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arXiv 2407.20904physics.med-pheess.IV

使用无导航多激发螺旋采集的同步多层扩散成像

Simultaneous Multi-Slice Diffusion Imaging using Navigator-free Multishot Spiral Acquisition

Yuancheng Jiang, Guangqi Li, Xin Shao, Hua Guo

AI总结:

本文提出一种无导航多带多激发均匀密度螺旋采集与重建新设计,采用射频脉冲编码实现CAIPI,并提出slice-POCS-ICE算法同时估计扩散加权图像与激发间相位变化,有效解决了伪影并提升了高分辨率扩散成像的图像质量。

摘要:

目的:本工作旨在提出一种无导航多带(MB)多激发均匀密度螺旋(UDS)采集与重建的新设计,并展示其在高效、高分辨率扩散成像中的实用性。理论与方法:我们的设计聚焦于无导航MB多激发UDS扩散成像的采集与重建。在采集方面,采用射频(RF)脉冲编码来实现MB成像中的并行成像受控混叠(CAIPI)。在重建方面,提出了一种名为切片-POCS增强的相位误差固有校正(slice-POCS-ICE)的新算法,以同时估计每个切片的扩散加权图像和激发间相位变化。所提方法的有效性在数值模拟和体内实验中均进行了评估。结果:在数值模拟和体内实验中,slice-POCS-ICE更精确地估计了相位变化,并提供了比其他方法具有更好图像质量的结果。使用所提出的slice-POCS-ICE算法,同时解决了激发间相位变化和MB切片混叠伪影。结论:所提出的无导航MB多激发UDS采集与重建方法是高效、高分辨率扩散成像的有效解决方案。

英文摘要:

Purpose: This work aims to raise a novel design for navigator-free multiband (MB) multishot uniform-density spiral (UDS) acquisition and reconstruction, and to demonstrate its utility for high-efficiency, high-resolution diffusion imaging. Theory and Methods: Our design focuses on the acquisition and reconstruction of navigator-free MB multishot UDS diffusion imaging. For acquisition, radiofrequency (RF) pulse encoding was employed to achieve Controlled Aliasing in Parallel Imaging (CAIPI) in MB imaging. For reconstruction, a new algorithm named slice-POCS-enhanced Inherent Correction of phase Errors (slice-POCS-ICE) was proposed to simultaneously estimate diffusion-weighted images and inter-shot phase variations for each slice. The efficacy of the proposed methods was evaluated in both numerical simulation and in vivo experiments. Results: In both numerical simulation and in vivo experiments, slice-POCS-ICE estimated phase variations more precisely and provided results with better image quality than other methods. The inter-shot phase variations and MB slice aliasing artifacts were simultaneously resolved using the proposed slice-POCS-ICE algorithm. Conclusion: The proposed navigator-free MB multishot UDS acquisition and reconstruction method is an effective solution for high-efficiency, high-resolution diffusion imaging.

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