无需对比剂，仅用常规心脏磁共振影像重建高精度心肌梗死三维形态。
Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
- 基于动态心脏网格建模，从多视角电影MRI自动重建4D心室结构。
- 利用心脏运动模式定位梗死区域，与人工标注结果高度一致。
- 适合临床转化，为心梗患者数字孪生提供无创几何建模新路径。
准确的心肌梗死几何表征对心梗患者的个性化心脏建模至关重要。尽管延迟钆增强（LGE）MRI是临床金标准，但需使用对比剂，带来副作用和患者不适；且通常依赖稀疏的2D切片，限制空间分辨率与准确性。本文提出一种新框架，可从临床标准的2D电影MRI中自动重建高保真3D心肌梗死几何，无需对比剂。首先，通过自动深度形状拟合模型biv-me，从多视角电影MRI重建4D双心室网格；随后设计了CMotion2Infarct-Net模型，显式利用该动态几何中的运动模式来定位梗死区域。在126名心梗患者共205例电影MRI上评估，结果与人工标注具有合理一致性。本研究验证了无对比剂、基于心脏运动驱动的3D梗死重建可行性，为高效心梗数字孪生铺平道路。
原文摘要 · Abstract (English)
Accurate representation of myocardial infarct geometry is crucial for patient-specific cardiac modeling in MI patients. While Late gadolinium enhancement (LGE) MRI is the clinical gold standard for infarct detection, it requires contrast agents, introducing side effects and patient discomfort. Moreover, infarct reconstruction from LGE often relies on sparsely sampled 2D slices, limiting spatial resolution and accuracy. In this work, we propose a novel framework for automatically reconstructing high-fidelity 3D myocardial infarct geometry from 2D clinically standard cine MRI, eliminating the need for contrast agents. Specifically, we first reconstruct the 4D biventricular mesh from multi-view cine MRIs via an automatic deep shape fitting model, biv-me. Then, we design a infarction reconstruction model, CMotion2Infarct-Net, to explicitly utilize the motion patterns within this dynamic geometry to localize infarct regions. Evaluated on 205 cine MRI scans from 126 MI patients, our method shows reasonable agreement with manual delineation. This study demonstrates the feasibility of contrast-free, cardiac motion-driven 3D infarct reconstruction, paving the way for efficient digital twin of MI.
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