Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks
作者：
Highlights：
• Our fully automated method localizes multiple objects in CT angiography images.
• Bayesian approach models hearts geometric relations as prior distributions.
• Method is applied to identify three coronary arteries.
• Experiments demonstrate robustness and accuracy compared with existing methods.
• Method is robust on challenging cases such as vessels with chronic total occlusion.
摘要
•Our fully automated method localizes multiple objects in CT angiography images.•Bayesian approach models hearts geometric relations as prior distributions.•Method is applied to identify three coronary arteries.•Experiments demonstrate robustness and accuracy compared with existing methods.•Method is robust on challenging cases such as vessels with chronic total occlusion.
论文关键词：Computed tomography angiography,Bayesian,Localization,Coronary artery,Multiple target,Curve analysis,Curvature and torsion
论文评审过程：Received 12 September 2018, Revised 9 June 2019, Accepted 7 July 2019, Available online 8 July 2019, Version of Record 14 July 2019.
论文官网地址：https://doi.org/10.1016/j.patcog.2019.07.003
