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基于Matlab距骨快速图像分割与动画生成的算法 被引量:4

Fast image segmentation and animation creating algorithms of talus based on Matlab
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摘要 背景:骨科手术导航是利用计算机和机器视觉技术,使医师在计算机屏幕的指导下完成接骨手术。为了后续定位工作的开展,首先必须基于CT图像序列在计算机上对下肢骨进行图像分割、三维重建和动画显示,并对其位姿进行测量。目的:在计算机上快速自动地实现距骨图像的分割、三维可视化及动画显示,为建立新型的足部手术导航系统搭建计算机显示平台。方法:基于足部CT图像序列,提出下列算法并采用Matlab编程实现:①基于最大熵原则对足部图像进行阈值分割以提取其中所有足部骨骼。②将形态学算法与Live-wire算法相结合快速自动地从该足部骨骼图像中分割出距骨。③利用移动立方体法对距骨表面进行三维重建。④采用图形学函数生成与显示距骨旋转的动画场景。结果与结论:实验结果表明,上述算法准确度高且以较少的时间在普通PC机上实现了距骨的三维可视化工作,可应用于足部手术导航的计算机显示平台中。 BACKGROUND: Orthopedic navigation uses the computer and machine vision technology, enables physicians to complete bone surgery under the guidance of computer screen. For subsequent localization work, first of all the lower limb bones must be segmented, 3D reconstructed and shown by animation based on the CT image sequence, and its position and orientation are measured. OBJECTIVE: To implement talus image segmentation, 3D visualization and generate its animation automatically on the computer, and to build a computer display platform for a new type of navigation system foot surgery. METHODS: The following Algorithms are proposed and realized by Matlab programming based on a CT image series of foot: ① Foot bone images are segmented by a threshold method based on the principle of maximum entropy to obtain foot skeleton. ② The talus is quickly and automatically segmented by a morphological method combined with Live-wire algorithm from the foot bone images. ③The three dimensional surface of talus is constructed using Marching Cubes method. ④A rotated animation of the talus is created and displayed by graphical functions of Matlab. RESULTS AND CONCLUSION: Results have shown that the proposed algorithms quickly and accurately realized the three-dimensional visualization of talus on common personal computer and can be applied in computer display platform of foot surgery navigation system.
作者 戴虹 杨云峰
出处 《中国组织工程研究与临床康复》 CAS CSCD 北大核心 2010年第26期4764-4769,共6页 Journal of Clinical Rehabilitative Tissue Engineering Research
基金 上海市教育委员会重点学科项目(J51801) 上海第二工业大学校基金(xQD208002)"骨科手术导航中的下肢骨三维显示与位姿测量"~~
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参考文献17

  • 1杨云峰.距下关节与踝关节对后足的影响实验研究[D].上海:同济大学,2003年.
  • 2Fasquel JB,Agnus V,Moreau J,et al.An interactive medical image segmentation system based on the optimal management of regions of interest using topological medical knowledge.Comput Methods Programs Biomed.2006;82(3):216-230.
  • 3张石,董建威,佘黎煌.医学图像分割算法的评价方法[J].中国图象图形学报,2009,14(9):1872-1880. 被引量:54
  • 4Zhou ZY,Ruan ZC.Multi context waveletbased thresholding segmentation of brain tissues in magnetic resonance images.Magnet Resonan Imag.2007;25:381-385.
  • 5Chou YC,Teng MM,Guo WY,et al.Classification of hemi dynamics from dynamic susceptibility contras magnetic resonance (DSC-MR) brain images using noiseless independent factor analysis.Med Image Anal.2007;11(3):242-253.
  • 6姜兴乾,李星野,贾淑华.基于最大熵与小波变换的图像边缘检测算法[J].微电子学与计算机,2009,26(3):189-191. 被引量:8
  • 7Jiang J,Yao B,Wason AM.A genetic algorithm design for microcalcification detection and classification in digital mammograms.Comput Med Imaging Graph.2007;31(1):49-61.
  • 8Dehmeshki J,Ye X,Lin X,et al.Automated detection of lung nodules in CT images using shape-based genetic algorithm.Comput Med Imaging Graph.2007;31(6):408-417.
  • 9Kim DY,Chung SM,Park JW.Automatic navigation path generation based on two-phase adaptive region-growing algorithm for virtual hagioscope.Med Eng Phys.2006;28(4):339-347.
  • 10Chuang KS,Tzeng HL,Chen Sharon.Fuzzy c-means clusting with spatial information for image segmentation.Comput Med Imaging Graph.2006;30:9-15.

二级参考文献55

  • 1汪天富,李德玉,郑昌琼,郑翊.超声医学图象分割的混合神经网络方法(英文)[J].航天医学与医学工程,2001,14(2):84-87. 被引量:7
  • 2杨金柱,赵姝颖,胡英,刘纪红,徐心和.序列医学图像三维分割的一种方法[J].系统仿真学报,2005,17(12):2896-2900. 被引量:8
  • 3王磊,莫玉龙,戚飞虎.基于Canny理论的边缘提取改善方法[J].中国图象图形学报(A辑),1996,1(3):191-195. 被引量:42
  • 4Chabrier S, Rosenberger C, Laurent H, et al. Evaluating the segmentation result of a gray-level image [ A ]. In: Proceedings of 12th European Signal Processing Conference [ C ] , Vienna: European Association for Signal, Speech and Image Processing, 2004:953-956.
  • 5Warfield S K, Zou K H, Wells W M. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation [J]. IEEE Transactions on Medical Imaging, 2004, 23(7): 903-921.
  • 6Kwan RK-S, Evans A C, Pike G B. MRI simulation-based evaluation of image-processing and classification methods [ J ] . IEEE Transactions on Medical Imaging, 1999, 18(11 ) : 1085-1097.
  • 7BrainWeb: Simulated Brain Database [ EB/OL ]. http:// www. bic. mni. mcgill.ca/brainweb/, 2006-6-12/2007-6-17.
  • 8Pizer S M. Intensity mappings to linearize display devices [ J ]. Computer Graphics and Image Processing, 1981, 17(3) : 262-268.
  • 9Nyul L G, Udupa J K. On standardizing the MR image intensity scale [J]. Magnetic Resonance in Medicine, 1999, 42(6): 1072-1081.
  • 10Worth A, The Internet Brain Segmentation Repository (IBSR) [ EB/ OL]. http://www. cma. mgh. harvard.edu/ibsr/, 2006-6-20/2007- 6-15.

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