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Automatic 2D/2D Registration using Multiresolution Pyramid based Mutual Information in Image Guided Radiation Therapy

Authors: Chufeng Jin, Mengyun Cheng, Yican Wu, Jing Jia, Shanqing Huang, Fang Liu, Qiang Ren, Gui Li

Abstract:

Medical image registration is the key technology in image guided radiation therapy (IGRT) systems. On the basis of the previous work on our IGRT prototype with a biorthogonal x-ray imaging system, we described a method focused on the 2D/2D rigid-body registration using multiresolution pyramid based mutual information in this paper. Three key steps were involved in the method : firstly, four 2D images were obtained including two x-ray projection images and two digital reconstructed radiographies(DRRs ) as the input for the registration ; Secondly, each pair of the corresponding x-ray image and DRR image were matched using multiresolution pyramid based mutual information under the ITK registration framework ; Thirdly, we got the final couch offset through a coordinate transformation by calculating the translations acquired from the two pairs of the images. A simulation example of a parotid gland tumor case and a clinical example of an anthropomorphic head phantom were employed in the verification tests. In addition, the influence of different CT slice thickness were tested. The simulation results showed that the positioning errors were 0.068±0.070, 0.072±0.098, 0.154±0.176mm along three axes which were lateral, longitudinal and vertical. The clinical test indicated that the positioning errors of the planned isocenter were 0.066, 0.07, 2.06mm on average with a CT slice thickness of 2.5mm. It can be concluded that our method with its verified accuracy and robustness can be effectively used in IGRT systems for patient setup.

Keywords: Image Guided Radiation Therapy, mutual information, multi resolution pyramid

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081381

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References:


[1] O. MAINTZ J B A, VIERGEVER M A. A survey of medical image registration
[J]. Medical Image Analysis, 1997, 2(1): 1-2.
[2] Terry S. Yoo. Insight into Images :principles and practice for segmentation, registration, and image analysis
[M]. 2004, 240-241.
[3] Pluim, J.P.W., Maintz, J.B.A, Viergever, M.A. Mutual information based registration of medical images´╝Üa survey. 2003, 22(8): 986 - 1004.
[4] Li Jia. key technologies in image-guided radiation therapy system research and an IGRT prototype system implementation
[D]. Institute of Plasma Physics, Chinese Academy of Sciences, 2010.
[5] Song Gang. Hybrid Dose Calculation Research and Program Development for Accurate Radiotherapy (doctor thesis). Hefei´╝ÜInstitute of Plasma Physics, Chinese Academy of Sciences, July, 2008, 1-100. (in Chinese).
[6] Wu Yican, Song Gang, Cao Ruifen et al. Chinese Physics C (HEP & NP), 2008, 32(Suppl. II): 177-182.
[7] LI Guoli. Study on Multi-objective Optimization Algorithm for Inverse Planning of External Radiation in ARTS (doctor thesis). Hefei: Institute of Plasma Physics, Chinese Academy of Sciences, July, 2006, 1-100.
[8] Cao Ruifen, Li Guoli, Song Gang etal. Chinese Journal of Radiological Medicine and Protection, 2007, 27(5):467-470 (in Chinese).
[9] Li Guoli, Song Gang, Wu Yican. Nuclear Technology, 2007, 30(3): 222-226(in Chinese).
[10] Li Guoli, Wu Yican, Zhang Jian. Plasma Science and Technology, 2006, 8(2):234-236.
[11] Li Guoli, Wu Yican, Song Gang, Wang Shifang. Nuclear Physics Review,2006,23(2): 233-236(in Chinese).
[12] Cao Ruifen, Li Guoli, Wu Yican. Advanced Intelligent Computing Theories and Applications. 2007, 4682:553-564. Translation after registration CT slice ´╝êmm´╝ë thickness´╝êmm´╝ë X Y Z 2.5 0.066 0.070 2.060 5 0.772 0.980 4.435 10 0.514 1.076 8.393
[13] L. Lemieux, R. Jagoe, D. R. Fish, N. D. Kitchen, and D. G. T. Thomas, "A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs," Med. Phys. 21, pp. 1749-1760, 1994.
[14] Daniel B. Russakoff, Torsten Rohlfing, Daniel Rueckert, Fast calculation of digitally reconstructed radiographs using light fields. Medical Imaging 2003: Image Processing . Proceedings of SPIE Vol. 5032 (2003): 684-695.
[15] Insight Software Consortium. The ITK Software Guide
[M/CD]. Second Edition, Updated for ITK version 2.4, 2005. 315-316.
[16] Maes, F., Vandermeulen, D., Suetens, P. Medical Image Registration Using Mutual Information. Proceedings of the IEEE. 2003, 91(10): 1699 - 1722.
[17] Frederik Maes, Andre Collignon. Multimodality image registration by maximization of mutual information
[J]. IEEE Transaction on Medical Imaging. 1997, 16(2):187ÔÇö198.
[18] J. P. Pluim, J. B. A. Maintz, and M. A. Viergever. Mutual-Information-Based Registration of Medical Images: A Survey. IEEE Transactions on Medical Imaging. 2003, 22(8):986-1004.
[19] CHEN Y, BROOKS RR, LYENGAR SS, et al. Efficient global optimization for image registration
[J]. IEEE Transaction on Knowledge and Engineering, 2002, 14 (1):79-92.
[20] Thevenaz, P., Unser, M. Optimization of mutual information for multiresolution image registration
[J]. IEEE Transaction on Image Processing. 2000, 9(12): 2083 - 2099.
[21] Shanqing Huang, Pengcheng Long, Jia Li. Research on registration and fusion of images based on ITK and VTK
[J]. Computer Application. 2010, 30(1).
[22] Insight Software Consortium. The ITK Software Guide
[M/CD]. Second Edition, Updated for ITK version 2.4, 2005.334-338.
[23] Mi Zhang, Xiaoming Wu, Linghong Zhou. Mattes mutual information medical image registration based on ITK
[J]. Microcomputer Information. 2010, 3-2´╝Ü189-191.
[24] Chen Xin,Martin R Varley,Lik-Kwan Shark,et al.A computationally efficient method for automatic registration of orthogonal x-ray images with volumetric CT data
[J].Physics in Medicine and Biology, 2008, 53(4):967-983.
[25] Markelj, P., A review of 3D/2D registration methods for image-guided interventions. Med. Image Anal. (2010),doi:10.1016/j.media.2010.03.005
[26] Jian-Yue Jin, Samuel Ryu, Kathleen Faber, et al. 2D/3D Image fusion for accurate target localization and evaluation of a mask based stereotactic system in fractionated stereotactic radiotherapy of cranial lesions. Med. Phys. Vol. 33, No. 12, 2006. 4557-4560.
[27] Hui Yan, Fang-Fang Yin, and Jae Ho Kim. A phantom study on the positioning accuracy of the Novalis Body system .Med. Phys. 2003, Vol. 30, No. 12. 3507-3508.