Iterative reconstruction in cardiac CT

Christopher Naoum; Philipp Blanke; Jonathon Leipsic

doi:10.1016/j.jcct.2015.04.004

Iterative reconstruction in cardiac CT

J Cardiovasc Comput Tomogr. 2015 Jul-Aug;9(4):255-63. doi: 10.1016/j.jcct.2015.04.004. Epub 2015 Apr 21.

Authors

Christopher Naoum¹, Philipp Blanke¹, Jonathon Leipsic²

Affiliations

¹ Department of Medical Imaging and Division of Cardiology, St Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC, Canada V6Z 1Y6.
² 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.

PMID: 26088375
DOI: 10.1016/j.jcct.2015.04.004

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.

Keywords: Cardiac computed tomography; Coronary computed tomography; Iterative reconstruction; Radiation dose.

Publication types

Review

MeSH terms

Algorithms
Coronary Angiography / methods*
Coronary Artery Disease / diagnostic imaging*
Humans
Imaging, Three-Dimensional / methods*
Radiographic Image Enhancement / methods*
Radiographic Image Interpretation, Computer-Assisted / methods*
Reproducibility of Results
Sensitivity and Specificity
Tomography, X-Ray Computed / methods*