NDLI: Efficient symmetric and inverse-consistent deformable registration through interleaved optimization

Content Provider	IEEE Xplore Digital Library
Author	Guetter, C. Hui Xue Chefd'hotel, C. Guehring, J.
Copyright Year	2011
Description	Author affiliation: Siemens Corporate Research, Princeton, NJ, USA (Guetter, C.; Hui Xue; Chefd'hotel, C.; Guehring, J.)
Abstract	Symmetry and inverse consistency are two important features for deformable image registration in medical imaging analysis. This work presents a novel registration method computing symmetric and inverse-consistent image alignment efficiently while preserving high accuracy and consistency of the mapping. This is achieved by optimizing a symmetric energy functional estimating forward and backward transformations constrained by the transformations being inverse to each other. In other words, this approach uses an interleaved optimization scheme borrowed from multiobjective optimization theory constrained by an inverse-consistency criterium. The new optimization scheme provides an efficient search in the space of diffeomorphisms while solving the symmetric registration problem. Moreover, it is not bound to any specific optimizer or energy functional other than to the requirement of being well-defined. In our experiments on clinical cardiac data, superior performance compared to standard, one-directional registration is achieved. The resulting inverse-consistency and symmetry errors match previously reported values while being computed more efficiently. This general approach addresses a clinical need for consistent, highly accurate image alignment achieved in a practically accepted time-frame.
Starting Page	590
Ending Page	593
File Size	259349
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872476
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration Magnetic resonance imaging Accuracy Time series analysis Estimation Optimized production technology Time Series Analysis Image Registration Optimization Methods Magnetic Resonance
Content Type	Text
Resource Type	Article

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