Meeting Banner
Abstract #0642

Metric Optimized Gating for Fetal Cardiac Imaging

Christopher William Roy1, Mike Seed2, Joshua F. van Amerom3,4, Lars Grosse-Wortmann2,4, Shi-Joon Yoo2,4, Christopher K. Macgowan3,4

1Departments of Medical Biophysics & Medical Imaging, University of Toronto , Toronto, Ontario, Canada; 2Division of Cardiology, Department of Paediatrics, The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada; 3Departments of Medical Biophysics & Medical Imaging, University of Toronto, Toronto, Ontario, Canada; 4Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada


A metric-based image reconstruction method is introduced for fetal myocardial imaging. This method, known as metric optimized gating (MOG), is adapted from a previous study of fetal blood flow. It involves oversampling k-space and then reconstructing images according to an iterative heart-rate model until an image metric is minimized (spatial entropy). The accuracy of this approach in the presence of heart-rate variability is investigated through numerical simulation, and the benefit of higher-order heart-rate models is also presented. Finally, MOG results from a healthy adult volunteer are compared directly to those using direct ECG gating to test feasibility in vivo.

Keywords