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 Yuan^1,2

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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