研究开发新型的鼻整形手术问题,整形术的重点是软组织变形预测的准确度.为术后容貌变化准确,提出一种新的体网格拉普拉斯坐标的变形方法,采用体网格的变形比面网格能更好的保持模型的体积特征.同时,通过使用直接从CT数据映射得到的非均匀材质参数,使得新的体网格变形方法非常适合仿真软组织的变形,并设计了二维轮廓曲线驱动三维体网格变形组成的仿真系统.开发了新型的鼻整形手术仿真系统,采用简单的二维操作就能对三维鼻整形手术进行高精度仿真,预测结果和术后CT扫描数据模型的平均的误差小于0.5mm.证明鼻整形手术仿真系统方便实用,具有很大的临床应用前景.%To present an intuitive nose surgery simulation system and provide high quality prediction of postoperative appearance, the key component is a novel volumetric Laplacian deformation tool inspired by the state-of-the-art differential surface deformation techniques. Working on the volumetric domain and incorporating inhomogeneous material from CT data make the new approach suitable for soft tissue simulation. In particular, the system employs a special 2D sketch contour to drive 3D deformation interface. A novel nose surgery simulation system was built, which can provide realistic 3D nose surgery simulation with intuitive and straightforward 2D manipulation. Clinical validation u-sing post-operative CT data demonstrates that the system can provide prediction results of high quality with average error of 0.5mm. The new simulation system is convenient and attractive, and has potential for daily clinical practice.
展开▼