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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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摘要

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:聚类分析已应用于功能成像中,以得到具有改进信噪比的参数图像。但是,部分体积效应(PVE)对由聚类辅助的参数图像的影响仍然不确定。进行计算机模拟以生成各种噪声水平的模拟动态数据。通过聚类分析处理重建的数据。广义线性最小二乘法(GLLS)方法用于估计参数图像。将结果与不聚类生成的参数图像进行比较。结果表明聚类不会增强PVE,但会降低PVE。此外,显示了群集辅助参数图像对噪声不敏感。

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