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Abstract #4336

Evaluation of simple acceleration strategy for advanced neural diffusion models based on half q-space under-sampling 

Min-xiong Zhou1, Huiting Zhang2, Yang Song3, Guang Yang3, and Xu Yan2
1Shanghai University of Medicine & Health Sciences, Shanghai, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univeristy, Shanghai, China

Advanced diffusion models such as NODDI, MAP-MRI are of high interests in brain research, but suffer from long acquisition time. Advanced under-sampling scheme were reported in previous studies for acceleration but are not commercially available. This study evaluates a simple and commercial available under-sampling scheme using the symmetric property of q-space, which could accelerate the acquisition by 2 fold. Results showed that it did not significant sacrifice the accuracy of quantitative maps. In addition, a symmetrically data copy step is needed to improve the estimation accuracy for both MAP-MRI and NODDI models.

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