基于Mimics平台的CT图像三维重建算法研究
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摘要
为充分挖掘CT图像中的医学诊断信息,提高CT图像的三维重建效果与可视化程度,研究了基于Mimics平台的CT图像三维重建算法。将腹部16排螺旋CT图像导入Mimics系统,利用系统图像分割、蒙版编辑和区域增长等功能模块,将脾脏器官由腹部CT切片图像中完整分离出来,并可进行任意角度的放大、缩小等操作。与传统方法相比,其实现的对人体器官、骨骼和组织的CT图像的三维重建与可视化处理结果,更加接近于真实器官的生理解剖结构。
To understand and dig clinical information of CT images, and to study the method of 3D reconstructionand visualization of CT image,we present an algorithm of 3D reconstruction. A group of 16 row spiral CT images of the abdomen of the human body was imported into Mimics 10. 01 using the tools thresholding,mask editing,region growing and reconstruction. Spleen was separated from the whole abdomen CT images and reconstructed. It can be observed from any perspective,zoomed in and out. The experiment results show that by using proposed 3D reconstruction algorithm,the spleen reconstructed is closer to its real 3D structure. It can provide further data in detail for medical research.
To understand and dig clinical information of CT images, and to study the method of 3D reconstructionand visualization of CT image,we present an algorithm of 3D reconstruction. A group of 16 row spiral CT images of the abdomen of the human body was imported into Mimics 10. 01 using the tools thresholding,mask editing,region growing and reconstruction. Spleen was separated from the whole abdomen CT images and reconstructed. It can be observed from any perspective,zoomed in and out. The experiment results show that by using proposed 3D reconstruction algorithm,the spleen reconstructed is closer to its real 3D structure. It can provide further data in detail for medical research.
引文
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[3]房春兰,陈雷霆,张宇.肝脏CT图像三维分割研究[J].电子科技大学学报,2009,38(2):278-295.FANG Chunlan,CHEN Leiting,ZHANG Yu.3D Segmentation Research of CT Liver Image Sequences[J].Journal of University of Electronic Science and Technology of China,2009,38(2):278-295.
[4]吴子扬,周大可,杨欣,等.由粗到精的三维人脸稀疏重建方法[J].吉林大学学报:信息科学版,2013,31(6):582-588.WU Ziyang,ZHOU Dake,YANG Xin,et al.Coarse-to-Fine 3D Face Reconstruction Method from Partial Information[J].Journal of Jilin University:Information Science Edition,2013,31(6):582-588.
[5]邵开来,周海波,张俊琪,等.基于Acti Viz.NET的脑纤维三维显示方法研究[J].科技通报,2011,27(5):746-749.SHAO Kailai,ZHOU Haibo,ZHANG Junqi,et al.Research on Activiz.Net Based White Matter Fiber 3-D Reconstruction[J].Bulletin of Science and Technology,2011,27(5):746-749.
[6]MAIKOS JASON T,QIAN Zhen,DIMITRIS METAXAS,et al.Finite Element Analysis of Spinal Cord Injury in the Rat[J].Neurotrauma,2008(25):795-816.
[7]DIRAMI A,HAMMOUCHE K,DIAF M,et al.Fast Multilevel Thresholding for Image Segmentation through a Multiphase Level Set Method[J].Signal Processing,2013,93(1):139-153.
[8]SEZGIN M,SANKUR B.Survey over Image Thresholding Techniques and Quantitative Performance Evaluation[J].Journal of Electronic Imaging,2004,13(1):146-168.
[9]项力领,刘智,齐翼,等.图像去噪的混合滤波方法[J].吉林大学学报:信息科学版,2013,31(3):266-271.XIANG Liling,LIU Zhi,QI Yi,et al.Method of Video Image De-Noising Based on Mixed Filter[J].Journal of Jilin University:Information Science Edition,2013,31(3):266-271.
[10]胡阳明,周大可,鹿乐,等.基于形变模型的三维人脑快速重建改进算法[J].吉林大学学报:信息科学版,2012,30(6):605-609.HU Yangming,ZHOU Dake,LU Le,et al.Improved 3D Fast Face Reconstruction Algorithm Based on Morphable Modle[J].Journal of Jilin University:Information Science Edition,2012,30(6):605-609.
[11]林晓梅,裴建国,牛刚,等.医学图像三维重建方法的研究与实现[J].长春工业大学学报:自然科学版,2005,26(3):225-228.LIN Xiaomei,PEI Jianguo,NIU Gang,et al.Research and Realization of 3D Medical Image Reconstruction[J].Journal of Changchun University of Techonology:Natural Science Edition,2005,26(3):225-228.
[12]孙宇阳.基于单幅图像的三维重建技术综述[J].北方工业大学学报,2011,23(1):9-13.SUN Yuyang.A Survey of 3D Reconstruction Based on Single Image[J].Journal of North China University of Techonology,2011,23(1):9-13.