title: Projection-based motion compensation and reconstruction of coronary segments and cardiac implantable devices using rotational X-ray angiography.
abstract: Cardiologists use two-dimensional projection images in conventional X-ray coronary angiography for the assessment of three-dimensional structures. During minimally invasive interventions there is a need to clearly visualize and analyze contrast filled coronary arteries, surrounding tissue, and implanted devices. Three-dimensional reconstruction of these structures is challenging due to the cardiac and respiratory motion. In this paper we describe a method to automatically generate motion compensated reconstructions of various structures using rotational X-ray angiography. The method uses markers on a device or guide wire to identify and estimate the motion of an object or region of interest in order to register and motion compensate the projection images to generate a motion compensated reconstruction. The method is evaluated on 20 rotational acquisitions and the average marker couple detection rate is 84% for cardiac stents, 90% for closure devices and 20% for contrast filled coronaries. The projection images are motion compensated based on the semi-automatically detected markers and subsequently used for reconstruction. We conclude that it is feasible to reconstruct cardiac stents, closure devices, contrast filled coronaries, and calcified plaques using rotational X-ray angiography.
authors: Philips Healthcare, Cardio/Vascular Innovation, Best, The Netherlands. gert.schoonenberg@philips.com
authors: Gert
authors: G
authors: Schoonenberg
authors: Raoul
authors: R
authors: Florent
authors: Pierre
authors: P
authors: Lelong
authors: Onno
authors: O
authors: Wink
authors: Daniel
authors: D
authors: Ruijters
authors: John
authors: J
authors: Carroll
authors: Bart
authors: B
authors: ter Haar Romeny
mesh_terms: D000465:Algorithms; D016477:Artifacts; D017023:Coronary Angiography / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019736:Prostheses and Implants; D011856:Radiographic Image Enhancement / Q000295:instrumentation / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity