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Application of the Delaunay triangulation interpolation in distortion XRII image 被引量:2

Delaunay三角网插值在XRII图像扭曲校正中的应用(英文)
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摘要 To alleviate the distortion of XRII X-ray image intensifier images in the C-arm CT computer tomography imaging system an algorithm based on the Delaunay triangulation interpolation is proposed.First the causes of the phenomenon the classical correction algorithms and the Delaunay triangulation interpolation are analyzed.Then the algorithm procedure is explained using flow charts and illustrations. Finally experiments are described to demonstrate its effectiveness and feasibility. Experimental results demonstrate that the Delaunay triangulation interpolation can have the following effects.In the case of the same center the root mean square distances RMSD and standard deviation STD between the corrected image with Delaunay triangulation interpolation and the ideal image are 5.760 4 ×10 -14 and 5.354 2 ×10 -14 respectively.They increase to 1.790 3 2.388 8 2.338 8 and 1.262 0 1.268 1 1.202 6 after applying the quartic polynomial model L1 and model L2 to the distorted images respectively.The RMSDs and STDs between the corrected image with the Delaunay triangulation interpolation and the ideal image are 2.489 × 10 -13 and 2.449 8 ×10 -13 when their centers do not coincide. When the quartic polynomial model L1 and model L2 are applied to the distorted images they are 1.770 3 2.388 8 2.338 8 and 1.269 9 1.268 1 1.202 6 respectively. 针对扭曲的影像加强器(X-ray image intensifier,XRII)图像对后继工作产生不利影响的问题,提出使用Delaunay三角网插值对扭曲的XRII图像进行校正.首先分析了XRII图像扭曲的原因、经典的校正方法和Delaunay三角网插值;然后,使用程序流程图对算法过程进行了解释.最后,通过实验来证明所提算法的有效性和可行性.实验结果表明:在中心对齐时,使用Delaunay三角插值方法校正后的XRII图像网格线交叉点坐标值与理想校正靶网格线交叉点坐标值的残留误差和标准误差分别为5.760 4×10-14和5.354 2×10-14,使用经典的全局四次多项式、模型L1和模型L2校正之后残留误差和标准误差分别为1.790 3,2.388 8,2.338 8和1.262 0,1.268 1,1.202 6;在中心不对齐时,使用Delaunay三角插值方法校正后的XRII图像网格线交叉点坐标值与理想校正靶网格线交叉点坐标值的残留误差和标准误差分别为2.489×10-13和2.449 8×10-13,使用经典的全局四次多项式、模型L1和模型L2校正后残留误差和标准误差分别为1.770 3,2.388 8,2.338 8和1.269 9,1.268 1,1.202 6.
出处 《Journal of Southeast University(English Edition)》 EI CAS 2014年第3期306-310,共5页 东南大学学报(英文版)
基金 The Natural Science Foundation of Anhui Province(No.1308085MF96) the Project of Chuzhou University(No.2012qd06,2011kj010B) the Scientific Research Foundation of Education Department of Anhui Province(No.KJ2014A186) the National Basic Research Program of China(973 Program)(No.2010CB732503)
关键词 XRII image Delaunay triangulation interpolation distortion correction XRII图像 Delaunay三角插值 扭曲校正 C臂X机
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  • 1张寅飞,安鲁陵,神会存.散乱测量数据多层次B样条逼近曲面拟合算法[J].机械制造与自动化,2005,34(2):14-16. 被引量:3
  • 2毋河海.地图数据库系统[M].北京:测绘出版社,1991..
  • 3CERVERI P, FORLANI C. Distortion correction for X-ray image intensifiers:polynomials and RBF neural network[J]. Medieal Physics, 2002, 29(8) :1759-1771.
  • 4GRONENSCHILD E. Correction for geometric image distortion in the X-ray imaging chain: Local technique versus global technique[J]. Medical Physics, 1999, 26(12): 2602-2616.
  • 5LIU R R, RUDIN S, BEDNAREK D R. Super-global distortion correction for a rotational C-arm x-ray image intensifier [J]. Medical Physics, 1999, 26(9): 1802-1810.
  • 6HOFSTETTER R, SLOMCZYKOWSKI M, SATI M. Fluoroscopy as an imaging means for computer-assisted surgical navlgation[J]. Computer Aided Surgery, 1999, 4(2) :65-76.
  • 7LIVYATAN H, YANIV Z, JOSKOWICZ L. Robust automatic C-arm calibration for fluoroscopy-based navigation: A practical approach[C]. London: Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II Lon UK 2002:60-68.
  • 8YANIV Z, JOSKOWICZ L, SIMKIN A, et al. Fluoroscopic image processing for computer-aided orthopaedic surgery[C]. Boston: Conf. on Medical Computing and Computer-Assisted Intervention, 1998:325-334.
  • 9SOIMU D, BADEA C, PALLIKARAKIS N. A novel approach for distortion correction for X-ray image intensifiers [J]. Computerized Medical Imaging and Graphics, 2003, 27: 79-85.
  • 10FANTOZZI S, CAPPELLO A, LEARDINI A. A global method based on thin-plate splines for correction of geometric distortion, An application to fluoroscopic images [J]. Med Phys, 2003, 30(2) :124-131.

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  • 1Feng Liu,Lei Sun,Jinbao Wan,Liang Shen,Yanhong Yu,Lingling Hu,Ying Zhou.Performance of different macrophytes in the decontamination of and electricity generation from swine wastewater via an integrated constructed wetland-microbial fuel cell process[J].Journal of Environmental Sciences,2020,32(3):252-263. 被引量:13
  • 2王田苗,刘文勇,胡磊,孙磊,张利军.基于多项式拟合的C臂投影全局校正法[J].高技术通讯,2007,17(9):919-923. 被引量:3
  • 3GREMBAN K D, THORPE C E, KANADE T. Geometric camera calibration using systems of linear equations [ C]// Proceedings of the 1988 IEEE International Conference on Robotics and Automa- tion. Piscataway, NJ: IEEE, 1988:562-567.
  • 4TSAI R Y. A versatile camera calibration technique for high-accura- cy 3 D machine vision metrology using off-the-shelf TV cameras and lenses [ J]. IEEE Journal of Robotics and Automation, 1987, 3(4) : 323 - 344.
  • 5FAUGERAS O. Three-dimensional computer vision: a geometric viewpoint [M]. Cambridge, MA: MIT Press, 1993:247-289.
  • 6BERTELSEN A, GARIN-MUGA A, ECHEVERRIA M, et al. Dis- tortion correction and calibration of intra-operative spine X-ray ima- ges using a constrained DLT algorithm [ J]. Computerized Medical Imaging and Graphics, 2014, 38(7): 558-568.
  • 7ZHU H, XU J, HE D, et al. Design and implementation of the moving workpieee sorting system based on LabVIEW [ C]// CCDC 2014: Proceedings of the 26th Chinese Control and Decision Confer- ence. Piscataway, NJ: IEEE, 2014: 5034-5038.
  • 8同士举.基于C形臂手术导航关键技术研究及系统实现[D].上海交通大学,2008:95—99.
  • 9MENG C. New method for geometric calibration and distortion cor- rection of conventional C-arm [ J]. Computers in Biology and Medi-cine, 2014:52:49-56.
  • 10NG H F. Automatic thresholding for defect detection [ J]. Pattern Recognition Letters, 2006, 27(14) : 1644 - 1649.

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