title: Reconstruction of coronary arteries from X-ray angiography: A review.
abstract: Despite continuous progress in X-ray angiography systems, X-ray coronary angiography is fundamentally limited by its 2D representation of moving coronary arterial trees, which can negatively impact assessment of coronary artery disease and guidance of percutaneous coronary intervention. To provide clinicians with 3D/3D+time information of coronary arteries, methods computing reconstructions of coronary arteries from X-ray angiography are required. Because of several aspects (e.g. cardiac and respiratory motion, type of X-ray system), reconstruction from X-ray coronary angiography has led to vast amount of research and it still remains as a challenging and dynamic research area. In this paper, we review the state-of-the-art approaches on reconstruction of high-contrast coronary arteries from X-ray angiography. We mainly focus on the theoretical features in model-based (modelling) and tomographic reconstruction of coronary arteries, and discuss the evaluation strategies. We also discuss the potential role of reconstructions in clinical decision making and interventional guidance, and highlight areas for future research.
authors.affiliation: Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom. Electronic address: s.cimen@sheffield.ac.uk.
authors.forename: Serkan
authors.initials: S
authors.lastname: Çimen
authors.affiliation: Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom. Electronic address: a.gooya@sheffield.ac.uk.
authors.forename: Ali
authors.initials: A
authors.lastname: Gooya
authors.affiliation: Philips Research, Röntgenstraße 24-26, 22335 Hamburg, Germany. Electronic address: michael.grass@philips.com.
authors.forename: Michael
authors.initials: M
authors.lastname: Grass
authors.affiliation: Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom. Electronic address: a.frangi@sheffield.ac.uk.
authors.forename: Alejandro F
authors.initials: AF
authors.lastname: Frangi
mesh_terms: D000465:Algorithms; D000066491:Clinical Decision-Making; D017023:Coronary Angiography / Q000379:methods* / Q000639:trends; D003331:Coronary Vessels / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods
keywords: Coronary artery reconstruction; Modelling; Review; Tomographic reconstruction; X-ray angiography