3D Segmentation of Coronary Arteries in Dual Source CT Images
ZHAO Jie
JIANG Shizhong
HUANG Zhanpeng
OU Shanxing
Abstract：To solve the accurate coronary artery segmentation,an automatic segmentation algorithm based on multi -scale filtering and statistic decision were proposed.First,the tubular structure based on multi -scale Hessian matrix was enhanced,then the voxels into target and background were divided,at last the left arteries was extracted by the process of 3D region.The experiment results showed that the method could segment coronary artery and extract centerline of the vessels accurately.The proposed model can avoid vascular leakage and pseudo vascular,extract the whole vessel trees automatically,accurately and efficiently without manual interaction.
Keywords：Dual source CTCoronary arteryMultiple scalesHessian matrixExpectation Maximization algorithm
Publication Date：2016-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 197-201 )