Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model.
Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model.
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DOI：
10.1109/tmi.2016.2620961
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发表时间：
2017-02
影响因子：
10.6
通讯作者：
Samsonov AA
中科院分区：
文献类型：
--
作者：
Liu F;Velikina JV;Block WF;Kijowski R;Samsonov AA
我们推出 MRiLab，这是一种新型综合模拟器，可在配备现代图形处理单元 (GPU) 的普通 PC 上进行大规模真实 MRI 模拟。 MRiLab 将真实的组织建模与 MRI 系统的数值虚拟化和扫描实验相结合，能够评估各种 MRI 方法，包括在亚体素水平上推断微观结构的先进定量 MRI 方法。在 MRiLab 中，通过采用具有多个交换水和大分子质子池的广义组织模型，而不是以前模拟器中通常使用的独立质子等色系统，可以灵活地表示组织微观结构。使用 GPU 上的并行执行获得模拟大型 3D 对象中的生物相关组织模型所需的计算能力。进行了三项模拟和一项实际 MRI 实验，以证明新模拟器能够适应各种体素组成场景，并证明对先前模拟器中采用的组织微组织进行简化治疗的有害影响。 GPU 执行使计算速度比标准 CPU 提高约 200 倍。作为一个用于定制虚拟 MRI 实验的跨平台、开源、可扩展环境，MRiLab 简化了新 MRI 方法的开发，特别是那些旨在定量推断组织成分和微观结构的方法。
We present MRiLab, a new comprehensive simulator for large-scale realistic MRI simulations on a regular PC equipped with a modern graphical processing unit (GPU). MRiLab combines realistic tissue modeling with numerical virtualization of an MRI system and scanning experiment to enable assessment of a broad range of MRI approaches including advanced quantitative MRI methods inferring microstructure on a sub-voxel level. A flexibl representation of tissue microstructure is achieved in MRiLab by employing the generalized tissue model with multiple exchanging water and macromolecular proton pools rather than a system of independent proton isochromats typically used in previous simulators. The computational power needed for simulation of the biologically relevant tissue models in large 3D objects is gained using parallelized execution on GPU. Three simulated and one actual MRI experiments were performed to demonstrate the ability of the new simulator to accommodate a wide variety of voxel composition scenarios and demonstrate detrimental effects of simplifie treatment of tissue micro-organization adapted in previous simulators. GPU execution allowed ∼200× improvement in computational speed over standard CPU. As a cross-platform, open-source, extensible environment for customizing virtual MRI experiments, MRiLab streamlines the development of new MRI methods, especially those aiming to infer quantitatively tissue composition and microstructure.