Browsing NTNU Open by Author "Bjåstad, Tore Grüner"

Now showing items 1-5 of 5

    • Clutter Filter Wave Imaging 

      Salles, Sebastien; Løvstakken, Lasse; Aase, Svein Arne; Bjåstad, Tore Grüner; Torp, Hans (Journal article; Peer reviewed, 2019)
      The elastic properties of human tissue can be evaluated through the study of mechanical wave propagation captured using high frame rate ultrasound imaging. Methods such as block-matching or phase-based motion estimation ...

    • High frame rate ultrasound imaging using parallel beamforming 

      Bjåstad, Tore Grüner (Doktoravhandlinger ved NTNU, 1503-8181; 2009:18, Doctoral thesis, 2009)
      The human heart contracts and relaxes approximately once each second. This is a complex process where different parts of the cardiac tissue contract and relax at different times and at different rates. The accurate evaluation ...

    • Improved Lesion Detection Using Nonlocal Means Post-Processing 

      Rindal, Ole Marius Hoel; Rodriguez-Molares, Alfonso; Måsøy, Svein-Erik; Bjåstad, Tore Grüner (Journal article; Peer reviewed, 2019)
      Software beamforming allows more flexible and complex algorithms, often referred to as adaptive beamforming techniques, that are blurring the boundaries between beamforming and image processing. Many adaptive beamforming ...

    • Maximum velocity estimation in coronary arteries using 3D tracking Doppler 

      Fiorentini, Stefano; Saxhaug, Lars Mølgaard; Holte, Espen; Bjåstad, Tore Grüner; Torp, Hans; Avdal, Jørgen (Journal article, 2018)
      Several challenges currently prevent the use of Doppler echocardiography to assess blood flow in the coronary arteries. Due to the anatomy of the coronary tree, out-of-plane flow and high beam-to-flow angles easily occur. ...

    • A Very Large Cardiac Channel Data Database (VLCD) Used to Evaluate Global Image Coherence (GIC) as an In Vivo Image Quality Metric 

      Rindal, Ole Marius Hoel; Bjåstad, Tore Grüner; Espeland, Torvald; Berg, Erik Andreas Rye; Måsøy, Svein-Erik (Peer reviewed; Journal article, 2023)
      Ultrasound image quality is of utmost importance for a clinician to reach a correct diagnosis. Conventionally, image quality is evaluated using metrics to determine the contrast and resolution. These metrics require ...