Accelerated whole-heart coronary MRA using motion-corrected sensitivity encoding with three-dimensional projection reconstruction.
Accelerated whole-heart coronary MRA using motion-corrected sensitivity encoding with three-dimensional projection reconstruction.
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DOI：
10.1002/mrm.25097
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发表时间：
2015-01
影响因子：
3.3
通讯作者：
Li, Debiao
中科院分区：
文献类型：
--
作者：
Pang, Jianing;Sharif, Behzad;Arsanjani, Reza;Bi, Xiaoming;Fan, Zhaoyang;Yang, Qi;Li, Kuncheng;Berman, Daniel S.;Li, Debiao
实现（1.0 mm）3空间分辨率、5 min自由呼吸扫描时间的全心冠状动脉磁共振血管造影（MRA）。我们使用心电图门控，t2制备和脂肪饱和平衡的稳态自由进动序列与3DPR轨迹进行自由呼吸数据采集，具有100%的门控效率。对于图像重建，我们使用了自校准迭代SENSE方案，并集成了回顾性运动校正。我们进行了一项健康志愿者研究，在不同的回顾性欠采样水平下，比较了所提出的方法与运动校正网格法在表观信噪比（aSNR）和主观冠状动脉（CA）可视化评分上的差异。与网格划分相比，该方法显著提高了6000、8000和10000个投影的欠采样数据集的图像质量指标。仅使用10,000个投影，该方法就获得了良好的CA可视化分数（3.02 / 4），aSNR值与20,000个投影的aSNR值相当。使用该方法，在（1.0 mm）3分辨率下，观察到自由呼吸全心冠状动脉MRA的图像质量良好，扫描时间为5分钟。
To achieve whole-heart coronary magnetic resonance angiography (MRA) with (1.0 mm)3 spatial resolution and 5 min of free-breathing scan time. We used an electrocardiograph-gated, T2-prepared and fat-saturated balanced steady state free precession sequence with 3DPR trajectory for free-breathing data acquisition with 100% gating efficiency. For image reconstruction, we used a self-calibrating iterative SENSE scheme with integrated retrospective motion correction. We performed healthy volunteer study to compare the proposed method with motion-corrected gridding at different retrospective undersampling levels on apparent signal-to-noise ratio (aSNR) and subjective coronary artery (CA) visualization scores. Compared with gridding, the proposed method significantly improved both image quality metrics for undersampled datasets with 6000, 8000, and 10,000 projections. With as few as 10,000 projections, the proposed method yielded good CA visualization scores (3.02 of 4) and aSNR values comparable to those with 20,000 projections. Using the proposed method, good image quality was observed for free breathing whole-heart coronary MRA at (1.0 mm)3 resolution with an achievable scan time of 5 min.
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