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    1. From sample structure to optical properties and back : A theoretical framework for quantitative OCT and its clinical application (Thesis)

      From sample structure to optical properties and back : A theoretical framework for quantitative OCT and its clinical application (Thesis)

      The aim of this thesis is to provide a methodology to extract quantitative parameters from optical coherence tomography (OCT) images and to relate these parameters to sample properties such as structure, organization and flow. OCT uses near-infrared light to acquire 3D images of biological tissue, with a resolution around 5-15 μm and an imaging depth of approximately 2 mm. OCT can be a useful clinical tool for minimally-invasive, high-resolution imaging of tissue structures and morphology. In addition to morphological imaging, quantification of scattering properties from OCT images is a potential complementary source of information on microscopic tissue properties, which can ...

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    2. OPTICAL COHERENCE TOMOGRAPHY FOR CORONARY ARTERY DISEASE (Thesis)

      OPTICAL COHERENCE TOMOGRAPHY FOR CORONARY ARTERY DISEASE (Thesis)

      The aim of this thesis was to develop a software pipeline for tissue analysis in IVOCT by systematically addressing different open questions for analysis. In Chapter 2, we report on a first attempt to quantify the correlation between the position of the catheter with respect to the luminal wall and the image intensities. We implemented the Depth-Resolved (DR) model for IVOCT images in Chapter 3. In addition to the attenuation coefficient, we further extended the model to estimate a backscatter term, and proposed an algorithm to exclude the noisy region. For the first time, it was implemented in IVOCT images ...

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