• A Weighted Histogram-Based Tone Mapping Algorithm for CT images 

      Völgyes, David; Martinsen, Anne Catrine Trægde; Stray-Pedersen, Arne; Waaler, Dag; Pedersen, Marius (Journal article; Peer reviewed, 2018)
      Computed Tomography (CT) images have a high dynamic range, which makes visualization challenging. Histogram equalization methods either use spatially invariant weights or limited kernel size due to the complexity of pairwise ...
    • How different iterative and filtered back projection kernels affect CT numbers and low contrast detectability 

      Volgyes, David; Pedersen, Marius; Stray-Pedersen, Arne; Waaler, Dag; Martinsen, Anne Catrine Trægde (Journal article; Peer reviewed, 2016)
      Objective: The aim of this study was to evaluate how different iterative and filtered back projection kernels affect the computed tomography (CT) numbers and low contrast detectability. Methods: Five different scans ...
    • Image De-Quantization Using Plate Bending Model 

      Völgyes, David; Martinsen, Anne Catrine Trægde; Stray-Pedersen, Arne; Waaler, Dag; Pedersen, Marius (Journal article; Peer reviewed, 2018)
      Discretized image signals might have a lower dynamic range than the display. Because of this, false contours might appear when the image has the same pixel value for a larger region and the distance between pixel levels ...
    • Image texture and radiation dose properties in CT 

      Możejko, Dawid; Andersen, Hilde Kjernlie; Pedersen, Marius; Waaler, Dag; Martinsen, Anne Catrine Trægde (Journal article; Peer reviewed, 2016)
      The aim of this study was to compare image noise properties of GE Discovery HD 750 and Toshiba Aquilion ONE. The uniformity section of a Catphan 600 image quality assurance phantom was scanned with both scanners, at different ...
    • Three-stage segmentation of lung region from CT images using deep neural networks 

      Osadebey, Michael; Andersen, Hilde Kjernlie; Waaler, Dag; Fosså, Kristian; Martinsen, Anne Catrine Trægde; Pedersen, Marius (Journal article; Peer reviewed, 2021)