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首页> 外文期刊>Physics in medicine and biology. >Space-time relationship in continuously moving table method for large FOV peripheral contrast-enhanced magnetic resonance angiography
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Space-time relationship in continuously moving table method for large FOV peripheral contrast-enhanced magnetic resonance angiography

机译:大视场周边对比增强磁共振血管成像连续移动台方法的时空关系

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摘要

Data acquisition using a continuously moving table approach is a method capable of generating large field-of-view (FOV) 3D MR angiograms. However, in order to obtain venous contamination-free contrast-enhanced (CE) MR angiograms in the lower limbs, one of the major challenges is to acquire all necessary k-space data during the restricted arterial phase of the contrast agent. Preliminary investigation on the space-time relationship of continuously acquired peripheral angiography is performed in this work. Deterministic and stochastic undersampled hybrid-space (x, k_y, k_z) acquisitions are simulated for large FOV peripheral runoff studies. Initial results show the possibility of acquiring isotropic large FOV images of the entire peripheral vascular system. An optimal trade-off between the spatial and temporal sampling properties was found that produced a high-spatial resolution peripheral CE-MR angiogram. The deterministic sampling pattern was capable of reconstructing the global structure of the peripheral arterial tree and showed slightly better global quantitative results than stochastic patterns. Optimal stochastic sampling patterns, on the other hand, enhanced small vessels and had more favourable local quantitative results. These simulations demonstrate the complex spatial-temporal relationship when sampling large FOV peripheral runoff studies. They also suggest that more investigation is required to maximize image quality as a function of hybrid-space coverage, acquisition repetition time and sampling pattern parameters.
机译:使用连续移动表方法的数据采集是一种能够生成大视野(FOV)3D MR血管造影照片的方法。但是,为了获得下肢的无静脉污染的造影剂(CE)MR血管造影照片,主要挑战之一是在造影剂的受限动脉期中获取所有必要的k空间数据。在这项工作中,对连续获取的外周血管造影的时空关系进行了初步研究。确定性和随机性欠采样混合空间(x,k_y,k_z)采集是为大型FOV外围径流研究而模拟的。初步结果表明,有可能获取整个外周血管系统的各向同性大FOV图像。发现了在空间和时间采样特性之间的最佳折衷,产生了高空间分辨率的外围CE-MR血管造影照片。确定性采样模式能够重构外围动脉树的整体结构,并且显示出比随机模式更好的整体定量结果。另一方面,最佳的随机抽样模式增强了小型容器的体积,并具有更有利的局部定量结果。这些模拟表明,在对大型FOV周边径流研究进行采样时,存在复杂的时空关系。他们还建议根据混合空间覆盖率,采集重复时间和采样模式参数来进行更多研究,以使图像质量最大化。

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