一种颅脑MR影像的LBM三维非刚体配准方法

doi:10.3969/j.issn.1001-2400.2013.06.022

Abstract

Abstract:

In order to improve the performance of the 3D medical image non-rigid registration method, a new LBM (Lattice Boltzmann Method) craniocerebral MR 3D medical image non-rigid registration method is proposed. The 3D medical image registration process is converted into the flow process of the viscous fluid, the deformation force driving pixels are generated by using two-image gray level difference, and the pixels deformation trajectories are simulated under the control of external force by use of the LBM equation. The LBM equation of the compressible viscous fluid with a control force is set up, meanwhile the boundary conditions and the differential homeomorphism conditions are defined. Experimental results show that this method has the better performance than the similar methods.

Key words: lattice Boltzmann method, medical image, non-rigid registration, viscous fluid, diffeomorphic

CLC Number:

TP391

ZHENG Xiang;TONG Ming;CAO Yang. LBM craniocerebral MR 3D medical image non-rigid registration method[J].J4, 2013, 40(6): 125-131.

References

［1］ Zitova B, Flusser J. Image Registration Methods: a Survey ［J］. Image Vision Computing, 2003, 21(11): 977-1000.
［2］ Dawant B M. Non-Rigid Registration of Medical Images: Purpose and Methods, a Short Survey ［C］//IEEE International Symposiumon Biomedical Imaging. Piscataway: IEEE, 2002: 465-468.
［3］ Yang Jian, Wang Yongtian, Tang Songyuan, et al. Multiresolution Elastic Registration of X-ray Angiography Images Using Thin-Plate Spline ［J］. IEEE Transactions on Nuclear Science, 2007, 54(1): 152-166.
［4］ Xie Zhiyong, Farin G E. Image Registration Using Hierarchical B-Splines ［J］. IEEE Transactions on Visualization and Computer Graphics, 2004, 10(1): 85-94.
［5］ Christensen G E, Rabbitt R D, Miller M I. Deformable Templates Using Large Deformation Kinematics ［J］. IEEE Transcations on Image Processing, 1996, 5(10): 1435-1447.
［6］ Bro-Nielsen M, Gramkow C. Fast Fluid Registration of Medical Images ［C］//Proceedings of the 4th International Conference on Visualization in Biomedical Computing. Berlin: Springer-Verlag, 1996: 267-276.
［7］ Wollny G, Kruggel F. Computional Cost of Nonrigid Registration Algorithms Based on Fluid Dynamics ［J］. IEEE Transcations on Medical Imaging, 2002, 21(8): 946-952.
［8］ He J C, Christensen G E. Large Deformation Inverse Consistent Elastic Image Registration ［J］. Information Processing in Medical Imaging, 2003, 2732: 438-449.
［9］ Qian Yuehong, Zhou Ye. Complete Galilean-Invariant Lattice BGK Models for the Navier-Stokes Equation［J］. Europhysics Letters, 1998, 42(4): 359-366.
［10］ Dieter A, Wolf-Gladrow. Lattice Gas Cellular Automata and Lattice Boltzmann Models-an Introduction ［M］. Berlin: Springer, 2005.
［11］ Ladd A J C, Verberg R. Lattice-Boltzmann Simulations of Particle-Fluid Suspensions ［J］. Journal of Statistical Physics, 2001, 104(5): 1191-1251.
［12］ Thirion J P. Fast Non-Rigid Matching of 3D Medical Images ［DB/OL］. ［2012-12-20］. http://hal.inria.fr/docs/00/07/72168/PDF/RR-2547.pdf.
［13］ Marsland S, Mclachlan R. A Hamiltonian Particle Method for Diffeomorphic Image Registration ［C］//20th International Conference on Information Processing in Medical lmaging. Berlin: Springer Verlag, 2007: 396-407.
［14］同鸣, 曹阳, 何梦玥, 等. LBM的医学影像非刚体配准新方法［J］. 西安电子科技大学学报, 2013, 40(1): 6-13.
Tong Ming, Cao Yang, He Mengyue, et al. Non-rigid Registration Method of the Medical Image Based on the LBM ［J］. Journal of Xidian University, 2013, 40(1): 6-13.
［15］ Guimond A, Roche A, Ayache N, et al. Three-Dimensional Multimodal Brain Warping Using the Demons Algorithm and Adaptive Intensity Corrections ［J］. IEEE Transactions on Medical Imaging, 2001, 20(1): 58-69.
［16］ Chiang M C, Leow A D, Klunde A D, et al. Fluid Registration of Diffusion Tensor Images Using Information Theory ［J］. IEEE Transactions on Medical Imaging, 2008, 27(4): 442-456.

[1]	LI Qi;JI Hongbing;ZANG Bo;LIU Jin. Non-rigid registration of medical images based on local linear embedding and improved L-BFGS optimization [J]. J4, 2014, 41(5): 54-60.
[2]	TONG Ming;CAO Yang;HE Mengyue;ZHANG Jianlong. Non-rigid registration method of the medical image based on the LBM [J]. J4, 2013, 40(1): 6-13.
[3]	CHANG Tian-tian;LIU Hong-wei;FENG Jun. Support vector machine ensemble learning algorithm research based on heterogeneous data [J]. J4, 2010, 37(1): 136-141.
[4]	MA Jing;WU Cheng-ke;CHEN Dong;ZHOU You-xi. Embedded coding of medical images with regions of interest based on the three-dimensional zerotree [J]. J4, 2006, 33(2): 182-185.
[5]	NA Yan;YANG Wan-hai;LI Yong-zhao. Image information fusion and synthesis display of medical images [J]. J4, 2004, 31(1): 21-24.
[6]	TAO Guan-qun1;LI Da-peng2;LU Guang-hua1. Application of wavelet analysis in medical image fusion [J]. J4, 2004, 31(1): 82-86.

LBM craniocerebral MR 3D medical image non-rigid registration method

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 6

Metrics

Comments

Recommended 10