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Abstract #1818

Optimized Parametric Variable Radius Sampling Scheme for 3D Cartesian k-Space Undersampling Pattern Design

Zechen Zhou1, Shuo Chen1, Aiqi Sun1, Yunduo Li1, Rui Li1, and Chun Yuan1,2

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, People's Republic of, 2Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, United States

A parametric variable radius sampling scheme termed Cartesian Under-Sampling with Target Ordering Method (CUSTOM) was introduced for undersampling pattern design to better match the total number of sampling points with the given acceleration factor in 3D Cartesian imaging application. With the same joint parallel imaging and compressed sensing image reconstruction method, parameter optimized CUSTOM has demonstrated its enhanced performance particularly for detail image information restoration in comparison to several undersampling pattern design schemes, as well as its generalization ability in different applications. The prospective experiment validated the feasibility of CUSTOM in clinical settings.

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