Browsing NTNU Open by Author "Elle, Ole Jacob"

Now showing items 1-17 of 17

    • Adaptive context encoding module for semantic segmentation 

      Wang, Congcong; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)
      The object sizes in images are diverse, therefore, capturing multiple scale context information is essential for semantic segmentation. Existing context aggregation methods such as pyramid pooling module (PPM) and atrous ...

    • Assessment and comparison of target registration accuracy in surgical instrument tracking technologies 

      Teatini, Andrea; Perez de Frutos, Javier; Langø, Thomas; Edwin, Bjørn; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      Image guided surgery systems aim to support surgeons by providing reliable pre-operative and intra-operative imaging of the patient combined with the corresponding tracked instrument location. The image guidance is based ...

    • Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? 

      Wang, Congcong; Sharma, Vivek; Fan, Yu; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob; Stiefelhagen, Rainer (Journal article; Peer reviewed, 2018)
      Laparoscopic surgery has a limited field of view. Laser ablation in a laproscopic surgery causes smoke, which inevitably influences the surgeon's visibility. Therefore, it is of vital importance to remove the smoke, such ...

    • Efficient enhancement of stereo endoscopic images based on joint wavelet decomposition and binocular combination 

      Sdiri, Bilel; Kaaniche, Mounir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Peer reviewed; Journal article, 2019)
      The success of minimally invasive interventions and the remarkable technological and medical progress have made endoscopic image enhancement a very active research field. Due to the intrinsic endoscopic domain characteristics ...

    • 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 ...

    • Intra-operative Image Enhancement and Registration for Image Guided Laparoscopic Liver Resection 

      Wang, Congcong (Doctoral theses at NTNU;2020:88, Doctoral thesis, 2020)

    • Laboratory test of Single Landmark registration method for ultrasound-based navigation in laparoscopy using an open-source platform 

      Perez de Frutos, Javier; Hofstad, Erlend Fagertun; Solberg, Ole Vegard; Tangen, Geir Arne; Lindseth, Frank; Langø, Thomas; Elle, Ole Jacob; Mårvik, Ronald (Journal article; Peer reviewed, 2018)
      Purpose Test the feasibility of the novel Single Landmark image-to-patient registration method for use in the operating room for future clinical trials. The algorithm is implemented in the open-source platform CustusX, a ...

    • Liver surface reconstruction for image guided surgery 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      In image guided surgery, stereo laparoscopes have been introduced to provide a 3D view of the organs during the laparoscopic intervention. This stereo video could possibly be used for other purposes other than simple ...

    • Multiscale deep desmoking for laparoscopic surgery 

      Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article; Peer reviewed, 2019)
      In minimally invasive surgery, smoke generated by such as electrocautery and laser ablation deteriorates image quality severely. This creates discomfortable view for the surgeon which may increase surgical risk and degrade ...

    • Numerical evaluation on parametric choices influencing segmentation results in radiology images—a multi-dataset study 

      Prasad, Pravda Jith Ray; Survarachakan, Shanmugapriya; Khan, Zohaib Amjad; Lindseth, Frank; Elle, Ole Jacob; Albregtsen, Fritz; Kumar, Rahul Prasanna (Peer reviewed; Journal article, 2021)
      Medical image segmentation has gained greater attention over the past decade, especially in the field of image-guided surgery. Here, robust, accurate and fast segmentation tools are important for planning and navigation. ...

    • Registration techniques for navigation in laparascopic surgery 

      Pérez de Frutos, Javier (Doctoral theses at NTNU;2023:411, Doctoral thesis, 2023)
      In minimally invasive surgery, where a direct sight of the treated organ or structures is not feasible but with a laparoscope, image guided systems have been developed to provide the surgeon with real time information of ...

    • 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 ...

    • Validation of stereo vision based liver surface reconstruction for image guided surgery 

      Teatini, Andrea; Wang, Congcong; Palomar, Rafael; Alaya Cheikh, Faouzi; Edwin, Bjørn; Elle, Ole Jacob (Chapter, 2018)
      Image guided surgery systems aim to provide navigation to surgeons in order to improve accuracy and safety of the procedures. Through stereo reconstruction algorithms, it is possible to generate 3D surfaces intra-operatively ...

    • Variational based smoke removal in laparoscopic images 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      Background In laparoscopic surgery, image quality can be severely degraded by surgical smoke, which not only introduces errors for the image processing algorithms (used in image guided surgery), but also reduces the ...