Deep feature descriptor based hierarchical dense matching for X-ray angiographic images.

Affiliation

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China. Electronic address: [Email]

Abstract

Backgroud and Objective: X-ray angiography, a powerful technique for blood vessel visualization, is widely used for interventional diagnosis of coronary artery disease because of its fast imaging speed and perspective inspection ability. Matching feature points in angiographic images is a considerably challenging task due to repetitive weak-textured regions.

Keywords

Convolutional neural network,Coronary artery,Hierarchical dense matching,