Localized spatio-temporal constraints for accelerated CMR perfusion.

Localized spatio-temporal constraints for accelerated CMR perfusion.
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DOI:
10.1002/mrm.24963
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发表时间:
2014-09
影响因子:
3.3
通讯作者:
Nezafat, Reza
Nezafat, Reza
中科院分区:
医学3区
文献类型:
--
作者:
Akcakaya, Mehmet;Basha, Tamer A.;Pflugi, Silvio;Foppa, Murilo;Kissinger, Kraig V.;Hauser, Thomas H.;Nezafat, Reza

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开发和评估利用局部时空约束的心脏 MRI (CMR) 灌注图像重建技术。 CMR灌注在检测冠状动脉疾病患者的心肌缺血方面发挥着重要作用。基于屏气 k-t 的图像加速技术通常用于 CMR 灌注,以实现卓越的空间/时间分辨率和改善的覆盖范围。在这项研究中,我们提出了一种新颖的基于压缩感知的 CMR 灌注图像重建技术,适用于自由呼吸检查。该技术通过在少量动态范围内规范图像块来使用局部时空约束。该技术与传统的动态逐动态重建、使用时间主成分 (pc) 基础的稀疏正则化以及多切片 2D 和 3D CMR 灌注中的填零数据进行了比较。使用定性图像评分(1=差,4=优秀)来评估 10 名患者和 5 名健康受试者的 3D 灌注技术。在 4 名健康受试者身上,所提出的技术还与采用并行成像的屏气多切片 2D 采集在信号强度曲线方面进行了比较。与其他技术相比,所提出的技术产生的图像在空间和时间模糊方面都优于其他技术,即使在自由呼吸的数据集中也是如此。图像分数表明与 3D 灌注中的其他技术相比有显着改进(x-pc 正则化为 2.8±0.5 对比 2.3±0.5,动态逐动态为 1.7±0.5,zerofilled 为 1.1±0.2)。信号强度曲线表明所提出的 3D 采集方法和并行成像的屏气多切片 2D 采集方法之间的摄取动态相似。所提出的重建利用基于空间和时间域中的局部信息的稀疏正则化来实现高度加速的 CMR 灌注,在自由呼吸 3D 采集中具有潜在的实用性。
To develop and evaluate an image reconstruction technique for cardiac MRI (CMR)perfusion that utilizes localized spatio-temporal constraints. CMR perfusion plays an important role in detecting myocardial ischemia in patients with coronary artery disease. Breath-hold k-t based image acceleration techniques are typically used in CMR perfusion for superior spatial/temporal resolution, and improved coverage. In this study, we propose a novel compressed sensing based image reconstruction technique for CMR perfusion, with applicability to free-breathing examinations. This technique uses local spatio-temporal constraints by regularizing image patches across a small number of dynamics. The technique is compared to conventional dynamic-by-dynamic reconstruction, and sparsity regularization using a temporal principal-component (pc) basis, as well as zerofilled data in multi-slice 2D and 3D CMR perfusion. Qualitative image scores are used (1=poor, 4=excellent) to evaluate the technique in 3D perfusion in 10 patients and 5 healthy subjects. On 4 healthy subjects, the proposed technique was also compared to a breath-hold multi-slice 2D acquisition with parallel imaging in terms of signal intensity curves. The proposed technique results in images that are superior in terms of spatial and temporal blurring compared to the other techniques, even in free-breathing datasets. The image scores indicate a significant improvement compared to other techniques in 3D perfusion (2.8±0.5 vs. 2.3±0.5 for x-pc regularization, 1.7±0.5 for dynamic-by-dynamic, 1.1±0.2 for zerofilled). Signal intensity curves indicate similar dynamics of uptake between the proposed method with a 3D acquisition and the breath-hold multi-slice 2D acquisition with parallel imaging. The proposed reconstruction utilizes sparsity regularization based on localized information in both spatial and temporal domains for highly-accelerated CMR perfusion with potential utility in free-breathing 3D acquisitions.
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