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Three-dimensional organ modeling based on deformable surfaces applied to radio-oncology

Three-dimensional organ modeling based on deformable surfaces applied to radio-oncology
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摘要 This paper describes a method based on an energy minimizing deformable model applied to the 3D biomechanical modeling of a set of organs considered as regions of interest (ROI) for radiotherapy. The initial model consists of a quadratic surface that is deformed to the exact contour of the ROI by means of the physical properties of a mass-spring system. The exact contour of each ROI is first obtained using a geodesic active contour model. The ROI is then parameterized by the vibration modes resulting from the deformation process. Once each structure has been defined, the method provides a 3D global model including the whole set of ROIs. This model allows one to describe statistically the most significant variations among its structures. Statistical ROI variations among a set of patients or through time can be analyzed. Experimental results are presented using the pelvic zone to simulate anatomical variations among structures and its application in radiotherapy treatment planning. This paper describes a method based oil an energy mininfizing deformable model applied to the 3D biomechanical modeling of a set of organs considered as regions of interest （ROI） for radiotherapy. The initial model consists of a quadratic surface that is deformed to the exact contour of the ROI by means of the physical properties of a mass-spring system. The exact contour of each ROI is first obtained using a geodesic active contour model. The ROI is then parameterized by the vibration modes resulting from the deformation process. Once each structure has been defined, the method provides a 3D global model including the whole set of ROIs. This model allows one to describe statistically the most significant variations among its structures. Statistical ROI variations among a set of patients or through time can be analyzed. Experimental results are presented using the pelvic zone to simulate anatomical variations among structures and its application in radiotherapy treatment planning.
作者 Gloria BUENO Oscar DéNIZ Jesús SALIDO Carmen CARRASCOSA José M. DELGADO
机构地区 Grupo de Visióny Sistemas Inteligentes Hospital General de Ciudad Real Instituto Oncológico (Grupo IMO) Modesto Lafuente
出处 《Journal of Zhejiang University-Science C(Computers and Electronics)》 SCIE EI 2010年第6期407-417,共11页 浙江大学学报C辑（计算机与电子（英文版）
基金 Project partially supported by the VI FP and VII FP of the European Commission through MAESTRO and ENVISIONprojects (Nos. IP CE503564 and SP CE241851) Spanish Junta de Comunidades de Castilla–La Mancha (Nos. PBC06-0019 and PI-2006/01.1)
关键词 3D biomechanical organ modeling Energy minimizing deformable model Finite element model Geodesic active contour Radiotherapy treatment planning 3D biomechanical organ modeling, Energy minimizing deformable model, Finite element model Geodesic active contour, Radiotherapy treatment planning
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献31

  • 1Banik,S.,Rangayyan,R.,Boag,G.,2009.Landmarking and Segmentation of 3D CT Images.Springer Berlin Heidelberg.[doi:10.1007/s11548-009-0289-y].
  • 2Bueno,G.,2008.Fuzzy Systems and Deformable Models.In:Haas,O.C.L.,Burnham,K.J.(Eds.),Intelligent and Adaptive Systems in Medicine,Chapter 10.Series in Medical Physics and Biomedical Engineering.Taylor & Francis Group,London,p.305-329.
  • 3Bueno,G.,Fisher,M.,Burnham,K.,2001.Automatic Segmentation of Clinical Structures for RTP:Evaluation of a Morphological Approach.Proc.Medical Image Understanding and Analysis,p.73-76.
  • 4Bueno,G.,Martínez,A.,Adán,A.,2004.Fuzzy snake segmentation of anatomical structures applied to CT images.LNCS,3212:33-42.
  • 5Bueno,G.,Déniz,O.,Carrascosa,C.,Delgado,J.,Brualla,L.,2009.Fast Monte Carlo simulation on a voxelized human phantom deformed to a patient.Med.Phys.,36(11):5162-5174.[doi:10.1118/1.3245877].
  • 6Camapum,J.,Silva,A.,Freitas,A.,Bassani,H.,2004.Segmentation of Clinical Structures from Images of the Human Pelvic Area.Proc.17th Brazilian Symp.on Computer Graphics and Image Processing,p.10-16.[doi:10.1109/SIBGRA.2004.1352937].
  • 7Caselles,V.,Kimmel,R.,Sapiro,G.,1997.Geodesic active contours.Int.J.Comput.Vis.,22(1):61-79.[doi:10.1023/A:1007979827043].
  • 8Collier,D.,Burnett,S.,Amin,M.,2003.Assessment of consistency in contouring of normal-tissue anatomic structures.J.Appl.Clin.Med.Phys.,4(1):17-24.[doi:10.1120/1.1521271].
  • 9Costa,M.,Delingette,H.,Ayache,N.,2007.Automatic Segmentation of the Bladder Using Deformable Models.4th IEEE Int.Symp on Biomedical Imaging:from Nano to Macro,p.904-907.[doi:10.1109/ISBI.2007.356999].
  • 10Déniz,O.,Castrillón,M.,Lorenzo,J.,Antón,L.,Hernandez,M.,Bueno,G.,2010.Computer vision based eyewear selector.J.Zheijang Univ.-Sci.C (Comput.& Eletron.),11(2):79-91.[doi:10.1631/jzus.C0910377].
Journal of Zhejiang University-Science C(Computers and Electronics)
2010年 第6期

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