Browsing NTNU Open by Author "Pelanis, Egidijus"

Now showing items 1-8 of 8

    • Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery 

      Teatini, Andrea; Perez de Frutos, Javier; Eigl, Benjamin; Aghayan, Davit; Pelanis, Egidijus; Lai, Marco; Kumar, Rahul Prasanna; Palomar, Rafael; Edwin, Bjørn; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)
      Purpose This study aims to evaluate the accuracy of point-based registration (PBR) when used for augmented reality (AR) in laparoscopic liver resection surgery. Material and methods The study was conducted in three ...

    • Laparoscopic parenchyma-sparing liver resection for large (≥ 50 mm) colorectal metastases. 

      Aghayan, Davit; d’Albenzio, Gabriella; Fretland, Åsmund Avdem; Pelanis, Egidijus; Røsok, Bård Ingvald; Yaqub, Sheraz; Palomar, Rafael; Edwin, Bjørn von Gohren (Journal article; Peer reviewed, 2022)

    • Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation 

      Perez de Frutos, Javier; Pedersen, Andre; Pelanis, Egidijus; Bouget, David Nicolas Jean-Mar; Survarachakan, Shanmugapriya; Langø, Thomas; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2023)
      Purpose This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods Different training strategies, loss functions, and ...

    • Resectograms: Real-Time 2D Visualization of Liver Virtual Resections 

      Meng, Ruoyan; Aghayan, Davit; Pelanis, Egidijus; Edwin, Bjørn von Gohren; Alaya Cheikh, Faouzi; Palomar Avalos, Rafael (Peer reviewed; Journal article, 2023)
      Visualization of virtual resections plays a central role in computer-assisted liver surgery planning. The complexity of the liver's internal structures often leads to difficulties in its proper visualization during the ...

    • The effect of intraoperative imaging on surgical navigation for laparoscopic liver resection surgery 

      Teatini, Andrea; Pelanis, Egidijus; Aghayan, Davit; Kumar, Rahul Prasanna; Palomar, Rafael; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Journal article; Peer reviewed, 2019)
      Conventional surgical navigation systems rely on preoperative imaging to provide guidance. In laparoscopic liver surgery, insufflation of the abdomen (pneumoperitoneum) can cause deformations on the liver, introducing ...

    • Towards a video quality assessment based framework for enhancement of laparoscopic videos 

      Khan, Zohaib Amjad; Beghdadi, Azeddine; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Pelanis, Egidijus; Palomar, Rafael; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)
      Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for automatically detecting and identifying such ...

    • Use of mixed reality for improved spatial understanding of liver anatomy 

      Pelanis, Egidijus; Kumar, Rahul Prasanna; Aghayan, Davit; Palomar, Rafael; Fretland, Åsmund Avdem; Brun, Henrik; Elle, Ole Jacob; Edwin, Bjørn (Journal article; Peer reviewed, 2019)
      Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, ...

    • Use of mixed reality for surgery planning: Assessment and development workflow 

      Kumar, Rahul Prasanna; Pelanis, Egidijus; Bugge, Robin Antony Birkeland; Brun, Henrik; Palomar, Rafael; Aghayan, Davit; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)
      Meticulous preoperative planning is an important part of any surgery to achieve high levels of precision and avoid complications. Conventional medical 2D images and their corresponding three-dimensional (3D) reconstructions ...