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Published online before print September 11, 2007, 10.1148/radiol.2451061791
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(Radiology 2007;245:567-576.)
© RSNA, 2007

Technical Developments

Coronary Artery Motion and Cardiac Phases: Dependency on Heart Rate—Implications for CT Image Reconstruction1

Lars Husmann, MD, Sebastian Leschka, MD, Lotus Desbiolles, MD, Tiziano Schepis, MD, Oliver Gaemperli, MD, Burkhardt Seifert, PhD, Philippe Cattin, PhD, Thomas Frauenfelder, MD, Thomas G. Flohr, PhD, Borut Marincek, MD, Philipp A. Kaufmann, MD, and Hatem Alkadhi, MD

1 From the Institute of Diagnostic Radiology (L.H., S.L., L.D., T.F., B.M., H.A.) and Cardiovascular Center (T.S., O.G., P.A.K.), University Hospital Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland; Department of Biostatistics (B.S.) and Center for Integrative Human Physiology (P.A.K.), University of Zurich, Zurich, Switzerland; Computer Vision Laboratory, Swiss Federal Institute of Technology, ETH Zurich, Zurich, Switzerland (P.C.); and Computed Tomography CTE PA, Siemens Medical Solutions, Forchheim, Germany (T.G.F.). From the 2006 RSNA Annual Meeting. Received October 17, 2006; revision requested December 19; revision received January 26, 2007; final version accepted March 7. Supported by the National Center of Competence in Research, Computer Aided and Image Guided Medical Interventions of the Swiss National Science Foundation and by the Georg und Bertha Schwyzer-Winiker Stiftung, Switzerland. Address correspondence to H.A. (e-mail: hatem.alkadhi{at}usz.ch).

This study had institutional review board approval; written informed consent was obtained. The purpose was to prospectively determine the heart rate (HR) dependency of three-dimensional (3D) coronary artery motion by incorporating into analysis the durations of systole and diastole. Thirty patients (seven women, 23 men; mean age, 56.6 years ± 12.7 [standard deviation]; HR: 45–100 beats per minute) underwent electrocardiographically gated 64-section computed tomographic (CT) coronary angiography to determine coronary motion velocities at bifurcation points. Significance of velocity differences (P < .05) was determined by using analysis of variance for repeated measures and Bonferroni post hoc tests. HR dependency was determined by using linear regression analysis. HR significantly affected 3D coronary motion (r = 0.47, P < .009) through nonproportional shortening of systole and diastole (r = –0.82, P < .001), leading to percentage reconstruction interval shifts of coronary velocity troughs and peaks (P < .01). Results suggest that image reconstruction algorithms at CT coronary angiography be adapted to the individual patient's HR.

Supplemental material: http://radiology.rsnajnls.org/cgi/content/full/2451061791/DC1

© RSNA, 2007




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