Nonrigid Registration of Monomodal MRI Using Linear Viscoelastic Model

Jian Yang, Yang Chen, Jingfan Fan and Songyuan Tang

Abstract and Applied Analysis, 2014, vol. 2014, 1-8

Abstract:

This paper describes a method for nonrigid registration of monomodal MRI based on physical laws. The proposed method assumes that the properties of image deformations are like those of viscoelastic matter, which exhibits the properties of both an elastic solid and a viscous fluid. Therefore, the deformation fields of the deformed image are constrained by both sets of properties. After global registration, the local shape variations are assumed to have the properties of the Maxwell model of linear viscoelasticity, and the deformation fields are constrained by the corresponding partial differential equations. To speed up the registration, an adaptive force is introduced according to the maximum displacement of each iteration. Both synthetic datasets and real datasets are used to evaluate the proposed method. We compare the results of the linear viscoelastic model with those of the fluid model on the basis of both the standard and adaptive forces. The results demonstrate that the adaptive force increases in both models and that the linear viscoelastic model improves the registration accuracy.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:792194

DOI: 10.1155/2014/792194

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