High-resolution cardiovascular MRI by integrating parallel imaging with low-rank and sparse modeling.
High-resolution cardiovascular MRI by integrating parallel imaging with low-rank and sparse modeling.
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DOI：
10.1109/tbme.2013.2266096
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发表时间：
2013-11
期刊：
影响因子：
--
通讯作者：
Liang ZP
中科院分区：
文献类型：
--
作者：
Christodoulou AG;Zhang H;Zhao B;Hitchens TK;Ho C;Liang ZP
磁共振成像（MRI）长期以来一直被认为是心血管成像的有力工具，因为它具有独特的潜力，可以联合测量血流量，心壁运动和组织特性。然而，心脏MRI的许多临床应用受到成像速度低的限制。在本文中，我们提出了一种新的方法来加速心血管MRI通过集成并行成像，低秩建模，稀疏建模。该方法包括一个新的图像模型和专门的数据采集。特别新奇的是所提出的低秩模型组件，其特别适合于心血管信号的特定低秩结构。模拟和在体实验进行评估的方法，以及分析的低秩结构的数值心血管体模。在不使用ECG或呼吸门控且不屏气的情况下对人类和大鼠受试者进行心脏成像实验。该方法重建的二维人体心脏图像的帧速率为22 fps，空间分辨率为1.0 mm × 1.0 mm;重建的三维大鼠心脏图像的帧速率为67 fps，空间分辨率为0.65 mm × 0.65 mm × 0.31 mm。这些功能将增强心血管MRI的实用性。
Magnetic resonance imaging (MRI) has long been recognized as a powerful tool for cardiovascular imaging because of its unique potential to measure blood flow, cardiac wall motion, and tissue properties jointly. However, many clinical applications of cardiac MRI have been limited by low imaging speed. In this paper, we present a novel method to accelerate cardiovascular MRI through the integration of parallel imaging, low-rank modeling, and sparse modeling. This method consists of a novel image model and specialized data acquisition. Of particular novelty is the proposed low-rank model component, which is specially adapted to the particular low-rank structure of cardiovascular signals. Simulations and in vivo experiments were performed to evaluate the method, as well as an analysis of the low-rank structure of a numerical cardiovascular phantom. Cardiac imaging experiments were carried out on both human and rat subjects without the use of ECG or respiratory gating and without breath holds. The proposed method reconstructed 2-D human cardiac images up to 22 fps and 1.0 mm × 1.0 mm spatial resolution and 3-D rat cardiac images at 67 fps and 0.65 mm × 0.65 mm × 0.31 mm spatial resolution. These capabilities will enhance the practical utility of cardiovascular MRI.