Evaluation of penalized maximum-likelihood PET image reconstruction for ROI quantification

Published: Oct 1, 2016
Abstract
Region of interest (ROI) quantification is one of the important tasks in positron emission tomography (PET) imaging. Statistical reconstruction methods based on the penalized maximum-likelihood (PML) principle have been developed to improve image quality over early stopping with EM-based methods and analytic methods. The penalty function that controls spatial smoothness plays an important role in PML reconstruction. The commonly used quadratic...
Paper Details
Title
Evaluation of penalized maximum-likelihood PET image reconstruction for ROI quantification
Published Date
Oct 1, 2016
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