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Abstract #0834

Accelerated Ultrahigh Temporal-Resolution MRI with Random k-Space Undersampling

Qingfei Luo1, Zheng Zhong1,2, Kaibao Sun1, and Xiaohong Joe Zhou1,2,3
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

It has been reported that a new sequence, epi-SPEEDI, can offer sub-millisecond temporal resolution, but its scan time is relatively long due to phase-encoding. In this study we propose an accelerated version of epi-SPEEDI (named epi-SPEEDI-kt) that improves the acquisition efficiency of epi-SPEEDI by randomly undersampling the k-space, followed by image reconstruction using joint spatiotemporal partial separability and sparsity constraints. Through a human imaging example for visualizing the dynamics of aortic valve, we demonstrated that epi-SPEEDI-kt can provide comparable image quality to epi-SPEEDI and reduce the scan time by ~50% concurrently. This acceleration is expected to enhance SPEEDI applications.

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