首页> 外文期刊>Nuclear Science, IEEE Transactions on >Regularized Fully 5D Reconstruction of Cardiac Gated Dynamic SPECT Images
【24h】

Regularized Fully 5D Reconstruction of Cardiac Gated Dynamic SPECT Images

机译:心脏门控动态SPECT图像的正规化全5D重建

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In our recent work, we proposed an image reconstruction procedure aimed to unify gated imaging and dynamic imaging in nuclear cardiac imaging. With this procedure the goal is to obtain an image sequence from a single acquisition which shows simultaneously both cardiac motion and tracer distribution change over the course of imaging. In this work, we further develop and demonstrate this procedure for fully 5D (3D space plus time plus gate) reconstruction in gated, dynamic cardiac SPECT imaging, where the challenge is even greater without the use of multiple fast camera rotations. For 5D reconstruction, we develop and compare two iterative algorithms: one is based on the modified block sequential regularized EM (BSREM-II) algorithm, and the other is based on the one-step late (OSL) algorithm. In our experiments, we simulated gated cardiac imaging with the NURBS-based cardiac-torso (NCAT) phantom and Tc99m-Teboroxime as the imaging agent, where acquisition with the equivalent of only three full camera rotations was used during the course of a 12-minute postinjection period. We conducted a thorough evaluation of the reconstruction results using a number of quantitative measures. Our results demonstrate that the 5D reconstruction procedure can yield gated dynamic images which show quantitative information for both perfusion defect detection and cardiac motion.
机译:在我们最近的工作中,我们提出了一种图像重建程序,旨在统一门控成像和动态成像在核心脏成像中的应用。通过此过程,目标是从单个采集中获得一个图像序列,该序列同时显示在成像过程中心脏运动和示踪剂分布的变化。在这项工作中,我们将进一步开发和演示用于门控动态心脏SPECT成像中的全5D(3D空间加时间加门控)重建的程序,在不使用多次快速相机旋转的情况下,挑战甚至更大。对于5D重建,我们开发并比较了两种迭代算法:一种是基于改进的块顺序正则化EM(BSREM-II)算法,另一种是基于一步一步延迟(OSL)算法。在我们的实验中,我们使用基于NURBS的心脏躯干(NCAT)体模和Tc99m-Teboroxime作为显像剂对门控心脏成像进行了模拟,其中在12-分钟后注射时间。我们使用多种定量方法对重建结果进行了全面评估。我们的结果表明5D重建程序可以产生门控动态图像,该图像显示了灌注缺陷检测和心脏运动的定量信息。

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