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Real-time registration of 3D cerebral vessels to X-ray angiograms

https://doi.org/10.1007/bfb0056302
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-63046-5_37openalex-snapshot
Segmentation of cerebral vessels and aneurysms from MR angiography data
inferredcites →https://doi.org/10.1007/bfb0029232openalex-snapshot
Matching 3D MR angiography data and 2D X-ray angiograms
inferredcites →https://doi.org/10.1109/34.121791openalex-snapshot
A method for registration of 3-D shapes
inferredcites →https://doi.org/10.1109/icpr.1996.546719openalex-snapshot
Force-based registration method using attribute values
inferredcites →https://doi.org/10.1109/robot.1996.509154openalex-snapshot
Visual head tracking and slaving for visual telepresence

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A survey of medical applications of 3D image analysis and computer graphics
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Comparison of Simultaneous and Sequential Two-View Registration for 3D/2D Registration of Vascular Images
inferred← citeshttps://doi.org/10.1007/11569541_43openalex-snapshot
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling
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Learning-Based 2D/3D Rigid Registration Using Jensen-Shannon Divergence for Image-Guided Surgery
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New CTA Protocol and 2D-3D Registration Method for Liver Catheterization
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Toward Interactive User Guiding Vessel Axis Extraction from Gray-scale Angiograms: An Optimization Framework
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2D-3D Intensity Based Registration of DSA and MRA - A Comparison of Similarity Measures
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A Comparison of 2D-3D Intensity-Based Registration and Feature-Based Registration for Neurointerventions
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Efficient 3D-3D Vascular Registration Based on Multiple Orthogonal 2D Projections
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Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization
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Registration and matching of projection imaging and tomographic imaging. Application to X-rays angiographies and magnetic resonance angiographies
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Vesselness-based 2D–3D registration of the coronary arteries
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3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms
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Intensity-based 2D-3D spine image registration incorporating a single fiducial marker1
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Planning and Intraoperative Visualization of Liver Catheterizations
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Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA
inferred← citeshttps://doi.org/10.1016/j.media.2016.05.005openalex-snapshot
Vascular image registration techniques: A living review
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.07.070openalex-snapshot
A computationally efficient 3D/2D registration method based on image gradient direction probability density function
inferred← citeshttps://doi.org/10.1016/s1076-6332(99)80432-2openalex-snapshot
Registration of 3D cerebral vessels with 2D digital angiograms: Clinical evaluation
inferred← citeshttps://doi.org/10.1088/0031-9155/48/16/309openalex-snapshot
An algorithm for mapping the catheter tip position on a fluorograph to the three-dimensional position in magnetic resonance angiography volume data
inferred← citeshttps://doi.org/10.1088/0031-9155/56/16/017openalex-snapshot
Validation of 3D multimodality roadmapping in interventional neuroradiology
inferred← citeshttps://doi.org/10.1088/0031-9155/56/4/010openalex-snapshot
Registration of 2D x-ray images to 3D MRI by generating pseudo-CT data
inferred← citeshttps://doi.org/10.1088/1361-6560/aa9474openalex-snapshot
Monoplane 3D–2D registration of cerebral angiograms based on multi-objective stratified optimization
inferred← citeshttps://doi.org/10.1109/access.2020.2989150openalex-snapshot
A Spatiotemporal Agent for Robust Multimodal Registration
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3D Touchless Fingerprints: Compatibility with Legacy Rolled Images
inferred← citeshttps://doi.org/10.1109/cvpr.2003.1211518openalex-snapshot
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
inferred← citeshttps://doi.org/10.1109/iccv.2003.1238376openalex-snapshot
Fast intensity-based 2D-3D image registration of clinical data using light
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Preoperative and intraoperative image processing for assisting endovascular stent grafting
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Preoperative and intraoperative image processing for assisting endovascular stent grafting
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A quick 3D-2D registration method for a wide-range of applications
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Position and pose detection of active camera-head in a nuclear power plant
inferred← citeshttps://doi.org/10.1109/isbi.2004.1398636openalex-snapshot
2D-3D vascular registration between digital subtraction angiographic (DSA) and magnetic resonance angiographic (MRA) images
inferred← citeshttps://doi.org/10.1109/isbi.2011.5872620openalex-snapshot
A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI)
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Data Acquisition and Processing of 3-D Fingerprints
inferred← citeshttps://doi.org/10.1109/tmi.2003.819283openalex-snapshot
Intensity-based 2-D-3-D registration of cerebral angiograms
inferred← citeshttps://doi.org/10.1109/tmi.2005.852067openalex-snapshot
A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use
inferred← citeshttps://doi.org/10.1109/tmi.2005.853240openalex-snapshot
Standardized evaluation methodology for 2-D-3-D registration
inferred← citeshttps://doi.org/10.1109/tmi.2005.856749openalex-snapshot
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration
inferred← citeshttps://doi.org/10.1109/tmi.2005.859715openalex-snapshot
3-D/2-D registration by integrating 2-D information in 3-D
inferred← citeshttps://doi.org/10.1109/tmi.2008.2011519openalex-snapshot
Deformable 2D-3D Registration of Vascular Structures in a One View Scenario
inferred← citeshttps://doi.org/10.1109/tmi.2014.2300117openalex-snapshot
Oriented Gaussian Mixture Models for Nonrigid 2D/3D Coronary Artery Registration
inferred← citeshttps://doi.org/10.1109/tsmcb.2005.843978openalex-snapshot
Eliminating False Matches for the Projective Registration of Free-Form Surfaces With Small Translational Motions
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Automated registration of 3D x-ray angiography images to magnetic resonance images
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Augmented reality based on fast deformable 2D-3D registration for image-guided surgery
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Matching of projection imaging and tomographic imaging: application to digital subtracted angiography (DSA) and magnetic resonance angiography (MRA)
inferred← citeshttps://doi.org/10.1117/12.481888openalex-snapshot
Fast calculation of digitally reconstructed radiographs using light fields
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A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images
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A robust optimization strategy for intensity-based 2D/3D registration of knee implant models to single-plane fluoroscopy
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Model-to-image based 2D-3D registration of angiographic data
inferred← citeshttps://doi.org/10.1117/12.877541openalex-snapshot
Gradient-based 3D-2D registration of cerebral angiograms
inferred← citeshttps://doi.org/10.1117/12.910904openalex-snapshot
3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients
inferred← citeshttps://doi.org/10.1118/1.1373400openalex-snapshot
Validation of a two‐ to three‐dimensional registration algorithm for aligning preoperative CT images and intraoperative fluoroscopy images
inferred← citeshttps://doi.org/10.1118/1.2123350openalex-snapshot
2D‐3D registration of coronary angiograms for cardiac procedure planning and guidance
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Robust initialization of 2D-3D image registration using the projection-slice theorem and phase correlation
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Simultaneous 3D–2D image registration and C‐arm calibration: Application to endovascular image‐guided interventions
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Multimodal image registration of the scoliotic torso for surgical planning
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Automatic anatomical labeling method of cerebral arteries in MR-angiography data set.
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Automatic 2D-3D Registration without Contrast Agent during Neurovascular Interventions
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A global optimization strategy for 3D-2D registration of vascular images
inferred← citeshttps://doi.org/10.70675/80ff54efzdf70z4e29z8a7ez5b5fe927d520openalex-snapshot
Méthodes d'automatisation de la détection des lésions vasculaires dans des images de tomodensitométrie
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Automated and computationally efficient joint motion analysis using low quality fluoroscopy images
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