Quantitative Evaluation of Skin Surface Roughness Using Optical Coherence Tomography &lt;italic&gt;In Vivo &lt;/italic&gt;

Askaruly, Sanzhar; Ahn, Yujin; Kim, Hyeongeun; Vavilin, Andrey; Ban, Sungbea; Kim, Pil Un; Kim, Seunghun; Lee, Haekwang; Jung, Woonggyu

doi:10.1109/jstqe.2018.2873489

Cited by 18 publications

(20 citation statements)

References 27 publications

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“…Whilst there are many different roughness parameters in use, the arithmetic mean roughness ( Sa ) is by far the most common parameter. In this study, we used Sa to represent skin surface roughness as well as International Organization for Standardization (ISO) 25178 standard definitions for Sa , that is, the arithmetic mean of absolute values of heights within a 3D volume [26,27]. Sa can be expressed as

Sa = \frac{1}{N_{x} \times N_{y}} \sum_{i = 1}^{N_{x}} \sum_{j = 1}^{N_{y}} | I false(x_{i,} y_{j} false) |

where N x and N y , respectively, represent the number of array pixels for the field‐of‐view (9 ×9 mm), that is,

N_{x} \times N_{y}

indicates the total pixel number in the field‐of‐view, and

I ({italicx}_{italici}, {italicy}_{italicj})

indicates the vertical distances from the pixel point to the mean height.…”

Section: Methodsmentioning

confidence: 99%

OCT‐Based Angiography and Surface Topography in Burn‐Damaged Skin

Deegan

Cheng

et al. 2020

Lasers Surg Med

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Background and Objectives There is a clinical need for an accurate, non‐invasive imaging tool that can provide the objective assessment of burn wounds. The aims of this study are to demonstrate the potential of optical coherence tomography (OCT) in evaluating burn wound healing, as well as exploring the physiological basis of human wound healing. Study Design/Materials and Methods This was a retrospective study. Seven patients with severe burn wounds who were admitted to Harborview Medical Center were imaged using an in‐house‐built, clinical‐prototype OCT system. OCT imaging was carried out at multiple scan sites on the burned skin across two time points (imaging session #1 and #2) with a field of view of ~9 × 9 mm. Due to pathological differences among burn zones, scan sites were classified into red sites (zone of hyperemia), white sites (zone of coagulation), and mixed sites. In addition to obtaining qualitative en face vascular and surface topography maps, we quantified vascular area density and surface roughness for comparative purposes. Results En face vascular and surface topography maps demonstrated numerous morphological changes over both imaging sessions associated with burn injury, such as altered blood flow and loss of regular texture. Quantitative analyses revealed that during imaging session #1, vascular area density was significantly increased within the red sites compared with that of a healthy control (P = 0.0130), while vascular area density was significantly decreased within the white sites compared with that of a healthy control (P < 0.0001). During imaging session #2, vascular area density was significantly reduced to a more normal range within the red sites compared with imaging session #1 (P = 0.0215); however, vascular area density was still significantly lower within the white sites compared with that of a healthy control (P < 0.0001). Furthermore, vascular area density and surface roughness were significantly increased within the white sites during imaging session #2 compared with imaging session #1 (both P < 0.0001). Conclusions OCT is clinically feasible to monitor vascular changes and alterations in skin surface roughness during the process of burn wound healing. Variations in vascular area density and roughness measurements within the burn wounds revealed by OCT offer some key insights into the underlying pathophysiological mechanisms responsible for wound healing, which may become critical biological indicators in future clinical evaluation and monitoring of wound healing. Lasers Surg. Med. © 2020 Wiley Periodicals LLC

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Sa = \frac{1}{N_{x} \times N_{y}} \sum_{i = 1}^{N_{x}} \sum_{j = 1}^{N_{y}} | I false(x_{i,} y_{j} false) |

where N x and N y , respectively, represent the number of array pixels for the field‐of‐view (9 ×9 mm), that is,

N_{x} \times N_{y}

indicates the total pixel number in the field‐of‐view, and

I ({italicx}_{italici}, {italicy}_{italicj})

indicates the vertical distances from the pixel point to the mean height.…”

Section: Methodsmentioning

confidence: 99%

OCT‐Based Angiography and Surface Topography in Burn‐Damaged Skin

Deegan

Cheng

et al. 2020

Lasers Surg Med

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“…First, the ScanIP module of the Simpleware software (Synopsys Corporate, Mountain View, California) suite was used to segment the different layers of the skin. Then, assuming that the effective contact area between the skin and NaPy‐loaded dressing will strongly affect the resulting NaPy concentrations within the skin, we investigated its effect through the initial roughness level of the stratum corneum (SC): A roughness criterion (R) was set as the maximal vertical distance between the top of the highest fold and the bottom of the lowest valley of the SC, and the four areas of interest were chosen so that R 1 = 20 μm, R 2 = 30 μm, R 3 = 40 μm, and R 4 = 50 μm (Figure B,C; R 1 and R 2 are from the same subject, and likewise, R 3 and R 4 are from the same other individual) . Then, we assigned constant minimal thickness to the anatomical model variants so that each of the variants was 1 mm × 3 mm × 0.05 mm and included the SC, epidermis, and dermis layers (Figure B).…”

Section: Methodsmentioning

confidence: 99%

Release of sodium pyruvate from sacral prophylactic dressings: A computational model

Levy

Kottner

Gefen

2019

International Wound Journal

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The use of sacral dressings for pressure ulcer prevention is growing rapidly. In addition to their passive biomechanical role in pressure and shear reduction, in the near future, prophylactic dressings may also provide active tissue protection by releasing preventive agents or drugs into skin and deeper tissues. We investigated delivery of sodium pyruvate (NaPy) from an active dressing to potentially protect the sacral skin and underlying tissues in addition. We used four finite element model variants describing different skin roughness levels to determine time profiles of NaPy diffusion from the dressing into the skin layers. The NaPy concentrations for the different modelled cases stabilised after 1 to 6.5 hours from the time of application of the dressings, at 1% to 3% of the NaPy concentration in the dressing reservoir, which is considered potent. We conclude that prophylactic sacral dressings have the potential to deliver NaPy into skin and subdermally, to potentially increase soft tissue tolerance to sustained bodyweight-caused cell and tissue deformations. The time durations to achieve the steady-state potent NaPy dermal concentrations are clinically feasible, for example, for preparation of patients for surgery or for use in intensive care units. K E Y W O R D Ssodium pyruvate, pressure ulcer prevention, prophylactic dressings, computational simulations

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“…The International Organization for Standardization provides us with several criteria that characterize the degree of roughness, from which the average roughness is adopted in this study to express the magnitude of AS roughness. 5 Equation (2) defines the definition of the average roughness R a : E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 0 2 ; 1 1 6 ; 7 3 5…”

Section: As Parameter Quantificationmentioning

confidence: 99%

“…[13][14][15][16] Among them, OCT is a promising technique that can realize non-invasive, realtime three-dimensional (3D) imaging in the order of micrometers in biological tissues, and can detect structural information of samples. [17][18][19][20][21] Askaruly et al 5 performed skin boundary recognition on OCT images and calculated skin roughness based on the definition of the ISO 25178part 2 standard. By comparing with the results of PRIMOS skin measurement equipment, it can be considered that the 3D volume and depth imaging capabilities of OCT can reduce image artifacts, demonstrating the potential of OCT for providing reliable and quantitative skin surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Automatic quantitative analysis of structure parameters in the growth cycle of artificial skin using optical coherence tomography

Zhao

Tang

et al. 2021

J. Biomed. Opt.

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Significance: Artificial skin (AS) is widely used in dermatology, pharmacology, and toxicology, and has great potential in transplant medicine, burn wound care, and chronic wound treatment. There is a great demand for high-quality AS product and a non-invasive detection method is highly desirable.Aim: To quantify the constructure parameters (i.e., thickness and surface roughness) of AS samples in the culture cycle and explore the growth regularities using optical coherent tomography (OCT).Approach: An adaptive interface detection algorithm is developed to recognize surface points in each A-scan, offering a rapid method to calculate parameters without constructing OCT B-scan pictures and further achieving realizing real-time quantification of AS thickness and surface roughness. Experiments on standard roughness plates and H&E-staining microscopy were performed as a verification.Results: As applied on the whole cycle of AS culture, our method's results show that during the air-liquid culture, the surface roughness of the skin first decreases and then exhibits an increase, which implies coincidence with the degree of keratinization under a microscope. And normal and typical abnormal samples can be differentiated by thickness and roughness parameters during the culture cycle. Conclusions:The adaptive interface detection algorithm is suitable for high-sensitivity, fast detection, and quantification of the interface with layered characteristic tissues, and can be used for non-destructive detection of the growth regularity of AS sample thickness and roughness during the culture cycle.

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Quantitative Evaluation of Skin Surface Roughness Using Optical Coherence Tomography <italic>In Vivo </italic>

Cited by 18 publications

References 27 publications

OCT‐Based Angiography and Surface Topography in Burn‐Damaged Skin

OCT‐Based Angiography and Surface Topography in Burn‐Damaged Skin

Release of sodium pyruvate from sacral prophylactic dressings: A computational model

Automatic quantitative analysis of structure parameters in the growth cycle of artificial skin using optical coherence tomography

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