论文标题
3-D连续心脏磁共振成像的2-D呼吸导航框架
2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging
论文作者
论文摘要
心脏磁共振成像的连续方案使心脏解剖结构可以同时解析为心脏阶段。为了避免呼吸伪像，必须在重建过程中补偿扫描过程中相关的运动。在本文中，我们提出了一种抽样适应性，以在连续扫描过程中获取2D呼吸信息。此外，我们开发了一条管道来从获得的信号中提取不同的呼吸状态，该信号用于从一个呼吸阶段重建数据。我们的结果表明，与没有呼吸补偿以及以前的1D呼吸导航方法相比，提议的工作流程对图像质量的好处。
Continuous protocols for cardiac magnetic resonance imaging enable sampling of the cardiac anatomy simultaneously resolved into cardiac phases. To avoid respiration artifacts, associated motion during the scan has to be compensated for during reconstruction. In this paper, we propose a sampling adaption to acquire 2-D respiration information during a continuous scan. Further, we develop a pipeline to extract the different respiration states from the acquired signals, which are used to reconstruct data from one respiration phase. Our results show the benefit of the proposed workflow on the image quality compared to no respiration compensation, as well as a previous 1-D respiration navigation approach.
