title: A motion-compensated scheme for helical cone-beam reconstruction in cardiac CT angiography.
abstract: Since coronary heart disease is one of the main causes of death all over the world, cardiac computed tomography (CT) imaging is an application of very high interest in order to verify indications timely. Due to the cardiac motion, electrocardiogram (ECG) gating has to be implemented into the reconstruction of the measured projection data. However, the temporal and spatial resolution is limited due to the mechanical movement of the gantry and due to the fact that a finite angular span of projections has to be acquired for the reconstruction of each voxel. In this article, a motion-compensated reconstruction method for cardiac CT is described, which can be used to increase the signal-to-noise ratio or to suppress motion blurring. Alternatively, it can be translated into an improvement of the temporal and spatial resolution. It can be applied to the entire heart in common and to high contrast objects moving with the heart in particular, such as calcified plaques or devices like stents. The method is based on three subsequent steps: As a first step, the projection data acquired in low pitch helical acquisition mode together with the ECG are reconstructed at multiple phase points. As a second step, the motion-vector field is calculated from the reconstructed images in relation to the image in a reference phase. Finally, a motion-compensated reconstruction is carried out for the reference phase using those projections, which cover the cardiac phases for which the motion-vector field has been determined.
authors.affiliation: Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Röntgenstrasse 24-26, D-22335 Hamburg, Germany. uolo.van.Stevendaal@philips.com
authors.forename: U
authors.initials: U
authors.lastname: van Stevendaal
authors.forename: J
authors.initials: J
authors.lastname: von Berg
authors.forename: C
authors.initials: C
authors.lastname: Lorenz
authors.forename: M
authors.initials: M
authors.lastname: Grass
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000295:instrumentation / Q000379:methods*; D004562:Electrocardiography / Q000379:methods; D006321:Heart / Q000000981:diagnostic imaging; D006801:Humans; D008953:Models, Anatomic; D015233:Models, Statistical; D008962:Models, Theoretical; D009038:Motion; D009206:Myocardium / Q000473:pathology*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012984:Software; D013997:Time Factors; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*