Shemesh Noam, Jespersen Sune N, Alexander Daniel C, Cohen Yoram, Drobnjak Ivana, Dyrby Tim B, Finsterbusch Jurgen, Koch Martin A, Kuder Tristan, Laun Fredrik, Lawrenz Marco, Lundell Henrik, Mitra Partha P, Nilsson Markus, Özarslan Evren, Topgaard Daniel, Westin Carl-Fredrik
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.
CFIN/MindLab, Aarhus University, Aarhus, Denmark.
Magn Reson Med. 2016 Jan;75(1):82-7. doi: 10.1002/mrm.25901. Epub 2015 Sep 29.
Stejskal and Tanner's ingenious pulsed field gradient design from 1965 has made diffusion NMR and MRI the mainstay of most studies seeking to resolve microstructural information in porous systems in general and biological systems in particular. Methods extending beyond Stejskal and Tanner's design, such as double diffusion encoding (DDE) NMR and MRI, may provide novel quantifiable metrics that are less easily inferred from conventional diffusion acquisitions. Despite the growing interest on the topic, the terminology for the pulse sequences, their parameters, and the metrics that can be derived from them remains inconsistent and disparate among groups active in DDE. Here, we present a consensus of those groups on terminology for DDE sequences and associated concepts. Furthermore, the regimes in which DDE metrics appear to provide microstructural information that cannot be achieved using more conventional counterparts (in a model-free fashion) are elucidated. We highlight in particular DDE's potential for determining microscopic diffusion anisotropy and microscopic fractional anisotropy, which offer metrics of microscopic features independent of orientation dispersion and thus provide information complementary to the standard, macroscopic, fractional anisotropy conventionally obtained by diffusion MR. Finally, we discuss future vistas and perspectives for DDE.
1965年,斯特耶斯卡尔(Stejskal)和坦纳(Tanner)提出的巧妙的脉冲场梯度设计,使扩散核磁共振(NMR)和磁共振成像(MRI)成为大多数旨在解析多孔系统(尤其是生物系统)微观结构信息的研究的支柱。超越斯特耶斯卡尔和坦纳设计的方法,如双扩散编码(DDE)NMR和MRI,可能会提供一些新颖的可量化指标,这些指标很难从传统扩散采集数据中推断出来。尽管对该主题的兴趣与日俱增,但在活跃于DDE领域的研究团队中,脉冲序列及其参数的术语,以及可从这些序列中推导出来的指标,仍然不一致且各不相同。在此,我们展示了这些团队在DDE序列术语及相关概念上的共识。此外,还阐明了在哪些情况下,DDE指标似乎能够提供无法用更传统的方法(以无模型方式)获得的微观结构信息。我们特别强调了DDE在确定微观扩散各向异性和微观分数各向异性方面的潜力,这些指标提供了与取向分散无关的微观特征度量,从而提供了与传统扩散磁共振成像常规获得的标准宏观分数各向异性互补的信息。最后,我们讨论了DDE的未来前景和展望。