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Abstract #0440

k-Space Weighted Image Average (KWIA) for ASL-based Dynamic MRA and Perfusion Imaging

Chenyang Zhao1, Xingfeng Shao1, Lirong Yan1, and Danny JJ Wang1
1Laboratory of Functional MRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States

The intrinsically low SNR of ASL techniques is a main limitation that hinders their clinical translations. This work presented a novel denoising algorithm for dynamic MRI termed KWIA and evaluated its use in multi-delay ASL and ASL-based 4D dMRA. KWIA improves SNR without compromising spatial and temporal resolution by progressively increasing the neighboring time frames for view-shared averaging for more distal k-space regions. Experimental results showed that KWIA can provide significant SNR improvement that enables better visualization and quantification for both multi-delay ASL and ASL-based 4D dMRA as well as other dynamic MRI techniques.

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