• A multimodal image guiding system for Navigated Ultrasound Bronchoscopy (EBUS): A human feasibility study 

      Sorger, Hanne; Hofstad, Erlend Fagertun; Amundsen, Tore; Langø, Thomas; Bakeng, Janne Beate Lervik; Leira, Håkon Olav (Journal article; Peer reviewed, 2017)
      Background Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) is the endoscopic method of choice for confirming lung cancer metastasis to mediastinal lymph nodes. Precision is crucial for correct staging ...
    • A new procedure for automatic path planning in bronchoscopy 

      Ciobirca, C; Langø, Thomas; Gruionu, G; Leira, Håkon Olav; Gruionu, Lucian; Pastrama, SD (Journal article; Peer reviewed, 2018)
      Virtual bronchoscopy is often used for planning a real bronchoscopy procedure. Software applications are developed for virtual bronchoscopy, involving usually segmentation of the tracheobronchial tree from the medical image ...
    • Accuracy of electromagnetic tracking with a prototype field generator in an interventional OR setting 

      Bø, Lars Eirik; Leira, Håkon Olav; Tangen, Geir Arne; Hofstad, Erlend Fagertun; Amundsen, Tore; Langø, Thomas (Journal article; Peer reviewed, 2012)
      Purpose: The authors have studied the accuracy and robustness of a prototype electromagnetic window field generator (WFG) in an interventional radiology suite with a robotic C-arm. The overall purpose is the development ...
    • Airway segmentation and centerline extraction from thoracic CT - Comparison of a new method to state of the art commercialized methods 

      Reynisson, Pall Jens; Scali, Marta; Smistad, Erik; Hofstad, Erlend Fagertun; Leira, Håkon Olav; Lindseth, Frank; Hernes, Toril A. Nagelhus; Amundsen, Tore; Sorger, Hanne; Langø, Thomas (Peer reviewed; Journal article, 2015)
      Introduction Our motivation is increased bronchoscopic diagnostic yield and optimized preparation, for navigated bronchoscopy. In navigated bronchoscopy, virtual 3D airway visualization is often used to guide a bronchoscopic ...
    • Anthropomorphic liver phantom with flow for multimodal image-guided liver therapy research and training 

      Rethy, Anna; Sæternes, Jørn Ove; Halgunset, Jostein; Mårvik, Ronald; Hofstad, Erlend Fagertun; Sanchez-Margallo, Juan A.; Langø, Thomas (Journal article; Peer reviewed, 2017)
      Purpose The objective of this study was to develop a multimodal, permanent liver phantom displaying functional vasculature and common pathologies, for teaching, training and equipment development in laparoscopic ultrasound ...
    • 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 ...
    • Bronchoscopy using a head-mounted mixed reality device—a phantom study and a first in-patient user experience 

      Kildahl-Andersen, Arne; Hofstad, Erlend Fagertun; Sorger, Hanne; Amundsen, Tore; Langø, Thomas; Leira, Håkon Olav; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)
      Background: Bronchoscopy for peripheral lung lesions may involve image sources such as computed tomography (CT), fluoroscopy, radial endobronchial ultrasound (R-EBUS), and virtual/electromagnetic navigation bronchoscopy. ...
    • Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy 

      Muller, Sebastien; Abildsnes, Håkon; Østvik, Andreas; Kragset, Oda; Gangås, Inger Sofie Hovd; Birke, Harriet; Langø, Thomas; Arum, Carl-Jørgen (Peer reviewed; Journal article, 2021)
      Background: Extracorporeal shock wave lithotripsy (ESWL) of kidney stones is losing ground to more expensive and invasive endoscopic treatments. Objective: This proof-of-concept project was initiated to develop artificial ...
    • Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions 

      Survarachakan, Shanmugapriya; Prasad, Pravda Jith Ray; Naseem, Rabia; Perez de Frutos, Javier; Kumar, Rahul Prasanna; Langø, Thomas; Alaya Cheikh, Faouzi; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2022)
      Deep learning-based methods, in particular, convolutional neural networks and fully convolutional networks are now widely used in the medical image analysis domain. The scope of this review focuses on the analysis using ...
    • Development of navigated ultrasound bronchoscopy 

      Sorger, Hanne (Doctoral theses at NTNU;2018:78, Doctoral thesis, 2018)
      Lung cancer staging of mediastinal lymph nodes with convex probe endobronchial ultrasound transbronchial needle aspiration (CP-EBUS-TBNA) is a challenge to the bronchoscopist. Small, multiple targets are involved, and the ...
    • Efficient multilabel tissue segmentation of histopathological images using hybrid vision transformer 

      Drange, Markus Mangersnes (Master thesis, 2023)
      Histopatologi er et sentral felt innen medisin, og gjør det mulig for klinikere å gi nøyaktige diagnoser på cellenivå for sykdommer som spenner fra kreft til infeksjoner. Studiet av mikroskopiske bilder er imidlertid ...
    • Implementation and Assessment of an Adaptive Tool Handle 

      Güler, Evin (Master thesis, 2013)
      This master thesis was written during the spring and summer semester of 2013 at the Norwegian University of Technology and Science (NTNU). The main motivation for writing the thesis is to implement a specific feature on a ...
    • Improved Bronchoscopy by new image guided Approach 

      Reynisson, Páll Jens (Doctoral theses at NTNU;2018:81, Doctoral thesis, 2018)
      Navigation in bronchoscopy has developed into a feasible approach for lung diagnostics since introduced in 1998. The concept combines computer generated models from patient CT data with position and orientation tracking ...
    • Intraoperative localized constrained registration in navigated bronchoscopy 

      Hofstad, Erlend Fagertun; Sorger, Hanne; Bakeng, Janne Beate Lervik; Gruionu, Lucian; Leira, Håkon Olav; Amundsen, Tore; Langø, Thomas (Journal article; Peer reviewed, 2017)
      Purpose One of the major challenges in electromagnetic navigated bronchoscopy is the navigation accuracy. An initial rigid image-to-patient registration may not be optimal for the entire lung volume, as the lung tissue ...
    • 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 ...
    • Lack of transfer of skills after virtual reality simulator training with haptic feedback 

      Våpenstad, Cecilie; Hofstad, Erlend Fagertun; Bø, Lars Eirik; Kuhry, Esther; Johnsen, Gjermund; Mårvik, Ronald; Langø, Thomas; Hernes, Toril A. Nagelhus (Journal article; Peer reviewed, 2017)
      Background and objective: Virtual reality (VR) simulators enrich surgical training and offer training possibilities outside of the operating room (OR). In this study, we created a criterion-based training program on a VR ...
    • 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 ...
    • Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding 

      Bouget, David Nicolas Jean-Mar; Pedersen, André; Vanel, Johanna; Leira, Håkon Olav; Langø, Thomas (Peer reviewed; Journal article, 2022)
      As lung cancer evolves, the presence of potentially malignant lymph nodes must be assessed to properly estimate disease progression and select the best treatment strategy. A method for accurate and automatic segmentation ...
    • Multimodal Phantom of Liver Tissue 

      Chmarra, Magdalena Karolina; Hansen, Rune; Mårvik, Ronald; Langø, Thomas (Journal article; Peer reviewed, 2013)
      Medical imaging plays an important role in patients' care and is continuously being used in managing health and disease. To obtain the maximum benefit from this rapidly developing technology, further research is needed. ...
    • A new removable airway stent 

      Amundsen, Tore; Sørhaug, Sveinung; Leira, Håkon Olav; Tyvold, Stig Sverre; Langø, Thomas; Hammer, Tommy Arild; Manstad-Hulaas, Frode; Mattsson, Erney (Peer reviewed; Journal article, 2016)
      Background Malignant airway obstruction is a feared complication and will most probably occur more frequently in the future because of increasing cancer incidence and increased life expectancy in cancer patients. Minimal ...