用少量2D MRI片重建主动脉动态3D形状，精度高且实用。
Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
- 结合统计形状模型与可微网格优化，从少片2D MRI重建3D主动脉
- 仅需6片即达90%以上重合度，误差小于1毫米，媲美4D流速成像
- 适合心血管研究者，尤其关注主动脉力学与年龄相关变化者
目的：评估从有限数量的标准心动周期2D磁共振成像（MRI）中重建时间分辨、三维、个体化主动脉解剖结构的可行性和准确性。方法：手动分割2D cine MRI切片，利用可微分网格优化算法并受统计形状模型约束，重建个体化主动脉几何结构。首先在合成数据上评估最优切片位置，随后在30名受试者（19名志愿者和11名主动脉瓣狭窄患者）中进行体内采集。重建得到时间分辨的主动脉几何结构，并提取几何描述符和径向应变。在10名受试者的子集中，获取4D流速MRI作为峰值收缩期形状的体积参考。结果：最少仅需6个cine 2D MRI切片即可实现准确重建。与4D流速MRI参考数据相比，Dice分数为(89.9 ± 1.6)%，交并比为(81.7 ± 2.7)%，豪斯多夫距离为(7.3 ± 3.3) mm， Chamfer距离为(3.7 ± 0.6) mm，主动脉弓上平均绝对半径误差为(0.8 ± 0.6) mm。二次分析显示不同年龄组间几何特征与径向应变存在显著差异，应变随年龄递减，年轻组为(11.00 ± 3.11)×10⁻²，中年组为(3.74 ± 1.25)×10⁻²，老年组为(2.89 ± 0.87)×10⁻²。结论：所提框架可从少量标准2D cine MRI中重建时间分辨的个体化主动脉几何结构，为后续计算分析提供实用基础。
原文摘要 · Abstract (English)
Background and Objective: To assess the feasibility and accuracy of reconstructing time-resolved, three-dimensional, subject-specific aortic geometries from a limited number of standard cine 2D magnetic resonance imaging (MRI) acquisitions. This is achieved by coupling a statistical shape model with a differentiable volumetric mesh optimization algorithm. Methods: Cine 2D MRI slices were manually segmented and used to reconstruct subject-specific aortic geometries via a differentiable mesh optimization algorithm, constrained by a statistical shape model. Optimal slice positioning was first evaluated on synthetic data, followed by in-vivo acquisition in 30 subjects (19 volunteers and 11 aortic stenosis patients). Time-resolved aortic geometries were reconstructed, from which geometric descriptors and radial strain were derived. In a subset of 10 subjects, 4D flow MRI data was acquired to provide volumetric reference for peak-systolic shape comparison. Results: Accurate reconstruction was achieved using as few as six cine 2D MRI slices. Agreement with 4D flow MRI reference data yielded a Dice score of (89.9 +/- 1.6) %, Intersection over Union of (81.7 +/- 2.7) %, Hausdorff distance of (7.3 +/- 3.3) mm, and Chamfer distance of (3.7 +/- 0.6) mm. The mean absolute radius error along the aortic arch was (0.8 +/- 0.6) mm. Secondary analysis demonstrated significant differences in geometric features and radial strain across age groups, with strain decreasing progressively with age at values of (11.00 +/- 3.11) x 10-2 vs. (3.74 +/- 1.25) x 10-2 vs. (2.89 +/- 0.87) x 10-2 for the young, mid-age, and elderly groups, respectively. Conclusion: The proposed framework enables reconstruction of time-resolved, subject-specific aortic geometries from a limited number of standard cine 2D MRI acquisitions, providing a practical basis for downstream computational analysis.
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