English(EN) DefSynUS: Real-time Patient-specific Intrahepatic Vessel Identification via Deformation-Aware CT-US Domain Adaptation

DefSynUS框架实现肝内血管的实时识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-29 04:00

研究人员开发了一个名为DefSynUS的新框架，该框架可在肝脏手术中实现实时、患者特异性的肝内血管识别。该系统利用术前CT扫描生成合成超声数据，然后将其适配到术中超声条件。其关键特性是变形感知增强，模拟真实的组织运动和变形，即使在患者移动时也能保持识别精度。 AI

影响该框架通过在复杂肝脏手术中提供实时血管识别，有望提高手术精度和安全性。

排序理由这是一篇详细介绍医学影像新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Karl-Philippe Beaudet (MIMESIS, UNISTRA), Yordanka Velikova (TUM), Sidaty El Hadramy (MIMESIS, Unibas), Nassir Navab (TUM), Philippe Cattin (Unibas), Juan Verde (MIMESIS, UNISTRA, IHU Strasbourg), St\'ephane Cotin (MIMESIS, UNISTRA) · 2026-05-29 04:00

DefSynUS: Real-time Patient-specific Intrahepatic Vessel Identification via Deformation-Aware CT-US Domain Adaptation

arXiv:2605.29570v1 Announce Type: new Abstract: Purpose: Laparoscopic ultrasound (LUS) enhances the safety of liver surgery by visualizing intrahepatic vessels in real-time. Still, vessel identification remains difficult due to probe constraints, complex vascular structure, and t…