A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Improved Direct Volume Visualization of the Coronary Arteries Using Fused Segmented Regions
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
Particle filters, a quasi-monte carlo solution for segmentation of coronaries
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
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Quantitative measurements of the coronary artery tree substructures from Cardiac Multislice-CT data sets is an important goal to improve the diagnosis and treatment of coronary artery disease. This paper presents an algorithm based on morphological grayscale reconstruction through 2D slice images devoted to the extraction of the 3D coronary artery tree. The proposed procedure is conceived as a first step prior to the segmentation and inspection of interesting substructures in the coronaries. The correct extraction of the left coronary arteries has been validated in 9 CT-datasets with satisfactory results, particularly concerning speed and robustness.