面向脊柱生物建模的图像分割与配准研究综述
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摘要
外伤常见的脊柱骨折患病率居高不下,脊柱图像的分割和配准是目标识别、生物力学建模、有限元分析等的关键步骤和必要前提,是无创手术导航治疗的关键技术。针对脊柱图像处理面临的问题,介绍了较为经典的医学图像分割和配准算法,分析其存在的缺陷,并展望脊柱图像处理未来发展趋势。研究成果对深入了解脊柱医学图像处理,以及推动脊柱骨折康复治疗的发展具有一定的意义。
The prevalence of common spinal fractures is high in this day. Spinal image segmentation and registration are the key step and prerequisite of target recognition, biomechanical modeling and finite element analysis. They are also the key technology of noninvasive surgery navigation. Aiming at the problems of spinal image processing, the classical medical image segmentation and registration algorithm is introduced. It also analyzes the defects and prospects of the future development trend of spine image processing. The research results have certain significance for further understanding of spinal medical image processing and promoting the development of rehabilitation therapy for spinal fractures.
The prevalence of common spinal fractures is high in this day. Spinal image segmentation and registration are the key step and prerequisite of target recognition, biomechanical modeling and finite element analysis. They are also the key technology of noninvasive surgery navigation. Aiming at the problems of spinal image processing, the classical medical image segmentation and registration algorithm is introduced. It also analyzes the defects and prospects of the future development trend of spine image processing. The research results have certain significance for further understanding of spinal medical image processing and promoting the development of rehabilitation therapy for spinal fractures.
引文
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[4]庄新明.骶1双皮质椎弓根钉单点矫正和三维固定在腰骶固定的生物力学研究[D].吉林:吉林大学,2016.Zhuang X M.The Biomechanical Studies of Mono-point Correction and Three Dimensional Fixation of the Sacralone Bicortical Pedicle Screw on the Lumbosacral Construct[D].Jilin:Jilin University,2016.
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[7]Pedoia V,Majumdar S,Link T M.Segmentation of Joint and Musculoskeletal Tissue in the Study of Arthritis[J].Magnetic Resonance Materials in Physics Biology&Medicine(S0968-5243),2016,29(2):207-221.
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[9]谢亮.基于信息熵和改进粒子群算法的医学图像分割方法研究[J].半导体光电,2016,37(6):894-898.Xie L.Medical Image Segmentation Method Based on Information Entropy and Improved Particle Swarm Algorithm[J].Semiconductor Optoelectronics,2016,37(6):894-898.
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[11]Javadpour A,Mohammadi A.Improving Brain Magnetic Resonance Image(MRI)Segmentation via a Novel Algorithm based on Genetic and Regional Growth[J].Journal of Biomedical Physics&Engineering(S2251-7200),2016,6(2):95-108.
[12]Gupta D,Anand R S,Tyagi B.A Hybrid Segmentation Method Based On Gaussian Kernel Fuzzy Clustering and Region Based Active Contour Model for Ultrasound Medical Images[J].Biomedical Signal Processing&Control(S1746-8094),2015,16(2):98-112.
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[18]Abdel-Maksoud E,Elmogy M,Al-Awadi R.Brain Tumor Segmentation based on a Hybrid Clustering Technique[J].Egyptian Informatics Journal(S1110-8665),2015,16(1):71-81.
[19]Li Y,Jiao L,Shang R,et al.Dynamic-context Cooperative Quantum-behaved Particle Swarm Optimization based on Multilevel Thresholding applied to Medical Image Segmentation[J].Information Sciences(S0020-0255),2015,294(1):408-422.
[20]Namburu A,Samay S K,Edara S R.Soft Fuzzy Rough Set-based MR Brain Image Segmentation[J].Applied Soft Computing(S1568-4946),2017,54(1):456-466.
[21]崔宝侠,田佳,段勇,等.基于图论分割的肺部CT图像的三维重建[J].沈阳工业大学学报,2015,37(6):667-672.Cui B X,Tian J,Duan Y,et al.Three-dimensional Reconstruction of Lung CT Images Based on Graph Theory Segmentation[J].Journal of Shenyang University of Technology,2015,37(6):667-672.
[22]邹瑜,帅仁俊.基于改进的SOM神经网络的医学图像分割算法[J].计算机工程与设计,2016,37(9):2533-2537,2581.Zou Y,Shuai R J.Improved Segmentation Algorithm of Medical Images Based on SOM Neural Network[J].Computer Engineering and Design,2016,37(9):2533-2537,2581.
[23]Harris D,Stephens M.A Combined Comer and Edge Detector[C].Matthews M M Proceedings of the Fourth Alvey Vision Conference Manchester the university of Sheffield printing Uint,1998:147-151.
[24]Andre G,Wu K.Providing Visual Information to Validate2-D to 3-D Registration[J].Medical Image Analysis(S1361-8415),2000,4(4):357-374.
[25]Xu Y,Yu G,Wang Y,et al.A Hybrid Vehicle Detection Method Based on Viola-Jones and HOG+SVM from UAV Images[J].Sensors(S1424-8220),2016,16(8):1325.
[26]Aksoy T,Spiclin Z,Pernus F,et al.Monoplane 3D-2DRegistration of Cerebral Angiograms based on Multi-objective Stratified Optimization[J].Physics in Medicine&Biology(S0031-9155),2017,62(24):9377-9394.
[27]王观英,许新征,丁世飞.基于3D-PCNN和互信息的3D-3D医学图像配准方法[J].计算机应用,2017,37(增1):215-219.Wang G Y,Xu X Z,Ding S F.3D-3D Medical Image Registration Method Based on 3D-PCNN and Mutual Information[J].Journal of Computer Applications,2017,37(S1):215-219.
[28]Ouadah S,Jacobson M W,Stayman J W,et al.Correction of Patient Motion in Cone-beam CT using 3D-2DRegistration[J].Physics in Medicine&Biology(S0031-9155),2017,62(23):8813-8831.
[29]Liang L,Wei M,Szymczak A,et al.Nonrigid Iterative Closest Points for Registration of 3D Biomedical Surfaces[J].Optics&Lasers in Engineering(S0143-8166),2018,100(1):141-154.
[30]Toth D,Panayiotou M,Brost A,et al.3D/2D Registration with Superabundant Vessel Reconstruction for Cardiac Resynchronization Therapy[J].Medical Image Analysis(S1361-8415),2017,42(1):160-172.
[31]李洪波.共形几何代数-几何代数的新理论和计算框架[J].计算机辅助设计与图形学学报,2005,17(11):2383-2393.Li H B.Conformal Geometric Algebra-A New Framework for Computational Geometry[J].Journal of Computer-Aided Design and Computer Graphics,2005,17(11):2383-2393.
[32]Yuan L,Yu Z,Luo W,et al.Pattern Forced Geophysical Vector Field Segmentation based on Clifford FFT[J].Computers&Geosciences(S0098-3004),2013,60(10):63-69.
[33]Dell’Acqua A,Sarti A,Tubaro S.3D Motion from Structures of Points,Lines and Planes[J].Image&Vision Computing(S0262-8856),2008,26(4):529-549.
[34]李洪波.共形几何代数与运动和形状的刻画[J].计算机辅助设计与图形学学报,2006,18(7):895-901.Li H B.Conformal Geometric Algebra for Motion and Shape Description[J].Journal of Computer-Aided Design and Computer Graphics,2006,18(7):895-903.
[35]曹文明,刘辉,徐晨,等.基于共形几何代数的3D医学图像配准[J].中国科学:信息科学,2013,43(2):254-274.Cao W M,Liu H,Xu C,et al.3D Medical Image Registration Based on Conformal Geometric Algebra[J].Science China:Information Sciences,2013,43(2):254-274.
[36]华亮,黄宇,丁立军,等.Clifford代数空间上的三维多模医学图像配准[J].光电工程,2014,41(1):65-72.Huang L,Huang Y,Ding L J,et al.Multimodality 3DMedical Image Registration in Clifford Algebra Space[J].Opto-Electronic Engineering,2014,41(1):65-72.
[37]华亮,丁立军,黄宇,等.Clifford代数几何不变量3D医学图像配准的方法[J].计算机科学,2014,41(6):304-308.Huang L,Ding L J,Huang Y,et al.Approach for 3DMedical Image Registration Based 011 Clifford Algebra Geometrical Invariance[J].Computer Science,2014,41(6):304-308.
[38]华亮,程天宇,顾菊平,等.基于ROI及Clifford代数相对不变量的3D医学图像配准[J].图学学报,2017,38(1):90-96.Huang L,Cheng T Y,Gu J P,et al.3D Medical Image Registration Based on Clifford Relative Invariant and Region of Interest[J].Journal of Graphics,2017,38(1):90-96.
[39]Lu X,Ma H,Zhang B.A Non-rigid Medical Image Registration Method based on Improved Linear Elastic Model[J].Optik-International Journal for Light and Electron Optics(S0030-4026),2012,123(20):1867-1873.
[40]Chang H H,Tsai C Y.Adaptive Registration of Magnetic Resonance Images based on a Viscous Fluid Model[J].Computer Methods and Programs in Biomedicine(S0169-2607),2014,117(2):80-91.
[41]JI Hui-zhong,JIA Da-yu,DONG En-qing.Non-rigid Registrations based on Image Characteristics and Optical Flows[J].Optics and Precision Engineering(S1004-924X),2017,25(9):2469-2482.
[42]Lu X,Zhao Y,Zhang B,et al.A Non-rigid Cardiac Image Registration Method based on an Optical Flow Model[J].Optik-International Journal for Light and Electron Optics(S0030-4026),2013,124(20):4266-4273.
[43]杜雪莹,龚伦,刘兆邦,等.基于自适应薄板样条全变分的肺CT/PET图像配准[EB/OL].(2018-05-28)[2018-09-18].http://kns.cnki.net/kcms/detail/11.2127.TP.20180524.1629.002.html.Du X Y,Gong L,Liu Z F,et al.The CT/PET Lung Registration Using Adaptive Thin Plate Spline-based Total Variation Regularization[EB/OL].(2018-05-28)[2018-09-18].http://kns.cnki.net/kcms/detail/11.2127.TP.20180524.1629.002.html.
[44]Lapeer R J,Shah S K,Rowland R S.An Optimised Radial basis Function Algorithm for Fast Non-rigid Registration of Medical Images[J].Computers in Biology&Medicine(S0010-4825),2010,40(1):1-7.
[45]Pawar A,Zhang Y,Jia Y,et al.Adaptive FEM-based Nonrigid Image Registration using Truncated Hierarchical B-splines[J].Computers&Mathematics with Applications(S0898-1221),2016,72(8):2028-2040.
[2]Woodall,Jr J W,Mc Guire,et al.Evidence for the Treatment of Thoracolumbar Turst Tractures[J].Current Orthopaedic Practice(S1940-7041),2012,23(3):188-192.
[3]Ten J B,Saltzherr T P,Panneman M,et al.Incidence of Spinal Fractures in the Netherlands 1997-2012[J].J Clin Orthop Trauma(S0976-5662),2017,8:67-70.
[4]庄新明.骶1双皮质椎弓根钉单点矫正和三维固定在腰骶固定的生物力学研究[D].吉林:吉林大学,2016.Zhuang X M.The Biomechanical Studies of Mono-point Correction and Three Dimensional Fixation of the Sacralone Bicortical Pedicle Screw on the Lumbosacral Construct[D].Jilin:Jilin University,2016.
[5]Gelb D,Ludwig S,Karp J,et al.Successful Treatment of Thoracolumbar Fractures with Short-segment Pedicle Instrumentation[J].Journal of Spinal Disorders&Techniques(S1536-0652),2010,23(5):293-301.
[6]杨程,徐晓刚,王建国.图像配准技术研究[J].计算机科学,2016(增2):142-144.Yang C,Xu X G,Wang J G.Research on Image Registration Technology[J].Computer Science,2016(S2):142-144.
[7]Pedoia V,Majumdar S,Link T M.Segmentation of Joint and Musculoskeletal Tissue in the Study of Arthritis[J].Magnetic Resonance Materials in Physics Biology&Medicine(S0968-5243),2016,29(2):207-221.
[8]Feng Y,Zhao H,Li X,et al.A Multi-scale 3D Otsu Thresholding Algorithm for Medical Image Segmentation[J].Digital Signal Processing(S1051-2004),2017,60:186-199.
[9]谢亮.基于信息熵和改进粒子群算法的医学图像分割方法研究[J].半导体光电,2016,37(6):894-898.Xie L.Medical Image Segmentation Method Based on Information Entropy and Improved Particle Swarm Algorithm[J].Semiconductor Optoelectronics,2016,37(6):894-898.
[10]Javed A,Kim Y C,Khoo M,et al.Dynamic 3D MRVisualization and Detection of Upper Airway Obstruction during Sleep using Region Growing Segmentation[J].IEEE Transactions on Biomedical Engineering(S0018-9294),2016,63(2):431-437.
[11]Javadpour A,Mohammadi A.Improving Brain Magnetic Resonance Image(MRI)Segmentation via a Novel Algorithm based on Genetic and Regional Growth[J].Journal of Biomedical Physics&Engineering(S2251-7200),2016,6(2):95-108.
[12]Gupta D,Anand R S,Tyagi B.A Hybrid Segmentation Method Based On Gaussian Kernel Fuzzy Clustering and Region Based Active Contour Model for Ultrasound Medical Images[J].Biomedical Signal Processing&Control(S1746-8094),2015,16(2):98-112.
[13]熊晶晶,周亚丽,张奇志.基于各向异性主动轮廓模型的图像分割方法研究[J].计算机应用研究,2017,35(12):3484-3487.Xiong J J,Zhou Y L,Zhang Q Z.Image Segmentation Method of Active Contour Model Based on Anisotropic Filtering[J].Application Research of Computers,2017,35(12):3484-3487.
[14]Miao J,Huang T Z,Zhou X,et al.Image Segmentation Based On an Active Contour Model of Partial Image Restoration with Local Cosine Fitting Energy[J].Information Sciences(S0020-0255),2018,447(1):52-71.
[15]Tamezpe?a J G,Farber J,González P C,et al.Unsupervised Segmentation And Quantification of anatomical Knee Features:Data From The Osteoarthritis Initiative[J].IEEE Transactions on Biomedical Engineering(S0018-9294),2012,59(4):1177-1186.
[16]Dam E B,Lillholm M,Marques J,et al.Automatic Segmentation of High-And Low-Field Knee MRIs Using Knee Image Quantification with Data From The Osteoarthritis Initiative[J].Journal of Medical Imaging(S2329-4302),2015,2(2):024001.
[17]温锐,陈宏文,张雷,等.基于引导滤波的多图谱医学图像分割[J].南方医科大学学报,2015,35(9):1263-1267.Wen R,Chen H W,Zhang L,et al.Medical Image Segmentation Based on Guided Filtering and Multi-atlas[J].Journal of Southern Medical University,2015,35(9):1263-1267.
[18]Abdel-Maksoud E,Elmogy M,Al-Awadi R.Brain Tumor Segmentation based on a Hybrid Clustering Technique[J].Egyptian Informatics Journal(S1110-8665),2015,16(1):71-81.
[19]Li Y,Jiao L,Shang R,et al.Dynamic-context Cooperative Quantum-behaved Particle Swarm Optimization based on Multilevel Thresholding applied to Medical Image Segmentation[J].Information Sciences(S0020-0255),2015,294(1):408-422.
[20]Namburu A,Samay S K,Edara S R.Soft Fuzzy Rough Set-based MR Brain Image Segmentation[J].Applied Soft Computing(S1568-4946),2017,54(1):456-466.
[21]崔宝侠,田佳,段勇,等.基于图论分割的肺部CT图像的三维重建[J].沈阳工业大学学报,2015,37(6):667-672.Cui B X,Tian J,Duan Y,et al.Three-dimensional Reconstruction of Lung CT Images Based on Graph Theory Segmentation[J].Journal of Shenyang University of Technology,2015,37(6):667-672.
[22]邹瑜,帅仁俊.基于改进的SOM神经网络的医学图像分割算法[J].计算机工程与设计,2016,37(9):2533-2537,2581.Zou Y,Shuai R J.Improved Segmentation Algorithm of Medical Images Based on SOM Neural Network[J].Computer Engineering and Design,2016,37(9):2533-2537,2581.
[23]Harris D,Stephens M.A Combined Comer and Edge Detector[C].Matthews M M Proceedings of the Fourth Alvey Vision Conference Manchester the university of Sheffield printing Uint,1998:147-151.
[24]Andre G,Wu K.Providing Visual Information to Validate2-D to 3-D Registration[J].Medical Image Analysis(S1361-8415),2000,4(4):357-374.
[25]Xu Y,Yu G,Wang Y,et al.A Hybrid Vehicle Detection Method Based on Viola-Jones and HOG+SVM from UAV Images[J].Sensors(S1424-8220),2016,16(8):1325.
[26]Aksoy T,Spiclin Z,Pernus F,et al.Monoplane 3D-2DRegistration of Cerebral Angiograms based on Multi-objective Stratified Optimization[J].Physics in Medicine&Biology(S0031-9155),2017,62(24):9377-9394.
[27]王观英,许新征,丁世飞.基于3D-PCNN和互信息的3D-3D医学图像配准方法[J].计算机应用,2017,37(增1):215-219.Wang G Y,Xu X Z,Ding S F.3D-3D Medical Image Registration Method Based on 3D-PCNN and Mutual Information[J].Journal of Computer Applications,2017,37(S1):215-219.
[28]Ouadah S,Jacobson M W,Stayman J W,et al.Correction of Patient Motion in Cone-beam CT using 3D-2DRegistration[J].Physics in Medicine&Biology(S0031-9155),2017,62(23):8813-8831.
[29]Liang L,Wei M,Szymczak A,et al.Nonrigid Iterative Closest Points for Registration of 3D Biomedical Surfaces[J].Optics&Lasers in Engineering(S0143-8166),2018,100(1):141-154.
[30]Toth D,Panayiotou M,Brost A,et al.3D/2D Registration with Superabundant Vessel Reconstruction for Cardiac Resynchronization Therapy[J].Medical Image Analysis(S1361-8415),2017,42(1):160-172.
[31]李洪波.共形几何代数-几何代数的新理论和计算框架[J].计算机辅助设计与图形学学报,2005,17(11):2383-2393.Li H B.Conformal Geometric Algebra-A New Framework for Computational Geometry[J].Journal of Computer-Aided Design and Computer Graphics,2005,17(11):2383-2393.
[32]Yuan L,Yu Z,Luo W,et al.Pattern Forced Geophysical Vector Field Segmentation based on Clifford FFT[J].Computers&Geosciences(S0098-3004),2013,60(10):63-69.
[33]Dell’Acqua A,Sarti A,Tubaro S.3D Motion from Structures of Points,Lines and Planes[J].Image&Vision Computing(S0262-8856),2008,26(4):529-549.
[34]李洪波.共形几何代数与运动和形状的刻画[J].计算机辅助设计与图形学学报,2006,18(7):895-901.Li H B.Conformal Geometric Algebra for Motion and Shape Description[J].Journal of Computer-Aided Design and Computer Graphics,2006,18(7):895-903.
[35]曹文明,刘辉,徐晨,等.基于共形几何代数的3D医学图像配准[J].中国科学:信息科学,2013,43(2):254-274.Cao W M,Liu H,Xu C,et al.3D Medical Image Registration Based on Conformal Geometric Algebra[J].Science China:Information Sciences,2013,43(2):254-274.
[36]华亮,黄宇,丁立军,等.Clifford代数空间上的三维多模医学图像配准[J].光电工程,2014,41(1):65-72.Huang L,Huang Y,Ding L J,et al.Multimodality 3DMedical Image Registration in Clifford Algebra Space[J].Opto-Electronic Engineering,2014,41(1):65-72.
[37]华亮,丁立军,黄宇,等.Clifford代数几何不变量3D医学图像配准的方法[J].计算机科学,2014,41(6):304-308.Huang L,Ding L J,Huang Y,et al.Approach for 3DMedical Image Registration Based 011 Clifford Algebra Geometrical Invariance[J].Computer Science,2014,41(6):304-308.
[38]华亮,程天宇,顾菊平,等.基于ROI及Clifford代数相对不变量的3D医学图像配准[J].图学学报,2017,38(1):90-96.Huang L,Cheng T Y,Gu J P,et al.3D Medical Image Registration Based on Clifford Relative Invariant and Region of Interest[J].Journal of Graphics,2017,38(1):90-96.
[39]Lu X,Ma H,Zhang B.A Non-rigid Medical Image Registration Method based on Improved Linear Elastic Model[J].Optik-International Journal for Light and Electron Optics(S0030-4026),2012,123(20):1867-1873.
[40]Chang H H,Tsai C Y.Adaptive Registration of Magnetic Resonance Images based on a Viscous Fluid Model[J].Computer Methods and Programs in Biomedicine(S0169-2607),2014,117(2):80-91.
[41]JI Hui-zhong,JIA Da-yu,DONG En-qing.Non-rigid Registrations based on Image Characteristics and Optical Flows[J].Optics and Precision Engineering(S1004-924X),2017,25(9):2469-2482.
[42]Lu X,Zhao Y,Zhang B,et al.A Non-rigid Cardiac Image Registration Method based on an Optical Flow Model[J].Optik-International Journal for Light and Electron Optics(S0030-4026),2013,124(20):4266-4273.
[43]杜雪莹,龚伦,刘兆邦,等.基于自适应薄板样条全变分的肺CT/PET图像配准[EB/OL].(2018-05-28)[2018-09-18].http://kns.cnki.net/kcms/detail/11.2127.TP.20180524.1629.002.html.Du X Y,Gong L,Liu Z F,et al.The CT/PET Lung Registration Using Adaptive Thin Plate Spline-based Total Variation Regularization[EB/OL].(2018-05-28)[2018-09-18].http://kns.cnki.net/kcms/detail/11.2127.TP.20180524.1629.002.html.
[44]Lapeer R J,Shah S K,Rowland R S.An Optimised Radial basis Function Algorithm for Fast Non-rigid Registration of Medical Images[J].Computers in Biology&Medicine(S0010-4825),2010,40(1):1-7.
[45]Pawar A,Zhang Y,Jia Y,et al.Adaptive FEM-based Nonrigid Image Registration using Truncated Hierarchical B-splines[J].Computers&Mathematics with Applications(S0898-1221),2016,72(8):2028-2040.