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PLoS One. 2013 Nov 11;8(11):e78798. doi: 10.1371/journal.pone.0078798. eCollection 2013.
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本文引用的文献

1
Construction and validation of anisotropic and orthotropic ventricular geometries for quantitative predictive cardiac electrophysiology.构建和验证各向异性和各向同性心室几何模型用于定量预测心脏电生理学。
Interface Focus. 2011 Feb 6;1(1):101-16. doi: 10.1098/rsfs.2010.0005. Epub 2010 Dec 3.
2
Diffusion MRI at 25: exploring brain tissue structure and function.弥散磁共振成像 25 年:探索脑组织结构与功能。
Neuroimage. 2012 Jun;61(2):324-41. doi: 10.1016/j.neuroimage.2011.11.006. Epub 2011 Nov 20.
3
Human soleus muscle architecture at different ankle joint angles from magnetic resonance diffusion tensor imaging.基于磁共振弥散张量成像的不同踝关节角度下人比目鱼肌的肌构筑。
J Appl Physiol (1985). 2011 Mar;110(3):807-19. doi: 10.1152/japplphysiol.00923.2010. Epub 2010 Dec 16.
4
The effect of metric selection on the analysis of diffusion tensor MRI data.度量选择对弥散张量 MRI 数据分析的影响。
Neuroimage. 2010 Feb 1;49(3):2190-204. doi: 10.1016/j.neuroimage.2009.10.071. Epub 2009 Oct 30.
5
Structural adaptations in compressed articular cartilage measured by diffusion tensor imaging.通过扩散张量成像测量压缩关节软骨的结构适应性。
Osteoarthritis Cartilage. 2008 Jan;16(1):83-9. doi: 10.1016/j.joca.2007.05.013. Epub 2007 Jul 12.
6
Log-Euclidean metrics for fast and simple calculus on diffusion tensors.用于扩散张量快速简单计算的对数欧几里得度量
Magn Reson Med. 2006 Aug;56(2):411-21. doi: 10.1002/mrm.20965.
7
Diffusion tensor imaging of articular cartilage as a measure of tissue microstructure.关节软骨的扩散张量成像作为组织微观结构的一种测量方法。
Osteoarthritis Cartilage. 2006 Sep;14(9):875-81. doi: 10.1016/j.joca.2006.03.002. Epub 2006 Apr 24.
8
Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images.正交张量不变量与扩散张量磁共振图像分析
Magn Reson Med. 2006 Jan;55(1):136-46. doi: 10.1002/mrm.20741.
9
High-resolution diffusion tensor imaging of human patellar cartilage: feasibility and preliminary findings.人类髌软骨的高分辨率扩散张量成像:可行性及初步研究结果
Magn Reson Med. 2005 May;53(5):993-8. doi: 10.1002/mrm.20469.
10
A rigorous framework for diffusion tensor calculus.扩散张量演算的严格框架。
Magn Reson Med. 2005 Jan;53(1):221-5. doi: 10.1002/mrm.20334.

扩散张量的正交不变集以及适用于低各向异性组织的曲线集的发展。

Orthogonal invariant sets of the diffusion tensor and the development of a curvilinear set suitable for low-anisotropy tissues.

作者信息

Damion Robin A, Radjenovic Aleksandra, Ingham Eileen, Jin Zhongmin, Ries Michael E

机构信息

School of Physics and Astronomy, University of Leeds, Leeds, West Yorkshire, United Kingdom ; Institute of Medical and Biological Engineering, School of Mechanical Engineering, University of Leeds, Leeds, West Yorkshire, United Kingdom.

出版信息

PLoS One. 2013 Nov 11;8(11):e78798. doi: 10.1371/journal.pone.0078798. eCollection 2013.

DOI:10.1371/journal.pone.0078798
PMID:24244366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3823940/
Abstract

We develop a curvilinear invariant set of the diffusion tensor which may be applied to Diffusion Tensor Imaging measurements on tissues and porous media. This new set is an alternative to the more common invariants such as fractional anisotropy and the diffusion mode. The alternative invariant set possesses a different structure to the other known invariant sets; the second and third members of the curvilinear set measure the degree of orthotropy and oblateness/prolateness, respectively. The proposed advantage of these invariants is that they may work well in situations of low diffusion anisotropy and isotropy, as is often observed in tissues such as cartilage. We also explore the other orthogonal invariant sets in terms of their geometry in relation to eigenvalue space; a cylindrical set, a spherical set (including fractional anisotropy and the mode), and a log-Euclidean set. These three sets have a common structure. The first invariant measures the magnitude of the diffusion, the second and third invariants capture aspects of the anisotropy; the magnitude of the anisotropy and the shape of the diffusion ellipsoid (the manner in which the anisotropy is realised). We also show a simple method to prove the orthogonality of the invariants within a set.

摘要

我们开发了一种扩散张量的曲线不变集,可应用于对组织和多孔介质的扩散张量成像测量。这个新的不变集是分数各向异性和扩散模式等更常见不变量的替代方案。该替代不变集具有与其他已知不变集不同的结构;曲线集的第二个和第三个成员分别测量正交性程度和扁率/长率。这些不变量的一个优点是,正如在软骨等组织中经常观察到的那样,它们在低扩散各向异性和各向同性的情况下可能表现良好。我们还根据它们与特征值空间相关的几何结构探索了其他正交不变集;一个柱形集、一个球形集(包括分数各向异性和模式)和一个对数欧几里得集。这三个集具有共同的结构。第一个不变量测量扩散的大小,第二个和第三个不变量捕捉各向异性的方面;各向异性的大小和扩散椭球体的形状(各向异性实现的方式)。我们还展示了一种简单的方法来证明一个集合内不变量的正交性。