title: Iterative reconstruction in cardiac CT.
abstract: Iterative reconstruction (IR) has the ability to reduce image noise in CT without compromising diagnostic quality, which permits a significant reduction in effective radiation dose. This been increasingly integrated into clinical CT practice over the past 7 years and has been particularly important in the field of cardiac CT with multiple vendors introducing cardiac CT-compatible IR algorithms. The following review will summarize the principles of IR algorithms, studies validating their noise- and dose-reducing abilities, and the specific applications of IR in cardiac CT.
authors.affiliation: Department of Medical Imaging and Division of Cardiology, St Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC, Canada V6Z 1Y6.
authors.forename: Christopher
authors.initials: C
authors.lastname: Naoum
authors.affiliation: Department of Medical Imaging and Division of Cardiology, St Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC, Canada V6Z 1Y6.
authors.forename: Philipp
authors.initials: P
authors.lastname: Blanke
authors.affiliation: Department of Medical Imaging and Division of Cardiology, St Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC, Canada V6Z 1Y6. Electronic address: jleipsic@providencehealth.bc.ca.
authors.forename: Jonathon
authors.initials: J
authors.lastname: Leipsic
mesh_terms: D000465:Algorithms; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Cardiac computed tomography; Coronary computed tomography; Iterative reconstruction; Radiation dose