Yong Pang1, Bing Wu2, Xiaoliang Zhang2,3
1Radiology and Biomedical imaging, University of California San Francisco, San Francisco, CA , United States; 2Radiology and Biomedical imaging, University of California San Francisco, San Francisco, CA, United States; 3 UCSF/UC Berkeley Joint Graduate Group in Bioengineering, San Francisco & Berkeley, CA, United States
Sparse MRI can reduce the acquisition time and raw data size using significantly undersampled k-space. However, conventional k-trajectories waste much time in traveling useless k-space samples. In this work the optimal k-space trajectory design for sparse MRI is addressed. After sampling the k-space using Monto-Carlo sampling schemes, the graphic theory is applied to design an optimal shingle-shot k-trajectory traveling through all these samples, which can further decrease the acquisition time. To demonstrate the feasibility and efficiency, conventional Cartesian EPI and spiral trajectories, as well as their gradients are designed to be compared with those of the optimal k-trajectory.