首页> 外文会议>2013 IEEE Nuclear Science Symposium and Medical Imaging Conference >Time reconstruction study using tubes of response backprojectors in list mode algorithms, applied to a monolithic crystals based breast PET
【24h】

Time reconstruction study using tubes of response backprojectors in list mode algorithms, applied to a monolithic crystals based breast PET

机译:使用列表模式算法中的响应反投影管进行时间重建研究,应用于基于整体晶体的乳房PET

获取原文

摘要

The LM-EM algorithm has the advantage to calculate the emission probabilities needed for the reconstruction process on the fly, without the need of a pre-calculated system matrix. The reconstruction time for this algorithm strongly depends on the used backprojector and the available statistics. This algorithm when implemented in systems using monolithic crystals to detect gamma radiation allows one to extensively exploit the virtual pixilation feature, not available for systems based on pixilated crystals. In this work we present a backprojector for LM-EM, the TOR method, which achieves a tradeoff between computational efficiency and image quality. Its temporal subset algorithm optimization (LM-OS) has also been implemented in order to achieve real-time reconstructions. To evaluate the performances of LM-OS algorithm with the TOR method backprojector and only with one iteration on the datasets, studies based on the system spatial resolution, uniformity, and contrast coefficients were carried out and they were compared with those obtained with LM-EM and MLEM algorithms using twelve iteration. Finally, a study on reconstruction time using LM-OS has been performed with breast patients data.
机译:LM-EM算法的优势在于,无需预先计算的系统矩阵,即可快速计算重建过程所需的发射概率。此算法的重建时间在很大程度上取决于所使用的反投影仪和可用的统计信息。当在使用单块晶体检测伽马射线的系统中实施此算法时,该算法可以广泛利用虚拟像素化功能,而基于像素化晶体的系统则无法使用该功能。在这项工作中,我们提出了一种用于LM-EM的背投影仪,即TOR方法,该投影仪在计算效率和图像质量之间实现了折衷。还实现了其时间子集算法优化(LM-OS),以实现实时重建。为了评估使用TOR方法反投影器并且仅对数据集进行一次迭代的LM-OS算法的性能,基于系统空间分辨率,均匀性和对比度系数进行了研究,并将其与LM-EM进行了比较和使用十二次迭代的MLEM算法。最后,对乳腺患者数据进行了使用LM-OS进行重建时间的研究。

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