[2605.13994] CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI
[Submitted on 13 May 2026]
Title:CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI
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Abstract:Accurate 3D+t whole-heart mesh reconstruction from cine MRI is a clinically crucial yet technically challenging task. The difficulty of this task arises from two coupled factors: inherently sparse sampling of 3D cardiac anatomy by 2D image slices and the tight coupling between cardiac shape and motion. Current cardiac image-to-mesh approaches typically reconstruct only a subset of cardiac chambers or a single phase of the cardiac cycle. In this work, we propose CineMesh4D, a novel end-to-end 4D (3D+t) pipeline that directly reconstructs patient-specific whole-heart mesh from multi-view 2D cine MRI via cross-domain mapping. Specifically, we introduce a differentiable rendering loss that enables supervision of 3D+t whole-heart mesh from multi-view sparse contours of cine MRI. Furthermore, we develop a dual-context temporal block that fuses global and local cardiac temporal information to capture high-dimensional sequential patterns. In quantitative and qualitative evaluations, CineMesh4D outperforms existing approaches in terms of reconstruction quality and motion consistency, providing a practical pathway for personalized real-time cardiac assessment. The code will be publicly released once the manuscript is accepted.
Subjects:
Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:2605.13994 [cs.CV]
(or arXiv:2605.13994v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2605.13994
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Xiaoyue Liu [view email] [v1] Wed, 13 May 2026 18:05:08 UTC (1,410 KB)
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