Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark.
J Magn Reson. 2018 Jun;291:127-140. doi: 10.1016/j.jmr.2018.03.001. Epub 2018 Apr 26.
As part of an issue celebrating 2 decades of Joseph Ackerman editing the Journal of Magnetic Resonance, this paper reviews recent progress in one of the many areas in which Ackerman and his lab has made significant contributions: NMR measurement of diffusion in biological media, specifically in brain tissue. NMR diffusion signals display exquisite sensitivity to tissue microstructure, and have the potential to offer quantitative and specific information on the cellular scale orders of magnitude below nominal image resolution when combined with biophysical modeling. Here, I offer a personal perspective on some recent advances in diffusion imaging, from diffusion kurtosis imaging to microstructural modeling, and the connection between the two. A new result on the estimation accuracy of axial and radial kurtosis with axially symmetric DKI is presented. I moreover touch upon recently suggested generalized diffusion sequences, promising to offer independent microstructural information. We discuss the need and some methods for validation, and end with an outlook on some promising future directions.
作为庆祝 Joseph Ackerman 编辑《磁共振杂志》 20 周年的一期特刊的一部分，本文回顾了 Ackerman 及其实验室在众多做出重要贡献的领域之一的最新进展：生物介质中扩散的 NMR 测量，特别是脑组织。NMR 扩散信号对组织微观结构具有极高的灵敏度，并且当与生物物理建模结合使用时，具有在名义图像分辨率以下的细胞尺度量级上提供定量和特定信息的潜力。在这里，我从扩散峰度成像到微观结构建模，以及两者之间的联系，提供了对扩散成像的一些最新进展的个人看法。提出了一种新的关于具有轴对称 DKI 的轴向和径向峰度估计精度的结果。此外，我还提到了最近提出的具有潜在提供独立微观结构信息的广义扩散序列。我们讨论了验证的必要性和一些方法，并以一些有前途的未来方向结束。
