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Abstract #4747

Evaluation of k-space uniformity and blade number-optimized (K-B-optimized) binning method for abdominal 4D-DW-Propeller-EPI

Lu Wang1, Tian Li2, Jing Cai2, Liyuan Liang1, and Hing-Chiu Chang3
1Department of Diagnostic Radiology, University of Hong Kong, Hong Kong, China, 2Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China, 3Department of Biomedical Engineering, Chinese University of Hong Kong, Hong Kong, China


Four-dimensional diffusion-weighted imaging (4D-DWI) attracts lots of attention in MRI-guided radiotherapy since it can provide functional information and better delineate the tumor. However, the previously reported 4D-DW-Propeller-EPI technique used amplitude data binning with continuous interval to sort the blade data that might lead to non-uniform distribution of k-space sampling, therefore being suboptimal for subsequent Propeller-EPI reconstruction. Thus, we propose a new (K-B-optimized) binning method to consider the requirement of propeller reconstruction during the sorting of blade data, thereby improving the k-space distribution. Simulation and in-vivo studies demonstrated that the new binning method can improve the data quality of 4D-DW-Propeller-EPI.

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