Abstract #1205

Diffusion-prepared multi-shot bSSFP imaging with gradient stabilizer

Yu Gao^1,2, Fei Han¹, Ziwu Zhou¹, Xingfeng Shao³, Xiaodong Zhong⁴, Danny JJ Wang³, Yingli Yang^2,5, and Peng Hu^1,2

¹Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, ²Physics and Biology in Medicine IDP, University of California, Los Angeles, Los Angeles, CA, United States, ³Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁴Siemens Healthcare, Los Angeles, CA, United States, ⁵Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States

A gradient stabilizer strategy was proposed to solve the k-space magnitude inconsistency problem in multi-shot diffusion-prepared bSSFP imaging. Simulation studies showed that the proposed approach is insensitive to phase errors during the diffusion encoding stage, and has built-in fat-saturation property. Phantom and in-vivo studies verified that adding gradient stabilizers could remove signal loss and artifacts, and provide repeatable artifact-free images. Combined with existing phase correction techniques, the proposed approach provided distortion-free high-quality 2D diffusion-weighted and diffusion tensor images, and has the potential of extending to 3D.

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