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English(EN) PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

PINNOCHIO框架利用物理信息神经网络增强手术模拟

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了PINNOCHIO，一个使用物理信息神经网络（PINNs）来模拟正颌手术规划的面部软组织变形的新框架。该方法通过将界面运动与体积变形解耦，解决了现有方法中存在的精度-效率权衡问题，能够在无需完整体积真实数据的情况下实现稳定的训练和生物力学一致性。在40名患者的队列中进行测试，PINNOCHIO与当前基线相比，在准确性和物理有效性方面均表现出色，并且比传统的有限元方法速度更快。 AI

影响 通过提供一个更快、更可靠的复杂软组织变形模拟工具，提高了手术规划的准确性和效率。

排序理由 详细介绍新模拟方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

PINNOCHIO框架利用物理信息神经网络增强手术模拟

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jungwook Lee, Daeseung Kim, Kevin Gu, Zhangfeng Hu, Tianshu Kuang, Finn Hopeman, Michael A. K. Liebschner, Jaime Gateno, Pingkun Yan ·

    PINNOCHIO：用于正颌手术耦合超弹性界面-体积仿真的物理信息神经网络

    arXiv:2606.01572v1 Announce Type: cross Abstract: Predicting patient-specific facial soft-tissue deformation is critical for iterative orthognathic surgery planning. However, current computational methods face a strict accuracy-efficiency trade-off: high-fidelity Finite Element M…

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