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Figure 8 | BMC Medical Physics

Figure 8

From: The 2D Hotelling filter - a quantitative noise-reducing principal-component filter for dynamic PET data, with applications in patient dose reduction

Figure 8

Quality control. Examples from the 9-frame FDG brain data (20 MBq activity): A) Scree plot showing the normalized eigenvalues and explanation factor as a function of the principal component number n. B) A ROI explanation factor plot showing the average pixel value from the principal component images, of five regions-of-interest, plotted as a function of principal component number n. The interpretation is that n equals 4 is a good selection for this data, since the intensities for all ROIs have converged to near zero at n=4.

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