Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Efficient Skeletonization of Volumetric Objects
IEEE Transactions on Visualization and Computer Graphics
BIOMEDVIS '95 Proceedings of the 1995 Biomedical Visualization (BioMedVis '95)
Knowledge-based segmentation of SAR data with learned priors
IEEE Transactions on Image Processing
Artificial Intelligence in Medicine
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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This paper presents a novel approach that three-dimensionally visualizes and evaluates stenoses in human coronary arteries by using harmonic skeletons. A harmonic skeleton is the center line of a multi-branched tubular surface extracted based on a harmonic function, which is the solution of the Laplace equation. This skeletonization method guarantees smoothness and connectivity and provides a fast and straightforward way to calculate local cross-sectional areas of the arteries, and thus provides the possibility to localize and evaluate coronary artery stenosis, which is a commonly seen pathology in coronary artery disease.