解剖学报 ›› 2018, Vol. 49 ›› Issue (6): 736-739.doi: 10.16098/j.issn.0529-1356.2018.06.007

• 解剖学 • 上一篇    下一篇

双侧内耳统计形状模型

李熹 吴曙智 郑炎焱 陈晓素 杨晓国 杨晓凯*   

  1. 温州医科大学第三临床学院,温州市人民医院神经内科, 浙江 温州 325000
  • 收稿日期:2017-08-02 修回日期:2017-11-15 出版日期:2018-12-06 发布日期:2019-02-28
  • 通讯作者: 杨晓凯 E-mail:yakeworld@126.com
  • 基金资助:
    温州市重大科技专项;温州市公益性科技计划

A statistical shape model of the bilateral inner ear

LI Xi WU Shu-zhi ZHENG Yan-yan CHEN Xiao-su YANG Xiao-guo YANG Xiao-kai*   

  1. Department of Neurology, the Third Clinical Institute Affiliated to Wenzhou Medical University,Wenzhou People’s Hospital, Zhejiang Wenzhou 325000,China
  • Received:2017-08-02 Revised:2017-11-15 Online:2018-12-06 Published:2019-02-28

摘要:

目的 探讨建立双侧内耳统计形状模型的方法和影响因素,并探讨使用平均双侧内耳模型作为带空间信息的标准模型。 方法 通过Otsu法以及手动分割37例双侧内耳模型,对模型进行配准并生成统计形状模型,观察测量标准模型空间信息。 结果 Otsu 法可以分割获取高质量内耳模型,模型配准后使用Statismo 0.81软件可以生成稳定的内耳统计形状模型,其导出的平均模型空间方向信息具有代表性。结论 双侧内耳统计形状模型可以导出平均模型作为带空间方向信息的标准模型。

关键词: 内耳, 统计形状模型, 标准模型, 配准, 分割, 磁共振成像, Otsu法,

Abstract:

Objective To explore the method and influencing factors of establishing a statistical shape model of the bilateral inner ears, and to investigate the use of the mean model as a standard bilateral inner ear model with spatial information. Methods A total of 37 bilateral inner ear models were segmented through Otsu method and manual segmentation. Those models were registered to generate a statistical shape model. The mean model as a standard model was observed for the spatial information. Results High quality inner ear model was obtained through Otsu method segmentation. After those models were registered, the Statismo software was used to generate inner ear statistical shape model stably. The spatial direction information of the model was representative. Conclusion The statistical shape model of the bilateral inner ear can derive the mean model as the standard model with spatial orientation information.

Key words: Inner ear, Statistical shape model, Standard model, Image registration, Segmentation, Magnetic resonance imaging, Otsu method, Human