Journal of Digital Imaging

, Volume 24, Issue 3, pp 485–493 | Cite as

Retrospective Evaluation of PET-MRI Registration Algorithms

  • Zuyao Y. Shan
  • Sara J. Mateja
  • Wilburn E. Reddick
  • John O. Glass
  • Barry L. Shulkin
Article

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 [18F]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.

Key words

Normalization PET MR brain tissue concordance 

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Copyright information

© Society for Imaging Informatics in Medicine 2010

Authors and Affiliations

  • Zuyao Y. Shan
    • 1
  • Sara J. Mateja
    • 2
  • Wilburn E. Reddick
    • 1
  • John O. Glass
    • 1
  • Barry L. Shulkin
    • 3
  1. 1.Division of Translational Imaging Research, Department of Radiological SciencesMS 212, St. Jude Children’s Research HospitalMemphisUSA
  2. 2.Eckerd CollegeSt. PetersburgUSA
  3. 3.Division of Nuclear Medicine, Department of Radiological SciencesSt. Jude Children’s Research HospitalMemphisUSA

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