ArticleInternational journal of computer assisted radiology and surgery2021
3D-XGuide: open-source X-ray navigation guidance system.
Article in International journal of computer assisted radiology and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Image-Based Medical Navigation Systems for Cardiac Interventions: Recent Technological Advances.Cardiovascular engineering and technology · 2026Review
- Impact of cardiac and respiratory motion on the 3D accuracy of image-guided interventions on monoplane systems.International journal of computer assisted radiology and surgery · 2024Article
- Cardiac magnetic resonance imaging for preprocedural planning of percutaneous left atrial appendage closure.Frontiers in cardiovascular medicine · 2023Article
- 3D localization from 2D X-ray projection.International journal of computer assisted radiology and surgery · 2022Article
- Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease.Frontiers in cardiovascular medicine · 2022Article
- Cryo-balloon catheter localization in X-Ray fluoroscopy using U-net.International journal of computer assisted radiology and surgery · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeWith the growing availability and variety of imaging modalities, new methods of intraoperative support have become available for all kinds of interventions. The basic principles of image fusion and image guidance have been widely adopted and are commercialized through a number of platforms. Although multimodal systems have been found to be useful for guiding interventional procedures, they all have their limitations. The integration of more advanced guidance techniques into the product functionality is, however, not easy due to the proprietary solutions of the vendors. Therefore, the purpose of this work is to introduce a software system for image fusion, real-time navigation, and working points documentation during transcatheter interventions performed under X-ray (XR) guidance.
methodsAn interactive software system for cross-modal registration and image fusion of XR fluoroscopy with CT or MRI-derived anatomic 3D models is implemented using Qt application framework and VTK visualization pipeline. DICOM data can be imported in retrospective mode. Live XR data input is realized by a video capture card application interface.
resultsThe actual software release offers a graphical user interface with basic functionality including data import and handling, calculation of projection geometry and transformations between related coordinate systems, rigid 3D-3D registration, and template matching-based tracking and motion compensation algorithms in 2D and 3D. The link to the actual software release on GitHub including source code and executable is provided to support independent research and development in the field of intervention guidance.
conclusionThe introduced system provides a common foundation for the rapid prototyping of new approaches in the field of XR fluoroscopic guidance. As a pure software solution, the developed system is potentially vendor-independent and can be easily extended to be used with the XR systems of different manufacturers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.