Probabilistic Air Segmentation and Sparse Regression Estimated Pseudo CT for PET/MR Attenuation Correction

Authors
Publication date
17 December 2014
Publisher
Doi
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    Abstract

    A probabilistic air segmentation and sparse regression method was developed for PET attenuation correction with a mean whole-brain PET error of 2.42% ± 1.0 by estimating continuous pseudo CT images from T1-weighted MR and atlas CT images

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