Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions

Medical Image Analysis
Hua MaTheo van Walsum

Abstract

Percutaneous coronary intervention is a minimally invasive procedure that is usually performed under image guidance using X-ray angiograms in which coronary arteries are opacified with contrast agent. In X-ray images, 3D objects are projected on a 2D plane, generating semi-transparent layers that overlap each other. The overlapping of structures makes robust automatic information processing of the X-ray images, such as vessel extraction which is highly relevant to support smart image guidance, challenging. In this paper, we propose an automatic online layer separation approach that robustly separates interventional X-ray angiograms into three layers: a breathing layer, a quasi-static layer and a vessel layer that contains information of coronary arteries and medical instruments. The method uses morphological closing and an online robust PCA algorithm to separate the three layers. The proposed layer separation method ran fast and was demonstrated to significantly improve the vessel visibility in clinical X-ray images and showed better performance than other related online or prospective approaches. The potential of the proposed approach was demonstrated by enhancing contrast of vessels in X-ray images with low vessel contrast, w...Continue Reading

Citations

Jun 21, 2018·Physics in Medicine and Biology·Jingyang ZhangLixu Gu
Feb 6, 2018·Medical & Biological Engineering & Computing·Hamid R FazlaliKayvan Najarian
Dec 21, 2019·BMC Medical Informatics and Decision Making·Shuang SongJian Yang

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