Introductionmentioning

confidence: 99%

In vivoisolation of the effects of melanin from underlying hemodynamics across skin types using spatial frequency domain spectroscopy

et al. 2016

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In vivo isolation of the effects of melanin from underlying hemodynamics across skin types using spatial frequency domain spectroscopy," J. Abstract. Skin is a highly structured tissue, raising concerns as to whether skin pigmentation due to epidermal melanin may confound accurate measurements of underlying hemodynamics. Using both venous and arterial cuff occlusions as a means of inducing differential hemodynamic perturbations, we present analyses of spectra limited to the visible or near-infrared regime, in addition to a layered model approach. The influence of melanin, spanning Fitzpatrick skin types I to V, on underlying estimations of hemodynamics in skin as interpreted by these spectral regions are assessed. The layered model provides minimal cross-talk between melanin and hemodynamics and enables removal of problematic correlations between measured tissue oxygenation estimates and skin phototype. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…Reflectance spectroscopy involves the measurement and study of the reflected electromagnetic energy from a material. Reflectance spectroscopy of the skin surface can be performed non-invasively to sense the subsurface skin chemical distributions [9] and has been used by various researchers [11][12][13][14][15][16] for skin characterization.…”

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confidence: 99%

Is spectral reflectance of the face a reliable biometric?

Uzair¹,

Mahmood²,

Nansen³

et al. 2015

Opt. Express

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Over a decade ago, Pan et al. [IEEE TPAMI 25, 1552] performed face recognition using only the spectral reflectance of the face at six points and reported around 95% recognition rate. Since their database is private, no one has been able to replicate these results. Moreover, due to the unavailability of public datasets, there has been no detailed study in the literature on the viability of facial spectral reflectance for person identification. In this study, we introduce a new public database of facial spectral reflectance profiles measured with a high precision spectrometer. For each of the 40 subjects, spectral reflectance was measured at the same six points as Pan et al. [IEEE TPAMI 25, 1552] in multiple sessions and with time lapse. Furthermore, we sample the facial spectral reflectance from two public hyperspectral face image datasets and analyzed the data using state of the art face classification techniques. The best performing classifier achieved the maximum rank-1 identification rate of 53.8%. We conclude that facial spectral reflectance alone is not a reliable biometric for unconstrained face recognition.

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Retrieving skin properties from in vivo spectral reflectance measurements

Cited by 42 publications

References 82 publications

Monitoring temporal development and healing of diabetic foot ulceration using hyperspectral imaging

Monitoring temporal development and healing of diabetic foot ulceration using hyperspectral imaging

In vivoisolation of the effects of melanin from underlying hemodynamics across skin types using spatial frequency domain spectroscopy

Is spectral reflectance of the face a reliable biometric?

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