2002 · 26 citations · 8 references
ComputingBiomedical EngineeringComputer ScienceBiomedical Signal ProcessingComputer VisionOptimizationCurve FittingGeometry ProcessingMedical Image AnalysisSpline CurvesVascular AnatomyVascular ImagingB-spline FeaturesB-spline ModelingGabor FeaturesGabor FilteringParametric Curve RepresentationVascular MorphologyVascular SegmentationVessel Geometry
The authors present several new techniques for determining vessel boundaries, or enhancing their centerline features. A bank of S-Gabor filter pairs are used to create an energy field. Vessels are represented by B-spline snakes, and depending on whether vascular boundaries or centerlines are to be determined, they are optimized on appropriate filter outputs. The optimization engine is a new dynamic programming algorithm which determines the parametric curve of least energy, and can be used to optimize B-spline curves of any order. Results are demonstrated on a number of common angiograms including preand post-angioplasty coronary angiograms, and a carotid arteriogram.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Simulation of neural contour mechanisms: from simple to end-stopped cells
F. Heitger, L. Rosenthaler, R. von der Heydt et al. · Vision Research · 1992 · 294 citations