1. Articles from Mohammadreza Nasiriavanaki

    1-14 of 14
    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. Optical coherence tomography imaging of melanoma skin cancer

      Optical coherence tomography imaging of melanoma skin cancer

      No consensus guidelines exist on the use of optical coherence tomography (OCT) for diagnosis of cutaneous melanoma. The objectives of this review are to provide a descriptive review of the literature on characteristics of cutaneous melanomas seen on high-definition OCT (HD-OCT), speckle variance OCT (SV-OCT), and conventional OCT and to compare their diagnostic ability with that of histopathology. A review of PubMed and Google Scholar identified all available literature on OCT in melanoma skin cancer that included all in vivo and ex vivo studies on human or human tissues and excluded all studies on non-human subjects or animal studies. Two ...

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    3. Mitigation of Speckle Noise in Optical Coherence Tomograms

      Mitigation of Speckle Noise in Optical Coherence Tomograms

      Optical Coherence Tomography (OCT) is a promising high-resolution imaging technique that works based on low coherent interferometry. However, like other low coherent imaging modalities, OCT suffers from an artifact called, speckle. Speckle reduces the detectability of diagnostically relevant features in the tissue. Retinal optical coherence tomograms are of a great importance in detecting and diagnosing eye diseases. Different hardware or software based techniques are devised in literatures to mitigate speckle noise. The ultimate aim of any software-based despeckling technique is to suppress the noise part of speckle while preserves the information carrying portion of that. In this chapter, we reviewed ...

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    4. 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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    5. 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
    6. 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
    7. A Learnable Despeckling Framework for Optical Coherence Tomography Images

      A Learnable Despeckling Framework for Optical Coherence Tomography Images

      Optical coherence tomography (OCT) is a prevalent, interferometric, high-resolution imaging method with broad biomedical applications. Nonetheless, OCT images suffer from an artifact, called speckle which degrades the image quality. Digital filters offer an opportunity for image improvement in clinical OCT devices where hardware modification to enhance images is expensive. To reduce speckle, a wide variety of digital filters have been proposed; selecting the most appropriate filter for each OCT image/image set is a challenging decision. To tackle this challenge, we propose an expandable learnable despeckling framework, we called LDF. LDF decides which speckle reduction algorithm is most effective on ...

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      Mentions: Saba Adabi
    8. An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin

      An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin

      Background Optical coherence tomography (OCT) of skin delivers three-dimensional images of tissue microstructures. Although OCT imaging offers a promising high-resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components ...

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    9. 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
    10. Optical Coherence Tomography Technology and Quality Improvement Methods for Optical Coherence Tomography Images of Skin: A Short Review

      Optical Coherence Tomography Technology and Quality Improvement Methods for Optical Coherence Tomography Images of Skin: A Short Review

      Optical coherence tomography (OCT) delivers 3-dimensional images of tissue microstructures. Although OCT imaging offers a promising high-resolution method, OCT images experience some artifacts that lead to misapprehension of tissue structures. Speckle, intensity decay, and blurring are 3 major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components. In this short review, we summarize some of the image enhancement algorithms for OCT images which address the above mentioned artifacts.

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      Mentions: Saba Adabi
    11. 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
    12. An intelligent despeckling method for swept source optical coherence tomography images of skin

      An intelligent despeckling method for swept source optical coherence tomography images of skin

      Optical Coherence Optical coherence tomography is a powerful high-resolution imaging method with a broad biomedical application. Nonetheless, OCT images suffer from a multiplicative artefacts so-called speckle, a result of coherent imaging of system. Digital filters become ubiquitous means for speckle reduction. Addressing the fact that there still a room for despeckling in OCT, we proposed an intelligent speckle reduction framework based on OCT tissue morphological, textural and optical features that through a trained network selects the winner filter in which adaptively suppress the speckle noise while preserve structural information of OCT signal. These parameters are calculated for different steps of ...

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      Mentions: Saba Adabi
    13. Speckle reduction of OCT images using an adaptive cluster-based filtering

      Speckle reduction of OCT images using an adaptive cluster-based filtering

      Optical coherence tomography (OCT) has become a favorable device in the dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain grainy pattern, called speckle, due to the broadband source that has been used in the configuration of OCT. So far, a variety of filtering techniques is introduced to reduce speckle in OCT images. Most of these methods are generic and can be applied to OCT images of different tissues. In this paper, we present a method for speckle reduction of OCT skin images. Considering the architectural structure of skin layers, it seems that a skin ...

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      Mentions: Saba Adabi
    14. 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
    1-14 of 14
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  2. Topics in the News

    1. (11 articles) Saba Adabi
    2. (2 articles) University of Kent
    3. (2 articles) Adrian G. Podoleanu
    4. (1 articles) Technical University of Denmark (DTU)
    5. (1 articles) Peter E. Andersen
    6. (1 articles) Universidade Federal de São Paulo
    7. (1 articles) FDA
    8. (1 articles) University of Southern California
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    11. (1 articles) Francesco Prati
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    Textural analysis of optical coherence tomography skin images: quantitative differentiation between healthy and cancerous tissues Speckle reduction of OCT images using an adaptive cluster-based filtering An intelligent despeckling method for swept source optical coherence tomography images of skin A spatially variant deconvolution method based on total variation for optical coherence tomography images Optical Coherence Tomography Technology and Quality Improvement Methods for Optical Coherence Tomography Images of Skin: A Short Review Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms Swept-Source Optical Coherence Tomography–Supervised Biopsy Optical coherence tomography imaging of melanoma skin cancer Medical treatment of inflammatory punctual stenosis monitored by anterior segment optical coherence tomography Development and Validation of a Deep Learning System for Diagnosing Glaucoma Using Optical Coherence Tomography