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Motion robust reconstruction of multi-shot diffusion-weighted images without phase estimation via locally low-rank regularization
Motion robust reconstruction of multi-shot diffusion-weighted images without phase estimation via locally low-rank regularization
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机译:基于局部低秩正则化的无相位估计多镜头扩散加权图像运动鲁棒重建
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摘要
Multi-shot diffusion-weighted magnetic resonance imaging acquires multiple k-space segments of diffusion-weighted MRI data, estimates reconstructed multi-shot diffusion weighted images, and combines the estimated images to obtain a final reconstructed MRI image. The estimation of images iteratively calculates updated multi-shot images from the multiple k-space segments and current multi-shot images using a convex model without estimating motion-induced phase, constructs multiple locally low-rank spatial-shot matrices from the updated multi-shot images, and calculates current multi-shot images from spatial-shot matrices.
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