Examples of applications

Below are videos that makes use of gVXR. If you made your own video making use of gVXR, please let me know so that I can add it to the list.

  • Hybrid Modeling of Material Imperfection Indications in X-ray Computed Tomography Datasets

    Machine learning, more specifically Deep Learning models, have shown remarkable potential for analyzing 3D CT data within both material science and NDT applications. However, the models require large amounts of training data, especially Deep Learning models. Because high quality real experimental data is expensive to derive, humans annotating, synthetic training data is often utilized. In this work we have explored if training data can be modeled with a hybrid approach; ...

    Erik Lindgren, Fabian Hanning, and Linda Squillaci

  • WebCT - OpenSource Web-based GUI for Realtime X-ray Simulation

    Scan planning for X-ray CT systems can be difficult due to the large number of elements affecting scan quality. The use of X-ray simulation can answer feasibility questions, however existing methods are focused on experts who are familiar with XCT and programming knowledge. WebCT is a user-centric application for performing virtual XCT scans with the validated X-ray simulator gVirtualXray. Focused on accessibility, the interface ...

    Iwan T. Mitchell, Jean Michel Létang, Llion M. Evans and Franck P. Vidal

  • Developing next-generation algorithms for X-ray emission micro-tomography

    X-ray emission micro-imaging, whether induced by protons or synchrotron X-rays (SXRF: Synchrotron X-Ray Fluorescence), enables multi-scale mapping of biologically relevant elements, such as minerals and trace metals, with high mass sensitivity. ...

    A. L. Brun, P. Desbarats, J.-F. Giovannelli, C. Michelet, A. Rouwane and H. Seznec

  • Lung nodule detection in 2D radiographs

    Deep learning models are a promising approach to enhance medical image analysis. However, their performance is limited by the size, quality, and diversity of available training datasets. Incorporating synthetic data into training datasets can address the lack of medical imaging data. The combined use of a virtual anthropomorphic model with gVirtualXRay enables the rapid generation of large synthetic datasets. ...

    Clémentine Hatton and Audrey Henry

  • Spectral CT data simulation and material decomposition

    The ability of gVirtualXRay to simulate spectral CT data plays a crucial role in advancing material decomposition techniques within medical imaging. By generating synthetic datasets across high-energy, low-energy, and conventional CT spectra, gVXR provides essential training data for deep learning models in material decomposition. ...

    Shaghayegh Afshari and Cheng-Ying Chou

  • Hybrid Modeling of Material Imperfection Indications in X-ray Computed Tomography Datasets

    This article presents a fluoroscopy image-based registration method along with a comprehensive protocol for robotic needle insertion in radiofrequency ablation (RFA) to treat liver cancer. ...

    Thuc-Long Ha, Juan Verde, Julien Bert, and Hadrien Courtecuisse

  • Mixed Reality and Real-Time X-Ray Simulation in Vet Radiography Training: A User-Centered Comparative Study

    Proficient training in Diagnostic Imaging (DI) is crucial for veterinary students. However, the training process faces challenges, including limited access to animals and strict radiation safety regulations. ...

    Xuanhui Xu, Antonella Puggioni, David Kilroy, and Abraham G. Campbell},

  • Teaching XCT in NDT using Simulation on GPU with gVirtualXray

    We have deployed gVXR in material science lab-sessions delivered to about 150 MEng students a year at the INSA-Lyon and Polytech Lyon 1 engineer schools. It has been embedded in a Jupyter notebook together with the open-source reconstruction toolkit RTK. Several interactive exercises have been proposed to enable students to learn and gain hands-on experience with X-ray tomographic setups. ...

    Jean Michel Létang and Franck P. Vidal

  • Automated generation of labeled synthetic training data for machine learning based segmentation of 3D-woven composites

    Composite parts with 3D-textile reinforcement show promise in high-performance applications. For widespread use, accurate material characterisations are required. Characterisation of the textile architecture in the as-manufactured state may be performed with X-ray CT. ...

    Johan Friemann, Lars P. Mikkelsen, Carolyn Oddy and Martin Fagerström

  • How does a manufactured object compare to its original CAD design?

    We investigate methods of assessing how a manufactured part differs from a reference CAD model. We use a part of an in-situ tensile testing machine designed to be used with a scanning electron microscope. CAD drawings are available, and the corresponding 3D surface is exported using the STL file format. After manufacturing, a CT scan was acquired with the DTHE scanner ...

    Franck P. Vidal, Iwan T. Mitchell, Jean-Yves Buffière and Jean Michel Létang

  • Automated Porosity Characterization for Aluminum Die Casting Materials Using X-ray Radiography, Synthetic X-ray Data Augmentation by Simulation, and Machine Learning

    Detection and characterization of hidden defects, impurities, and damages in homogeneous materials like aluminum die casting materials, as well as composite materials like Fiber–Metal Laminates (FML), is still a challenge. ...

    by Stefan Bosse, Dirk Lehmhus and Sanjeev Kumar

  • XRayViewer - A C++ Unreal Engine 5 Wrapper for gVirtualXRay

    Lab-CT is a rapidly developing area of research. As CT scanners have become more compact and cheaper, they are more accessible to researchers. This however introduces the problem of training users to correctly operate lab-CT scanners. It is often difficult or not practical to allow researchers time to train thoroughly on equipment before they use it, as this takes up precious time allocated to the researchers. With this in mind, XRayViewer aims to be a generic training tool for researchers to use to gain valuable experience with ...

    Lewis Dixon

  • Use of fast realistic simulations on GPU to extract CAD models from microtomographic data in the presence of strong CT artefacts

    The presence of strong imaging artefacts in microtomographic X-ray data makes the CAD modelling process difficult to carry out. As an alternative to traditional image segmentation techniques, we propose to register the CAD models by deploying a realistic X-ray simulation on GPU in an optimisation framework. A user study was also conducted to compare the measurements made manually by a cohort of ...

    Franck P. Vidal and Iwan T. Mitchell and Jean M. Létang

  • Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning

    Traditional undergraduate radiographer training mixes academic lectures and clinical practice. Our goal is to bridge the current disconnection between theory and practice in a safe environment, avoiding the risk of radiation for both practitioners and patients. To this end, this research proposes a new software to teach diagnostic radiography using real-time interactive X-ray simulation and patient positioning.

    Aaron Sujar, Graham Kelly, Marcos Garcia, and Franck P. Vidal

  • Development and Validation of a Virtual Reality Haptic Femoral Nailing Simulator

    The simulator consisted of a 3D virtual environment, a haptic device and 3D printed drill handle and a VR headset. The environment was created using a video game development engine, interfaced with plugins to allow haptic feedback and image intensifier functionality. Two tasks were created within the simulator as part of an antegrade femoral intramedullary (IM) nail procedure: proximal guidewire entry and distal locking.For the validation study, participants performed the above tasks on the simulator. ...

    Malek Racy, Alastair Barrow, James Tomlinson and Fernando Bello

  • Registration of a generic 3D hand model on 2D radiographs using x-ray simulation and CMA-ES

    Radiographs of the hand are useful in diagnosing and staging diseases such as rheumatoid arthritis (RA) and other musculoskeletal diseases. Radiographs are projections of the 3D anatomy, with the useful information such as pose and pathology becoming lost in the process. We propose a 3D hand pose recovery method for radiographs of hands using a novel hybrid image registration method. Our pose recovery pipeline consists of aligning a simulated X-ray ...

    Tianci Wen and Radu P. Mihail, and Franck P. Vidal

  • X-ray imaging virtual online laboratory for engineering undergraduates

    Distance learning engineering students (as well as those in face-to-face settings) should acquire a basic background in radiation–matter interaction physics (usually in the first semesters). Some students in this group may feel some degree of aversion towards these types of pure science-related subjects (mathematics, physics, chemistry, etc). In online learning scenarios, the average student is already an adult (37 years old or above) and ...

    Alberto Corbi, Daniel Burgos and Franck P. Vidal, Francisco Albiol and Alberto Albiol

  • Densitometric radiographic imaging with contour sensors

    We present the technical/physical foundations of a new imaging technique that combines ordinary radiographic information (generated by conventional X-ray settings) with the patient's volume to derive densitometric images. Traditionally, these images provide quantitative information about tissues densities. In our approach, they graphically enhance either soft or bony regions. After measuring the patient's volume with contour recognition devices, ...

    Francisco Albiol, Alberto Corbi and Alberto Albiol

  • Simulated motion artefact in computed tomography

    We propose a simulation framework to simulate the computed tomography acquisition process. It includes five components: anatomic data, respiration modelling, automatic parametrisation, X-ray simulation, and tomography reconstruction. It is used to generate motion artefacts in reconstructed CT volumes. Our framework can be used to evaluate CT reconstruction algorithm with motion artefact correction in a controlled environment.

    Franck P. Vidal and Pierre-Frédéric Villard

  • A prototype percutaneous transhepatic cholangiography training simulator with real-time breathing motion

    We present here a simulator for interventional radiology focusing on percutaneous transhepatic cholangiography (PTC). This procedure consists of inserting a needle into the biliary tree using fluoroscopy for guidance. ...

    Pierre-Frédéric Villard, Franck P. Vidal, Carrie Hunt, Fernando Bello, Nigel W. John, Sheena Johnson and Derek A. Gould