...
首页> 外文期刊>The Internet Journal of Cardiology >A simple method for calculating the trade-off between noise / sampling error and interval number in gated SPECT.
【24h】

A simple method for calculating the trade-off between noise / sampling error and interval number in gated SPECT.

机译:一种简单的方法,用于计算门控SPECT中噪声/采样误差与间隔数之间的折衷。

获取原文
           

摘要

Sir:The introduction of cardiac gating to the myocardial perfusion SPECT (single photon emission computed tomography) study affords the ability to simultaneously assess both myocardial perfusion and function (1). The ease of its application for image acquisition, processing and display and automatic quantitation capabilities assured its rapid and widespread clinical implementation. While gating myocardial perfusion SPECT offers physical and clinical advantages that are well recognised, the improved temporal resolution over non gated SPECT may come at the expense of a deteriorating signal to noise ratio (SNR) (2). That is, gated SPECT results in lower count density per individual frame compared to the same SPECT acquisition without gating by a factor equal to the number of gate intervals. Not only does a poor SNR have an adverse effect on image quality but the lower count statistics also result in greater statistical uncertainty for data entering mathematical reconstruction.SPECT reconstruction and filtering complicate calculations of SNR because the processed data are no longer comprised of pixels independent from one another (3). Thus, the following equation is used to determine the reconstructed SNR for data reconstructed using a ramp filter:
机译:主席先生:在心肌灌注SPECT(单光子发射计算机断层扫描)研究中引入心脏门控技术可以同时评估心肌灌注和功能(1)。它易于用于图像采集,处理和显示以及自动定量功能,确保了其快速广泛的临床应用。虽然门控心肌灌注SPECT提供了公认的物理和临床优势,但与非门控SPECT相比,改进的时间分辨率可能以信噪比(SNR)恶化为代价(2)。也就是说,与相同的SPECT采集相比,门控SPECT导致每帧的计数密度更低,而门控的门限等于门间隔数。不良的SNR不仅会对图像质量产生不利影响,而且较低的统计量还会导致进入数学重建的数据的统计不确定性更大.SPECT重建和滤波使SNR的计算复杂化,因为处理后的数据不再由独立于像素的像素组成彼此(3)。因此,以下等式用于确定使用斜坡滤波器重建的数据的重建SNR:

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