Related Experiment Video
Updated: Jun 13, 2026
Whole-body PET/MRI of Pediatric Patients: The Details That Matter
Published on: December 19, 2017
Retrospective evaluation of PET-MRI registration algorithms
Zuyao Y Shan1, Sara J Mateja, Wilburn E Reddick
1Division of Translational Imaging Research, Department of Radiological Sciences, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA. Zuyao.Shan@stjude.org
Abstract:
The purpose of this study is to evaluate the accuracy of registration positron emission tomography (PET) head images to the MRI-based brain atlas. The [(18)F]fluoro-2-deoxyglucose PET images were normalized to the MRI-based brain atlas using nine registration algorithms including objective functions of ratio image uniformity (RIU), normalized mutual information (NMI), and normalized cross correlation (CC) and transformation models of rigid-body, linear, affine, and nonlinear transformations. The accuracy of normalization was evaluated by visual inspection and quantified by the gray matter (GM) concordance between normalized PET images and the brain atlas. The linear and affine registration based on the RIU provided the best GM concordance (average similarity index of 0.71 for both). We also observed that the GM concordances of linear and affine registration were higher than those of the rigid and nonlinear registration among the methods evaluated.
