- Surgical Simulation and Training
- Medical Image Segmentation Techniques
- Augmented Reality Applications
- Robotics and Sensor-Based Localization
- 3D Shape Modeling and Analysis
- Anatomy and Medical Technology
- Medical Imaging and Analysis
- Hepatocellular Carcinoma Treatment and Prognosis
- 3D Surveying and Cultural Heritage
- Radiomics and Machine Learning in Medical Imaging
- Computer Graphics and Visualization Techniques
- Antenna Design and Analysis
- Wireless Body Area Networks
- AI in cancer detection
- Advanced Vision and Imaging
- Advanced Numerical Analysis Techniques
- Radiation Therapy and Dosimetry
- Pancreatic and Hepatic Oncology Research
- Manufacturing Process and Optimization
- Image and Video Quality Assessment
- Bluetooth and Wireless Communication Technologies
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Digital Image Processing Techniques
- Structural Engineering and Vibration Analysis
Oslo University Hospital
2014-2024
SINTEF
2023-2024
University of Oslo
2016-2024
Norwegian University of Science and Technology
2020-2024
Renfe Operadora (Spain)
1989-1991
Ultrawideband (UWB) radio technology for wireless implants has gained significant attention. UWB enables the fabrication of faster and smaller transceivers with ultralow power consumption, which may be integrated into more sophisticated implantable biomedical sensors actuators. Nevertheless, large path loss suffered by signals propagating through inhomogeneous layers biological tissues is a major hindering factor. For optimal design transceivers, accurate characterization propagation in...
Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for decision-making process. These used in surgery planning guidance, especially parenchyma-sparing hepatectomies. Though commonly visualized two dimensions (2D), surgeons need to mentally reconstruct this information three (3D) a spatial understanding of anatomy. The aim work is investigate whether use 3D model mixed reality with Microsoft HoloLens increases...
Meticulous preoperative planning is an important part of any surgery to achieve high levels precision and avoid complications. Conventional medical 2D images their corresponding three-dimensional (3D) reconstructions are the main components efficient system. However, these systems still use flat screens for visualisation 3D information, thus losing depth information which crucial spatial understanding. Currently, cutting-edge mixed reality have shown be a worthy alternative provide...
Conventional surgical navigation systems rely on preoperative imaging to provide guidance. In laparoscopic liver surgery, insufflation of the abdomen (pneumoperitoneum) can cause deformations liver, introducing inaccuracies in correspondence between images and intraoperative reality. This study evaluates improvements provided by for navigation, when displayed as augmented reality (AR). Significant differences were found terms accuracy AR, favor imaging. addition, results showed an effect...
Ultra wideband (UWB) signals possess characteristics that may enable high data rate communications with deeply implanted medical sensors and actuators. Nevertheless, this application could be hindered in part by international spectrum regulations, which restrict UWB to 3.1-10.6 GHz where propagation conditions through the human body are rather unfavorable. Therefore, for proper feasibility assessment design of implant using signals, accurate models radio channel utmost importance. Hence, we...
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 identifying such their severity using video quality assessment. There are three major contributions presented in work (i) proposal novel enhancement laparoscopic surgery; (ii) publicly available database assessment evaluated expert as well non-expert observers (iii) objective including...
Computer-assisted systems for planning and navigation of liver resection procedures rely on the use patient-specific 3D geometric models obtained from computed tomography. In this work, we propose application Poisson surface reconstruction (PSR) to obtain with applications surgery. order apply PSR, introduction an efficient transformation segmentation data, based computation gradient fields, is proposed. One advantages PSR that it requires only one control parameter, allowing process be...
This study aims to evaluate the accuracy of point-based registration (PBR) when used for augmented reality (AR) in laparoscopic liver resection surgery.The was conducted three different scenarios which sampling targets PBR decreases: using an assessment phantom with machined divot holes, a patient-specific markers visible computed tomography (CT) scans and vivo, relying on surgeon's anatomical understanding perform annotations. Target error (TRE) fiducial (FRE) were five randomly selected...
Abstract Despite the benefits of minimally invasive surgery, interventions such as laparoscopic liver surgery present unique challenges, like significant anatomical differences between preoperative images and intraoperative scenes due to pneumoperitoneum, patient pose, organ manipulation by surgical instruments. To address these a method for three‐dimensional reconstruction scene, including vessels tumors, without altering workflow, is proposed. The technique combines neural radiance field...
PURPOSE: Accurate preoperative planning is crucial for liver resection surgery due to the complex anatomical structures and variations among patients. The need of virtual resections utilizing deformable surfaces presents a promising approach effective planning. However, range available surface definitions poses question which definition most appropriate. METHODS: study compares use NURBS B´ezier through usability study, where 25 participants (19 biomedical researchers 6 surgeons) completed...
Bézier surfaces are mathematical tools employed in a wide variety of applications. Some works the literature propose parallelization strategies to improve performance for computation surfaces. These approaches, however, mainly focused on graphics applications and often not directly applicable other domains. In this work, we new method surfaces, together with approaches efficiently map onto different platforms (CPUs, discrete integrated GPUs). Additionally, explore CPU–GPU cooperation...
Visual information obtained from endoscopy in laparoscopic surgery plays an important role navigation and provides a mean for efficient effective image-based instrument tracking. Instrument tracking based on monocular vision is well-researched field, recent years, stereo techniques have attracted the interests of academic community. In this work, we propose two frameworks vision. We implemented these evaluated accuracy via comparison with optical system (OTS) employed regularly surgery. Our...
Image guided surgery systems aim to provide navigation surgeons in order improve accuracy and safety of the procedures. Through stereo reconstruction algorithms, it is possible generate 3D surfaces intra-operatively by means a laparoscopic stereo-camera. This study aims setup simulation system quantitatively validate recent proposed algorithm with application liver resection surgery. The intra-operative surface will be used guide model patient registration. also correcting deformations...
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Objective: This study introduces a novel method for defining virtual resections in liver cancer surgery, aimed at enhancing the adaptability of parenchyma-sparing resection (PSR) plans. By comparing these with traditional anatomical (AR) plans, we explore potential optimization surgical planning. Methods: Leveraging contours and spline surface approximations directly from liver's surface, our aligns closely actual procedures, offering more realistic representation curved paths. technique,...
<title>Abstract</title> Couinaud’s liver segment classification has been the standard for surgeryplanning nearly seven decades. However, its reliance on fixedplanar boundaries does notalways align with individual anatomical variations. This study aims to propose a new methodfor classifying functional segments that incorporates patient-specific morphology,3D vascular systems, and user-defined landmarks. Methods. We developed an adaptable clas-sification approach integrates involves:(1)...
Abstract Aims Structural heart defects, including congenital ventricular septal defect closure or intracardiac rerouting, frequently require surgical reconstruction using hand-cut patch materials. Digitally modelled templates may improve fit and reduce outflow tract obstruction, residual risk, conduction system damage. In this study, we benchmarked mixed-reality a desktop application against digitalized model of real implanted patch. Methods results Ten patients scheduled for the repair...
Despite the benefits of minimally invasive surgery, interventions such as laparoscopic liver surgery present unique challenges, like significant anatomical differences between preoperative images and intraoperative scenes due to pneumoperitoneum, patient pose, organ manipulation by surgical instruments. To address these we propose a method for 3D reconstruction scene, including vessels tumors, without altering workflow. The technique combines Neural Radiance Field (NeRF) reconstructions from...