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Updated: Jun 11, 2025

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适应性红外图案用于微观表面重建
Srdjan Milosavljevic1, Zoltan Bardosi2, Yusuf Oezbek2
1Department of Otorhinolaryngology, Medical University of Innsbruck, Innsbruck, Austria. srdjan.milosavljevic@student.i-med.ac.at.
International journal of computer assisted radiology and surgery
|October 9, 2024
概括
在显微手术中,准确的3D表面重建现在可以使用自适应近红外 (NIR) 图案投影. 这种新的方法提高了在ENT手术中的手术内质量保证的准确性.
科学领域:
- 医疗成像医学成像
- 手术技术 手术技术
- 计算机视觉 计算机视觉
背景情况:
- 目前的3D重建方法因具有挑战性的照明和均的组织表面而与外科环境作斗争.
- 精确的表面重建对于手术规划,手术内指导和质量保证至关重要,特别是在复杂的手术中,如ENT手术.
研究的目的:
- 开发和验证一种适应性近红外 (NIR) 图案投影技术,用于增强的多变焦微观表面重建.
- 克服现有的方法在创建精确的手术场所的3D模型的局限性.
主要方法:
- 使用自适应的NIR图案投影仪来照亮手术场景,为密集的,多变焦立体镜面重建生成优化的图案.
- 这种新的方法在不扰乱临床工作流程的情况下被整合进来,并根据最先进的方法和CT数据进行了验证.
主要成果:
- 适应性NIR图案方法实现了0.50.7毫米的表面重建误差,明显优于其他方法 (11.9毫米).
- 在5个变焦级别进行了重建,并通过热图提供了错误可视化.
结论:
- 适应性NIR图案投影能够在各种变焦级别上进行密集和准确的微观表面重建,即使在小的,均的表面上也是如此.
- 这项技术有可能改善微观干预,例如侧面头骨底部手术,并将手术内数据与手术前成像集成在一起.
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