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脑血管三维重建及算法实现
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  • 英文篇名:3-D reconstruction and algorithm realization of cerebral blood vessels
  • 作者:郭健 ; 程宇航 ; 郭书祥
  • 英文作者:GUO Jian;CHENG Yuhang;GUO Shuxiang;School of Electrical and Electronic Engineering,Tianjin University of Technology;Faculty of Engineering,Kagawa University;
  • 关键词:医学CT ; 三维重建 ; 阈值分割 ; 蒙版编辑 ; Mimics软件 ; 图像预处理 ; 体数据 ; 错切变形法
  • 英文关键词:medical CT;;3-D modeling;;threshold segmentation;;mask editor;;Mimics;;image preprocessing;;volume data;;shear warp algorithm
  • 中文刊名:HEBG
  • 英文刊名:Journal of Harbin Engineering University
  • 机构:天津理工大学电气电子工程学院;日本香川大学工学部;
  • 出版日期:2018-10-30 09:21
  • 出版单位:哈尔滨工程大学学报
  • 年:2019
  • 期:v.40;No.270
  • 基金:国家高技术研究发展计划项目(2015AA043202);; 国家自然科学基金青年基金项目(61703305);; 天津市自然科学基金重点项目(18JCZDJC38500)
  • 语种:中文;
  • 页:HEBG201904002
  • 页数:6
  • CN:04
  • ISSN:23-1390/U
  • 分类号:13-18
摘要
针对目前脑血管的三维重建技术存在着对硬件要求高、重建结果与人体解剖学结果差距较大的问题,本文提出了一种脑血管三维重建方法。将扫描得到的CTA图像导入到Mimics17. 0软件中,先进行阈值分割,然后蒙版编辑,最后通过区域增长。经过这些预处理后,结合错切变形法的三维重建算法,得到三维重建的脑血管模型。其处理所得的脑血管具有模型清晰、细节突出的优点,同时所得模型可以进行切割处理和实现任意角度的放大缩小。系统运行结果表明:此方法得到的脑血管图像更加真实,并且可以进行多种软件的导入、模拟训练及后期的研究,为脑血管介入手术的术前模拟提供了有效的方法。
        At present,3-D reconstruction of cerebral blood vessels faces high hardware requirements and a wide gap between results of reconstruction and those of human anatomy. To solve these problems,this study proposes a new method of 3-D reconstruction of cerebral vascular vessels. Scanned CT images were imported into Mimics 17. 0 software for threshold segmentation,mask editing and region growing,such as pretreatment. Then,the cerebro-vascular 3-D reconstruction model was obtained by the 3-D reconstruction algorithm in combination with shearing warp algorithm. The processed cerebral blood vessels have advantages of clear model and outstanding details,and the obtained model is subjected to cutting processing and zooming in and out at any angle. System operation results show that the cerebral blood vessels are realistic and can be imported into various software,simulation training,and later research,thereby providing a new method for the preoperative simulation of cerebrovascular intervention.
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