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All-in-one approach for constrained all-voxel tri-exponential IVIM model identification: Application to Diffusion-Weighted MR Imaging in the Liver

机译:约束全体素三指数IVIM模型识别的多合一方法:在肝脏弥散加权MR成像中的应用

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Diffusion and perfusion evaluation is important for liver pathologies. Intravoxel incoherent motion (IVIM) diffusion weighted magnetic resonance imaging (DW-MRI) is a good method to quantify the apparent diffusion coefficient (ADC) and perfusion fraction (PF). However the existence of large blood vessels in the liver leads to a confounding effect on the conventional bi-exponential IVIM model. Actually, such confounding effect can be considered as a third contribution of the image signal. In this study, an all-in-one approach for blood vessels localization and tissue diffusion/perfusion estimation based on an all-voxel tri-exponential IVIM model in human liver is proposed. The proposed approach assumes sparse distribution of blood vessels in the considered region of interest. Besides, it deals with the non-negativity of the model parameters by resorting to a change of variables into square. Model parameters are estimated alternatively in an iterative way following the spirit of the ADMM algorithm. The good behavior of the proposed approach is assessed using both realistic and real diffusionweighted magnetic resonance imaging in the liver.
机译:扩散和灌注评估对于肝脏病理非常重要。体素不相干运动(IVIM)扩散加权磁共振成像(DW-MRI)是量化表观扩散系数(ADC)和灌注分数(PF)的好方法。但是,肝脏中大血管的存在会导致对常规双指数IVIM模型产生混淆的影响。实际上,这种混杂效应可以被认为是图像信号的第三贡献。在这项研究中,提出了一种基于全素三指数IVIM模型的人肝血管定位和组织扩散/灌注估计的多合一方法。所提出的方法假设在所考虑的感兴趣区域中血管的稀疏分布。此外,它通过将变量更改为平方来处理模型参数的非负性。遵循ADMM算法的精神,以迭代方式替代地估计模型参数。使用肝脏中的真实和真实扩散加权磁共振成像评估了所提出方法的良好行为。

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