1. Articles from Silvia Conforto

    1-7 of 7
    1. 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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    2. 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
    3. 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
    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 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
    5. 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
    6. 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
    7. 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
    1-7 of 7
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  2. Topics in the News

    1. (7 articles) Saba Adabi
    2. (1 articles) University of Kent
    3. (1 articles) Adrian G. Podoleanu
    4. (1 articles) Universität Rostock
    5. (1 articles) Duke University
    6. (1 articles) L V Prasad Eye Institute
    7. (1 articles) VU University Amsterdam
    8. (1 articles) University of Leipzig
    9. (1 articles) Johannes F. de Boer
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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 Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms A Learnable Despeckling Framework for Optical Coherence Tomography Images Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms Mitigation of Speckle Noise in Optical Coherence Tomograms 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 A Comparison of OCT Parameters in Identifying Glaucoma Damage in Eyes Suspected of Having Glaucoma Two different populations of Müller cells stabilize the structure of the fovea: an optical coherence tomography study