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Abstract #2931

Deterministic Comparisons of Nonlinear Acceleration Methods Using a Realistic Digital Phantom

Leah Christine Henze1, Catherine J. Moran2, Matthew R. Smith2, Frederick Kelcz3, Dan Xu4, Kevin F. King4, Alexey Samsonov3, Walter F. Block, 12

1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States; 2Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; 3Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States; 4Global Applied Science Lab, General Electric Healthcare, Milwaukee, WI, United States


Several different accelerated imaging methods exist that can improve the acquisition of dynamic data. Clinical adoption of many of these methods has been slow, partially due to the difficulty in conclusively proving the extent to which a specific method provides additional diagnostic information that would not otherwise have been available. We have created a realistic digital phantom from which k-space data for a DCE exam can be simulated and reconstructed by both Cartesian and non Cartesian acceleration methods. We use the phantom to quantitatively analyze and compare the performance of multiple accelerated imaging methods.

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