Authors: Kazuya Sakaguchi Hiroyuki Shinohara Takeyuki Hashimoto Takashi Yokoi Kimiichi Uno
Publish Date: 2008/06/06
Volume: 22, Issue: 4, Pages: 269-
Abstract
Recently wholebody positron emission tomography PET examination has greatly developed To reduce the overall examination time the transmission scan has been increasingly shortened Many noisereduction processes have been developed for countlimited transmission data Segmented attenuation correction SAC is one method by which the pixel values of transmission image are transformed into several groups The median root priorordered subset convex MRPOSC algorithm is another method that is applicable to control the noise level on the basis that the change of the pixel value is locally monotonous This article presents an alternative approach on the basis of the Bayesian iterative reconstruction technique incorporating a median prior and an anatomical prior from the segmented μmap for countlimited transmission dataIn the thorax simulation study the mean square error from the true transmission image of the presented method 574 × 10−5 was lower than MRPOSC 672 × 10−5 and SAC 708 × 10−5 The results indicate that the noise of the image reconstructed from the proposed technique was decreased more than that of MRPOSC without segmentation error such as that of an SAC image In the thorax phantom study the emission image that was corrected using the proposed technique displayed little noise and bias 2742 ± 096 kBq/ml calculated from a region of interest drawn on the liver of the phantom it was very similar to the true value 280 kBq/ml
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