Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels.
Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels.
复制标题
利用贻贝对多镜头多通道扩散数据进行综合重建。
DOI：
10.1109/embc.2016.7590897
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Jacob,Mathews
中科院分区：
文献类型：
--
作者：
Mani,Merry;Magnotta,Vincent;Kelley,Douglas;Jacob,Mathews
Echo planar imaging (EPI)-based magnetic resonance imaging (MRI) data are often corrupted by Nyquist ghost artifacts resulting from odd-even shifts of the EPI read-outs. Algorithms that corrects for the Nyquist ghost artifacts rely on calibration scans that are collected prior to the data acquisition. However, a more complex pattern of ghosting artifacts arises when diffusion-weighted data are acquired using segmented k-space EPI read-outs. The additional under-sampling present in the segmented acquisitions and the inter-shot motion during diffusion weighted acquistion cause ghosting artifacts in addition to the EPI ghosting arising from odd-even shifts. We propose a comprehensive method that can remove the Nyquist-ghosting artifacts as well as the inter-shot motion-induced ghosting artifacts in diffusion weighted images in a single step from partial Fourier data without the need for a calibration scan. We show very high quality diffusion data recovery using the proposed method.
