期刊文献+

利用CT和MRI融合技术确定咀嚼肌三维肌力向量 被引量:6

THREE-DIMENSIONAL MASTICATORY MUSCLE FORCE VECTORS DETERMINED BY CT AND MRI FUSION IMAGE TECHNOLOGY
下载PDF
导出
摘要 采用基于小波金字塔分解的方法对颅颌面CT MRI医学图像进行融合 ,再经可视化技术处理 ,以测量和分析颅颌面部各咀嚼肌的三维肌力向量。结果显示 :咀嚼肌系统在功能状态下具有不同大小的生理横截面积和最大肌力 ,不同咀嚼肌以及同一咀嚼肌的不同侧别其肌力的空间方向亦各不相同。提示借助于颅颌面CT MRI医学图像融合技术获得咀嚼肌的三维肌力向量是可行的 。 In order to measure and analyze three dimensional masticatory muscle force vectors in craniofacial region, the multiresolution method based on wavelet pyramid was used for the fusion of cranio jaw facial CT and MRI image, then these images were visualized. The results showed that the area of physiological cross section (PCS) and the maximum muscle force were different during functioning in the masticatory muscles system. The various masticatory muscle forces or various sides in the same muscle were also different in the three dimensional directions. The results suggested that determination of three dimensional masticatory muscle vectors is feasible by CT and MRI fusion image technology in craniofacial region, and can provide significant results for the basic research in the masticatory muscle system.
出处 《解放军医学杂志》 CAS CSCD 北大核心 2002年第5期398-400,共3页 Medical Journal of Chinese People's Liberation Army
基金 国家自然科学基金资助课题 (编号 3990 0 1 65 1 0 1 2 52 1 1 )
关键词 咀嚼肌 三维肌力向量 体层摄影 X线计算机 磁共振成像 图像融合 CT MRI masticatory muscle three dimensional muscle force vector tomography, X ray computed magnetic resonance imaging image fusion
  • 相关文献

参考文献2

二级参考文献12

  • 1余立锋,CT理论与应用研究,2000年,9卷,1页
  • 2Wang G,Radiology,1994年,19卷,1期,79页
  • 3PA. Van den Elsen, Evert-Jan D.Polet al: Medical image matching-a review with classification IEEE Engineering in Medicineand Biology. 1993, Mar.26-38.
  • 4Frederik Maes et al: Multimodality image registration by maximization of mutualinformation IEEE Trans. On Medical Imaging, 1997,Vol.16,No.2:187~198.
  • 5Roger P. Woods, Scott T.Grafton et al: Automated image registratior: I. Generalmethods and intrasubject, intramodality validation J. Computer Assisted Tomography.1998,Vol.22, No.1:139~152
  • 6Philippe Thevenaz, Urs E. Ruttimann et al: A pyramid approach to subpixelregistration based on intensity. IEEE Trans. On Image Processing, 1998,Vol.7, No.1:27~41.
  • 7P.A. Van den Elsen, et al: Automatic registration of CT and MR Brain Images UsingCorrelation of Geometrical Features. IEEE Trans. On Medical Imaging. 1995,Vol.14, No.2:384~396.
  • 8Calvin RMaurer, J.Mechael Fitzpatrick et al: Registration of Head Volume ImagesUsing Implantable Fiducial Markers. IEEE Trans. OnMedical Imaging. 1997,Vol.16,No.4:447~462.
  • 9K.S.Arun, TS.Huang and S.D.Blostein: Least-Squares Fitting of Two 3-D Point SetsIEEE Trans. On Pat Anal and Mach Intel.1987,Vol.PAMI-9, No.5:698~700.
  • 10Paul J. Besl and Neil D. McKay: A Method for Registraion of 3-D Shapes. IEEE Trans.On Pat Anal. and Mach Intel.1992,Vol.14, No.2:239~255.

共引文献9

同被引文献51

引证文献6

二级引证文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部