发表机构
National University of Singapore; Southeast University; Nanjing University of Aeronautics and Astronautics（新加坡国立大学; 东南大学; 南京航空航天大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究针对从单一舒张末期网格合成全周期双心室运动的挑战，提出表型自适应的区域功能分区与条件隐式流框架，在多数据集上实现精度与保真度提升，性能优于对比方法。
AI 中文摘要
全周期双心室几何结构是表征心脏功能的关键，但常规无法获取密集且时间一致的3D+t双心室网格，而舒张末期（ED）解剖结构通常可可靠获取。因此，本研究从单一ED网格出发，探究全周期双心室运动合成任务，该任务极具挑战性，因为心脏变形具有空间异质性且依赖表型，而传统全局生成模型常掩盖局部运动模式。本研究提出一种区域特异性且表型自适应的框架，整合运动感知功能分区与条件隐式流：从重建运动中学习的功能分区将心室表面组织为具有一致动力学的区域，实现拓扑感知的区域特征交换；表型条件整流流模型随后通过细粒度条件和原型路由运动适配器，将ED解剖结构映射至全周期运动隐变量；可选控制分支进一步整合可用运动描述符以实现可控合成。在ACDC、M&Ms和M&Ms-2数据集上的实验表明，本方法在几何精度和功能保真度上取得一致提升；在仅ED合成任务中，本方法实现双心室平均表面距离（ASSD）为1.49±0.34mm、95%豪斯多夫距离（HD95）为3.77±1.06mm、体积均方根误差（vRMSE）为3.31±1.03mm，优于所有对比方法；补充功能和鲁棒性评估进一步表明，合成序列保留生理上合理的心室动力学，并可跨队列和疾病表型泛化；代码将在稿件发表后公开。
英文摘要
Full-cycle biventricular geometry is essential for characterizing cardiac function. However, dense and temporally consistent 3D+t biventricular meshes are not routinely available, whereas end-diastolic (ED) anatomy can often be obtained reliably. We therefore investigate full-cycle biventricular motion synthesis from a single ED mesh. This task is challenging because cardiac deformation is spatially heterogeneous and phenotype dependent, while conventional global generative models often obscure localized motion patterns. In this study, we propose a region-specific and phenotype-adaptive framework that integrates motion-informed functional parcellation with conditional latent flow. A functional partition learned from reconstructed motion organizes the ventricular surface into regions with coherent dynamics and enables topology-aware regional feature exchange. A phenotype-conditioned rectified-flow model subsequently maps the ED anatomy to full-cycle motion latents through fine-grained conditioning and prototype-routed motion adapters. An optional control branch further incorporates available motion descriptors for controllable synthesis. Experiments on ACDC, M\&Ms, and M\&Ms-2 demonstrate consistent improvements in geometric accuracy and functional fidelity. Under ED-only synthesis, our method achieves biventricular ASSD, HD95, and vRMSE of \(1.49\pm0.34\)~mm, \(3.77\pm1.06\)~mm, and \(3.31\pm1.03\)~mm, respectively, outperforming all competing methods. Complementary functional and robustness evaluations further demonstrate that the synthesized sequences preserve physiologically plausible ventricular dynamics and generalize across cohorts and disease phenotypes. The code will be released publicly upon acceptance of the manuscript for publication.
Comments14pages, 10 figures
