High-definition positron emission tomography using restored sinograms
High-definition positron emission tomography using restored sinograms
复制标题
使用恢复正弦图的高清正电子发射断层扫描
DOI：
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
W. Wong
中科院分区：
文献类型：
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作者：
Hongdi Li;Yuxuan Zhang;H. Baghaei;Shitao Liu;R. Ramirez;Chao Wang;S. An;W. Wong
分辨率恢复是高分辨率、高灵敏度正电子发射断层成像（PET）相机的一项重要技术。在使用点扩散函数校正探测器视差后，可以创建高清晰度PET图像。许多研究表明，采用系统响应函数（SRF）的迭代重建方法可以获得更好的分辨率和定量精度。在本文中，我们使用SRF恢复正弦图，然后重建图像使用恢复的正弦图与传统的重建方法。SRF是由GEANT软件的Monte Carlo模拟得到的。我们为我们的原型动物PET相机（RRPET）和人类PET相机（HOTPET）的检测器几何形状的SRF建模进行评估。Na-22点源实验结果表明，这两种相机的分辨率退化得到了消除。正如预期的那样，在用微型豪华体模和大鼠数据评估的小动物PET系统中，使用正弦图恢复方法的图像质量显著提高。然而，在具有可旋转机架的人体PET中，霍夫曼脑体模图像没有改善，这可能与原始正弦图中存在的探测器间隙和散射背景有关。
Resolution recovery becomes an important technology for high-resolution and high-sensitivity Positron Emission Tomography (PET) cameras. High-definition PET images can be created after correcting detector parallax errors using point-spread functions. Many studies have demonstrated that better resolution and quantitative accuracy can be achieved by iterative reconstruction method with system respond function (SRF). In this paper, we use the SRF to restore sinograms first and then reconstruct images using the restored sinograms with conventional reconstruction methods. SRF is derived from Monte Carlo simulations with GEANT software. We modeled the SRF for the detector geometry of our prototype animal PET camera (RRPET) and human PET camera (HOTPET) for the evaluation. Na-22 point source experiment results demonstrated that resolution degradations in both cameras were eliminated. As expected, with sinogram restoration method the image quality was dramatically improved in the small animal PET system evaluated with micro-deluxe phantom and rat data. However, there was no improvement of Hoffman brain-phantom image in the human PET with rotatable gantry, which may relate to the detector gaps and scatter background existing in the original sinograms.
影响因子：
3.5
作者：
Qi, JY;Leahy, RM;Farquhar, TH
通讯作者：
Farquhar, TH