Blar i SINTEF Digital på forfatter "Langø, Thomas"
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A Methodical Quantification of Needle Visibility and Echogenicity in Ultrasound Images
Van De Berg, Nick J; Sanchez-Margallo, Juan A.; van Dijke, Arjan P; Langø, Thomas; Van Den Dobbelsteen, John J (Journal article; Peer reviewed, 2019)During ultrasound-guided percutaneous interventions, needle localization can be a challenge. To increase needle visibility, enhancements of both the imaging methods and the needle surface properties have been investigated. ... -
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 ... -
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 (Journal article; Peer reviewed, 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 ... -
Aspiration and altered airway anatomy: a presentation with a twist
Cullivan, Sarah; Langø, Thomas; Cantillon-Murphy, Pádraig; Kennedy, Marcus P (Journal article; Peer reviewed, 2018)A 60-year-old woman presented to our hospital with severe hypercapnic respiratory failure in the absence of a prior smoking history. She reported a 1-day history of increased dyspnoea and a cough productive of green sputum. ... -
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 ... -
Block-matching-based registration to evaluate ultrasound visibility of percutaneous needles in liver-mimicking phantoms
Sánchez-Margallo, Juan A.; Tas, Lisette; Moelker, Adriaan; van den Dobbelsteen, John J.; Sánchez-Margallo, Francisco M.; Langø, Thomas; van Walsum, Theo; van de Berg, Nick J. (Peer reviewed; Journal article, 2021)Purpose: To present a novel methodical approach to compare visibility of percutaneous needles in ultrasound images. Methods: A motor-driven rotation platform was used to gradually change the needle angle while capturing ... -
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 ... -
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 ... -
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, ... -
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 ... -
A novel clip-on device for electromagnetic tracking in endobronchial ultrasound bronchoscopy
Kildahl-Andersen, Arne; Hofstad, Erlend Fagertun; Peters, Karlijn; Van Beek, Gregory; Sorger, Hanne; Amundsen, Tore; Langø, Thomas; Leira, Håkon Olav (Peer reviewed; Journal article, 2022)Introduction: The established method for assessment of mediastinal and hilar lymph nodes is endobronchial ultrasound bronchoscopy (EBUS) with needle aspirations. Previously, we presented an electromagnetic navigation ... -
Operating Room of the Future (FOR) Digital Healthcare Transformation in the Age of Artificial Intelligence
Trocin, Cristina; Skogås, Jan Gunnar; Langø, Thomas; Kiss, Gabriel Hanssen (Chapter, 2022)New technologies are emerging under the umbrella of digital transformation in healthcare such as artificial intelligence (AI) and medical analytics to provide insights beyond the abilities of human experts. Because AI is ... -
Prediction of guidewire-induced aortic deformations during EVAR: a finite element and in vitro study
Emendi, Monica; Støverud, Karen-Helene; Tangen, Geir Arne; Ulsaker, Håvard; Manstad-Hulaas, Frode; Di Giovanni, Pierluigi; Dahl, Sigrid Kaarstad; Langø, Thomas; Prot, Victorien Emile (Peer reviewed; Journal article, 2023)Introduction and aims: During an Endovascular Aneurysm Repair (EVAR) procedure a stiff guidewire is inserted from the iliac arteries. This induces significant deformations on the vasculature, thus, affecting the pre-operative ... -
Pulmonologist evaluation on new CT visualization for guidance to lung lesions during bronchoscopy
Reynisson, Pall Jens; Leira, Håkon Olav; Langø, Thomas; Tangen, Geir Arne; Hatlen, Peter; Amundsen, Tore; Hofstad, Erlend Fagertun (Journal article; Peer reviewed, 2018)Translator disclaimer Full Article Figures & data References Citations Metrics Reprints & Permissions Get access Abstract Objective: Endoluminal visualization in virtual and video bronchoscopy lacks information ... -
Teacher-student approach for lung tumor segmentation from mixed-supervised datasets
Fredriksen, Vemund; Sevle, Svein Ole M.; Pedersen, André; Langø, Thomas; Kiss, Gabriel; Lindseth, Frank (Peer reviewed; Journal article, 2022)Purpose: Cancer is among the leading causes of death in the developed world, and lung cancer is the most lethal type. Early detection is crucial for better prognosis, but can be resource intensive to achieve. Automating ... -
Using the CustusX toolkit to create an image guided bronchoscopy application: Fraxinus
Bakeng, Janne Beate Lervik; Hofstad, Erlend Fagertun; Solberg, Ole Vegard; Eiesland, Jon Wostryck; Tangen, Geir Arne; Amundsen, Tore; Langø, Thomas; Reinertsen, Ingerid; Selbekk, Tormod; Leira, Håkon Olav (Journal article; Peer reviewed, 2019)Purpose The aim of this paper is to show how a specialized planning and guidance application called Fraxinus, can be built on top of the CustusX platform (www.custusx.org), which is an open source image-guided intervention ...