基于移动立方体方法的脏内器官重建的研究
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摘要
医学影像可视化的一个重要分支——三维重建技术在临床学领域一直发挥着重要的作用,同时也是计算机领域一直关注的热点问题。从三维图像入手,医生可以更加精准地判断患者病灶的形态、状况和位置等,从而提高诊断的准确性。本文针对CT图像的预处理和分割结果做进一步研究,在腹腔二维切片感兴趣器官分割的基础上,提出采用移动立方体方法完成腹部器官和脊椎的重建,可解决二维序列影像到三维立体模型的转换问题。最后本文用试验验证了该方法对腹腔内器官三维重建的有效性。
An important branch of medical image visualization, 3 D reconstruction, has always played an important role in the field of clinical medicine and has been a hotspot of computer science and technology field. Starting with three-dimensional images, doctors can determine patient's lesion morphology, status and location more accurately, thereby improving the accuracy of medical diagnostic techniques. In this paper, the preprocessing and segmentation results of CT images were further studied. On the basis of segmentation of organs of interest in two-dimensional abdominal slices, the method of Marching Cubes was proposed to reconstruct abdominal organs and vertebrae, which could solve the conversion problem of two-dimensional sequence images to three-dimensional model. Finally, this paper validated the effectiveness of this method on the three-dimensional reconstruction of abdominal organs through experience.
An important branch of medical image visualization, 3 D reconstruction, has always played an important role in the field of clinical medicine and has been a hotspot of computer science and technology field. Starting with three-dimensional images, doctors can determine patient's lesion morphology, status and location more accurately, thereby improving the accuracy of medical diagnostic techniques. In this paper, the preprocessing and segmentation results of CT images were further studied. On the basis of segmentation of organs of interest in two-dimensional abdominal slices, the method of Marching Cubes was proposed to reconstruct abdominal organs and vertebrae, which could solve the conversion problem of two-dimensional sequence images to three-dimensional model. Finally, this paper validated the effectiveness of this method on the three-dimensional reconstruction of abdominal organs through experience.
引文
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[2]韩若凌,徐庆,张凤娟,等.评价常规超声联合超声弹性成像诊断甲状腺癌的临床价值[J].中国医疗设备,2011,26(12):113-115.
[3]王巧英,曾晓霞,祝青,等.磁共振造影剂的研究进展[J].现代生物医学进展,2013,16:3186-3189.
[4]陈盛祖.我国P E T/C T的发展和配置管理[J].中国医学装备,2011,9:1-4.
[5]孔祥云,李尹岑.CT技术的发展与其在医学上的应用[J].影像技术,2014,3:39-40.
[6]Hansen M S,S?rensen T S.Gadgetron:An open source framework for medical image reconstruction[J].Magnet Reson Med,2013,69(6):1768.
[7]Avila R,He T,Hong L,et al.Vol Vis:adiversified system for volume visualization research and development[A].Proceedings of Visualization[C].1994:94.
[8]Schroeder WJ,Avila LS,Hoffman W.Visualizing with VTK:A tutorial[J].IEEE Comput Graph,2000,20(5):20-27.
[9]刘登均,贺小兵,王明贵,等.Mimics软件在齿状突骨折诊断中的价值[J].局解手术学杂志,2012,21(1):10-11.
[10]赵明昌,田捷,薛健,等.医学影像处理与分析开发包MITK的设计与实现[J].软件学报,2005,16(4):485-495.
[11]何晖光,田捷,杨骅,等.三维医学影像诊断工作站——3Dmed[J].中国体视学与图像分析,2001,6(2):73-77.
[12]梁启堂,钟向阳.心脏冠状动脉多排CT扫描的优化措施[J].中国医疗设备,2011,26(8):161-162.
[13]刘健,张晓军,张锦明等.国产PET/CT技术进展[J].中国医疗器械信息,2013,10(5):21-24.
[14]Montani C,Scateni R,Scopigno R.A modified look-up table for implicit disambiguation of marching cubes[J].Visual Comput,1994,10(6):353-355.
[15]Zeng GL.Medical Image Reconstruction[M].Berlin:Springer Berlin Heidelberg,2010,12(124):63-68.
[16]唐占红,於时才.面绘制三维重建原理及其改进算法研究[J].计算机工程与设计,2009,30(9):2225-2228.
[17]尹学松,张谦,吴国华,等.四种体绘制算法的分析与评价[J].计算机工程与应用,2004,40(16):97-100.
[18]李郭.基于体绘制的医学图像三维可视化技术[D].成都:电子科技大学,2010.
[19]马锡坤,杨国斌,于京杰.基于虚拟化的云计算数据中心整体解决方案[J].中国医疗设备,2012,27(12):62-64.
[20]王甜宇,孙艳秋,燕燕.大数据时代云计算在区域医疗信息化中的应用[J].中国医疗设备,2015,30(6):72-74.