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    <title language="eng">Combining reconstruction and edge detection in CT</title>
    <abstract language="eng">We present two methods that combine image reconstruction and edge detection in computed tomography (CT) scans. Our first method is as an extension of the prominent filtered backprojection algorithm. In our second method we employ ℓ1-regularization for stable calculation of the gradient. As opposed to the first method, we show that this approach is able to compensate for undersampled CT data.</abstract>
    <parentTitle language="deu">BVM Workshop 2023, 02.-04. Juli 2023, Braunschweig</parentTitle>
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    <author>Jürgen Frikel</author>
    <author>Simon Göppel</author>
    <author>Markus Haltmeier</author>
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    <title language="eng">Combining Reconstruction and Edge Detection in Computed Tomography</title>
    <abstract language="eng">We present two methods that combine image reconstruction and edge detection in computed tomography (CT) scans. Our first method is as an extension of the prominent filtered backprojection algorithm. In our second method we employ l1-regularization for stable calculation of the gradient. As opposed to the first method, we show that this approach is able to compensate for undersampled CT data.</abstract>
    <parentTitle language="eng">Bildverarbeitung für die Medizin 2021 : Proceedings, German Workshop on Medical Image Computing: Regensburg, March 7-9, 2021</parentTitle>
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    <author>Jürgen Frikel</author>
    <author>Simon Göppel</author>
    <author>Markus Haltmeier</author>
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