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Abstract #1310

Three Dimensional Digital Polyhedral Phantom Framework with Analytical Fourier Transform & Application in Cardiac Imaging

Tri Minh Ngo1, George S. K. Fung2, Benjamin M.W. Tsui1,2, Elliot McVeigh1, Daniel A. Herzka1

1Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States; 2Division of Medical Imaging Physics, Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD, United States

We present a framework which enables realistic 3-D digital phantoms of organs such as the brain and heart to be constructed from polyhedra which have an analytical Fourier transform. Using this framework and data provided by the 4-D eXtended CArdiac Torso (XCAT) phantom, we constructed an anatomically realistic 4-D phantom of the beating heart represented analytically in the k-space and image domains. We used the phantom to simulate motion artifacts observed in 3-D cine acquisitions at different temporal resolutions. This phantom provides a physiologically realistic gold standard permitting the exploration and optimization of acquisition, motion compensation, and reconstruction strategies.