首页> 外文期刊>Open Journal of Medical Imaging >Image Reconstruction from Fan-Beam Projections without Back-Projection Weight in a 2-D Dynamic CT: Compensation of Time-Dependent Rotational, Uniform Scaling and Translational Deformations
【24h】

Image Reconstruction from Fan-Beam Projections without Back-Projection Weight in a 2-D Dynamic CT: Compensation of Time-Dependent Rotational, Uniform Scaling and Translational Deformations

机译:二维动态CT中无背投影权重的扇形束投影的图像重建:时变旋转,均匀缩放和平移变形的补偿

获取原文
           

摘要

In a dynamic CT, the acquired projections are corrupted due to strong dynamic nature of the object, for example: lungs, heart etc. In this paper, we present fan-beam reconstruction algorithm without position-dependent backprojection weight which compensates for the time-dependent translational, uniform scaling and rotational deformations occurring in the object of interest during the data acquisition process. We shall also compare the computational cost of the proposed reconstruction algorithm with the existing one which has position-dependent weight. To accomplish the objective listed above, we first formulate admissibility conditions on deformations that is required to exactly reconstruct the object from acquired sequential deformed projections and then derive the reconstruction algorithm to compensate the above listed deformations satisfying the admissibility conditions. For this, 2-D time-dependent deformation model is incorporated in the fan-beam FBP reconstruction algorithm with no backprojection weight, assuming the motion parameters being known. Finally the proposed reconstruction algorithm is evaluated with the motion corrupted projection data simulated on the computer.
机译:在动态CT中,由于对象的强大动态特性(例如:肺,心脏等),获取的投影会被破坏。在本文中,我们提出了不依赖于位置的反投影权重的扇形光束重构算法,该算法可补偿时间差。在数据采集过程中,感兴趣的对象中会发生依赖的平移,均匀缩放和旋转变形。我们还将比较所提出的重建算法与现有的具有位置相关权重的算法的计算成本。为了实现上述目的,我们首先针对从获取的顺序变形投影中准确重建对象所需的变形制定可允许条件,然后推导重建算法以补偿上述满足可容许条件的变形。为此,假设运动参数已知,将二维时间相关的变形模型合并到扇束FBP重建算法中,而没有反投影权重。最后,利用在计算机上模拟的运动受损投影数据对提出的重建算法进行评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号