Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging.
Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging.
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DOI：
10.1002/mrm.26840
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发表时间：
2018-04
影响因子：
3.3
通讯作者：
Frangi AF
中科院分区：
文献类型：
--
作者：
Mozumder M;Beltrachini L;Collier Q;Pozo JM;Frangi AF
扩散磁共振成像中的一个新兴课题是使用体素内非相干运动（IVIM）模型对血液微循环和水扩散进行成像。最近，提出了一种组合IVIM扩散张量成像（IVIM-DTI）模型，该模型考虑了由于血液微循环引起的各向异性伪扩散和由于组织微结构引起的各向异性扩散。在这篇文章中，我们提出了一个强大的IVIM-DTI方法，同时扩散和伪扩散张量成像。传统的IVIM估计方法可以大致分为两步（分别估计扩散和伪扩散）和一步（同时估计扩散和伪扩散）方法。在这里，两种方法都应用于IVIM-DTI模型。提出了一种基于阻尼高斯-牛顿算法和高斯先验模型参数的改进一步法。这些方法对不同参数初始化的灵敏度进行了测试，与现实的模拟和实验在体内的数据。与其他方法相比，具有高斯先验的一步阻尼高斯-牛顿方法对噪声和初始参数的选择不太敏感，并且提供了更准确的IVIM-DTI参数估计。使用阻尼高斯-牛顿和高斯先验的一步估计是使用IVIM‐DTI模型进行同时扩散和伪扩散张量成像的稳健方法。Magn Reson Med 79：2367-2378，2018。© 2017 The Authors Magnetic Resonance in Medicine出版由Wiley Periodicals，Inc.国际医学磁共振学会（International Society for Magnetic Resonance in Medicine）这是一个开放获取的条款下的知识共享署名许可证，允许使用，分发和复制在任何媒体上，只要原始作品是适当的引用。
An emerging topic in diffusion magnetic resonance is imaging blood microcirculation alongside water diffusion using the intravoxel incoherent motion (IVIM) model. Recently, a combined IVIM diffusion tensor imaging (IVIM‐DTI) model was proposed, which accounts for both anisotropic pseudo‐diffusion due to blood microcirculation and anisotropic diffusion due to tissue microstructures. In this article, we propose a robust IVIM‐DTI approach for simultaneous diffusion and pseudo‐diffusion tensor imaging. Conventional IVIM estimation methods can be broadly divided into two‐step (diffusion and pseudo‐diffusion estimated separately) and one‐step (diffusion and pseudo‐diffusion estimated simultaneously) methods. Here, both methods were applied on the IVIM‐DTI model. An improved one‐step method based on damped Gauss–Newton algorithm and a Gaussian prior for the model parameters was also introduced. The sensitivities of these methods to different parameter initializations were tested with realistic in silico simulations and experimental in vivo data. The one‐step damped Gauss–Newton method with a Gaussian prior was less sensitive to noise and the choice of initial parameters and delivered more accurate estimates of IVIM‐DTI parameters compared to the other methods. One‐step estimation using damped Gauss–Newton and a Gaussian prior is a robust method for simultaneous diffusion and pseudo‐diffusion tensor imaging using IVIM‐DTI model. Magn Reson Med 79:2367–2378, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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影响因子：
1.6
作者：
Che S;Zhao X;Ou Y;Li J;Wang M;Wu B;Zhou C
通讯作者：
Zhou C
DOI：
10.1117/12.878382
发表时间：
2011
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
--
作者：
Elshahaby FE;Landman BA;Prince JL
通讯作者：
Prince JL
影响因子：
3.3
作者：
Callot, V;Bennett, E;Wen, H
通讯作者：
Wen, H
影响因子：
19.7
作者：
Federau, Christian;Maeder, Philippe;Hagmann, Patric
通讯作者：
Hagmann, Patric
影响因子：
3.3
作者：
Barbieri, Sebastiano;Donati, Olivio F.;Thoeny, Harriet C.
通讯作者：
Thoeny, Harriet C.