Lisha Yuan1, Qing Li2, Guojing Wei3, Hongjian He1, and Jianhui Zhong4
1Department of Biomedical Engineering, Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China, 2MR Collaborations, Siemens Healthcare Ltd., Shanghai, China, 3SHS DI MR R&D SZN LP, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 4Department of Imaging Sciences, University of Rochester, Rochester, NY, United States
1Department of Biomedical Engineering, Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China, 2MR Collaborations, Siemens Healthcare Ltd., Shanghai, China, 3SHS DI MR R&D SZN LP, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 4Department of Imaging Sciences, University of Rochester, Rochester, NY, United States
A
general framework was proposed to calculate b-matrix automatedly and
accurately. Taking the effects of all gradient pulses into account, it provides
accurate b-matrix and is of great significance when the imaging gradients have
a non-negligible diffusion-related signal attenuation.
Figure 1. (a) A generalized imaging sequence along one coordinate direction, and (b) a general framework for an automated and
accurate calculation of b matrix.
Figure
2. 2D SE imaging sequence
