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磁共振扩散和伪扩散张量成像的同步成像。

Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging.

机构信息

Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UK.

iMinds Vision Lab, Department of Physics, University of Antwerp (CDE), Antwerpen, Belgium.

出版信息

Magn Reson Med. 2018 Apr;79(4):2367-2378. doi: 10.1002/mrm.26840. Epub 2017 Jul 16.

Abstract

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

目的

在扩散磁共振中,一个新兴的研究领域是使用体素内不相干运动(IVIM)模型来对血液微循环和水扩散进行成像。最近,提出了一种联合 IVIM 扩散张量成像(IVIM-DTI)模型,该模型既考虑了由于血液微循环引起的各向异性假性扩散,也考虑了由于组织微结构引起的各向异性扩散。在本文中,我们提出了一种稳健的 IVIM-DTI 方法,用于同时进行扩散和假性扩散张量成像。

方法

传统的 IVIM 估计方法大致可以分为两步法(分别估计扩散和假性扩散)和一步法(同时估计扩散和假性扩散)。在这里,我们对 IVIM-DTI 模型应用了这两种方法。我们还介绍了一种基于阻尼高斯牛顿算法和模型参数的高斯先验的改进的一步法。通过真实的计算机模拟和体内实验数据,测试了这些方法对不同参数初始化的敏感性。

结果

与其他方法相比,基于阻尼高斯牛顿算法和高斯先验的一步法对噪声和参数初始化的选择不敏感,并且能够更准确地估计 IVIM-DTI 参数。

结论

使用阻尼高斯牛顿和高斯先验的一步估计是一种稳健的方法,用于使用 IVIM-DTI 模型进行同时的扩散和假性扩散张量成像。磁共振医学 79:2367-2378,2018。©2017 作者 磁共振医学由 Wiley 期刊出版公司代表国际磁共振医学学会出版。这是在知识共享署名许可条款下的许可,允许在任何媒介中使用、分发和复制,前提是原始作品正确引用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df9/5836966/79f536b2e8ee/MRM-79-2367-g001.jpg

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