Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges,
including much thinner myocardial walls, complex and irregular morphology, as
well as diversity in individual's structure, making off-the-shelf methods
designed for the Left Ventricle (LV) may not work in the context of the left
atrium. To overcome aforementioned challenges, we are the first to present
comprehensive technical workflow designed for 4D registration modeling to
automatically analyze LA motion using high-resolution 3D Cine MR images. We
integrate segmentation network and 4D registration process to precisely
delineate LA segmentation throughout the full cardiac cycle. Additionally, an
image 4D registration network is employed to extract LA displacement vector
fields (DVFs). Our findings show the potential of proposed end to end framework
in providing clinicians with novel regional biomarkers for left atrium motion
tracking and deformation, carrying significant clinical implications.

通过高分辨率 3D Cine MR 图像，我们提出了全面的技术工作流程，设计了 4D 注册建模以自动分析左心房的运动。利用分割网络和 4D 注册过程精确地描绘了整个心动周期中左心房的分割，并利用图像 4D 注册网络提取左心房位移矢量场。我们的研究结果表明了该端到端框架在提供临床医生用于左心房运动追踪和变形的新颖区域生物标志物方面的潜力，并具有重要的临床意义。