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Abstract #2781

Optimization of whole-brain intracranial arterial wall imaging sequence using Bloch equation simulation

Lei Zhang1, Chao Zou1, Lijie Ren2, Dong Liang1, and Xin Liu1

1Paul C. Lauterbur Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China, 2Neurology, Shenzhen Second People’s Hospital, Shenzhen, People's Republic of China

T1 weighted SPACE has gain popularity in intracranial wall imaging, but its long scan time makes it impractical and its multiple parameters make it very difficult to be optimized. In this study, we looked into the effect of various imaging parameters of T1w SPACE on the signal-to-noise (SNR) and contrast ratio (CR) between vessel wall and cerebrospinal fluid using Bloch equation simulation. An optimized whole-brain intracranial artery wall imaging protocol which had comparable higher CR and SNR within 8min and 0.55mm iso resolution was found. The simulation results were verified by the volunteer study and matched the experiments well.

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