Browsing NTNU Open by Author "Måsøy, Svein-Erik"

Now showing items 1-10 of 10

    • Automatic interpretation of cement evaluation logs from cased boreholes using supervised deep neural networks 

      Viggen, Erlend Magnus; Merciu, Ioan Alexandru; Løvstakken, Lasse; Måsøy, Svein-Erik (Peer reviewed; Journal article, 2020)
      The integrity of cement in cased boreholes is typically evaluated using well logging. However, well logging results are complex and can be ambiguous, and decisions associated with significant risks may be taken based on ...

    • Better Automatic Interpretation of Cement Evaluation Logs through Feature Engineering 

      Viggen, Erlend Magnus; Løvstakken, Lasse; Merciu, Ioan Alexandru; Måsøy, Svein-Erik (Chapter, 2021)
      We build systems to automatically interpret cement evaluation logs using supervised machine learning (ML). Such systems can provide instant rough interpretations that may then be used as a basis for human interpretation. ...

    • Better Automatic Interpretation of Cement Evaluation Logs through Feature Engineering 

      Viggen, Erlend Magnus; Løvstakken, Lasse; Måsøy, Svein-Erik; Merciu, Ioan Alexandru (Journal article; Peer reviewed, 2021)
      We investigate systems to automatically interpret cement evaluation logs using supervised machine learning (ML). Such systems can provide instant rough interpretations that may then be used as a basis for human interpretation. ...

    • Coherence Based Imaging in Echocardiography Using a 2D Matrix Array Probe 

      Sletten, Lisa (Master thesis, 2020)
      Utmerket ultralydbildeoppløsning er viktig for å sikre høy diagnostisk verdi av ekkokardiogrammer. Denne artikkelen er en pilotstudie om ytelsen til et bildebehandlingsverktøy kalt 2D Coherence Factor. 2D Coherence Factor ...

    • Detection Of Microcalcifications For Breast Cancer Diagnosis Using SURF Imaging 

      Afadzi, Mercy (Student paper, others, 2007)

    • Estimation and Correction of Aberration in Medical Ultrasound Imaging 

      Måsøy, Svein-Erik (Doktoravhandlinger ved NTNU, 1503-8181; 2004:157, Doctoral thesis, 2004)
      The work presented in this thesis is devoted to studying aberration in ultrasound medical imaging, and to provide methods for correcting aberration of ultrasound signals in order to obtain optimum image quality. The thesis ...

    • The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability 

      Molares, Alfonso Rodrígues; Rindal, Ole Marius Hoel; D´Hooge, Jan; Måsøy, Svein-Erik; Austeng, Andreas; Bell, Muyinatu A. Lediju; Torp, Hans (Peer reviewed; Journal article, 2020)
      In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast and lesion detectability in ultrasound images. Recent studies have shown that the CNR cannot be used with modern beamformers, ...

    • 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 ...

    • Patient Adaptive Beamforming in Echocardiography 

      Vrålstad, Anders Emil (Master thesis, 2021)
      Målet for denne avhandlingen er å forbedre kvaliteten på ultralydavbildning i form av økt kontrast og oppløsning. Slik forbedret bildekvalitet vil medføre en mer presis diagnostikk og redusert bruk av tidkrevende, kostbar ...

    • Ultrasonic focusing through a steel layer for acoustic imaging 

      Talberg, Andreas Sørbrøden; Dong, Hefeng; Johansen, Tonni Franke; Måsøy, Svein-Erik; Brekke, Svein; Rommetveit, Tarjei (Journal article; Peer reviewed, 2018)
      Ultrasonic tools are being used for imaging in a large variety of fields, spanning from medical applications in a hospital to applications deep down in oil and gas wells. When applying ultrasonic imaging techniques to image ...