IVOCT Image Based Coronary Artery Stent Detection Reconstruction

Coronary heart disease has become a disease with the highest mortality rate in the world. The main treatment for coronary artery disease is coronary stenting. The detection and reconstruction of stents after coronary stent implantation is currently a difficult problem. In this paper, a reconstruction method for coronary stent detection based on IVOCT images was proposed. This method utilized the continuity of IVOCT image frames and the columnar shadow of the stent to realize two-dimensional and three-dimensional reconstruction of the stent. Median filtering, Otsu method, Canny method, pixel fetching and coordinate conversion were used. It was verified that the reconstruction of stent images could be achieved accurately when the frame spacing of IVOCT images satisfies the sampling theory. The stent recognition reconstruction method could be used in clinical applications to assist physicians in post-stenting status analysis.