在最小侵入性手术中,用单眼内镜对可变形软组织进行非刚性场景重建
Enpeng Wang1, Yueang Liu1, Jiangchang Xu1
1School of Mechanical Engineering, Shanghai Jiao Tong University, No. 800, Road Dongchuan, Shanghai, 200240, China.
这项研究引入了可变形的手术场景的新型3D重建算法,提高了微创手术 (MIS) 的精度. 该方法提高了软组织重建的精度,为外科医生提供了关键数据.
科学领域:
- 医疗成像医学成像
- 计算机视觉 计算机视觉
- 手术技术 手术技术
背景情况:
- 最少侵入性手术 (MIS) 从图像引导系统中获益,以提高精度和安全性.
- 在手术场景中,非刚性3D重建会带来诸如统一的纹理,烟雾和遮等挑战.
研究的目的:
- 开发和评估一种用于准确3D重建非刚性手术场景的新算法.
- 解决处理可变形软组织和动态环境的现有方法的局限性.
主要方法:
- 一个采用嵌入式变形图 (EDG) 和双四次元的两组合算法,用于初始的软组织3D重建,无需先前知识.
- 集成EDG与异比非刚性结构从运动 (Iso-NRSFM) 集中优化地图点和摄像机运动.
主要成果:
- 与DefSLAM方法相比,在合成和公共数据集中,拟议的方法证明了平均重建误差最大减少1.6毫米.
- 定性实验证实了视频数据集与手术仪器闭塞的稳定性.
结论:
- 开发的方法优于现有的最先进的技术,可以在动态的手术场景中重建软组织.
- 这一进步对MIS的临床应用具有重大潜力,为外科医生提供关键的形状和深度信息.
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