Morphology and Epidermal Thickness of Normal Skin Imaged by Optical Coherence Tomography

Mogensen, Mette; Morsy, Hanan; Thrane, Lars; Jemec, Gregor B. E.

doi:10.1159/000118508

Cited by 158 publications

(151 citation statements)

References 71 publications

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“…elsewhere [5,6,17,18]. The final FEA meshes consisted of approximately 100000 solid tetrahedral elements and 7000 shell elements for the skin layer.…”

Section: Solid and Surface Meshingmentioning

confidence: 99%

On the Importance of 3D, Geometrically Accurate, and Subject-Specific Finite Element Analysis for Evaluation of in-Vivo Soft Tissue Loads

Moerman¹,

Vijven²,

Solis³

et al. 2016

Preprint

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Pressure ulcers are a type of local soft tissue injury due to sustained mechanical loading and remain a common issue in patient care. People with spinal cord injury (SCI) are especially at risk of pressure ulcers due to impaired mobility and sensory perception. The development of load improving support structures relies on realistic tissue load evaluation e.g. using finite element analysis (FEA). FEA requires realistic subject-specific mechanical properties and geometries. This study focuses on the effect of geometry. MRI is used for the creation of geometrically accurate models of the human buttock for three able-bodied volunteers and three volunteers with SCI. The effect of geometry on observed internal tissue deformations for each subject is studied by comparing FEA findings for equivalent loading conditions. The large variations found between subjects confirms the importance of subject-specific FEA.

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“…elsewhere [5,6,17,18]. The final FEA meshes consisted of approximately 100000 solid tetrahedral elements and 7000 shell elements for the skin layer.…”

Section: Solid and Surface Meshingmentioning

confidence: 99%

On the Importance of 3D, Geometrically Accurate, and Subject-Specific Finite Element Analysis for Evaluation of in-Vivo Soft Tissue Loads

Moerman¹,

Vijven²,

Solis³

et al. 2016

Preprint

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show abstract

“…In normal skin (Fig. 11 a), usually a clear boundary between stratum corneum and the living part of the epidermis can be seen, and the epidermis can be distinguished from the dermis in OCT images [207,208]. Because OCT is typically not capable of resolving single cells, diagnosing diseases must rely on a change in the skin morphology (Fig.…”

Section: Dermatologymentioning

confidence: 99%

“…Because OCT is typically not capable of resolving single cells, diagnosing diseases must rely on a change in the skin morphology (Fig. 11 b), such as a break up of tissue layers, general disordered structure or change in amount of backscattered light compared to normal skin [207,209]. For instance, OCT can visualize loss of normal skin architecture in malig-nant melanomas, which could be used to differentiate them from benign melanocytic nevi [210].…”

Section: Dermatologymentioning

confidence: 99%

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Optical coherence tomography—current technology and applications in clinical and biomedical research

et al. 2011

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Optical coherence tomography (OCT) is a non-invasive imaging technique providing real-time twoand three-dimensional images of scattering samples with micrometer resolution. Mapping the local reflectivity, OCT visualizes the morphology of the sample. In addition, functional properties such as birefringence, motion or the distribution of certain substances can be detected with high spatial resolution. The main field of application is bio-medical imaging and diagnostics. In ophthalmology, OCT is accepted as a clinical standard for diagnosing and monitoring treatment of a number of retinal diseases, and OCT is becoming an important instrument for clinical cardiology. New applications are emerging in various medical fields, e. g. early-stage cancer detection, surgical guidance, and early diagnosis of musculoskeletal diseases. OCT has also proven its value as a tool for developmental biology. The number of companies involved in manufacturing OCT systems has increased substantially during the last years-especially due to its success in opthalmology-and this technology can be expected to continue to spread into various fields of application.

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“…Boncheva et al also showed correlation between CRS and skin conductance related to water content measurement [22]. As optical coherence tomography (OCT) has been widely used for measurement of epidermal thickness [23][24][25][26][27], Crowthers et al published a validation study for SC thickness measurement between CRS and OCT [19]. However, the results showed correlation only for thick SC body sites (palm) and no correlation within the thin SC regions of the forearm, cheek, and leg.…”

Section: Introductionmentioning

confidence: 99%

A Consensus Modeling Approach for the Determination of Stratum Corneum Thickness Using In-Vivo Confocal Raman Spectroscopy

Hancewicz¹,

Xiao²,

Weissman³

et al. 2012

JCDSA

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The measurement of stratum corneum (SC) thickness from in-vivo Raman water concentration depth profiles is gaining in popularity and appeal due to the availability and ease of use of in-vivo confocal Raman measurement systems. The foundation of these measurements relies on high-quality confocal Raman spectroscopy of skin and the robust numerical analysis of water profiles, which allow for accurate determination of SC thickness. These measurements are useful for studying intrinsic skin hydration profiles at different body sites and for determining hydration properties of skin related to topically applied materials. While the use of high-quality in-vivo Raman instrumentation has become routine and its use for SC thickness measurement widely reported, there is lack of agreement as to the best method of computing SC thickness values from Raman water profiles. Several methods have been proposed and are currently in use for such computations, but none of these methods has been critically evaluated. The work reported in this paper describes a new method for the determination of stratum corneum thickness from in-vivo confocal Raman water profiles. The method represents a consensus approach to the problem, which was found necessary to apply in order to properly model and quantify the large diversity of water profile types encountered in typical in-vivo Raman water measurement. The methodology is evaluated for performance using three criteria: 1) frequency of minimum fitting error on modeling to a standard numerical function; 2) frequency of minimum model error for consensus vs. individual SC thickness values; and 3) correlation with reflectance confocal microscopy (RCM) values for SC thickness. The correlation study shows this approach to be a reasonable replacement for the more tedious and time-consuming RCM method with R 2 = 0.68 and RMS error = 3.7 microns over the three body sites tested (cheek, forearm and leg).

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Morphology and Epidermal Thickness of Normal Skin Imaged by Optical Coherence Tomography

Cited by 158 publications

References 71 publications

On the Importance of 3D, Geometrically Accurate, and Subject-Specific Finite Element Analysis for Evaluation of in-Vivo Soft Tissue Loads

On the Importance of 3D, Geometrically Accurate, and Subject-Specific Finite Element Analysis for Evaluation of in-Vivo Soft Tissue Loads

Optical coherence tomography—current technology and applications in clinical and biomedical research

A Consensus Modeling Approach for the Determination of Stratum Corneum Thickness Using In-Vivo Confocal Raman Spectroscopy

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