Integrated and efficient diffusion-relaxometry using ZEBRA.
Integrated and efficient diffusion-relaxometry using ZEBRA.
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DOI：
10.1038/s41598-018-33463-2
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发表时间：
2018-10-11
影响因子：
4.6
通讯作者：
Hajnal JV
中科院分区：
文献类型：
--
作者：
Hutter J;Slator PJ;Christiaens D;Teixeira RPAG;Roberts T;Jackson L;Price AN;Malik S;Hajnal JV
结合扩散和弛豫测量的多参数扩散模型的出现为探索组织微观结构提供了强有力的新方法，并有可能为组织结构和功能提供新的见解。然而，他们提供丰富分析的能力和临床翻译的潜力关键取决于高效、集成、多维采集的可用性。我们提出了一个完全集成的序列，同时采样T1和T2* 弛豫和扩散MRI所需的采集参数空间。切片级交错扩散编码、多个自旋/梯度回波和切片重排相结合，可实现更高的效率、采样灵活性和增强的内部一致性。在健康成人大脑中成功获得了体内数据。获得的参数图以及聚类结果表明，该技术的潜力，提供雄辩的数据与传统方法相比，约20的加速度。拟议的综合收购，我们称之为ZEBRA，提供了显着的加速和灵活性相比，现有的扩散弛豫研究，从而促进更广泛地使用这些技术的研究驱动和临床应用。
The emergence of multiparametric diffusion models combining diffusion and relaxometry measurements provides powerful new ways to explore tissue microstructure, with the potential to provide new insights into tissue structure and function. However, their ability to provide rich analyses and the potential for clinical translation critically depends on the availability of efficient, integrated, multi-dimensional acquisitions. We propose a fully integrated sequence simultaneously sampling the acquisition parameter spaces required for T1 and T2* relaxometry and diffusion MRI. Slice-level interleaved diffusion encoding, multiple spin/gradient echoes and slice-shuffling are combined for higher efficiency, sampling flexibility and enhanced internal consistency. In-vivo data was successfully acquired on healthy adult brains. Obtained parametric maps as well as clustering results demonstrate the potential of the technique to provide eloquent data with an acceleration of roughly 20 compared to conventionally used approaches. The proposed integrated acquisition, which we call ZEBRA, offers significant acceleration and flexibility compared to existing diffusion-relaxometry studies, and thus facilitates wider use of these techniques both for research-driven and clinical applications.
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