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Normalized gradient fields for nonlinear motion correction of DCE-MRI time series.
MedLine Citation:
PMID:  24440179     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Dynamic MR image recordings (DCE-MRI) of moving organs using bolus injections create two different types of dynamics in the images: (i) spatial motion artifacts due to patient movements, breathing and physiological pulsations that we want to counteract and (ii) signal intensity changes during contrast agent wash-in and wash-out that we want to preserve. Proper image registration is needed to counteract the motion artifacts and for a reliable assessment of physiological parameters. In this work we present a partial differential equation-based method for deformable multimodal image registration using normalized gradients and the Fourier transform to solve the Euler-Lagrange equations in a multilevel hierarchy. This approach is particularly well suited to handle the motion challenges in DCE-MRI time series, being validated on ten DCE-MRI datasets from the moving kidney. We found that both normalized gradients and mutual information work as high-performing cost functionals for motion correction of this type of data. Furthermore, we demonstrated that normalized gradients have improved performance compared to mutual information as assessed by several performance measures. We conclude that normalized gradients can be a viable alternative to mutual information regarding registration accuracy, and with promising clinical applications to DCE-MRI recordings from moving organs.
Authors:
Erlend Hodneland; Arvid Lundervold; Jarle Rørvik; Antonella Z Munthe-Kaas
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-12-21
Journal Detail:
Title:  Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society     Volume:  -     ISSN:  1879-0771     ISO Abbreviation:  Comput Med Imaging Graph     Publication Date:  2013 Dec 
Date Detail:
Created Date:  2014-1-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8806104     Medline TA:  Comput Med Imaging Graph     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.
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