Abstract #3356

Highly Accelerated 3D MR Angiography Using Multi-Channel Blind Deconvolution

Peizhou Huang¹, Jingyuan Lyu², Hongyu Li³, Yongsheng Chen^4,5, Saifeng Liu⁴, Chaoyi Zhang³, Ukash Nakarmi³, E. Mark Haacke^4,5, and Leslie Ying^1,3

¹Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States, ²United-Imaging Healthcare America, Houston, TX, United States, ³Electrical Engineering, State University of New York at Buffalo, Buffalo, NY, United States, ⁴The MRI Institute for Biomedical Research, Detroit, MI, United States, ⁵Department of Radiology, Wayne State University, Detroit, MI, United States

In many clinical applications, the three dimensional (3D) MRA plays an important role because that the 3D MRA can provide plenty of details for more compact anatomic regions with various flow directions. However, the speed limitation of the 3D MRA reconstruction is still an unignorable problem due to the size of the dataset, especially when the dataset has multi channels. With our proposed method, the Multi-Channel Blind Deconvolution (MalBEC), the experiment demonstrate that this method can provide high quality reconstruction image with high acceleration factors using much less time.

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