口腔疾病防治 ›› 2017, Vol. 25 ›› Issue (8): 519-522.DOI: 10.12016/j.issn.2096-1456.2017.08.010

• 临床研究 • 上一篇    下一篇

融合CT 和MRI 数据构建颌面部3D 数字化模型

雷公元1(), 艾毅龙1, 魏巍1, 黄达鸿1, 罗文平2, 李鹏1()   

  1. 1. 佛山科学技术学院附属口腔医院/佛山市口腔医院,广东佛山(528000)
    2. 佛山市智能臻德齿科有限公司,广东佛山(528000)
  • 收稿日期:2017-03-22 修回日期:2017-04-13 出版日期:2017-08-20 发布日期:2018-09-03
  • 作者简介:

    作者简介:雷公元,主治医师,专科,Email:550074900@qq.com

  • 基金资助:
    国家自然科学基金(51672276);佛山科学技术学院2017博士启动项目(Gg07002)

Construction of the 3D digital models of maxillofacial region based on CT and MRI images fusion

Gongyuan LEI1(), Yilong AI1, Wei WEI1, Dahong HUANG1, Wenping LUO2, Peng LI1()   

  1. 1. School of stomatology and medicine, Foshan University, Foshan 528000, China
    2. Foshan perfect zhende denture Co., Ltd, Foshan 528000, China
  • Received:2017-03-22 Revised:2017-04-13 Online:2017-08-20 Published:2018-09-03

摘要:

目的 探索通过精确、高效配准CT和MRI数据,建立包含颌面部主要肌肉和骨骼组织的3D数字化模型。方法 对1名志愿者行颌面部螺旋CT及MRI扫描,数据分别导入Mimics 15.0中,在3个视窗,即横断面、矢状面、冠状面,分别调整两种数据至同一断层,以树脂球为配准点,至少5个点配准两组数据。再利用CT分割并重建颌骨和面部皮肤3D模型,利用MRI分割重建面部主要肌肉3D模型。结果 建立了包含3对咀嚼肌、12对表情肌、面部皮肤与颌骨组织的3D模型,配准模型具有较高的一致性和相对位置精度。结论 实现了CT与MRI两种影像学数据的配准融合。

关键词: 电子计算机断层扫描, 磁共振成像, 颌面部, 配准, 数字化模型

Abstract:

Objective To explore an efficient method for the establishment of three-dimensional (3-D) digital models of maxillofacial region including muscle tissue based on CT and MRI images fusion on a personal computer, integration of CT and MRI data, and provide accurate 3D model for biomechanical analysis. Methods A male volunteer was scanned on maxillofacial region by spiral CT and MRI. Two kinds of data obtained were imported into Mimics 15. In the three sections, namely the transverse, sagittal, coronal sections, two kinds of data were adjusted to the same anatomical layers. The most obvious anatomical points on each layer were selected as registration points. Then, the multi-points registration was implemented for data fusion. Then the bone and facial skin were segmented and 3D reconstructed using CT data, the main facial muscles were segmented and 3D reconstructed using MRI data. Results The 3D model including 3 pairs of masticatory muscles, 12 pairs of facial expression muscles, facial skin and jaw tissues were established. Conclusion The efficient registration and fusion of CT and MRI datas were accomplished. Moreover, this method can be used for further segmentation and reconstruction of other important structures in craniofacial area, such skin, blood vessel, fat, lymph node and the brain tissues.

Key words: Computed tomography, Magnetic resonance imaging, Maxillofacial region, Registration, Digital model

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