High angular resolution diffusion imaging (HARDI) is a useful tool for neuroscience research, but the widespread clinical applications are limited by its long scan time and low spatial resolution. Multiple strategies have been proposed to achieve in-plane acceleration to improve the scan efficiency and geometric fidelity for HARDI. However, the feasible in-plane acceleration factor is still limited by the number of coils and the noise amplification associated with parallel imaging reconstruction. In this study, we proposed a reconstruction method based on SVD for HARDI to achieve superior reconstruction performance, even when acceleration factor is greater than number of coils.
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