Quantitative and rapid estimations of human sub‐surface skin mass using ultra‐high‐resolution spectral domain optical coherence tomography

Kuo, Wen Chuan; Kuo, Yue Ming; Su, Wen

doi:10.1002/jbio.201400153

Cited by 9 publications

(6 citation statements)

References 23 publications

(35 reference statements)

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“…Clear visualisation of a signal drop between Ep and D was depicted in the UHR-OCT images but no detailed delineation of where exactly to draw the DEJ on the OCT image was presented in these or in the ensuing studies. In parallel, other studies presented the disagreement on where exactly to draw the DEJ within the Ep-D signal transition region 5,31 . Several other groups did not introduce or explain their choice of DEJ definition in the OCT signal before deducting the Ep thickness 6,20,32,33 .…”

Section: The Skinmentioning

confidence: 99%

The value of ultrahigh resolution OCT in dermatology - delineating the dermo-epidermal junction, capillaries in the dermal papillae and vellus hairs

Israelsen

Maria

Mogensen

et al. 2018

Biomed. Opt. Express

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Optical coherence tomography (OCT) imaging of the skin is gaining recognition and is increasingly applied to dermatological research. A key dermatological parameter inferred from an OCT image is the epidermal (Ep) thickness as a thickened Ep can be an indicator of a skin disease. Agreement in the literature on the signal characters of Ep and the subjacent skin layer, the dermis (D), is evident. Ambiguities of the OCT signal interpretation in the literature is however seen for the transition region between the Ep and D, which from histology is known as the dermo-epidermal junction (DEJ); a distinct junction comprised of the lower surface of a single cell layer in epidermis (the stratum basale) connected to an even thinner membrane (the basement membrane). The basement membrane is attached to the underlying dermis. In this work we investigate the impact of an improved axial and lateral resolution on the applicability of OCT for imaging of the skin. To this goal, OCT images are compared produced by a commercial OCT system (Vivosight from Michaelson Diagnostics) and by an in-house built ultrahigh resolution (UHR-) OCT system for dermatology. In 11 healthy volunteers, we investigate the DEJ signal characteristics. We perform a detailed analysis of the dark (low) signal band clearly seen for UHR-OCT in the DEJ region where we, by using a transition function, find the signal transition of axial sub-resolution character, which can be directly attributed to the exact location of DEJ, both in normal (thin/hairy) and glabrous (thick) skin. To our knowledge no detailed delineating of the DEJ in the UHR-OCT image has previously been reported, despite many publications within this field. For selected healthy volunteers, we investigate the dermal papillae and the vellus hairs and identify distinct features that only UHR-OCT can resolve. Differences are seen in tracing hairs of diameter below 20 μm, and in imaging the dermal papillae where, when utilising the UHR-OCT, capillary structures are identified in the hand palm, not previously reported in OCT studies and specifically for skin not reported in any other optical imaging studies.

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Section: The Skinmentioning

confidence: 99%

The value of ultrahigh resolution OCT in dermatology - delineating the dermo-epidermal junction, capillaries in the dermal papillae and vellus hairs

Israelsen

Maria

Mogensen

et al. 2018

Biomed. Opt. Express

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“…Figure 10 shows the setup of the MFOCT system ( Kuo et al, 2016 ). The light source has a central wavelength of 1,275 nm and spectral bandwidth of 240 nm after passing through dichroic mirrors and a color filter, delivering an axial resolution of approximately 5 μm in air.…”

Section: Methodsmentioning

confidence: 99%

In Vivo Longitudinal Tracking of Lymphangiogenesis and Angiogenesis in Cutaneous Melanoma Mouse Model Using Multifunctional Optical Coherence Tomography

et al. 2021

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Melanoma is a high-risk skin cancer because it tends to metastasize early and ultimately leads to death. In this study, we introduced a noninvasive multifunctional optical coherence tomography (MFOCT) for the early detection of premetastatic pathogenesis in cutaneous melanoma by label-free imaging of microstructures (i.e., providing the thickness and the scattering information) and microcirculation (i.e., providing depth-resolved angiography and lymphangiography). Using MFOCT-based approaches, we presented an in vivo longitudinal observation of the tumor microenvironment in Braf V600E/V600E ;Pten À/À mice with inducible melanoma monitored for 42 days. Quantitative analysis of MFOCT images identified an increased number of lymphatic and vascular vessels during tumor progression and faster lymphangiogenesis (beginning on day 21) than angiogenesis (beginning on day 28) in the melanoma microenvironment. We further observed lymphatic vessel enlargement from the first week of melanoma development, implying tumor cells interacting with the vessels and increased likelihood of metastasis. MFOCT identified cutaneous melanoma-associated angiogenesis and lymphangiogenesis before the possible visual perception of the tumor (!42 days) and before metastasis could be diagnosed using micropositron emission tomography (35 days). Thus, the proposed quantitative analysis using MFOCT has the potential for early detection of cutaneous melanoma progression or prediction of metastatic melanoma in a mouse model. However, retrospective and extensive experiments still need to be performed in the future to confirm the value of MFOCT in clinical application.

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“…6. The detail of the system can be found elsewhere 35 . In short, a broadband (wavelength range: 650–1800 nm) supercontinuum fiber laser (SuperK Extreme, NKT Photonics, Denmark) was used as an illumination source in the present system.…”

Section: Methodsmentioning

confidence: 99%

Elucidation of microstructural changes in leaves during senescence using spectral domain optical coherence tomography

Anna¹,

Chakraborty

Cheng³

et al. 2019

Sci Rep

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Leaf senescence provides a unique window to explore the age-dependent programmed degradation at organ label in plants. Here, spectral domain optical coherence tomography (SD-OCT) has been used to study in vivo senescing leaf microstructural changes in the deciduous plant Acer serrulatum Hayata. Hayata leaves show autumn phenology and change color from green to yellow and finally red. SD-OCT image analysis shows distinctive features among different layers of the leaves; merging of upper epidermis and palisade layers form thicker layers in red leaves compared to green leaves. Moreover, A-scan analysis showed a significant (p < 0.001) decrease in the attenuation coefficient (for wavelength range: 1100–1550 nm) from green to red leaves. In addition, the B-scan analysis also showed significant changes in 14 texture parameters extracted from second-order spatial gray level dependence matrix (SGLDM). Among these parameters, a set of three features (energy, skewness, and sum variance), capable of quantitatively distinguishing difference in the microstructures of three different colored leaves, has been identified. Furthermore, classification based on k-nearest neighbors algorithm (k-NN) was found to yield 98% sensitivity, 99% specificity, and 95.5% accuracy. Following the proposed technique, a portable noninvasive tool for quality control in crop management can be anticipated.

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Quantitative and rapid estimations of human sub‐surface skin mass using ultra‐high‐resolution spectral domain optical coherence tomography

Cited by 9 publications

References 23 publications

The value of ultrahigh resolution OCT in dermatology - delineating the dermo-epidermal junction, capillaries in the dermal papillae and vellus hairs

The value of ultrahigh resolution OCT in dermatology - delineating the dermo-epidermal junction, capillaries in the dermal papillae and vellus hairs

In Vivo Longitudinal Tracking of Lymphangiogenesis and Angiogenesis in Cutaneous Melanoma Mouse Model Using Multifunctional Optical Coherence Tomography

Elucidation of microstructural changes in leaves during senescence using spectral domain optical coherence tomography

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