j.issn.1005-202X.2023.07.008]
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基于颌面部CT图像的下颌骨自动分割与三维重建方法()

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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Title:: Automatic segmentation and three-dimensional reconstruction of mandible from maxillofacial CT image

Author(s):: CHEN Ziyu; HU Zhi; School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Keywords:: Keywords: mandible CT image three-dimensional reconstruction automatic segentation U-Net

摘要:: 提出一种下颌骨部分的自动提取与重建的方法，对颌面部CT图像使用U-Net神经网络自动分割出下颌骨部分，在移动立方体算法基础之上提出融合MCRC算法对分割结果进行三维模型重建，最后使用平滑处理优化模型表面。结果显示，该方法提高了实时交互绘制的能力，减少医生手动标注的工作量，可以有效减少三角面片的产生，改善模型显示效果，提高模型的结构清晰度与真实感，具有一定的实用价值。

Abstract:: Abstract: An automatic extraction and reconstruction method of the mandible is proposed. The mandible is automatically segmented from the maxillofacial CT image using U-Net. Based on the marching cubes algorithm, a fusion MCRC algorithm is adopted to reconstruct the three-dimensional model of the segmentation results, and the model surface is optimized by smoothing. The results show that the method is of high practical value for it improves the ability of real-time interactive rendering, reduces the workload of manual annotation, effectively avoids the production of triangular patches, improves the display quality, and enhances the structural clarity and realism.

备注/Memo:: 【收稿日期】2023-01-28 【基金项目】国家自然科学基金青年项目（62003207）；中国博士后基金面上项目（2021M690629）【作者简介】陈籽聿，硕士，研究方向：虚拟现实手术、深度学习，E-mail: 503074483@qq.com 【通信作者】胡陟，博士，硕士生导师，研究方向：虚拟现实、医用介入手术机器人，E-mail: huzhi26@126.com

更新日期/Last Update: 2023-07-15