Vessel extraction in medical images by wave-propagation and traceback
Explore this paper's citation graph
- Type
- article
- Published
- 2001-02-01
- Cited by
- 156
- References
- 25
- OpenAlex
- https://openalex.org/W1984095207
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15266588
Keywords
Computer science, Computer vision, Artificial intelligence, Robustness (evolution), Noise (video)
References
- Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations. Final report
- Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
- A fast marching level set method for monotonically advancing fronts.
- Working towards the automatic detection of blood vessels in X-ray angiograms
- Intensity ridge and widths for tubular object segmentation and description
- Detection of abnormalities on carotid angiograms using syntactic techniques
- A knowledge-based system for the delineation of blood vessels on subtraction angiograms
- Semi-automatic segmentation of vascular network images using a rotating structuring element (ROSE) with mathematical morphology and dual feature thresholding
- An automatic tube inspection system that finds cylinders in range data
- AIM: attentionally based interaction model for the interpretation of vascular angiography
- Back-propagation network and its configuration for blood vessel detection in angiograms
- Quantitative coronary angiography with deformable spline models
- Automated identification of vessel contours in coronary arteriograms by an adaptive tracking algorithm.
- A geometric model for active contours in image processing
- Shape Modeling with Front Propagation: A Level Set Approach
- Generalized tube model: recognizing 3D elongated objects from 2D intensity images
- Recursive tracking of vascular networks in angiograms based on the detection-deletion scheme
- ANGY: A Rule-Based Expert System for Automatic Segmentation of Coronary Vessels From Digital Subtracted Angiograms
- Tracking of tubular objects for scientific applications
- The MasPar MP-1 architecture
Cited by
- Level set based cerebral vasculature segmentation and diameter quantification in CT angiography
- A novel approach for the detection of pathlines in X-Ray angiograms: the wavefront propagation algorithm
- Modèle d'état de cylindre généralisé et la quantification de sténoses artérielles en imagerie 3D
- Visualization in Medicine: Theory, Algorithms, and Applications
- Computer-aided diagnosis in two-phase 201Tl-SPECT of thoracic lesions
- Modèles, primitives et méthodes de suivi pour la segmentation vasculaire. Application aux coronaires en imagerie tomodensitométrique 3D.
- Modélisation in-silico des voies aériennes : reconstruction morphologique et simulation fonctionnelle
- Fully-automatic improvement of the geometry of a vessel graph
- Gap filling in 3D vessel like patterns with tensor fields - application to high resolution computed tomography images of vessel networks
- On the Detection of Retinal Vessels in Fundus Images
- LOCALIZACION DE PLACAS EN VEHICULOS AUTOMOTORES
- 3D model-based vascular tree analysis using differential geometry
- Techniques for temporal registration of retinal images
- Data acquisition for modeling and visualization of vascular tree
- Accurate Curvilinear Modeling for Precise Measurements of Tubular Structures
- Reconstruction of vascular structures in retinal images
- A Review of Coronary Vessel Segmentation Algorithms
- A framework for retinal vasculature segmentation based on matched filters
- Segmentation and motion estimation of stent grafts in abdominal aortic aneurysms
- Calibration-free coronary artery measurements for interventional device sizing using inverse geometry x-ray fluoroscopy: in vivo validation
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