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无需张量对角化的方向无关扩散成像:基于扩散椭球体物理属性的各向异性定义

Orientation-independent diffusion imaging without tensor diagonalization: anisotropy definitions based on physical attributes of the diffusion ellipsoid.

作者信息

Uluğ A M, van Zijl P C

机构信息

Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205-2195, USA.

出版信息

J Magn Reson Imaging. 1999 Jun;9(6):804-13. doi: 10.1002/(sici)1522-2586(199906)9:6<804::aid-jmri7>3.0.co;2-b.

Abstract

Diffusion tensor imaging can provide a complete description of the diffusion process in tissue. However, this description is not unique but is orientation dependent, and, to quantify properly the intrinsic orientation-independent diffusion properties of the tissue, a set of three rotationally invariant quantities is needed. Instead of using the tensor eigenvalues for this, we define a new set consisting of scaled invariants that have the proper magnitude of actual diffusion constants and that are directly related to the physical attributes of the diffusion ellipsoid, namely, its average radius, surface, and volume. Using these three physical invariants, a new family of anisotropy measures is defined that are normalized between zero (isotropic) and one (completely anisotropic). Because rotational invariants are used, this approach does not require tensor diagonalization and eigenvalue determination and is therefore not susceptible to potential artifacts induced during these number manipulations. The relationship between the new anisotropy definitions and existing orientation-independent anisotropy indices obtained from eigenvalues is discussed, after which the new approach is evaluated for a group of healthy volunteers.

摘要

扩散张量成像能够完整描述组织中的扩散过程。然而,这种描述并非唯一的,而是依赖于方向,并且,为了恰当地量化组织内在的与方向无关的扩散特性,需要一组三个旋转不变量。我们并非为此使用张量特征值,而是定义了一组由缩放不变量组成的新集合,这些缩放不变量具有实际扩散常数的恰当大小,并且直接与扩散椭球体的物理属性相关,即其平均半径、表面积和体积。利用这三个物理不变量,定义了一族新的各向异性度量,它们在零(各向同性)和一(完全各向异性)之间进行归一化。由于使用了旋转不变量,这种方法不需要张量对角化和特征值确定,因此不易受到这些数值操作过程中潜在伪影的影响。讨论了新的各向异性定义与从特征值获得的现有与方向无关的各向异性指数之间的关系,之后对一组健康志愿者评估了这种新方法。

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