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>Effect of reconstruction algorithm on parametric images in PET dynamic study: comparison between FBP and OS-EM
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Effect of reconstruction algorithm on parametric images in PET dynamic study: comparison between FBP and OS-EM
Ordered subset expectation maximization (OS-EM) algorithm is used for image reconstruction to suppress image noise and to make non-negative value images. We have applied OS-EM to a digital phantom and to an 18{sup left}F-FDG PET kinetic study to generate parametric images. A 45min dynamic scan was performed starting injection of 86-223MBq of FDG using a 2D PET scanner. The images were reconstructed with OS-EM (6 iterations, 16 subsets) and with filtered backprojection (FEP), and K1, k2 and k3 images were created with Marquardt method. The activity images by OS-EM correlated fairly well with those by FBP. Although the mean values of K1, k2 and k3 for OS-EM were almost equal to those for FBP, the pixel correlation between OS-EM and FEP showed an offset from the line of identity in parametric images, possibly due to different noise characteristics. The kinetic fitting error for OS-EM was no smaller than that for FEP. The results suggest that OS-EM is not necessarily superior to FBP for creating parametric images.
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