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首页> 外文会议>IFAC Symposium on Modeling and Control in Biomedical Systems >A STUDY OF PARTIAL VOLUME EFFECTS ON CLUSTERING-AIDED PARAMETRIC IMAGES
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A STUDY OF PARTIAL VOLUME EFFECTS ON CLUSTERING-AIDED PARAMETRIC IMAGES

机译：聚类辅助参数图像的部分体积效应研究

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Cluster analysis has been applied in functional imaging to derive parametric images with improved signal to noise ratio. However, the impact of partial volume effects (PVE) on the parametric images aided by clustering is still uncertain. Computer simulations were performed to generate simulated dynamic data at various noise levels. Reconstructed data were processed by cluster analysis. The generalized linear least squares (GLLS) method was used to estimate parametric images. The results were compared with the parametric images generated without clustering. The results demonstrate that clustering does not enhance PVE, but reduces PVE. Furthermore, clustering-aided parametric images are shown to be insensitive to noise.
机译：集群分析已应用于功能性成像，以推导出具有改进的信号的参数图像到噪声比。然而，部分体积效应（PVE）对聚类辅助的参数图像的影响仍然不确定。执行计算机模拟以在各种噪声水平下产生模拟动态数据。通过集群分析处理重建数据。广义线性最小二乘（GLL）方法用于估计参数图像。将结果与在没有聚类的情况下产生的参数图像进行比较。结果表明，聚类不会增强PVE，但减少PVE。此外，显示聚类辅助参数图像对噪声不敏感。

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