1. Articles from Steven Daveluy

    1-9 of 9
    1. Optical Radiomic Signatures Derived from Optical Coherence Tomography Images to Improve Identification of Melanoma

      Optical Radiomic Signatures Derived from Optical Coherence Tomography Images to Improve Identification of Melanoma

      The current gold standard for the clinical diagnosis of melanoma is excisional biopsy and histopathologic analysis. Approximately 15-30 benign lesions are biopsied to diagnose each melanoma. Additionally, biopsies are invasive and result in pain, anxiety, scarring and disfigurement of patients which can add an additional burden to the health care system. Among several imaging techniques developed to enhance melanoma diagnosis, optical coherence tomography (OCT), with its high-resolution and intermediate penetration depth, can potentially provide required diagnostic information noninvasively. Here we present an image analysis algorithm, 'optical properties extraction (OPE)', that improves the specificity and sensitivity of OCT by identifying unique ...

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    2. The use of optical coherence tomography to analyze the efficacy of skin care products

      The use of optical coherence tomography to analyze the efficacy of skin care products

      In this study, we assess the applicability of optical coherence tomography (OCT) for non-invasive imaging of skin morphology for the assessment of efficacy of cosmetic skin wrinkle-reduction products in humans. Evaluation of skin care products for reduction of facial wrinkles is largely limited to photographic (non-quantitative) comparison of skin surface texture before and after either single or prolonged application of skin care product. OCT could be a technique for monitoring changes in cross-sectional skin morphology. An optical attenuation coefficient analysis is also carried out to quantitatively study the changes in different layers of the skin.

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    3. Swept-Source Optical Coherence Tomography–Supervised Biopsy

      Swept-Source Optical Coherence Tomography–Supervised Biopsy

      BACKGROUND Currently, only skin biopsy can provide definitive histological confirmation for the diagnosis of skin diseases. To improve the diagnostic accuracy and to assist the dermatologist, various imaging techniques have been added to the examination of skin. Among all these techniques, the recent advances in optical coherence tomography (OCT) have made it possible to image the skin up to 2 millimeters in depth. OBJECTIVE To testify the feasibility of OCT imaging in skin biopsy, the authors investigated the OCT imaging for real-time visualization of needle insertion and punch biopsy techniques in both a tissue phantom and biological tissue. MATERIALS AND ...

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      Mentions: Saba Adabi
    4. Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

      Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

      Currently, diagnosis of skin diseases is based primarily on the visual pattern recognition skills and expertise of the physician observing the lesion. Even though dermatologists are trained to recognize patterns of morphology, it is still a subjective visual assessment. Tools for automated pattern recognition can provide objective information to support clinical decision-making. Noninvasive skin imaging techniques provide complementary information to the clinician. In recent years, optical coherence tomography (OCT) has become a powerful skin imaging technique. According to specific functional needs, skin architecture varies across different parts of the body, as do the textural characteristics in OCT images. There is ...

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      Mentions: Saba Adabi
    5. Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

      Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

      Currently, diagnosis of skin diseases is based primarily on visual pattern recognition skills and expertise of the physician observing the lesion. Even though dermatologists are trained to recognize patterns of morphology, it is still a subjective visual assessment. Tools for automated pattern recognition can provide objective information to support clinical decision-making. Noninvasive skin imaging techniques provide complementary information to the clinician. In recent years, optical coherence tomography has become a powerful skin imaging technique. According to specific functional needs, skin architecture varies across different parts of the body, as do the textural characteristics in OCT images. There is, therefore, a ...

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      Mentions: Saba Adabi
    6. A spatially variant deconvolution method based on total variation for optical coherence tomography images

      A spatially variant deconvolution method based on total variation for optical coherence tomography images

      Optical Coherence Tomography (OCT) has a great potential to elicit clinically useful information from tissues due to its high axial and transversal resolution. In practice, an OCT setup cannot reach to its theoretical resolution due to imperfections of its components, which make its images blurry. The blurriness is different alongside regions of image; thus, they cannot be modeled by a unique point spread function (PSF). In this paper, we investigate the use of solid phantoms to estimate the PSF of each sub-region of imaging system. We then utilize Lucy-Richardson, Hybr and total variation (TV) based iterative deconvolution methods for mitigating ...

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      Mentions: Saba Adabi
    7. A novel dermo-epidermal localization algorithm for swept source OCT images of human skin

      A novel dermo-epidermal localization algorithm for swept source OCT images of human skin

      Optical coherence tomography (OCT) is a noninvasive diagnostic method that offers a view into the superficial layers of the skin in vivo in real-time. OCT delivers morphological images of microstructures within the skin. Epidermal thickness in OCT images is of paramount importance, since dermo-epidermal junction (DEJ) location alteration is the start of several skin abnormalities. Due to the presence of speckle noise, devising an algorithm for locating DEJ in the OCT images is challenging. In this study we propose a semi-automatic DEJ detection algorithm based on graph theory that is resistant to speckle. In this novel approach we use attenuation ...

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      Mentions: Saba Adabi
    8. Textural analysis of optical coherence tomography skin images: quantitative differentiation between healthy and cancerous tissues

      Textural analysis of optical coherence tomography skin images: quantitative differentiation between healthy and cancerous tissues

      Optical Coherence Tomography (OCT) offers real-time high-resolution three-dimensional images of tissue microstructures. In this study, we used OCT skin images acquired from ten volunteers, neither of whom had any skin conditions addressing the features of their anatomic location. OCT segmented images are analyzed based on their optical properties (attenuation coefficient) and textural image features e.g., contrast, correlation, homogeneity, energy, entropy, etc. Utilizing the information and referring to their clinical insight, we aim to make a comprehensive computational model for the healthy skin. The derived parameters represent the OCT microstructural morphology and might provide biological information for generating an atlas ...

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      Mentions: Saba Adabi
    1-9 of 9
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  2. Topics in the News

    1. (6 articles) Saba Adabi
    2. (1 articles) Technical University of Denmark (DTU)
    3. (1 articles) Peter E. Andersen
    4. (1 articles) Universität Rostock
    5. (1 articles) Duke University
    6. (1 articles) L V Prasad Eye Institute
    7. (1 articles) VU University Amsterdam
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    Textural analysis of optical coherence tomography skin images: quantitative differentiation between healthy and cancerous tissues A novel dermo-epidermal localization algorithm for swept source OCT images of human skin A spatially variant deconvolution method based on total variation for optical coherence tomography images Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms Swept-Source Optical Coherence Tomography–Supervised Biopsy The use of optical coherence tomography to analyze the efficacy of skin care products Refractive index correction in optical coherence tomography images of multilayer tissues Optical Radiomic Signatures Derived from Optical Coherence Tomography Images to Improve Identification of Melanoma Toward clinical elastography of dermal tissues: A medical device to probe skin’s elasticity through suction, with subsurface imaging via optical coherence tomography A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography Thickness of Intraretinal Layers in Patients with Type 2 Diabetes Mellitus Depending on a Concomitant Diabetic Neuropathy: Results of a Cross-Sectional Study Using Deviation Maps for OCT Data Analysis