A5008014984- Surgical Simulation and Training
- Augmented Reality Applications
- Soft Robotics and Applications
- Cardiovascular Function and Risk Factors
- Anatomy and Medical Technology
- Medical Image Segmentation Techniques
- Robotics and Sensor-Based Localization
- Cardiac Imaging and Diagnostics
- Cardiac Valve Diseases and Treatments
- Medical Imaging and Analysis
- Advanced Neural Network Applications
- AI in cancer detection
- Robot Manipulation and Learning
- Non-Invasive Vital Sign Monitoring
- Advanced Vision and Imaging
- Hemodynamic Monitoring and Therapy
- Image Enhancement Techniques
- Ultrasound in Clinical Applications
- Cardiac and Coronary Surgery Techniques
- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Cardiac Structural Anomalies and Repair
- Phonocardiography and Auscultation Techniques
- Robotic Path Planning Algorithms
- Congenital Heart Disease Studies
University of Oslo
2015-2024
Oslo University Hospital
2015-2024
SINTEF
2020
SINTEF Digital
2020
Ninewells Hospital
2012
Med-Storm Innovation (Norway)
2002-2006
University Hospital of North Norway
2002
National Hospital
2001
Norwegian University of Science and Technology
2001
The use of robots in health care has increased dramatically over the last decade. One area research been to conduct ultrasound examinations, either controlled by a physician or autonomously. This paper examines possibility using commercial robot UR5 from Universal Robots make tele-operated robotic system. Physicians diagnosing patients probes are prone repetitive strain injuries, as they required hold probe uncomfortable positions and exert significant static force. main application for...
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...
Abstract Purpose This study presents a novel surgical navigation tool developed in mixed reality environment for orthopaedic surgery. Joint and skeletal deformities affect all age groups greatly reduce the range of motion joints. These are notoriously difficult to diagnose correct through Method We have which integrates instrument tracking augmented head mounted display. allows surgeon visualise bones with illusion possessing “X-ray” vision. The studies presented below aim assess accuracy...
The introduction of robotic surgery within the operating rooms has significantly improved quality many surgical procedures. Recently, research on medical systems focused increasing level autonomy in order to give them possibility carry out simple actions autonomously. This paper reports development technologies for introducing automation workflow. results have been obtained during ongoing FP7 European funded project Intelligent Surgical Robotics (I-SUR). main goal is demonstrate that...
The success of minimally invasive interventions and the remarkable technological medical progress have made endoscopic image enhancement a very active research field. Due to intrinsic domain characteristics surgical exercise, stereo images may suffer from different degradations which affect its quality. Therefore, in order provide surgeons with better visual feedback improve outcomes possible subsequent processing steps, namely, 3-D organ reconstruction/registration, it would be interesting...
In laparoscopic liver resection, surgeons conventionally rely on anatomical landmarks detected through a laparoscope, preoperative volumetric images and ultrasound to compensate for the challenges of minimally invasive access. Image guidance using optical tracking registration procedures is promising tool, although often undermined by its inaccuracy. This study evaluates novel surgical navigation solution that can deformations an accurate effective method. The proposed relies robotic C-arm...
This paper introduces and validates a real-time dynamic predictive model based on neural network approach for soft continuum manipulators. The presented provides prediction framework using neural-network-based strategies mechanics principles. A time-space integration scheme is employed to discretize the continuous dynamics decouple equations translation rotation each node of manipulator. Then resulting architecture used develop distributed algorithms recurrent networks. proposed RNN-based...
Percutaneous image-guided tumor ablation is a minimally invasive surgical procedure for the treatment of malignant tumors using needle-shaped probe. Automating insertion needle by robot could increase accuracy and decrease execution time procedure. Extracting tip position from ultrasound (US) images paramount importance verifying that not approaching any forbidden regions (e.g., major vessels ribs), also be used as direct feedback signal to inserting needle. A method estimating has...
With 3D sensing becoming cheaper, environment-aware and visually-guided robot arms capable of safely working in collaboration with humans will become common. However, a reliable calibration is needed, both for camera internal calibration, as well Eye-to-Hand to make sure the whole system functions correctly. We present framework, using novel combination proven methods, allowing quick automatic integration systems consisting varying number cameras by standard checkerboard grid. Our approach...
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...
The introduction of minimally invasive surgery has demonstrated the need for training surgical skills outside operating room using animal models or simulators. As laparoscopic involves displaying images on a screen, virtual reality simulation tasks is feasible. Different types simulators have become available. existing trainers can be divided into three groups: mechanical, hybrid, and reality. This article aims at giving an overview different available potential in education surgeons with...
We have used acceleration sensors to monitor the heart motion during surgery. A three-axis accelerometer was made from two commercially available two-axis sensors, and measure in anesthetized pigs. The moves due both respiration beating. beating isolated by high-pass filtering at 1.0 Hz, wall velocity position were calculated numerically integrating filtered traces. resulting curves reproduced great detail, noise hardly visible. Events that occurred measurements, e.g. arrhythmias...
Abstract Background Laparoscopic liver resection (LLR) of colorectal metastases (CLM) is increasingly performed in specialized centers. While there a trend towards parenchyma-sparing strategy multimodal treatment for CLM, its role yet unclear. In this study we present short- and long-term outcomes laparoscopic (LPSLR) at single center. Patients methods LLR were 951 procedures between August 1998 March 2017 Oslo University Hospital, Oslo, Norway. who primarily underwent LPSLR CLM included the...
Perioperative mortality in coronary artery bypass grafting is usually caused by reduced left ventricular function due to regional myocardial ischemia or infarction. Post-operative graft occlusion a well-known problem surgery. A sensitive tool detect and monitor may give the opportunity revise malfunctioning grafts before departure from hospital. This paper describes how new method can cardiac using 3-axis piezoelectric accelerometer. In three anesthetized pigs, accelerometer was sutured on...
As of 2014 more than 1200 patients have received a cochlear implant (CI) at Oslo University Hospital (OUS) and approximately half them been children. The data obtained from these used to develop comprehensive database for systematic analysis several objective measurements programming measurements. During the past 10 years, we an protocol our CI surgeries. Our intra-operative includes: Evoked Compound Action Potentials (ECAP), visually observed Electrically evoked Stapedius Reflex Threshold...