计算机应用 ›› 2016, Vol. 36 ›› Issue (12): 3429-3435.DOI: 10.11772/j.issn.1001-9081.2016.12.3429

• 虚拟现实与数字媒体 • 上一篇    下一篇

使用面积积分模型探究锥束CT功能成像的方法

钱鹰1,2, 廖婷婷1   

  1. 1. 重庆邮电大学 图形图像与多媒体实验室, 重庆 400065;
    2. 重庆市软件质量保证与测评工程技术中心, 重庆 400065
  • 收稿日期:2016-05-25 修回日期:2016-08-01 出版日期:2016-12-10 发布日期:2016-12-08
  • 通讯作者: 廖婷婷
  • 作者简介:钱鹰(1968-),男,重庆人,教授,博士,CCF高级会员,主要研究方向:医学图像处理、计算机软件仿真;廖婷婷(1992-),女,贵州贵阳人,硕士研究生,主要研究方向:医学图像处理。
  • 基金资助:
    国家自然科学基金资助项目(61171060)。

Cone-beam CT functional imaging method by using area integral model

QIAN Ying1,2, LIAO Tingting1   

  1. 1. Laboratory of Graphics-Image and Multimedia, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Chongqing Engineering Research Center for Software Quality Assurance, Testing and Evaluation, Chongqing 400065, China
  • Received:2016-05-25 Revised:2016-08-01 Online:2016-12-10 Published:2016-12-08
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61171060).

摘要: 为解决锥形束电子计算机断层扫描(CBCT)在功能成像中不能直接扫描获取体素时间-密度曲线(TDC)的问题,提出锥束CT功能成像的数学模型,得到灌注参数。首先建立模拟投影数据的面积积分模型,利用新西兰大白兔动态对比增强断层(DCE-CT)图像仿真模拟出锥束CT投影数据;利用模拟的投影数据,建立功能模型,使用最优化数值技术求解模型参数,获得各体素的近似TDC,并与实际测量的TDC对比验证模型的正确性;使用去卷积模型,利用最优化参数技术求解灌注参数。使用面积积分模型的模拟TDC与实际值的相似度达到了82.91%,使用此TDC可计算灌注参数并进行伪彩成像。利用CBCT投影数据和功能模型可得到体素近似TDC及组织的灌注参数,实现CBCT功能成像的目的。

关键词: 功能成像, 锥形束电子计算机断层扫描, 面积积分模型, 投影数据

Abstract: Cone-Beam Computed Tomography (CBCT) cannot directly scan to access Time-Density Curve (TDC) in the functional imaging. In order to solve the problem, a mathematical model of CBCT imaging was proposed to get the perfusion parameters. First, the area integral model of the simulated projection data was established, the CBCT projection data was simulated by using the New Zealand white rabbits Dynamic Contrast Enhanced CT (DCE-CT) image. The function model was established by using the projection data and the model parameters were solved by using optimization numerical technique. The approximate TDC of each voxel was obtained, the correctness of function model was verified by comparing the approximate TDC and the actually measured TDC. The perfusion parameters were solved by using the deconvolution model and the optimization parameters. The similarity of the simulation TDC solved by area integral model and actual TDC reached 82.91%. The simulation TDC could be used to calculate the perfusion parameters and get pseudo color image. CBCT projection data and function model can be used to get approximate TDC of voxel and tissue perfusion parameters, and achieve the purpose of CBCT functional imaging.

Key words: functional imaging, Cone-Bean Computed Tomography (CBCT), area integral model, projection data

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