1. Articles from Hassan S. Salehi

    1-4 of 4
    1. Deep learning classifier with optical coherence tomography images for early dental caries detection

      Deep learning classifier with optical coherence tomography images for early dental caries detection

      Dental caries is a microbial disease that results in localized dissolution of the mineral content of dental tissue. Despite considerable decline in the incidence of dental caries, it remains a major health problem in many societies. Early detection of incipient lesions at initial stages of demineralization can result in the implementation of non-surgical preventive approaches to reverse the demineralization process. In this paper, we present a novel approach combining deep convolutional neural networks (CNN) and optical coherence tomography (OCT) imaging modality for classification of human oral tissues to detect early dental caries. OCT images of oral tissues with various densities ...

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    2. Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images

      Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images

      In this paper, five types of tissues, human enamel, human cortical bone, human trabecular bone, muscular tissue, and fatty tissue were imaged ex vivo using optical coherence tomography (OCT). The specimens were prepared in blocks of 5 x 5 x 3 mm (width x length x height). The OCT imaging system was a swept source OCT system operating at wavelengths ranging between 1250 nm and 1360 nm with an average power of 18 mW and a scan rate of 50 to 100 kHz. The imaging probe was placed on top of a 2 x 2 cm stabilizing device to maintain ...

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    3. Tissue characterization using optical coherence tomography and cone beam computed tomography: A comparative pilot study

      Tissue characterization using optical coherence tomography and cone beam computed tomography: A comparative pilot study

      Objectives To evaluate the ability of optical coherence tomography (OCT) in differentiating between human oral tissues in comparison with cone beam computed tomography (CBCT). Study design In this study, we imaged four types of tissues ex vivo , i.e., human enamel, human cortical bone, human trabecular bone, fatty tissue plus water and air using OCT (Axsun Inc. Billerica, MA). We then developed a method for qualitative and quantitative analysis of the human specimens. The same types of tissues were also imaged using CBCT and grayscale values were measured. Results The qualitative indices (intensity profile, contour plot and histogram) for OCT ...

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    4. Correlating optical coherence elastography based strain measurements with collagen content of the human ovarian tissue

      Correlating optical coherence elastography based strain measurements with collagen content of the human ovarian tissue

      In this manuscript, the initial feasibility of a catheter based phase stabilized swept source optical coherence tomography (OCT) system was studied for characterization of the strain inside different human ovarian tissue groups. The ovarian tissue samples were periodically compressed with 500 Hz square wave signal along the axial direction between the surface of an unfocused transducer and a glass cover slide. The displacement and corresponding strain were calculated during loading from different locations for each tissue sample. A total of 27 ex vivo ovaries from 16 patients were investigated. Statistically significant difference (p < 0.001) was observed between the average ...

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    1-4 of 4
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    1. (4 articles) University of Connecticut
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    Correlating optical coherence elastography based strain measurements with collagen content of the human ovarian tissue Tissue characterization using optical coherence tomography and cone beam computed tomography: A comparative pilot study Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images Deep learning classifier with optical coherence tomography images for early dental caries detection Duke University Engineering Professor Sina Farsiu Elected Fellow of the IEEE PhotoniCare Takes First Place at the 2019 HealthTECH Startup Competition Close Assessment and Testing for Chronic Graft Versus Host Disease, CATCH Study GaAs-Based InPBi Quantum Dots for High Efficiency Super-Luminescence Diodes Pearls and Pitfalls of Optical Coherence Tomography Angiography Image Interpretation Novel optical coherence tomography findings in idiopathic choroidal folds Artificial Intelligence and Healthcare: Products and Procedures Oral Diagnosis Minimally Invasive Imaging Approaches (Textbook)