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[基于非刚性注册算法自动确定上复合地标的方法研究]

Z X Gao1, J Wang2, A N Wen1

  • 1Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
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这项研究引入了一个自动方法,用于在3D部复杂数据中进行解剖标志,3D部复杂数据,显示了对面分析的良好准确性和可重复性.

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科学领域:

  • 医疗成像医学成像
  • 计算解剖学的计算解剖学
  • 面外科手术 面外科手术

背景情况:

  • 准确的解剖学标志对于面分析和手术规划至关重要.
  • 三维 (3D) 数据的手动标志是耗时的,容易引起观察者之间的变化.

研究的目的:

  • 开发和评估一种自动化方法,用于识别3D部复杂数据上的解剖学地标.
  • 评估拟议的自动地标技术的可复制性和准确性.

主要方法:

  • 采用非刚性注册算法 (MeshMonk) 调整和变形尾复合体的3DCT数据.
  • 开发了一种自动化流程,将地标从模板转移到目标数据集.
  • 该方法通过将自动地标坐标与专家定义的地标相比较并评估类内相关系数 (ICC) 来验证.

主要成果:

  • 非刚性注册实现了0.70±0.09毫米的平均变形误差 (RMSD),具有很好的可重现性 (ICC=1.00).
  • 自动标志方法显示,24个解剖学标志的平均误差为1.86±0.30毫米.
  • 高可重现性得到证实,ICC值为1.00对于跨重复的3D坐标.

结论:

  • 通过使用非刚性注册成功建立了用于3D部复杂数据的自动标志方法.
  • 开发的方法表现出很好的准确性和可重复性,用于标志正常上复杂3D数据集中的解剖结构.
  • 这种技术有可能提高面研究和临床应用的效率和一致性.