Retrospective evaluation of PET-MRI registration algorithms

Zack Y Shan; S J Mateja; W E Reddick; J O Glass; B L Shulkin

doi:10.1007/s10278-010-9300-y

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Retrospective evaluation of PET-MRI registration algorithms

Journal article

Peer reviewed

Retrospective evaluation of PET-MRI registration algorithms

Zack Y Shan, S J Mateja, W E Reddick, J O Glass and B L Shulkin

Journal of Digital Imaging, Vol.24(3), pp.485-493

2011

DOI: https://doi.org/10.1007/s10278-010-9300-y

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Abstract

normalization

PET

Mr.

brain

tissue concordance

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.

Details

Title: Retrospective evaluation of PET-MRI registration algorithms
Authors: Zack Y Shan (Author) - St. Jude Children's Research Hospital, United States
S J Mateja (Author) - Eckerd College, United States
W E Reddick (Author) - St. Jude Children's Research Hospital, United States
J O Glass (Author) - St. Jude Children's Research Hospital, United States
B L Shulkin (Author) - St. Jude Children's Research Hospital, United States
Publication details: Journal of Digital Imaging, Vol.24(3), pp.485-493
Publisher: Springer New York LLC
Date published: 2011
DOI: 10.1007/s10278-010-9300-y
ISSN: 0897-1889
Organisation Unit: University of the Sunshine Coast, Queensland; Thompson Institute
Language: English
Record Identifier: 99450731102621
Output Type: Journal article

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